2023年

1. Han, Y., Zuo, D., Xu, Z., Wang, G., Peng, D., Pang, B., & Yang, H. (2023). Attributing the Impacts of Vegetation and Climate Changes on the Spatial Heterogeneity of Terrestrial Water Storage over the Tibetan Plateau. Remote Sensing, 15(1), 117.

   https://doi.org/10.3390/rs15010117

2. Cai, S., Zuo, D., Wang, H., Xu, Z., Wang, G., & Yang, H. (2023). Assessment of agricultural drought based on multi-source remote sensing data in a major grain producing area of Northwest China. Agricultural Water Management, 278, 108142.

   https://doi.org/10.1016/j.agwat.2023.108142

3. Xu, Z. X., & Zhang, R. (2023). Compound extreme events in Yarlung Zangbo River Basin from 1977 to 2018. Water Science and Engineering, 16(1), 36-44.

   https://doi.org/10.1016/j.wse.2022.08.002

4. Li, Y., Li, X., Liu, Q., Xu, Z., & Wang, M. (2023). Community characteristics of macroinvertebrates and ecosystem health assessment in Qin River, a main tributary of the Yellow River in China. Environmental Science and Pollution Research, 30(19), 56410-56424.

   https://doi.org/10.1007/s11356-023-26314-9

5. Zuo, D., Chen, G., Wang, G., Xu, Z., Han, Y., Peng, D., ... & Yang, H. (2023). Assessment of changes in water conservation capacity under land degradation neutrality effects in a typical watershed of Yellow River Basin, China. Ecological Indicators, 148, 110145.

   https://doi.org/10.1016/j.ecolind.2023.110145

6. Hu, X., Zuo, D., Yan, B., Xu, Z., Wang, G., Peng, D., ... & Yang, H. (2023). Changes in Rainfall and Flood Characteristics under Nonstationarity in a Mountain Basin of Northwest China. Journal of Hydrologic Engineering, 28(5), 05023006.

   https://doi.org/10.1061/JHYEFF.HEENG-5283

7. Zhao, Y., Xia, J., Xu, Z., Qiao, Y., Shen, J., & Ye, C. (2023). Impact of Urbanization on Regional Rainfall-Runoff Processes: Case Study in Jinan City, China. Remote Sensing, 15(9), 2383.

   https://doi.org/10.3390/rs15092383

8. Rasool, U., Yin, X., Xu, Z., Faheem, M., Rasool, M. A., Siddique, J., ... & Senapathi, V. (2023). Evaluating the relationship between groundwater quality and land use in an urbanized watershed. Environmental Science and Pollution Research, 1-20.

   https://doi.org/10.1007/s11356-023-27775-8

9. Rasool, U., Yin, X., Xu, Z., Padulano, R., Rasool, M. A., Siddique, M. A., ... & Senapathi, V. (2023). Rainfall-driven machine learning models for accurate flood inundation mapping in Karachi, Pakistan. Urban Climate, 101573.

   https://doi.org/10.1016/j.uclim.2023.101573

10. Li, X., Wang, L., Chen, D., Thompson, L., Yang, K., Zhong, S., ... & Song, L. (2023). Large-scale circulation dominated precipitation variation and its effect on potential water availability across the Tibetan Plateau. Environmental Research Letters.

    https://doi.org/10.1088/1748-9326/acdd15

11. Zuo, D., Bi, Y., Song, Y., Xu, Z., Wang, G., Ma, G., ... & Yang, H. (2023). The response of non-point source pollution to land use change and risk assessment based on model simulation and grey water footprint theory in an agricultural river basin of Yangtze River, China. Ecological Indicators, 154, 110581.

    https://doi.org/10.1016/j.ecolind.2023.110581

12. Zhao, Y., Xia, J., Xu, Z., Qiao, Y., Zhao, G., & Zhang, H. (2023). An urban hydrological model for flood simulation in piedmont cities: Case study of Jinan City, China. Journal of Hydrology, 625, 130040.

    https://doi.org/10.1016/j.jhydrol.2023.130040

13. Wang, J., Zhao, W., Xu, Z., Ding, J., Yan, Y., & Ferreira, C. S. S. (2023). Plant functional traits explain long-term differences in ecosystem services between artificial forests and natural grasslands. Journal of Environmental Management, 345, 118853.

    https://doi.org/10.1016/j.jenvman.2023.118853

14. Liu, X., Lu, H., Yang, K., Xu, Z., & Wang, J. (2023). Responses of runoff processes to vegetation dynamics during 1981–2010 in the Yarlung Zangbo River basin. Journal of Hydrology: Regional Studies, 50, 101553.

    https://doi.org/10.1016/j.ejrh.2023.101553

15. Chen, H., Xu, Z., Chen, J., Liu, Y., & Li, P. (2023). Joint Risk Analysis of Extreme Rainfall and High Tide Level Based on Extreme Value Theory in Coastal Area. International Journal of Environmental Research and Public Health, 20(4), 3605.

    https://doi.org/10.3390/ijerph20043605

    2022年

16. Ye C. L., Xu Z. X., Lei X. H., Zhang R., Chu Q., Li P., Ban C.G. (2022). Assessment of the impact of urban water system scheduling on urban flooding by using coupled hydrological and hydrodynamic model in Fuzhou City, China[J]. Journal of Environmental Management, 321: 115935.

    https://doi.org/10.1016/j.jenvman.2022.115935

17. Umair R., Yin X. A., Xu Z. X., Muhammad A. R., Venkatramanan S., Mureed H., Jamil S., Juan C. T. (2022). Mapping of groundwater productivity potential with machine learning algorithms: A case study in the provincial capital of Baluchistan, Pakistan[J]. Chemosphere, 303(3):135265.

    https://doi.org/10.1016/j.chemosphere.2022.135265

18. Chen S. Z., Fu Y. S. Geng X. J., Hao Z. C., Tang J., Zhang X., Xu Z. X., Hao F. H. (2022). Influences of Shifted Vegetation Phenology on Runoff Across a Hydroclimatic Gradient[J]. Frontiers in Plant Science, 12:802664.

    https://doi.org/10.3389/fpls.2021.802664

19. Zuo D. P., Han Y. N., Gao X. X., Ma G. W., Xu Z. X., Bi Y. Q., Abbaspour K. C., Yang H. (2022). Identification of priority management areas for non-point source pollution based on critical source areas in an agricultural watershed of Northeast China[J]. Environmental Research, 214(2): 113892.

    https://doi.org/10.1016/j.envres.2022.113892

20. Hu X. H., Zuo D. P., Xu Z. X., Huang Z. F., Liu B., Han Y. N., Bi Y. Q. (2022). Response of macroinvertebrate community to water quality factors and aquatic ecosystem health assessment in a typical river in Beijing, China[J]. Environmental Research, 212(D):113474.

    https://doi.org/10.1016/j.envres.2022.113474

21. Li, H., Shan, B., Liu, L., Wang, L., Koppa, A., Zhong, F., ... & Xu, Z. (2022). Significant regime shifts in historical water yield in the Upper Brahmaputra River basin. Hydrology and Earth System Sciences, 26(24), 6399-6412.

    https://doi.org/10.5194/hess-26-6399-2022

22. Han, Y., Zuo, D., Xu, Z., Wang, G., Peng, D., Pang, B., & Yang, H. (2022). Attributing the Impacts of Vegetation and Climate Changes on the Spatial Heterogeneity of Terrestrial Water Storage over the Tibetan Plateau. Remote Sensing, 15(1), 117.

    https://doi.org/10.3390/rs15010117

23. Cheng T., Huang B. S., Yang Z. F., Qiu J., Zhao B. K., and Xu Z. X. (2022). On the effects of flood reduction for green and grey sponge city measures and their synergistic relationship-Case study in Jinan sponge city pilot area. Urban Climate, 42, 101058.

    https://doi.org/10.1016/j.uclim.2021.101058

24. Ye C. L., Xu Z. X., Lei X. H., Liao W. H., Ding X. C., Liang Y.S. Assessment of urban flood risk based on data-driven models: A case study in Fuzhou City, China[J]. International Journal of Disaster Risk Reduction, 82:103318.

    https://doi.org/10.1016/j.ijdrr.2022.103318

25. Jiang Y., Xu Z. X., Xiong L.Y. (2022). Runoff variation and response to precipitation on multi-spatial and temporal scales in the southern Tibetan Plateau[J]. Journal of Hydrology: Regional Studies, 42:101157.

    https://doi.org/10.1016/j.ejrh.2022.101157

26. Chen, H., Xu, Z., Liu, Y., Huang, Y., and Yang, F. (2022). Urban flood risk assessment based on dynamic population distribution and fuzzy comprehensive evaluation. Int. J. Environ. Res. Public Health, 19, 16406.

    https://doi.org/10.3390/=ijerph192416406

27. Zhang W. Q., Liu L., Lun Y. R., Cheng L., Li X. P., Xu Z. X. (2022). Projections of future precipitation and air temperature over the Tibetan Plateau based on Coupled Model Intercomparison Project Phase 6 multimodel ensembles[J]. International Journal of Climatology.

    https://doi.org/10.1002/joc.7865

28. Liu L. F., Xu Z. X., Yin X. W., Li F. L., Wang M. (2022). Development of an index based on fish, macroinvertebrates, phytoplankton, and physicochemical properties to assess urban aquatic ecosystems in Jinan, China[J]. River Research and Applications.

    https://doi.org/10.1002/rra.4062

29. Han H., Hou J. M., Xu Z. X., Jing H. X., Gong J. H., Zuo D. P., Li B. Y., Yang S. X., Kang Y. D., Wang R. (2022). A GPU-Accelerated Hydrodynamic Model for Urban Rainstorm Inundation Simulation: A Case Study in China[J]. KSCE Journal of Civil Engineering, 26(3):1494-1504.

    https://doi.org/10.1016/j.jhydrol.2011.12.003

30. Ren M. F., Villarini G., Pang B., Xu Z. X., Du L. G., Wang Y. C. (2022). Hydrological response in a highly urbanized watershed in China[J]. Journal of Water and Climate Change, 13(5):2171-2187.

    https://doi.org/10.2166/wcc.2022.041

31. Ban, C., Xu, Z., Zuo, D., Zhang, R., Chen, H., Ye, C., ... & Waciren, D. (2022). Impact of variability in the hydrological cycle components on vegetation growth in an alpine basin of the southeastern Tibet Plateau, China. Hydrology Research, 53(1), 124-140.

    https://doi.org/10.2166/nh.2021.086

    2021年

32. Zhao G., Pang B., Xu Z. X,. Cui L. Z., Wang J. J., Zuo D. P., and Peng D. Z. (2021). Improving urban flood susceptibility mapping using transfer learning[J].  Journal of Hydrology , 602, 12677.

    https://doi.org/10.1016/j.jhydrol.2021.126777

33. Jiang Y., Xiong L. Y., Xu Z. X., and Huang G. H. (2021). A simulation-based optimization model for watershed multi-scale irrigation water use with considering impacts of climate changes[J].  Journal of Hydrology , 598, 126395.

    https://doi.org/10.1016/j.jhydrol.2021.126395

34. Zhao Y. J., Xia J., Xu Z. X., Zou L., Qiao Y. F., and Li P. (2021). Impact of urban expansion on rain island effect in Jinan City, North China[J].  Remote Sensing . 13(15): 2989.

    https://doi.org/10.3390/rs13152989

35. Li P., Xu Z. X., Ye C. L., Ren M. F., Chen H., Wang J. J., and Song S. L. (2021). Assessment on IMERG V06 precipitation products using rain gauge data in Jinan City, Shandong Province, China[J].  Remote Sensing . 13(7):1241.

    https://doi.org/10.3390/rs13071241

36. Zhang R., Xu Z. X., Zuo D. P., and Ban C. G. (2021). Variation of snow cover in the Nyang River basin of southeastern Tibetan Plateau, China[J].  Journal of Water and Climate Change , jwc2021037.

    https://doi.org/10.2166/wcc.2021.037

37. Li P. J., Zuo D. P., Xu Z. X., Zhang R., Han Y. N., Sun W. C., Pang B., Ban C. G., Kan G. Y., and Yang H. (2021). Dynamic changes of land use/cover and landscape pattern in a typical alpine river basin of the Qinghai‐Tibet Plateau, China[J].  Land Degradation & Development , 32(15): 4327-4339.

    https://doi.org/10.1002/ldr.4039

38. Fan J. T., Huang G. X., Chi M. H., Shi Y., Jiang J. Y., Feng C. Y., Yan Z. G., and Xu Z. X. (2021). Prediction of chemical reproductive toxicity to aquatic species using a machine learning model: An application in an ecological risk assessment of the Yangtze River, China[J].  Science of the Total Environment , 796: 148901.

    https://doi.org/10.1016/j.scitotenv.2021.148901

39. Shen H. B., and Xu Z. X. (2021). Monitoring and evaluating rainfall–runoff control effects of a low impact development system in future science park of Beijing[J].  Journal of the American Water Resources Association , 57(4): 638 – 651.

    https://doi.org/10.1111/1752-1688.12934

40. Wang X. X., Liu L., Niu Q. K., Li H., and Xu Z. X. (2021). Multiple data products reveal long-term variation characteristics of terrestrial water storage and Its dominant factors in data-scarce alpine regions[J].  Remote Sensing , 13(12): 2356.

    https://doi.org/10.3390/rs13122356

41. Zuo D. P., Han Y. N., Xu Z. X., Li P. J., Ban C. G., Sun W. C., Pang B., Peng D. Z., Kan G. Y., Zhang R., and Yang H. (2021). Time-lag effects of climatic change and drought on vegetation dynamics in an alpine river basin of the Tibet Plateau, China[J].  Journal of Hydrology , 600: 126532.

    https://doi.org/10.1016/j.jhydrol.2021.126532

42. Liu X. W., Xu Z. X., Yang H., and Vaghefi SA. (2021). Responses of the Glacier Mass Balance to Climate Change in the Tibetan Plateau During 1975–2013[J].  Journal of Geophysical Research: Atmospheres , 126(7): e2019JD032132.

    https://doi.org/10.1029/2019JD032132

43. Lun Y. R., Liu L., Cheng L., Li X. P., Li H., and Xu Z. X. (2021). Assessment of GCMs simulation performance for precipitation and temperature from CMIP5 to CMIP6 over the Tibetan Plateau[J].  International Journal of Climatology , 41(7): 3994-4018.

    https://doi.org/10.1002/joc.7055

44. Xin J. L., Sun X. Y., Liu L., Li H., Liu X. C., Li X. P., Cheng L., and Xu Z. X. (2021). Quantifying the contribution of climate and underlying surface changes to alpine runoff alterations associated with glacier melting[J].  Hydrological Processes , 35(3): e14069.

    https://doi.org/10.1002/hyp.14069

    2020年

45. Liu X. W., and Xu Z. X. (2020). Spatial and temporal pattern of extreme temperature during 1961–2018 in China[J].  Journal of Water and Climate Change , 11(4): 1633-1644.

    https://doi.org/10.2166/wcc.2019.302

46. Liu L. F., Xu Z. X., Yang F., Yin X. W., Wu W., and Li J. S. (2020). Comparison of Fish, Macroinvertebrates and Diatom Communities in Response to Environmental Variation in the Wei River Basin, China[J].  Water , 12(12):3422.

    https://doi.org/10.3390/w12123422

47. Li P. J., Zuo D. P., Xu Z. X., Gao X. X., Peng D. Z., Kan G. Y., Sun W. C., Pang B., and Yang H. (2020). Impact of urbanization on variability of annual and flood season precipitation in a typical city of North China[J].  Hydrology Research , 51(5):1150–1169.

    https://doi.org/10.2166/nh.2020.176

48. Zhao G., Pang B., Xu Z. X., Peng D. Z., and Zuo D. P. (2020). Urban flood susceptibility assessment based on convolutional neural networks[J].  Journal of Hydrology , 590:125235.

    https://doi.org/10.1016/j.jhydrol.2019.02.008

49. Niu Q. K., Liu L., Heng J. X., Li H., and Xu Z. X. (2020). A Multi-Index evaluation of drought characteristics in the Yarlung Zangbo river basin of Tibetan Plateau, Southwest China[J].  Frontiers in Earth Science , 8:213.

    https://doi.org/10.3389/feart.2020.00213

50. Ren M. F., Xu Z. X., Pang B., Liu J. T., and Du L. G. (2020). Spatiotemporal variability of precipitation in Beijing, China during the Wet Seasons[J].  Water , 12(3):716.

    https://doi.org/10.3390/w12030716

51. Ban C. G., Xu Z. X., Zuo D. P., Liu X. W., Zhang R., and Wang J. (2020). Vertical influence of temperature and precipitation on snow cover variability in the Yarlung Zangbo River basin, China[J].  International Journal of Climatology , 2020, 40(15): 1-14.

    https://doi.org/10.1002/joc.6776

52. Zhao G., Pang B., Xu Z. X., and Xu L. Y. (2020). A hybrid machine learning framework for real-time water level prediction in high sediment load reaches[J].  Journal of Hydrology , 581: 124422.

    https://doi.org/10.1016/j.jhydrol.2019.124422

53. Zhang R., Xu Z. X., Zuo D. P., and Ban C. G. (2020). Hydro-meteorological trends in the Yarlung Zangbo river basin and possible associations with large-scale circulation[J].  Water , 12(1): 144.

    https://doi.org/10.3390/w12010144

54. Cheng T., Xu Z. X., Yang H., Hong S. Y., and J P. Leitao. (2020). Analysis of effect of rainfall patterns on urban flood process by coupled hydrological and hydrodynamic modeling[J].  Journal of hydrologic engineering , 25(1): 04019061.1 - 04019061.14.

    https://doi.org/10.1061/(asce)he.1943-5584.0001867

    2019年

55. Liu X. W., Xu Z. X., and Peng D. Z. (2019). Spatio-temporal patterns of vegetation in the Yarlung Zangbo river, China during 1998–2014[J].  Sustainability,  11(16): 4334.

    https://doi.org/10.3390/su11164334

56. Zuo D. P., Cai S. Y., Xu Z. X., Peng D. Z., Kan G. Y., Sun W. C., Pang B., and Yang H. (2019). Assessment of meteorological and agricultural droughts using in-situ observations and remote sensing data[J].  Agricultural Water Management , 222: 125-138.

    https://doi.org/10.1016/j.agwat.2019.05.046

57. Li H., Liu L., Liu X. C., Li X. P., and Xu Z. X. (2019). Greening implication inferred from vegetation dynamics interacted with climate change and human activities over the Southeast Qinghai–Tibet Plateau[J].  Remote Sensing , 11(20): 2421.

    https://doi.org/10.3390/rs11202421

58. Günter Blschl., Bierkens M F. P., Chambel A., et al. (2019). Twenty-three unsolved problems in hydrology (UPH) – a community perspective[J].  Hydrological Sciences Journal , 64(10): 1141-1158.

    https://doi.org/10.1080/02626667.2019.1620507

59. Liu X. W., Xu Z. X., Liu W. F., and Liu L. (2019). Responses of hydrological processes to climate change in the Yarlung Zangbo River basin[J].  Hydrological Sciences Journal , 2019, 64(16): 2057-2067.

    https://doi.org/10.1080/02626667.2019.1662908

60. Zhao G., Xu Z. X., Pang B., Tu T. B., Xu L. Y., and Du L. G. (2019). An enhanced inundation method for urban flood hazard mapping at the large catchment scale.  Journal of Hydrology , 571: 873-882.

    https://doi.org/10.1016/j.jhydrol.2019.02.008

61. Tong R. Z., Song H., Sun W. C., Xu Z. X., Yao X. L., and Yu J. S. (2019). Analyzing the impact of climate change on natural vegetation greenness using improved statistical vegetation index simulation model.  Applied Ecology and Environmental Research , 17(2): 4677-4691.

    http://dx.doi.org/10.15666/aeer/1702_46774691

62. Liu L., Niu Q. K., Heng J. X., Li H., and Xu Z. X. (2019). Transition characteristics of the dry-wet regime and vegetation dynamic responses over the Yarlung Zangbo river basin, Southeast Qinghai-Tibet Plateau.  Remote Sensing , 11(10): 1254.

    https://doi.org/10.3390/rs11101254

63. Sun W. C., Wang Y. Y., Fu S. H., Xue B. L., Wang G. Q., Yu J. S., and Xu Z. X. (2019). Spatial heterogeneity of changes in vegetation growth and their driving forces based on satellite observations of the Yarlung Zangbo River Basin in the Tibetan Plateau.  Journal of Hydrology , 574: 324-332.

    https://doi.org/10.1016/j.jhydrol.2019.04.043

64. Zhao G., Pang B., Xu Z. X., Peng D. Z., and Xu L Y. (2019). Assessment of urban flood susceptibility using semi-supervised machine learning model.  Science of the Total Environment , 659: 940-949.

    https://doi.org/10.1016/j.agwat.2019.05.046

65. Ren M. F., Pang B., Xu Z. X., Yue J. J., and Zhang R. (2019). Downscaling of daily extreme temperatures in the Yarlung Zangbo river basin using machine learning techniques.  Theoretical and Applied Climatology , 136(3-4): 1275-1288.

    https://doi.org/10.1007/s00704-018-2552-z

66. Liu X. W., Xu Z. X., Peng D. Z., and Wu G. C. (2019). Influences of the North Atlantic Oscillation on extreme temperature during the cold period in China.  International Journal of Climatology , 39(1): 43-49.

    https://doi.org/10.1002/joc.5779

67. Li H., Liu L., Shan B. Y., Xu Z. C., Niu Q. K., Cheng L., Liu X. C., and Xu Z. X. (2019). Spatiotemporal variation of drought and associated multi-scale response to climate change over the Yarlung Zangbo river basin of Qinghai–Tibet Plateau, China.  Remote Sensing , 11(13): 1596.

    https://doi.org/10.3390/rs11131596

    2018年

68. Chang X. D., Xu Z. X., Zhao G., Cheng T., and Song S. L. (2018). Spatial and temporal variations of precipitation during 1979-2015 in Jinan City, China.  Journal of Water and Climate Change , 9(3): 540-554.

    https://doi.org/10.2166/wcc.2017.029

69. Chu Q., Xu Z. X., Chen Y. H., and Han D. W. (2018). Evaluation of the ability of the weather research and Forecasting model to reproduce a sub-daily extreme rainfall event in Beijing, China using different domain configurations and spin-up times.  Hydrology and Earth System Sciences , 22(6): 3391-3407.

    https://doi.org/10.5194/hess-22-3391-2018.

70. Zuo D. P., Cai S. Y., Xu Z. X., Li F. L., Sun W. C., Yang X. J., Kan G. Y., and Liu P. (2018). Spatiotemporal patterns of drought at various time scales in Shandong Province of Eastern China.  Theoretical and Applied Climatology , 131: 271-284.

    https://doi.org/10.1007/s00704-016-1969-5.

71. Zhao G., Pang B., Xu Z. X., Yue J. J., and Tu T. B. (2018). Mapping flood susceptibility in mountainous areas on a national scale in China.  Science of the Total Environment , 615: 1133-1142.

    https://doi.org/10.1016/j.scitotenv.2017.10.037

72. Yu S. Y., Bond N. R., Bunn S. E., Xu Z. X., and Kennard M. J. (2018). Quantifying spatial and temporal patterns of flow intermittency using spatially contiguous runoff data.  Journal of Hydrology , 559: 861-872.

    https://doi.org/10.1016/j.hydrol.2018.03.009

73. Liu J. T., Xu Z. X., Bai J. R., and Ren M. F. (2018). Assessment and Correction of the PERSIANN-CDR Product in the Yarlung Zangbo River Basin, China[J].  Remote Sensing , 10(12): 2031.

    https://doi.org/10.3390/rs10122031

74. Ren M. F., Xu Z. X., Pang B., Liu W. F., Liu J. T., and Du L. G., and Wang R. (2018). Assessment of Satellite-Derived Precipitation Products for the Beijing Region.  Remote Sensing , 10(12): 1914.

    https://doi.org/10.3390/rs10121914

75. Fan J., Sun W. C., Zhao Y., Xue B. L., Zuo D. P., and Xu Z. X. (2018). Trend Analyses of Extreme Precipitation Events in the Yarlung Zangbo River Basin, China Using a High-Resolution Precipitation Product.  Sustainability , 10(5): 1396.

    https://doi.org/10.3390/su10051396

76. Sun W. C., Fan J., Wang G. Q., Ishidaira H., Bastola S., Yu J. S., Fu Y. H., Kiem A. S., Zuo D. P., and Xu Z. X. (2018). Calibrating a hydrological model in a regional river of the Qinghai–Tibet plateau using river water width determined from high spatial resolution satellite images.  Remote Sensing of Environment , 214: 100-114.

    https://doi.org/10.1016/j.rse.2018.05.020

77. Fan J. T., Li M. D., Guo F., Yan Z. G., Zheng X., Zhang Y., Xu Z. X., and Wu F. C. (2018). Priorization of River Restoration by Coupling Soil and Water Assessment Tool (SWAT) and Support Vector Machine (SVM) Models in the Taizi River Basin, Northern China.  Int. J. Environ. Res. Public Health 15: 2090.

    https://doi.org/10.3390/ijerph15102090

78. Zuo D. P., Cai S. Y., Xu Z. X., Li F. L., Sun W. C., Yang X. J., Kan G. Y., and Liu P. (2018). Spatiotemporal patterns of drought at various time scales in Shandong Province of Eastern China.  Theoretical and Applied Climatology , 131: 271–284 (2018).

    https://doi.org/10.1007/s00704-016-1969-5

    2017年

79. Liu L. F., Xu Z. X., Yin X. W., Li F. L., and Dou T. W. (2017). Development of a multimetric index based on benthic macroinvertebrates for the assessment of urban stream health in Jinan City, China. Environmental Monitoring and Assessment , 189(5): 205.

    https://doi.org/10.1007/s10661-017-5920-8

80. Yang X. J., Xu Z. X., Liu W. F., and Liu L. (2017). Spatiotemporal characteristics of extreme precipitation at multiple timescales over Northeast China during 1961-2014,  Journal of Water and Climate Change , 8(3): 535-556.

    https://doi.org/10.2166/wcc.2017.157

81. Sun W. C., Wang Y. Y., Wang G. Q., Cui X. Q., Yu J. S., Zuo D. P., and Xu Z. X. (2017). Physically based distributed hydrological model calibration based on a short period of streamflow data: case studies in four Chinese basins.  Hydrology and Earth System Sciences , 21(1): 251-265.

    https://doi.org/10.5194/hess-21-251-2017

82. Chen B., Krajewski W. F., Liu F., Fang W., and Xu Z. X. (2017). Estimating instantaneous peak flow from mean daily flow.  Hydrology Research , 48(6): 1474-1488.

    https://doi.org/10.2166/nh.2017.200

83. Li L., Xu Z. X., Zhao J., and Su L. Q. (2017). A distributed hydrological model in the Heihe River basin and its potential for estimating the required irrigation water.  Hydrology Research , 48 (1): 191-213.

    https://doi.org/10.2166/nh.2016.024

84. Liu P., Xu Z. X., and Li X. P. (2017). Projection of Climate Change Scenarios in Different Temperature Zones in the Eastern Monsoon Region, China.  Water , 9(5): 305.

    https://doi.org/10.3390/w9050305

85. Zhao H., Xu Z. X., Zhao J., and Huang W. (2017). A drought rarity and evapotranspiration-based index as a suitable agricultural drought indicator.  Ecological Indicators , 82: 530-538.

    https://doi.org/10.1016/j.ecolind.2017.07.024

86. Liu X. W., Peng D.Z, and Xu Z. X. (2017). Identification of the Impacts of Climate Changes and Human Activities on Runoff in the Jinsha River Basin, China,  Advances in Meteorology , (3-4): 1-9.

    https://doi.org/10.1155/2017/4631831

87. Pang B., Yue J. J., Zhao G., and Xu Z. X. (2017). Statistical Downscaling of Temperature with the Random Forest Model,  Advances in Meteorology , (7-8): 1-11.

    https://doi.org/10.1155/2017/7265178

88. Cheng T., Xu Z. X., and Hong S. Y. (2017). Flood Risk Zoning by Using 2D Hydrodynamic Modeling: A Case Study in Jinan City.  Mathematical Problems in Engineering , (pt.9): 5659197.1-5659197.8.

    https://doi.org/10.1155/2017/5659197

89. Chang X. D., Xu Z. X., Zhao G., Cheng T., and Song S. L. (2018). Spatial and temporal variations of precipitation during 1979-2015 in Jinan City, China.  Journal of Water and Climate Change , 9(3): 540-554.

    https://doi.org/10.2166/wcc.2017.029.

90. Liu L; and Xu Z. X. (2017). Hydrological Implications of Climate Change on River Basin Water Cycle: Case Studies of the Yangtze River and Yellow River Basins, China.  Applied Ecology and Environmental Research , 15(4): 683-704.

    https://doi.org/10.15666/aeer/1504_683704

91. Sun W. C., Wang Y. Y., Cui X. Q., Yu J. S. and Xu Z. X. (2017) Physically-based distributed hydrological model calibration based on a short period of streamflow data: case studies in two Chinese basins.  Hydrology and Earch System Sciences . 21: 251-265.

    https://doi.org/10.5194/hess-21-251-2017

    2016年

92. Hu L. T., Xu Z. X., and Huang W. D. (2016). Development of a river-groundwater interaction model and its application to a catchment in Northwestern China.  Journal of Hydrology , 543: 483-500.

    https://doi.org/10.1016/j.jhydrol.2016.10.028

93. Liu W. F., Yang H., Liu J. G., Azevedo L. B., Wang X. Y., Xu Z. X., and Schulin R. (2016). Global assessment of nitrogen losses and trade-offs with yields from major crop cultivations.  Science of   t  he Total Environment , 572: 526-537.

    https://doi.org/10.1016/j.scitotenv.2016.08.093

94. Li L., Xu Z. X., Zuo D. P., and Zhao J. (2016). A grid-based integrated surface–groundwater model (GISMOD).  Journal of Water and Climate Change , 7(2): 296-320.

    https://doi.org/10.2166/wcc.2015.006

95. Zhao J., Xu Z. X., and Singh V. P. (2016). Estimation of storage capacity for root zone at catchment scales,  Journal of Hydrology , 50: 959-972.

    https://doi.org/10.1016/j.jhydrol.2016.07.013

96. Yue J. J., Pang B., and Xu Z. X. (2016). Estimating parameters of the variable infiltration capacity model using ant colony optimization.  Water Science & Technology , 74(4): 985-993.

    https://doi.org/10.2166/wst.2016.282

97. Li Z. L., Wang Y. H., Zhao W., Xu Z. Z. and Li Z. J. (2016). Frequency analysis of high flow extremes in the Yingluoxia watershed in Northwest China,  Water , 8(5): 215.

    https://doi.org/10.3390/w8050215

98. Zuo D. P., Xu Z. X., Yao W. Y., Jin S. Y., Xiao P. Q. and Ran DC. (2016). Assessing the effects of changes in land use and climate on runoff and sediment yields from a watershed in the Loess Plateau of China.  Science of the   T  otal   E  nvironment , 544: 238-250.

    https://doi.org/10.1016/j.scitotenv.2015.11.060

99. Li L. T., Dolman, Albertus J. and Xu Z. X. (2016). Atmospheric moisture sources paths, and the quantitative importance to the Eastern Asian Monsoon Region.  Journal of Hydrometeorolog y, 17(2): 637-649.

    https://doi.org/10.1175/JHM-D-15-0082.1

100. Qiu L. H., Peng D. Z., Xu Z. X. and Liu W. F. (2016). Identification of the impacts of climate changes and human activities on runoff in the upper and middle reaches of the Heihe River basin, China,  Journal of water and Climate Change , 7(1): 251-262.

     https://doi.org/10.2166/wcc.2015.115

101. Yu S. Y., Xu Z. X., Wu W. and Zuo D. P. (2016). Effect of land use types on stream water quality under seasonal variation and topographic characteristics in the Wei River basin, China.  Ecological Indicators , 60: 202-212.

     https://doi.org/10.1016/j.ecolind.2015.06.029

102. Liu L. and Xu Z. X. (2016). Regionalization of precipitation and the spatiotemporal distribution of extreme precipitation in southwestern China.  Natural Hazards , 80(2): 1195-1211.

     https://doi.org/10.1007/s11069-015-2018-x

103. Wu W., Xu Z. X., Mark J. K., Yin X. W. and Zuo D. P. (2016). Do human disturbance variables influence more on fish community structure and function than natural variables in the Wei River basin, China?  Ecological Indicators , 61: 438-446.

     https://doi.org/10.1016/j.ecolind.2015.09.045

104. Sun W. C., Yao X. L., Cao N., Xu Z. X. and Yu J. S. (2016). Integration of soil hydraulic characteristics derived from pedotransfer functions into hydrological models: evaluation of its effects on simulation uncertainty.  Hydrology Research , 47: 5.

     https://doi.org/10.2166/nh.2016.150

105. Li L., Xu Z. X., Zhao J. and Sun L. Q. (2016). A distributed hydrological model in the Heihe River basin and its potential for estimating the required irrigation water.  Hydrology Research , 47: 5.

     https://doi.org/10.2166/nh.2016.024

106. Xu Z. X. and Zhao G. (2016). Impact of urbanization on rainfall-runoff processes: case study in the Liangshui River Basin in Beijing, China,  Proc. IAHS , 373: 7-12.

     https://doi.org/10.5194/piahs-373-7-2016

107. Zhao, J., Xu, Z. X., Singh, V.P., Zuo, D. P., Li, M. L. (2016) Sensitivity of Potential Evapotranspiration to Climate and Vegetation in a Water-Limited Basin at the Northern Edge of Tibetan Plateau.  Water Resources Management , 30(13): 4667-4680.

     https://doi.org/10.1007/s11269-016-1446-z

108. Zhao, J., Xu, Z., Singh, V.P. (2016) Estimation of root zone storage capacity at the catchment scale using improved Mass Curve Technique.  Journal of Hydrology , 540: 959-972.

     https://doi.org/10.1016/j.jhydrol.2016.07.013

109. Peng, D., Xu, Z., Qiu, L., Zhao, W. (2016) Distributed rainfall-runoff simulation for an unclosed river basin with complex river system: A case study of lower reach of the Wei River, China.  Journal of Flood Risk Management , 9(2): 169-177.

     https://doi.org/10.1111/jfr3.12121

110. Li, Y., Li, Y., Xu, Z., Li, L. (2016) Assessment of the Huntai River in China using a multimetric index based on fish and macroinvertebrate assemblages.  Journal of Freshwater Ecology , 31(2): 169-190.

     http://dx.doi.org/10.1080/02705060.2015.1070109

     2015年

111. Liu L., and Xu Z. X. (2015). Regionalization of precipitation and the spatiotemporal distribution of extreme precipitation in southwestern China.  Natural Hazards , 80(2): 1195-1211.

     http://dx.doi.org/10.1007/s11069-015-2018-x

112. Liu W. F., Xu Z. X., Li F. P., Zhang L. Y., Zhao J., and Yang H. (2015). Impacts of climate change on hydrological processes in the Tibetan Plateau: a case study in the Lhasa River basin.  Stoch Environ Res Risk Assess , 29(7): 1809-1822.

     https://doi.org 10.1007/s00477-015-1066-9

113. Zhao, J., Xu, Z. X., Zuo, D. P., and Wang, X. M. (2015), Temporal variations of reference evapotranspiration and its sensitivity to meteorological factors in Heihe River Basin, China.  Water Science and Engineering , 8(1): 1-8.

     https://doi.org/10.1016/j.wse.2015. 01.004

114. Zuo D. P., Xu Z. X., Zhao J., Abbaspour K. C., and Yang H. (2015): Response of runoff to climate change in the Wei River basin, China.  Hydrological Sciences Journal , 60(3): 508-522.

     https://doi.org/10.1080/02626667.2014.943668

115. Wang G. Q., Fang Q. Q., Wu B. B., Yang H. C., and Xu Z. X. (2015). Relationship between soil erodibility and modeled infiltration rate in different soils.  Journal of Hydrology , 528: 408-418.

     https://doi.org/10.1016/j.jhydrol.2015.06.044

116. Yu S. Y., Xu Z. X., Wu W., and Zuo D. P. (2015). Effect of land use types on stream water quality under seasonal variation and topographic characteristics in the Wei River basin, China.  Ecological Indicators, 60: 202–212.

     https://doi.org/10.1016/j.ecolind. 2015.06.029

117. Cudennec, C., Eicker, A., Pilon, P., Stoffel, M., Viglione, A., and Xu, Z. X. (2015). Preface: Extreme hydrological events,  Proc. IAHS , 369: 1-2.

     https://doi.org /10.5194/piahs-369-1-2015

118. Xu, Z. X. and Chu, Q. (2015). Climatological features and trends of extreme precipitation during 1979–2012 in Beijing, China,  Proc. IAHS , 369: 97-102.

     https://doi.org /10.5194/piahs-369-97-2015

119. Xu, Z. X., Yang, X. J., Zuo, D. P., Chu, Q., and Liu, W. F. (2015). Spatiotemporal characteristics of extreme precipitation and temperature: a case study in Yunnan Province, China,  Proc. IAHS , 369: 121-127.

     https://doi.org /10.5194/piahs-369-121-2015

120. Yu, S. Y., Xu, Z. X., Wu, W., and Zuo, D. P. (2015). Effect of land use on the seasonal variation of streamwater quality in the Wei River basin, China,  Proc. IAHS , 368: 454-459.

     https://doi.org/10.5194/piahs-368-454-2015

121. Chu, Q., Xu, Z. X., Peng, D. Z., Yang, X. J., and Yang, G. (2015). Trends of surface humidity and temperature during 1951−2012 in Beijing, China,  Proc. IAHS , 368, 126-131.

     https://doi.org/10.5194/piahs-368-126-2015

122. Xu, H. S., Xu, Z. X., Zheng, H., and Ouyang, Z. Y. (2015). Reduction of point source pollutant load: An allocation model for the watershed TMDL program.  Polish Journal of Environmental Studies , 24(1): 359-366.

123. Zuo, D., Xu, Z., Peng, D., Song, J., Cheng, L., Wei, S., and Yang, H. (2015). Simulating spatiotemporal variability of blue and green water resources availability with uncertainty analysis.  Hydrological Processes , 29(8): 1942-1955.

     https://doi.org/10.1002/hyp.10307

124. Yu, S., Xu, Z., Liu, X., Dou, T., and Xu, C. (2015). Identifying and validating freshwater ecoregions in Jinan City, China.  Journal of Hydrology , 528: 763-772.

     https://doi.org/10.1016/j.jhydrol.2015.07.010

125. Sun, W., Song, H., Yao, X., Ishidaira, H., and Xu, Z. (2015). Changes in Remotely Sensed Vegetation Growth Trend in the Heihe Basin of Arid Northwestern China.  PloS One , 10(8): e0135376.

     https://doi.org/10.1371/journal.pone.0135376

126. Fang, Q., Zhang, L., Sun, H., Wang, G., Xu, Z., and Otsuki, K. (2015). A Rainfall Simulation Study of Soil Erodibility and Available Nutrient Losses from Two Contrasting Soils in China.  Journal of the Faculty of Agriculture Kyushu University , 60: 235-242.

     https://doi.org/10.5109/1526322

127. Wu, W., Xu, Z., Zhan, C., Yin, X., and Yu, S. (2015). A new framework to evaluate ecosystem health: a case study in the Wei River basin, China.  Environmental Monitoring and Assessment , 187(7), 1-15.

     https://doi.org/10.1007/s10661-015-4596-1

128. Qiu, L., Peng, D., Xu, Z., and Liu, W. (2015). Identification of the impacts of climate changes and human activities on runoff in the upper and middle reaches of the Heihe River basin, China.  Journal of Water and Climate Change,  7(1): 251–262.

     https://doi.org/10.2166/wcc.2015.115

129. Li, Y., Li, Y., Xu, Z., and Li, L. (2015). Assessment of the Huntai River in China using a multimetric index based on fish and macroinvertebrate assemblages.  Journal of Freshwater Ecology , 31(2): 1-22.

     https://doi.org/10.1080/02705060. 2015.1070109

130. Liu L, Xu Z. (2015). Hydrological projections based on the coupled hydrological-hydraulic modeling in the complex river network region: a case study in the Taihu basin, China.  Journal of Water and Climate Change , 6(2): 386-399.

     https://doi.org/10.2166/wcc.2014.156

131. Yin X. W., Li Q. N., Zhu M. H., Song J., Wu W. and Xu, Z. X. (2015). Community structure and biological integrity of macroinvertebrates in the wet and dry seasons of Wei River basin, China.  Acta Ecologica Sinica , 35(14): 4784-4796.

     https://doi.org/10.5846/stxb201311112712

132. Zhao J., Xu Z. X., Singh V. P., Zuo D. P., Li M. (2015). Sensitivity of potential evapotranspiration to climate and vegetation in a water-limited basin at the northern edge of Tibetan Plateau.  Water Resources Management , 30(13): 4667-4680.

     https://doi.org/10.1007/s11269-016-1446-z

133. Chu Q., Xu Z. X., Peng D. Z., Yang X. J., Yang G. (2015). Trends of surface humidity and temperature during 1951-2012 in Beijing, China.  Proc. IAHS , 368: 126-131.

     https://doi.org/10.5194/piahs-368-126-2015

134. Wang G, Fang Q, Wu B, Yang H, Xu Z. (2015). Relationship between soil erodibility and modeled infiltration rate in different soils.  Journal of Hydrology , 528: 408-418.

     https://doi.org/10.1016/j.jhydrol.2015.06.044

135. Liu L. and Xu Z. X. (2015). Hydrological projections based on the coupled hydrological–hydraulic modeling in the complex river network region: a case study in the Taihu basin, China.  Journal of Water and Climate Change , 6(2): 386-399.

     https://doi.org/10.2166/wcc.2014.156

136. Li L., Xu Z. X., Zuo D. P., Zhao J. (2015). A grid-based integrated surface-groundwater model(GISMOD),  Journal of Water and Climate Change , 7, 2: 296-320.

     https://doi.org/10.2166/wcc.2015.006

     2014年

137. Yang Y, Wang G. Q., Wang L. J., Yu J. S., and Xu Z. X. (2014). Evaluation of gridded precipitation data for driving SWAT model in area upstream of Three Gorges Reservoir.  PLoS ONE , 9(11): e112725.

     https://doi.org/10.1371/journal.pone.0112725

138. Peng D., Xu Z., Qiu L., and Zhao W. (2014). Distributed rainfall-runoff simulation for an unclosed river basin with complex river system: a case study of lower reach of the Wei River, China.  Journal of Flood Risk Management , 9(2): 169-177.

     https://doi.org/10.1111/jfr3.12121

139. Li Z. L., Li C. C., Xu Z. X., and Zhou X. (2014). Frequency analysis of precipitation extremes in Heihe River basin based on generalized Pareto distribution.  Stochastic Environmental Research and Risk Assessment . 28(7): 1709-1721.

     https://doi.org/10.1007/s00477-013-0828-5

140. Li F. P., Zhang Y. Q., Xu Z. X., Liu C. M., Zhou Y. C., and Liu W. F. (2014). Runoff predictions in ungauged catchments in southeast Tibetan Plateau.  Journal of Hydrology , 511: 28-38.

     https://doi.org 10.1016/j.jhydrol.2014.01.014

141. Zuo, D. P., Xu, Z. X., Peng, D. Z., Song, J. X., Cheng, L., Wei, S. K., Abbaspour, K. C., Yang, H. (2014). Simulating spatiotemporal variability of blue and green water resources availability with uncertainty analysis[J].  Hydrological Processes , 29(8): 1942-1955.

     https://doi.org/10.1002/hyp.10307

142. Zuo, D. P., Xu, Z. X., Zhao, J., Abbaspour, K. C., Yang, H. (2014). Response of runoff to climate change in the Wei River basin, China[J].  Hydrological Sciences Journal , 60(3): 508-522.

     https://doi.org/10.1080/02626667.2014.943668

143. Li F P, Xu Z X, Liu W F, Zhang Y Q. (2014). The impact of climate change on runoff in the Yarlung Tsangpo River basin in the Tibetan Plateau[J].  Stochastic Environmental Research and Risk Assessment , 28(3): 517-526.

     https://doi.org/10.1007/s00477-013-0769-z

144. Wang G. Q., A Y. L., Xu Z. X., and Zhang S. R. (2014). The influence of land use patterns on water quality at multiple spatial scales in a river system.  Hydrol. Process ., 28(20): 5259–5272.

     https://doi.org/10.1002/hyp.10017

145. Wang G Q, Wu B B, Zhang L, Jiang H, and Xu Z X. (2014). Role of soil erodibility in affecting available nitrogen and phosphorus losses under simulated rainfall.  Journal of Hydrology , 514: 180-191.

     https://doi.org/10.1016/j.jhydrol.2014.04.028

146. Wang G Q, Yang H C, Wang L J, Xu Z X, and Xue B L. (2014). Using the SWAT model to assess impacts of land use changes on runoff generation in headwaters.  Hydrological Processes , 28(3): 1032-1042.

     https://doi.org/10.1002/hyp.9645

147. Wu W, Xu Z X, Yin X W, and Zuo D P. (2014). Assessment of ecosystem health based on fish assemblages in the Wei River basin, China.  Environmental Monitoring and Assessment , 186(6): 3701-3716.

     https://doi.org/10.1007/s10661-014-3651-7

148. Zuo D P, Xu Z X, Wu W, Zhao J, and Zhao F F. (2014). Identification of streamflow response to climate change and human activities in the Wei River basin, China[J].  Water Resources Management , 28(3): 833-851.

     https://doi.org/10.1007/s11269-014-0519-0

149. Xu, Z. X., and Zuo, D. P. (2014). Simulation of blue and green water resources in the Wei River basin, China,  Proc. IAHS , 364: 486-491.

     https://doi.org/10.5194/piahs-364- 486-2014

     2013年

150. Li F. P., Xu Z. X., Feng Y. C., Liu M., and Liu W. F. (2013). Changes of land cover in the Yarlung Tsangpo River basin from 1985 to 2005.  Environ Earth Sci  68(1): 181–188.

     https://doi.org/10.1007/s12665-012-1730-z

151. Li Z. L., Shao Q. X., Xu Z. X., and Xu C. Y. (2013). Uncertainty issues of a conceptual water balance model for a semi-arid watershed in northwest China.  Hydrol. Proces  27(2): 304-312.

     https://doi.org/10.1002/hyp.9258

152. Liu, L., Xu, Z.X., Reynard, N.S., Hu, C.W., and Jones, R.G. (2013). Hydrological analysis for water level projections in Taihu Lake, China.  Journal of Flood Risk Management . 6(1): 14-22.

     https://doi.org/10.1111/jfr3.12015

153. Wei, S.K., Yang, H., Song, J.X., Abbaspour, K., and Xu, Z.X. (2013). A wavelet-neural network hybrid modelling approach for estimating and predicting river monthly flows.  Hydrolog. Sci. J. , 58(2): 374-389.

     https://doi.org/10.1080/02626667.2012.754102

154. Xu Z. X., Liu P., and Liu W. F. (2013) Automated statistical downscaling in several river basins of the Eastern Monsoon region, China.  Climate and Land Surface Changes in Hydrology , IAHS Red Book, 359: 80-85.

155. Xu Z. X., Liu W. F., Li F. P., and Liu P. (2013) Vegetation change and its relationship with precipitation on the southern Tibetan Plateau.  Climate and Land Surface Changes in Hydrology , IAHS Red Book, 359: 418-424.

156. Wu B. B., Wang G. Q., Liu C. M., and Xu Z. X. (2013). Modeling impacts of highly regulated inflow on thermal regime and water age in a shallow reservoir.  Journal of Hydroinformatics , 15(4): 1312-1325

     https://doi.org/10.2166/hydro.2013.178

157. Li F. P., Zhang Y. Q., Xu Z. X., Teng J., Liu C. M., Liu W. F., and Mpelasoka F. (2013). The impact of climate change on runoff in the southeastern Tibetan Plateau.  Journal of Hydrology , 505(15): 188-201.

     https://doi.org/10.1016/j.jhydrol.2013.09.052

158. Li Z. L., Li C. C., Xu Z. X., and Zhou X. (2013). Frequency analysis of precipitation extremes in Heihe River basin based on generalized Pareto distribution,  Stochastic Environmental Research and Risk Assessment . 28(7): 1709–1721.

     https://doi.org/10.1007/s00477-013-0828-5

159. Fu G. B., Liu Z. F., Charles S. P., Xu Z. X., and Yao Z. J. (2013). A score based method for assessing the performance of GCMs: A case study of southeastern Australia.  Journal of Geophysical Research : Atmospheres, 118(10): 4154-4167.

     https://doi.org/10.1002/jgrd.50269

160. Wang G. Q., A Y. L., Xu Z. X., Zhang S. R. (2013). The influence of land use patterns on water quality at multiple spatial scales in a river system.  Hydrol. Proces. , 28: 5259–5272.

     https://doi.org/10.1002/hyp.10017

161. Li L., Xu Z. X., Li Y. L., Liu W. F., and Zhang L. Y. (2013). A preprocessing program for a distributed hydrological model: development and application.  Journal of Hydroinformatics. 15(4): 1258-1275.

     https://doi.org/0.2166/hydro.2013.140

162. Li F. P., Zhan C. S., Xu Z. X., Jiang S. S., and Xiong J. (2013). Remote sensing monitoring on regional crop water productivity in the Haihe River Basin. Journal of Geographical Sciences , 23(6): 1080-1090.

     https://doi.org/10.1007/s11442-013-1064-0

163. Liu Z. F., Xu Z. X., Fu G. B., and Yao Z. J. (2013). Assessing the hydrological impacts of climate change in the Headwater Catchment of the Tarim River Basin, China.  Hydrology Research , 44(5): 834-849.

     https://doi.org/10.2166/ nh.2012.237

164. Li Z. L., Li Z. J., Xu Z. X., and Zhou X. (2013). Temporal variations of reference evapotranspiration in Heihe River basin of China.  Hydrology Research , 44(5): 904–916.

     https://doi.org/10.2166/nh.2012.125

     2012年

165. Cheng L., Xu Z. X., Wang D. B., and Cai X. M. (2012). Reply to comment by Jozsef Szilagyi on "Assessing interannual variability of evapotranspiration at the catchment scale using satellite-based evapotranspiration data sets".  Water Resources Research , 48, W03802.

     https://doi.org/10.1029/2011WR011799

166. Li L., and Xu Z. X. (2012). A preprocessing program for hydrologic model - A case study in the Wei River basin.  Procedia Environmental Sciences , 13: 766-777.

     https://doi.org/10.1016/j.proenv.2012.01.070

167. Li Y. L., Liu K., Li L., and Xu Z. X. (2012). Relationship of land use/cover on water quality in the Liao River basin, China.  Procedia Environmental Sciences , 13: 1484-1493.

     https://doi.org/10.1016/j.proenv.2012.01.140

168. Liu L., Xu, Z. X., and Huang J. X. (2012). Spatio-temporal variation and abrupt changes for major climate variables in the Taihu Basin, China.  Stoch. Environ. Res. Risk Assess. , 26(6): 777–791.

     https://doi.org/0.1007/s00477-011-0547-8

169. Liu Z. F., Xu Z. X., Yao Z. J. and Huang H. Q. (2012). Comparison of surface variables from ERA and NCEP reanalysis with station data over eastern China.  Theoretical and Applied Climatology , 107(3-4): 611-621.

     https://doi.org/10.1007/s00704 -011-0501-1

170. Liu X. C., Xu Z. X., and Yu R. H. (2012). Spatiotemporal variability of drought and the potential climatological driving factors in the Liao River basin.  Hydrol. Process . 26(1): 1-14.

     https://doi.org/10.1002/hyp.8104

171. Wang G. Q., Jiang H., Xu Z. X., Wang L. J., and Yue W. F. (2012). Evaluating the effect of land use changes on soil erosion and sediment yield using a grid-based distributed modelling approach.  Hydrol. Process . 26(23): 3579-3592.

     https://doi.org/ 10.1002/hyp.9193

172. Wei S. K., Yang H., Song J. X., Abbaspour K. C., and Xu Z. X. (2012). System dynamics simulation model for assessing socio-economic impacts of different levels of environmental flow allocation in the Weihe River Basin, China.  European Journal of Operational Research , 221(1): 248-262.

     https://doi.org/10.1016/j.ejor.2012.03.014

173. Yu C. Q., Cheng X. T., Hall J., Evans E. P., Wang Y. Y., Hu C. W., Wu H. Y.,  Wicks J., Scott M., Sun H. T., Wang J., Ren M. L., and Xu Z. X. (2012). A GIS-supported impact assessment of the hierarchical flood-defense systems on the plain areas of the Taihu Basin, China.  International Journal of Geographical Information Science , 26(4): 643-665.

     https://doi.org/10.1080/13658816.2011.609486

174. Zhao F. F., Xu Z. X., and Zhang L. (2012). Changes in streamflow regime following vegetation changes from paired catchments. Hydrol. Process. , 26(10): 1561-1573.

     https://doi.org/10.1002/hyp.8266

175. Zuo D. P., Xu Z. X., Yang H., and Liu X. C. (2012). Spatiotemporal variations and abrupt changes of potential evapotranspiration and its sensitivity to key meteorological variables in the Wei River basin, China.  Hydrol. Process ., 26(8): 1149-1160.

     https://doi.org/10.1002/hyp.8206

     2011年

176. Cheng, L., Xu, Z. X., Wang, D. B., and Cai, X. M. (2011). Assessing interannual variability of evapotranspiration at the catchment scale using satellite-based evapotranspiration data sets,  Water Resour. Res. , 47, W09509, doi:10.1029/ 2011WR010636.

     https://doi.org/10.1029/2011WR010636

177. Wang G. Q., and Xu Z. X. (2011). Assessment on the function of reservoirs for flood control during typhoon seasons based on a distributed hydrological model.  Hydrol. Process. 25(16): 2506-2517.

     https://doi.org/10.1002/hyp.8023

178. Li Z. L., Xu Z. X., and Li Z. J. (2011). Performance of WASMOD and SWAT on hydrological simulation in Yingluoxia watershed in northwest of China.  Hydrol. Process . 25(13): 2001-2008.

     https://doi.org/10.1002/hyp.7944

179. Liu L., Xu Z. X., and Huang J. X. (2011). Long-term trend of major climate variables in the Taihu basin during the last 53 years.  Proceedings of IWRM2010: Hydrological Cycle and Water Resources Sustainability in Changing Environments . Nanjing, China, November 2010.  IAHS Publ.  350: 18-27.

180. Li L. T., Xu Z. X., Peng D. Z., and Cheng L. (2011). Trend of precipitation in China and its linkage with El Niño-Southern Oscillation (ENSO).  Proceedings of IWRM2010: Hydrological Cycle and Water Resources Sustainability in Changing Environments . Nanjing, China, November 2010. IAHS Publ.  350: 122-129.

181. Liu, X. C., Xu, Z. X., and Yu, R. H. (2011). Trend of climate variability in China during the past decades.  Climatic Change 109(3): 503-516.

     https://doi.org/10.1007/ s10584-011-0097-6

182. Wang Q., Xu Z. X., Jiang X., and Gao J. X. (2011). Effect of Fe²⁺ and Fe³⁺ on the growth of microcystis aeruginosa, scenedesmus quadricauda and cyclotella Sp.,  Advanced Materials Research , 183-185: 510-515.

     https://doi.org/10.4028/www.scientific.net /AMR.183-185.510

183. Zhan C. S., Xu Z. X., Ye A. Z., and Su H. B. (2011). LUCC and its impact on run-off yield in the Bai River catchment — Upstream of the Miyun Reservoir basin.  Journal of Plant Ecology , 4(1-2): 61–66.

     https://doi.org/10.1093/jpe/rtr003

184. Wu, G. Z., and Xu, Z. X. (2011), Prediction of algal blooming using EFDC model: Case study in the Daoxiang Lake.  Ecol. Model. , 222: 1245–1252.

     https://doi.org/10.1016/j.ecolmodel. 2010.12.021

185. Mulligan, M., Fisher, M., Sharma, B., Xu, Z. X., Ringlere, C., Mahé, G. Jarvis, A., Ramírez, J., Clanet, J.-C., Ogilvie, A., and Ahmad, M-u-D. (2011). The nature and impact of climate change in the Challenge Program on Water and Food (CPWF) basins.  Water Intl., 36(1): 96–124.

     https://doi.org/10.1080/02508060.2011.543408

186. Liu Z. F., Xu Z. X., Charles S. P, Fu G. B., and Liu L. (2011). Evaluation of two statistical downscaling models for daily precipitation over an arid basin in China.  Int. J. Climatol. 31: 2006–2020.

     https://doi.org/10.1002/joc.2211

     2010年

187. Ringler C., Cai X. M., Wang J. X., Ahmed A., Xue Y. P., Xu Z. X., Yang E. T., Zhao J. S., Zhu T. J., Cheng L., Fu Y. F., Fu X. F., Gu X. W., and You L. Z. (2010). Yellow River basin: living with scarcity.  Water International , 35(5): 681-701.

     https://doi.org/10.1080/ 02508060.2010.509857

188. Cai X. T., Su B. L., and Xu Z. X. (2010). Hydrological modeling for the Zhangweinan River basin with intensive human activities. Hydrological Modelling and Integrated Water Resources Management in Ungauged Mountainous Watersheds (eds. Xu, W. L., Ao T. Q., and Zhang X. H.):  IAHS Pub. No.335: 97-104.

189. Li Z. L., Shao Q. X., Xu Z. X., and Xu C. Y. (2010). Estimating parameter uncertainty in hydrological models using the bootstrap method. Hydrological Modelling and Integrated Water Resources Management in Ungauged Mountainous Watersheds (eds. Xu, W. L., Ao T. Q., and Zhang X. H.):  IAHS Pub . No.35: 105-110.

190. Zhang Z. G., Shao Y. S., and Xu Z. X. (2010). Prediction of urban water demand on the basis of Engel’s coefficient and Hoffmann index: Case studies in Beijing and Jinan, China.  Water Science and Technology , 62(2): 410-418.

     https://doi.org/10.2166/wst.2010.290

191. Song, J. X., Xu Z. X., Hui, Y. H., Li H. E., and Li Q. (2010). Instream flow requirements for sediment transport in the lower Weihe River.  Hydrol. Process . 24: 3547–3557.

     https://doi.org/10.1002/hyp.7780

192. Li, Z. L., Shao, Q. X., Xu Z. X., and Cai, X. T. (2010). Analysis of parameter uncertainty in semi-distributed hydrological models using bootstrap method: A case study of SWAT model applied to Yingluoxia watershed in northwest China.  Journal of Hydrology  385: 76–83 .

     https://doi.org/10.1016/j.jhydrol.2010.01.025

193. Zhao F. F., Zhang, L., Xu, Z. X., and Scott, D. (2010). Evaluation of methods for estimating the effects of vegetation change and climate variability on streamflow.  Water Resour. Res. 46, W03505.

     https://doi.org/10.1029/2009WR007702, 2010

194. Shao, Q. X., Li, Z. L., and Xu, Z. X. (2010). Trend detection in hydrological time series by segment regression with application to Shiyang River Basin.  Stoch. Environ. Res. Risk Assess. , 24:221–233.

     https://doi.org/10.1007/s00477-009-0312-4

195. Peng D. Z., and Xu, Z. X. (2010). Simulating the impact of climate change on streamflow in the Tarim River basin by using a modified semi-distributed monthly water balance model.  Hydrol. Process . 24, 209–216.

     https://doi.org/10.1002/hyp.7485

196. Liu, Z. F., Xu, Z. X., Huang, J. X., Charles, S. P., and Fu, G. B. (2010). Impacts of climate change on hydrological processes in the headwater catchment of the Tarim River basin, China.  Hydrol. Process. 24, 196–208.

     https://doi.org/10.1002/hyp.7493

197. Liu, C. M., Chen, Y. N., and Xu, Z. X. (2010). Eco-hydrology and sustainable development in the arid regions of China.  Hydrol. Process. 24, 127–128.

     https://doi.org/10.1002/hyp.7481

198. Xu, Z. X., Liu Z. F., Fu, G. B., and Chen Y. N. (2010). Trends of major hydroclimatic variables in the Tarim River basin during the past 50 years. Journal of Arid Environments , 74(2): 256-267.

     https://doi.org/10.1016/j.jaridenv.2009.08.014

199. 2009年

200. Liu, L., Xu, Z. X., and Huang, J. X. (2009). Impact of climate change on streamflow in the Xitiaoxi catchment, Taihu Lake basin.  Wuhan University Journal of Natural Sciences , 14(6): 525-531.

     https://doi.org/10.1007/s11859-009-0612-z

201. Liu, X. C., Xu, Z. X., and Liu, B. (2009). Spatio-temporal characteristics of standardized precipitation index in the Taihu basin during 1951–2000.  Wuhan University Journal of Natural Sciences , 14(6): 518-524.

     https://doi.org/10.1007/s11859 -009-0611-0

202. Zhan, C. S., Xu, Z. X., Wu, Y. D., and Xue, M. J. (2009). LUCC and its impact on runoff and soil erosion in Chao River catchment of Miyun Reservoir basin.  Journal of Sichuan University ( Engineering Science Edition ), 41(2): 148-153.

203. Xu, Z. X., Pang, J. P., Liu, C. M., and Li, J. Y. (2009). Assessment of runoff and sediment yield in the Miyun Reservoir catchment by using SWAT model.  Hydrol. Process . 23, 3619–3630.

     https://doi.org/10.1002/hyp.7475

204. Li, Z. L., Xu, Z. X., Shao, Q. X., and Yang, J. (2009). Parameter estimation and uncertainty analysis of SWAT model for upper reaches of the Heihe River basin.  Hydrol. Process . 23, 2744–2753.

     https://doi.org/10.1002/hyp.7371

205. Zhao, F. F., Xu, Z. X., Zhang, L., and Zuo, D. P. (2009). Streamflow response to climate variability and human activities in the upper catchment of the Yellow River Basin.  Sci. China Ser.  E-Tech. Sci. 52(11): 3249-3256.

     https://doi.org/10.1007/s11431-009- 0354-3

206. Zhang, Z. G., and Xu, Z. X. (2009). Rough set method to identify key factors affecting precipitation in Lhasa.  Stochastic Environmental Research and Risk Assessment , 23(8): 1181-1186.

     https://doi.org/10.1007/s00477-008-0291-x

207. Song, J. X., Chen, X. H., Cheng, C., Wang, D. M., Lackey, S., and Xu, Z. X. (2009). Feasibility of grain-size analysis methods for determination of vertical hydraulic conductivity of streambeds.  J. Hydrol ., 375, 428–437.

     https://doi.org/10.1016/j.jhydrol. 2009.06.043

208. Xu, Z. X., Zhao, F. F., and Li, J. Y. (2009). Response of streamflow to climate change in headwater catchment of the Yellow River basin. Quatern. Intl. 208(1-2): 62-75.

     https://doi.org/10.1016/j.quaint.2008.09.001

     2008年

209. Xu, Z. X., Li, J. Y., and Li, Z. L. (2008). Long-term trend analysis for annual runoff in the Shiyang River basin. In (eds.: Xia, J. and Liu, S. X.):  Water Security to Climate Change and Human Activities in East Asia and Pacific Region . China Meteorological Press, Beijing, 37-45.

210. Zhao, F. F., Xu, Z. X., and Huang, J. X. (2008). Impact of climate change on the streamflow in the headwater catchemnet of the Yellow River basin. In (eds.: Yang, D. W., Yian, F. Q., Tang, L. H., and Liu, Z. Y):  Hydrological Research in China: Process Studies, Modelling Approaches and Applications ,  IAHS publ. no. 322: 252-259.

211. Li, Z. L., Xu, Z. X., Li, J. Y., and Li, Z. J. (2008). Shift trend and step changes for runoff time series in the Shiyang River basin, Northwest China.  Hydrol. Process . 22, 4639–4646.

     https://doi.org/10.1002/hyp.7127

212. Zhao, F. F., Xu, Z. X., Huang, J. X., and Li, J. Y. (2008). Monotonic trend and abrupt changes for major climate variables in headwater catchment of the Yellow River basin.  Hydrol. Process. 22, 4587–4599.

     https://doi.org/10.1002/hyp.7063

213. Xu, Z. X., Gong, T. L., and Li, J. Y. (2008). Decadal trend of climate in the Tibetan Plateau – regional temperature and precipitation.  Hydrol. Process. 22(16): 3056-3065.

     https://doi.org/10.1002/hyp.6892

     2007年

214. Liu, Z. F., Xu, Z. X., and Liu, L. L. (2007). Statistical downscaling model and its application in the Tarim River basin.  Advances in Earth Science , 22(Suppl.): 194-199.

215. Li, Z. L., Xu, Z. X., Wu, Y. D., and Shi, X. K. (2007). Trend analysis for major climatic variables and runoff in the Shiyang River basin in Northwest China.  Advances in Earth Science , 22(Suppl.): 233-242.

216. Zhan, C. S., Chen, Z., Xia, J., Li, Z. L., and Xu, Z. X. (2007). Remote sensing estimation of land surface evapotranspiration of typical river basins in China. In (eds.: Owe, M., and Neale, C.):  Remote Sensing for Environmental Monitoring and Change Detection ,  IAHS publ. no. 316: 220-227.

217. Xu, Z. X., Gong, T. L., and Liu, C. M. (2007). Detection of decadal trend for the precipitation in the Tibetan Plateau, In (eds.: Ren L. R.):  Methodology in Hydrology ,  IAHS publ . no. 311: 271-276.

218. Zhao, F. F., Xu, Z. X., and Huang, J. X. (2007). Long-term trend and abrupt change for major climate variables in the upper Yellow River basin.  Acta Meteorologica Sinica , 21(2): 204-214.

219. Xu, Z. X., Li, J. Y., and Liu, C. M. (2007). Long-term trend analysis for major climate variables in the Yellow River basin.  Hydrol. Process. 21(14): 1935-1948.

     https://doi.org/10.1002/hyp.6405

220. Xu, Z. X., Takeuchi, K., Ishidaira, H., and Li, J. Y. (2007). Long-term trend of precipitation in China and its association with the El Niño-Southern Oscillation (ENSO).  Hydrol. Process. 21(1): 61-71.

     https://doi.org/10.1002/hyp.6180

221. Song, J. X., Xu, Z. X., Liu, C. M., and Li, H. E. (2007). Ecological and environmental instream flow requirements for the Wei River — the largest tributary of the Yellow River,  Hydrol. Process. 21(8), 1066-1073.

     https://doi.org/10.1002/hyp.6287

     2006年及以前

222. Chen, Y. N, Takeuchi, K., Xu, C. C., Chen, Y. P., and Xu, Z. X. (2006). Regional climate change and its effects on river runoff in the Tarim Basin, China.  Hydrol. Process ., 20(10), 2207-2216.

     https://doi.org/10.1002/hyp.6200

223. Chen, Y. N., and Xu, Z. X. (2005). Plausible impact of global climate change on water resources in the Tarim River basin.  Science in China Series D – Earth Sciences , 48(1): 65-73.

     https://doi.org/10.1360/04yd0539

224. Xu, Z. X., Takeuchi, K., Ishidaira, H., Liu, C. M. (2005). An overview on water resources in the Yellow River basin.  Water Resources Journal , 217, 1-30 (Reprinted with permission of Water International).

     https://doi.org/10.1080/02508060508691863

225. Xu, Z. X., Takeuchi, K., Ishidaira, H., and Li, J. (2005). Long-term trend analysis for precipitation in Asian Pacific FRIEND river basins.  Hydrol. Process., 19(18), 3517-3532.

     https://doi.org/10.1002/hyp.5846

226. Xu, Z. X., Takeuchi, K., Ishidaira, H., Liu, C. M. (2005). An overview on water resources in the Yellow River basin.  Water International , 30(2), 225-238.

     https://doi.org/10.1080/02508060508691863

227. Xu, Z. X., Chen, Y. N., and Li, J. Y. (2004). Impact of climate change on water resources in the Tarim River basin.  Water Resour. Mgmt. , 18(5), 439-458.

     https://doi.org/10.1023/B:WARM.0000049142.95583.98

228. Xu, Z. X., Liu, C. M., Ishidaira, H., and Takeuchi, K. (2004). Spatially distributed snowmelt estimation and GIS application in Wei River basin. In (eds.: Chen Y. B., Takara, K., Cluckie, I., and Smedt, F. H. D.):  GIS and Remote Sensing in Hydrology, Water Resources and Environment ,  IAHS publ. no. 289, 114-121.

229. Xu, Z. X., Takeuchi, K., and Ishidaira, H. (2004): Correlation between El Niño/Southern Oscillation (ENSO) and precipitation in Southeast Asia and the Pacific region.  Hydrol. Process . 18(1): 107-123.

     https://doi.org/10.1002/hyp.1315

230. Xu, Z. X., Takeuchi, K., Ishidaira, H., and Liu, C. M. (2003). A distributed model for estimating erosion and deposition of sediment in the Yellow River basin. In (eds: Boer, D., Froehlich, W., Mizuyama, T. and Pietroniro, A.):  Erosion Prediction in Ungauged Basins: Integrating Methods and Techniques ,  IAHS Publ. no.279: 93-100.

231. Ishidaira, H., Takeuchi, K., Xu, Z. X., Ao, T. Q., Magome, J., and Kudo, M. (2003). Effect of spatial and temporal resolution of precipitation data on the accuracy of the long-term runoff simulation. In (eds.: Tachikawa, Y., Vieux, B. E., Georgakakos, K. P. and Nakakita, E.) : Weather radar Information and Distributed Hydrological Modelling ,  IAHS Publ . no. 282: 186-193.

232. Xu, Z. X., Takeuchi, K., and Ishidaira, H. (2003): Monotonic trend and step changes in Japanese precipitation.  J. Hydrol ., 279(1-4): 144-150.

     https://doi.org/10.1016/S0022-1694(03)00178-1

233. Xu, Z. X., and Li., J. Y. (2003). A distributed approach for estimating catchment evapotranspiration: comparison of the combination equation and the complementary relationship approaches.  Hydrol. Process ., 17(8): 1509-1523.

     https://doi.org/10.1002/hyp.1196

234. Xu, Z. X., Schumann, A., and Li, J. Y. (2003). Markov cross-correlation pulse model for multisite daily streamflow generation,  Adv. Water Resour. , 26(3): 325-335.

     https://doi.org/10.1016/S0309-1708(02)00172-0

235. Xu, Z. X., and Li, J. Y. (2003): Estimating basin evapotranspiration using distributed hydrologic model.  J. Hydrol. Engrg ., ASCE, 8(2): 74-80.

     https://doi.org/10.1061/(ASCE)1084-0699(2003)8:2(74)

236. Xu, Z. X., Takeuchi, K., and Ishidaira, H. (2002): Long-term trends of annual temperature and precipitation time series in Japan.  J. Hydrosci. and Hydr. Engrg ., 20(2): 11-26.

237. Xu, Z. X., Takeuchi, K., Ishidaira, H., and Zhang, X. W. (2002). Sustainability analysis for Yellow River water resources using the system dynamics approach.  Water Resour. Mgmt., Vol. 16(3): 239-261.

     https://doi.org/10.1023/A:1020206826669

238. Xu, Z. X., Schultz, G. A., and Schumann, A. (2002). A conceptually based stochastic point process model for daily streamflow generation,  Hydrol. Process. , 16(15): 3003-3017.

     https://doi.org/10.1002/hyp.1085

239. Xu, Z. X., and Li, J. Y. (2002). Short-term inflow forecasting using artificial neural network (ANN) model,  Hydrol. Process. , 16(12): 2423-2439.

     https://doi.org/10.1002/hyp.1013

240. Xu, Z. X., Ito, K., Schultz, G. A., and Li, J. Y. (2001). Integrated hydrologic modeling and GIS in water resources management,  J. Comp. in Civ. Engrg ., ASCE, 15(3): 217-223.

     https://doi.org/10.1061/(ASCE)0887-3801(2001)15:3(217)

241. Ito, K., Xu, Z. X., Kojiri, T., Jinno, K., and Kawamura, A. (2001). Decision support system for surface water management in river basins,  J. Water Resour. Plng. and Mgmt. , ASCE, 127(4): 272-276.

     https://doi.org/10.1061/(ASCE)0733-9496(2001)127:4(272)

242. Xu, Z. X., Schumann, A., and Carsten, B. (2001). Markov autocorrelation pulse model for two-sites daily streamflow,  J. Hydrol. Engrg. , ASCE, 6(3): 189-195.

     https://doi.org/10.1061/(ASCE)1084-0699(2001)6:3(189)

243. Xu, Z. X., Li, J. Y., and Ito, K. (2001). Development of the evaporation component for the physically-based distributed Tank model. In: (eds. Dolman, H., Pomeroy, J., Oki, T. and Hall, A.)  Soil-Vegetation-Atmosphere Transfer Schemes and Large-Scale Hydrological Models , IAHS Publ. no. 270: 59-62.

244. Xu, Z. X., Schumann, A., Carsten, B., Ito, K., and Li, J. Y. (2001). Chain-dependent Markov correlation pulse model for daily streamflow,  Adv. Water Resour., 24(5): 551-564.

     https://doi.org/10.1016/S0309-1708(00)00052-X

245. Xu, Z. X., Ito, K., and Li, J. Y. (2000). Risk estimation for flood and drought: case studies, In (ed. Marino, M. A. and Simonovic, S. P.):  Integrated Water Resources Management , IAHS Publ. no. 272: 333-339.

246. Xu, Z. X., Li, J. Y., and Ito, K. (1998). Clustering stochastic point process model for flood risk analysis,  Stoch. Hydrol. Hydraul ., 12(1): 53-64.

     https://doi.org/10.1007/s004770050009

247. Xu, Z. X., Jinno, K., Kawamura, A., Takesaki, S., and Ito, K. (1998). Performance risk analysis for Fukuoka water supply system,  Water Resour. Mgmt ., 12(1): 13-30.

     https://doi.org/10.1023/A:1007951806144

248. Xu, Z. X., Ito, K., Jinno, K., and Kojiri, T. (1998). Development of a decision support system for integrated water management in river basins. In (eds. Pobil, A. P., Mira, J., and Ali, M.),  Lecture Notes in Artificial Intelligence: Tasks and Methods in Applied Artificial Intelligence , Springer Press, 678-686.

     https://doi.org/10.1007/3-540-64574-8_454

249. Xu, Z. X., Ito, K., Liao, S., and Wang, L. (1997). Incorporating inflow uncertainty into risk assessment for reservoir operation,  Stoch. Hydrol. Hydraul ., 11(5): 433-448.

     https://doi.org/10.1007/BF02427928

250. Xu, Z. X., Ito, K., Hiruma, T., Akiba, T., Kawamura, A., and Jinno, K. (1996). Transient analysis for a pipe network, In (eds. Chwang, A. T., Lee, J. H. W., and Leung, D. Y. C.):  Hydrodynamics: Theory and Applications , Balkema Rotterdam Press, 1205-1210.

251. Jinno, K., Xu, Z. X., Kawamura, A., and Tajiri, K. (1995). Risk assessment of water supply system during drought,  Water Resour. Devel ., 11(2): 185-204.

     https://doi.org/10.1080/07900629550042399

252. Xu, Z. X. (1993). Homogeneous stochastic point process model for flood risk analysis, In (eds. Kundzewicz, Z. W., Rosbjerg, D., Simonovic, S. P. and Takeuchi, K.):  Extreme Hydrological Events: Precipitation, Flood and Drought ,  IAHS publ.  No. 213: 267-275.