1990/07-1993/03: Lanzhou Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Assistant Professor;

1992/05-1992/12: Nagaoka Institute of Snow & Ice Disaster Prevention and Experimental studies, Visiting Scholar with financial support of Japanese Science & Technology Agency (STA Fellowship)；

1996/04-1997/03: Institute of Atmospheric-Hydrospheric Sciences, Graduate School of Sciences, Nagoya University, Japan. Special Researcher；

2000/04-2000/10: Institute of Atmospheric-Hydrospheric Sciences, Graduate School of Sciences, Nagoya University, Japan. Researcher；

2000/11-2006/01: International Institute of Earth System Sciences (ESSI), Nanjing University. Professor, Ph. D Supervisor, Deputy Director of ESSI, Nanjing University；

2006/02-2009/06：The Geo-science and Engineering College, Nanjing University. Professor, Ph. D supervisor；

2009/07-2012/06：Center for Water Science Studies, Nanjing University. Professor, Ph. D supervisor；

During which he was employed conjecturally as full professor：

2005/09-2009/07: Institute of Atmospheric Physics, Chinese Academy of Sciences. Promoted as awardee of “100 Talent Professors Project” of Chinese Academy of Sciences (CAS), Professor, Ph. D supervisor；

2012/07-2020/02: Institute of Remote Sensing & Digital Earth, Chinese Academy of Sciences. Professor/Ph. D supervisor, Vice director of Digital Agriculture and Global Disaster Studies, director of Global Disaster Studies, Vice Director of CAS-TWAS Centre of Excellence on Space Technology for Disaster Mitigation

Selected Refereed Journal Articles (* marked author is the corresponding author)

2020 Annual Publications：

1. H. R. Gao, Z. J. Zhang, W. C. Zhang*, H. Chen, M. J. Xi，2021. Downscaling of Soil Freeze/Thaw Status Retrieved Based on Passive Microwave Spectrum Analysis. Transactions on Geoscience and Remote Sensing. doi: 10.1109/TGRS.2021.3051683   【SCI】

2. Shilun Zhou and Wanchang Zhang*, 2020. Impacts of climate and land use/cover changes on hydrological processes over last decades in the Amur River Basin. Water 2020, 12, 76; doi:10.3390/w12010076.    【SCI】

3. Arfan Arshad, Zhijie Zhang, Wanchang Zhang* and Adil Dilawar. 2020. Mapping Favorable Groundwater Potential Recharge Zones in Agro Urban Region of Pakistan, Using GIS-Based Analytical Hierarchical Process (AHP) and Probability Frequency Ratio Model. Geosciences Frontier. https://doi.org/10.1016/j.gsf. 2019.12.013    【SCI】

4. Muhammad Salam, Muhammad Jehanzeb Masud Cheema*, Wanchang Zhang, Saddam Hussain, Azeem Khan, Muhammad Bilal, Arfan Arshad, Sikandar Ali, Muhammad Awais Zaman, 2020. Groundwater Storage Change Estimation Using Grace Satellite Data in Indus Basin. Big Data in Water Resources Engineering, 1(1): 13-18. DOI: 10.26480/bdwre.01.2020.13.18     【SCI】

5. Rahman, M. M., Zhang W. C*., 2019. Regional Distribution of Net Radiation Flux of Surface Energy Balance over a Versatile Ecohydrological Surface in Northwest China. Journal of Meteorological Research, ACTA-E-2020-0081.    【SCI】

6. Yi, Y., Zhang, W., 2020. A New Deep-Learning-Based Approach for Earthquake-Triggered Landslide Detection from Single-Temporal RapidEye Satellite Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 6166-6176, DOI: 10.1109/JSTARS.2020.3028855.    【SCI】

7. Lu Xiaolin, Zhang Wanchang*, Wang Shuhang, Zhang Bo, Niu Quanfu, Liu Jinping, Chen Hao, Gao Huiran, 2020. Spatial-temporal variability of snow cover over the Amur River Basin inferred from MODIS daily snow products in recent decades. Sciences in Cold and Arid Regions, 12(6): 409−420. DOI: 10.3724/SP.J.1226.2020.00409.    【SCI】    

8. 王 玉，张万昌*，李旺平，陈 豪，高会然，党星海，2020. 耦合最大熵模型的离散粒子群水体提取方法研究[J].《河南科学》第38卷45期，PP: 538-545       【CSCD】

9. 陆小琳，张万昌*，牛全福，刘金平，高会然，陈豪，2020. 黑龙江流域积雪的时空动态变化及其与气候因子的关系[J]. 《中国科学院大学学报》, 2020, 37(02): xx-yy 【CSCD】

10. 李麒崙,张万昌*,易亚宁, 2020. 地震滑坡信息提取方法研究—以2017年九寨沟地震为例 [J]. 《中国科学院大学学报》, 2020, 37(01): 93-102  【CSCD】

11. Gao, H. R., Zhang, W. C.*, 2020. Coupling numerical simulation with remotely sensed information for the study of frozen soil dynamics. Sciences in Cold and Arid Regions, 12(6): 395−408. DOI: 10.3724/SP.J.1226.2020.00395.  【SCI】

12. Huiran Gao; Ning Nie, Wanchang Zhang* and Hao Chen; 2020. Monitoring the spatial distribution and changes in permafrost with passive microwave remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing 170（2020）142-155.  http://doi.org/10.1016/j.isprsjprs.2020.10.011      【SCI, Q1, IF 7.319】

13. Zhang, T., Zhang, W. C.*，Yang, R, Z., Liu Y. M. and Jafari Shalamzari M. 2020. CO2 Capture and Storage (CCS) monitoring based on remote sensing method: A review. Journal of Cleaner Production, DOI: 10.1016/j.jclepro.2020.124409.【SCI】

14. Yaning Yi, Zhijie Zhang, Wanchang Zhang*, Huihui Jia and Jianqiang Zhang, 2020. Landslide Susceptibility Mapping Using Convolutional Neural Network: A Case Study in Jiuzhaigou Region. Catena 195（2020）104851, https://doi.org/10.1016/j.catena.2020. 104851.         【SCI, Q1, IF 4.333】

15. Ning Nie, Wanchang Zhang*, Min Liu, Hao Chen and Dengzhong Zhao, 2020. Separating the impacts of climate variability, land-use change and large reservoir operations on streamflow in the Yangtze River basin, China, using a hydrological modeling approach. International Journal of Digital Earth. DOI: 10.1080/17538974.2020.1812740.  【SCI】    

16. MD Masudur Rahman, Wanchang Zhang*, and Arfan Arshad., 2020. Regional Distribution of Net Radiation Flux of Surface Energy Balance over Different Ecohydrological Land Surfaces. Atmosphere 2020, 11, 1229; doi:10.3390/atmos11111229. 【SCI】

17. Arfan Arshad, Wanchang Zhang*, Shuhang Wang and Bo Zhang, 2021. High Spatial-temporal Resolution Precipitation Estimates with an Improved Downscaling Approach Based on Multi-type Predictor Variables for Upper Indus Basin (UIB). Science of Total Environment.    (Accepted in Publication)         【SCI】

18. Shilun Zhou, Wanchang Zhang*, and Xiaolin Lu, 2021. Spatial-temporal vegetation dynamics and their relationships with climatic, anthropogenic, and hydrological factors in the Amur River Basin. Remote Sensing. (Accepted in Publication)   【SCI】

19. Yimo Liu, Wanchang Zhang*, Xiaosong Duo, Xiaopeng Zhang, and Yaning Yi, 2020. Discretization and Feature Selection Based on Geo-dector in Landslides Susceptibility Mapping. 41th Asian Conference on Remote Sensing, ACRS 2020, November 9-11, 2020, Deqing, China.  【EI】

2019 Annual Publications：

20. Rahman M M, Zhang W. C.*, 2019. Validation of Satellite Derived Sensible Heat Flux for TERRA / MODIS Images over Three Different Landscapes Using Large Aperture Scintillometer and Eddy Covariance Measurements. IEEE J Sel Top Appl Earth Obs Remote Sens. 2019; 12 (9): 1–11. doi: 10.1109/JSTARS.2019.2928880, https://ieeexplore.ieee.org/document/8786926    【SCI】

21. Rahman M M, Zhang W. C.*, Wang K. 2019. Assessment on surface energy imbalance and energy partitioning using ground and satellite data over a semi-arid agricultural region in north China. Agric Water Manag. 2019; 213:245–59. Available from: https://doi.org/10.1016/j.agwat.2018.10.032   【SCI】

22. Rahman M M, Zhang W. C.*, 2019. Review on estimation methods of the Earth’ s surface energy balance components from ground and satellite measurements. J Earth Syst Sci. 2019; 128(84): 1–22. Available from: https://doi.org/10.1007/s12040-019-1098-5,    【SCI】

23. Yaning Yi, Wanchang Zhang*, Zhijie Zhang and Chi Xu. Comparison of different learning models for landslide susceptibility mapping. 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 28-Augest 2, 2019, Yokohama, Japan, pp. 9318-9321, doi: 10.1109/IGARSS.2019.8898208.     【EI】

24. Xu Chi, Wanchang Zhang*, Yaning Yi and Qi Xu, 2019. Landslide susceptibility mapping using logistic regression model based on information value for the region along China-Thailand Railway from Saraburi to Sikhio, Thailand. 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 28-Augest, 2019, Yokohama, Japan, pp. 9650-9653, doi: 10.1109/IGARSS.2019.8900041.       【EI】

25. Jafari Shalamzari, M., Zhang*, W. C., Gholami, A., Zhang, Z. J., 2019. Runoff harvesting site suitability analysis for wildlife in Kavir National Park of Iran. Water 2019, 11, 1944; doi:10.3390/w11091944   【SCI】

26. Hao Chen and Wanchang Zhang* "Variations of simulated water use efficiency over 2000-2016 and its driving forces in Northeast China", Proc. SPIE 11149, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXI, 1114914 (21 October 2019); https://doi.org/10.1117/12.2533127       【EI】

27. Arfan Arshad, Zhijie Zhang*, Wanchang Zhang*, Ishfaq Gujree, 2019. Long-Term Perspective Changes in Crop Irrigation Requirement Caused by Climate and Agriculture Land Use Changes in Rechna Doab, Pakistan. Water, 11, 1567. The early access is available from: https://www.mdpi.com/2073-4441/11/8/1567.   【SCI】

28. Arshad A., Zhang W. C*., 2019. Monitoring the Impacts of Spatio-Temporal Land-Use Changes on the Regional Climate of City Faisalabad, Pakistan. Annals of GIS. 2019; 25: 1, 57-70, DOI:10.1080/19475683.2018.1543205. Available from: https://doi.org/10.1080/19475683.2018.1543205.   【SCIE】

29. Yi Y. N., Zhang Z. J., Zhang W. C.*, Qi Xu, Deng C. and Li Q. L., 2019. GIS-based earthquake-triggered landslide susceptibility mapping with an integrated weighted index model in Jiuzhaigou region of Sichuan Province, China. Nat. Hazards Earth Syst. Sci., 19, 1973–1988, https://doi.org/10.5194/nhess-19-1973-2019   【SCI】

30. Y. N. Yi, Z. J. Zhang, W. C. Zhang*, C. R. Zhang, W. D. Li and T. Zhao, 2019. Semantic Segmentation of Urban Buildings from VHR Remote Sensing Imagery Using a Deep Convolutional Neural Network. Remote Sensing, 2019, 11, 1774; doi:10.3390/rs11151774   【SCI】

31. Huiran Gao, Wanchang Zhang* and Hao Chen, 2019. Remote Sensing Monitoring and Numerical Simulation Coupling Studies on Frozen Soil in Cold Regions. The 3rd International Conference on Energy, Ecology and Environment (ICEEE 2019). DOI: 10.12783/dteees/iceee2019/31791.   【EI】

32. Shilun Zhou and Wanchang Zhang*, 2019. Spatial-temporal Variations in Vegetation and their Driving Factors in the Amur River Basin. The 3rd International Conference on Energy, Ecology and Environment (ICEEE 2019). doi: 10.12783/dteees/iceee2019/31796.    【EI】

33. Chen H, Zhang W*, Nie N, et al., 2019. Long-term groundwater storage variations estimated in the Songhua River Basin by using GRACE products, land surface models, and in-situ observations. Science of the Total Environment,     2019/649/372-387. doi:10.1016/j.scitotenv.2018.08.352.【SCI】

34. Chen H, Zhang W*, Jafari M., 2019. Remote detection of human-induced evapotranspiration in a regional system experience increased anthropogenic demands and extreme climatic variability. International Journal of Remote Sensing, 2019，40: 1887-1908. doi：10.1080/01431161.2018.1523590.【SCI】

35. N. Nie, W. C. Zhang*, H.D. Guo, N. Ishwaran, 2018. A global hydrological drought index dataset based on Gravity Recovery and Climate Experiment (GRACE) data, Water Resource Management, 32(4):1275-1290. DOI: 10.1007/s11269-017-1869-1 【SCI】

2018 Annual Publications：

36. J Chen, W Zhang*, 2018. A new numerical model for simulating top surface soil moisture and runoff. Engineering Computations. 35 (3), 1344-1363.   【SCI】

37. Jinping Liu, Wanchang Zhang* & Ning Nie, 2018. Spatial downscaling of TRMM precipitation data using an optimal subset regression model with NVDI and terrain factors in the Yarlung Zangbo River Basin, China. Advances in Meteorology, 2018: (13), DOI:  10.1155/2018/3491960    【SCI】

38. Jinping Liu, Wanchang Zhang*, Tie Liu, Qilun Li, 2018. Runoff dynamics and associated multi-scale responses to climate changes in the middle reach of the Yarlung Zangbo River Basin, China. Water, 2018: 10(3), 295, DOI: 10.3390/w10030295.  【SCI】

39. Liu Jinping and Zhang Wanchang*，2018. Climate change and associated multi-scale impacts on watershed discharge over the upper reach of Yarlung Zangbo River Basin, China. Advances in Meteorology.  2018, DOI:10.1155/2018/4851645.    【SCI】  

40. 刘金平, 张万昌*, 邓财等, 2018. 雅鲁藏布江流域积雪时空变化分析及对气候的响应研究. 《冰川冻土》2018, Vol. 40, Issue (4): 643-654, DOI: 10.7522/j.issn. 1000-0240.2018.0070.   【CSCD】

41. Liu Jinping and Zhang Wanchang*，2018. Spatial variability in degree-day factors in Yarlung Zangbo River Basin in China. Journal of University of Chinese Academy of Sciences, 35(5):704-711. Doi: 10.7523/j.issn.2095-6134.2018.05.018.【CSCD】

42. 李麒崙，张万昌*，易 路，刘金平，陈 豪, 2018. GPM与TRMM降水数据在中国大陆的精度评估与对比. 《水科学进展》, Vol. 29，No. 3; PP:303-313; Doi：10 14042/j cnki 32 1309 2018 03 001.  【EI】  {该文章获得期刊见刊以来前20高引用成果奖}

43. 陈豪，张万昌*, 邓财, 聂宁, 易路，2018. 面向灾害管理的自发地理信息研究及应用. 《测绘科学》, 2018, 43 (1): 59-65.  http://dx.doi.org/10.16251/j.cnki.1009- 2307.2018.01.011.   【CSCD】

44. Chen, H., Zhang, W*., Gao, H. Nie, N.2018. Climate Change and Anthropogenic Impacts on Wetland and Agriculture in the Songnen and Sanjiang Plain, Northeast China. Remote Sens. 2018, 10, 356. doi: 10.3390/rs10040646.【SCI】 

45. Lu Yi, Wanchang Zhang* and Kai Wang, 2018. Evaluation of Heavy Precipitation Simulated by the WRF Model Using 4D-Var Data Assimilation with TRMM 3B42 and GPM IMERG over the Huaihe River Basin, China. Remote Sens. 2018, 10 (4), 646; Doi:10.3390/rs10040646.  【SCI】

46. Cai Deng and Wanchang Zhang*, 2018. Spatial Distribution Pattern of Degree-day Factors of Glaciers on the Qinghai Tibetan Plateau, Environmental Monitoring and Assessment, 190:475. https://doi.org/10.1007/s10661-018-6860-7.    【SCI】

47. Khalid. M. Elhag and Wanchang Zhang*, 2018. Monitoring and Assessment of Drought Focused on Its Impact on Sorghum Yield over Sudan by Using Meteorological Drought Indices for the Period 2001–2011. Remote Sens. 2018, 10, 1231; Doi:10.3390/rs10081231.    【SCI】

48. Huiran Gao and Wanchang Zhang*, 2018. An Improved Algorithm for Discriminating Soil Freezing and Thawing by Using AMSR-E Soil Moisture Products. Remote Sens. 10, 1697; doi:10.3390/rs10111697.    【SCI】

49. Cai Deng and Wanchang Zhang*, 2018. Spatiotemporal distribution and the characteristics of the air temperature of a river source region of the Qinghai-Tibet Plateau. Environmental Monitoring and Assessment. 190: 368, https://doi.org/ 10.1007/s10661-018-6739-7.【SCI】

50. Yi Lu, Zhang Wan-Chang* and Li Xiang-Yang, 2018. Comparison of rainfall-runoff simulations driven by different precipitation data from in situ observation, remotely sensed estimation and NWP prediction over Wangjiaba watershed, China. Remote Sensing. 10(12), 1872; https://doi.org/10.3390/ rs10121872.    【SCI】

51. Masoud Jafari and Wanchang Zhang*, 2018, Assessing Water Scarcity Using the Water Poverty Index (WPI) in Golestan Province of Iran. Water 2018, 10, 1079; doi:10.3390/w10081079.    【SCI】

52. Yi Yaning, Zhang Zhijie and Zhang Wanchang*, 2018. Building segmentation of aerial images in urban areas with deep convolutional neural networks. 1st Conference of the Arabian Journal of Geoscience (CAJG), 12-15 November 2018, HAMMAMET, Tunisia. 【EI】

53. Jafari Shalamzari, M., Zhang, W. C*. 2018. Soil erosion and runoff-production under simulated rainfall in a semi-arid area of Iran. The 4th International Symposium Earth on Observation for Arid and Semi-Arid Environments, 16-19 September 2018, Xining, China.     【EI】

54. Gao, H., Zhang, W. C*. 2018. Spatially distributed heat and water coupled model for seasonal frozen soil freezing and thawing processes simulations. The 4th International Symposium on Earth Observation for Arid andSemi-Arid Environments, 16-19 September 2018, Xining, China.   【EI】

55. 潘东华, 贾慧聪*, 贺原, 惠子, 尹圆圆, 张万昌, 2018. 不同时空尺度旱灾风险评价数字平台的建设. 《灾害学》33 (1), 23-26.  【CSCD】

56. Jinping Liu, and Wanchang Zhang*, 2018. Reconstructed glacier mass balance in the past few decades with the latest GRACE and GLDAS products over the Yarlung Zangbo River Basin, China. In J. A. Sobrino (Ed.), Fifth Recent Advances in Quantitative Remote Sensing (144). Valencia, Spain: Servicio Publicacions Universitat de Valencia (ISBN: 978-84-9133-201-5).   【EI】

57. Hao Chen, and Wanchang Zhang*, 2018. Remote detection of human-induced evapotranspiration in the Songhua River Basin of China. In J. A. Sobrino (Ed.), Fifth Recent Advances in Quantitative Remote Sensing (107). Valencia, Spain: Servicio Publicacions Universitat de Valencia (ISBN: 978-84-9133-201-5).   【EI】

58. Qilun Li, Wanchang Zhang*, Ning Nie, Jinping Liu and Hao Chen, 2018. Study on the spatiotemporal variations of terrestrial water storage and its relation to precipitation and NDVI over the Tibetan Plateau during 2003-2015. In J. A. Sobrino (Ed.), Fifth Recent Advances in Quantitative Remote Sensing (123). Valencia, Spain: Servicio Publicacions Universitat de Valencia (ISBN: 978-84-9133-201-5).    【EI】

59. Yaning Yi, Wanchang Zhang*，Cai Deng, Xiangpeng Yang and Qi Xu, 2018. GIS-based Landslide Susceptibility Mapping Using an Integrated Model. In J. A. Sobrino (Ed.), Fifth Recent Advances in Quantitative Remote Sensing (449). Valencia, Spain: Servicio Publicacions Universitat de Valencia (ISBN: 978-84-9133-201-5).   【EI】

2017 Annual Publications：

60. Liu, J., Zhang*, W. & Liu, T. 2017. Monitoring recent changes in snow cover in Central Asia using improved MODIS snow-cover products. J. Arid Land, 9(5): 763-777, DOI: 10.1007/s40333-017-0103-6. https://doi.org/10.1007/ s40333-017-0103-6  【SCI】

61. Yu Su, Wanchang Zhang*, Zhijie Zhang, Wenting Su, 2017. A New Bound of Uncertainty Principle for Real Para-Vector Valued Signals. Adv. Appl. Clifford Algebras, 27(2): 1847-1856, DOI: 10.1007/s00006-016-0713-7. https://doi.org/ 10.1007/s00006-016 -0713-7.    【SCI】

62. W C Zhang*, Y M Liu and J Fang, 2017. Construction of a Distributed-network Digital Watershed Management System with B/S Techniques. IOP Conf. Series: Earth and Environmental Science, 74(2017)012005 doi :10.1088/1755-1315/74 /1/012005    【EI】

63. L. Yi and W. C. Zhang*, 2017.WRF simulation for a heavy precipitation over the Huaihe River Basin, China-an evaluation using remote sensing and ground observations, 2017 IEEE International Geoscience and Remote Sensing Symposium, July 23-28, 2017, in Texas, USA. 【EI】

64. H. Chen, W. C. Zhang*, C. Deng, N. Nie and L. Yi, 2017.Volunteered Geographic Information for Disaster Management with Application to Earthquake Disaster Databank & Sharing Platform.IOP Conference Series: Earth and Environmental Science. IOP Conference Series: Earth and Environmental Science, 2017: 012015, doi：10.1088/1755-1315/57/1/012015  【EI】

65. Liu J P, Zhang W C*. 2017. Long term spatio-temporal analyses of snow cover in Central Asia using ERA-Interim and MODIS products. IOP Conference Series: Earth and Environmental Science. IOP Publishing 2017, 57(1): 012033, DOI: 10.1088/1755-1315/57/1/012033.     【EI】

66. Zhou S L, Zhang W C*. 2017. Flood monitoring and damage assessment in Thailand using multi-temporal HJ-1A/1B and MODIS images. IOP Conference Series: Earth and Environmental Science. IOP Publishing 2017, 57(1): 012016, DOI: 10.1088/1755-1315/57/1/012016.   【EI】

67. Hao Chen, Wanchang Zhang*, 2017. Modelling spatial and temporal variability of hydrologic impacts under climate changes over the Nenjiang River Basin, China. Proc. SPIE 10421, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX, 1042106 (18 October 2017); doi: 10.1117/12.2278357; http://dx.doi.org/10.1117/12.2278357  【EI】

68. Shilun Zhou, Wanchang Zhang*, 2017. Calibration and validation of a semi-distributed hydrological model in the Amur River Basin using remote sensing data, Proc. SPIE 10421, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX, 1042104 (18 October 2017); doi: 10.1117/12.2278345; http://dx.doi.org/10.1117/12.2278357.  【EI】

69. Yaning Yi, Wanchang Zhang*, Cai Deng, Xiangpeng Yang and Qi Xu, 2017. GIS-based Landslide Susceptibility Mapping Using an Integrated Model. 5th International Symposium Recent Advances in Quantitative Remote Sensing, September 18-22, 2017, in Valencia, Spain.    【Conference Post Presentation】

70. Liu J P and Zhang W C 2017. Reconstructed glacier mass balance in the past few decades with the latest GRACE and GLDAS products over the Yarlung Zangbo River Basin, China. 5th International Symposium Recent Advances in Quantitative Remote Sensing, September 18-22, 2017, in Valencia, Spain.       【Conference Post Presentation】

71. Q. L. Li, W. C. Zhang*, N. Nie, et al., 2017. Study on the spatiotemporal variations of terrestrial water storage and its relation to precipitation and NDVI over the Tibetan Plateau during 2003-2015, 5th International Symposium Recent Advances in Quantitative Remote Sensing, September 18-22, 2017, in Valencia, Spain.  【Conference Post Presentation】

72. Donghua Pan, Huicong Jia, Wanchang Zhang and Yuanyuan Yin, 2017. Reserarch on the maize vulnerability based on field experiment. 《灾害学报》，Vol.32,2，pp150-153,180. 【CSCD】

73. L.Yi, W.C. Zhang* and C.A. Yan, 2017. Modified topographic index that incorporates the hydraulic and physical properties of soil, Hydrology Research, 48(2):370-383, DOI: 10.2166/nh.2016.119. 【SCI】

2016 Annual Publications：

74. Su Yu, Zhang Wanchang*, Su Wenting, 2016. Homogeneous approximation property for continuous shearlet transforms in higher dimensions. Journal of Inequalities and Applications. DOI: 10.1186/s13660-016-1116-y. 【SCI】

75. Huicong Jia, Donghua Pan, Jingai Wang, Wanchang Zhang,2016. Risk Mapping of Integrated Natural Disasters in China, Natural Hazards, Volume 80, Issue 3 (2016), Page 2023-2035, DOI: 10.1007/s11069-015-2057-3. 【SCI】

76. Huicong Jia, Donghua Pan, Jing Li, Wanchang Zhang, Rasul Ghulam, 2016. Risk assessment of maize drought disaster in southwest China using the Environmental Policy Integrated Climate model, Journal of Mountain Science , Volume 13, Issue 3, pp 465-475, DOI：10.1007/s11629-015-3514-x. 【SCI】

77. 陈 豪，张万昌*，邓 财，聂 宁，易 路, 2016．基于WEBGIS的地震空间减灾信息化平台建设研究 [J]. 《灾害学》，2016， 31( 4) : 139－144． Doi: 10. 3969 /j. issn. 1000－811X. 2016. 04. 024．  【CSCD】

78. N. Nie, W. C. Zhang*, Z. J. Zhang, H. D. Guo, N. Ishwaran, 2016. Reconstructed Terrestrial Water Storage Change (ΔTWS) from 1948 to 2012 over the Amazon Basin with the Latest GRACE and GLDAS Products, Water Resources Management, vol.30, pp.279-294, 2016.  DOI:10.1007/s11269-015-1161-1.     【SCI】

79. Ning Nie, Wanchang Zhang* and Cai Deng, 2016. Responses of Water Resource of the Yarlung Zangbo River Basin to Climate Changes and Glacier-Snow Fluctuations in Recent Years. IOP Conference Series: Earth and Environmental Science, 46 (1):012402. DOI: 10.1088/1755-1315/46/1/012042    【EI】

80. Zhou S L, Zhang W C*, Wang F. 2016. Spatial-temporal variations and their dynamics of the saline lakes in the Qaidam Basin over the past 40 years. IOP Conference Series: Earth and Environmental Science. IOP Publishing, 46(1): 012043, DOI:10.1088/1755-1315 /46/1/012043.

81. Chang-An Yan, Wanchang Zhang*, Zhijie Zhang, Yuanming Liu, Cai Deng, and Ning Nie. 2015. Assessment of Water Quality and Identification of Pollution Risk Regions Based on Field Observations & GIS in the Honghe River Watershed of Huaihe Basin, China. PLOS ONE. Manuscript Number：PONE-D-14-44372. DOI: 10.1371/journal.pone.0119130.  【SCI】

82. Yuanming LIU, Wanchang ZHANG*, Zhijie ZHANG, Liang ZHOU, 2015. A conceptual data model coupling with physically-based distributed hydrological models based on catchment discretization schemas. Journal of Hydrology. DOI: 10.1109/IGARSS. 2004.1369935 【SCI】 

83. Ning Nie, Wanchang Zhang*, Zhijie Zhang, Huadong Guo, Natarajan Ishwarane, 2015. Reconstructed Terrestrial Water Storage Change (ΔTWS) from 1948 to 2012 over the Amazon Basin with the Latest GRACE and GLDAS Products. Water Resources Management, 2015. WARM-D-15-00148R1. 【SCI】 

84. Ning Nie; Wanchang Zhang*; Huadong Guo; Natarajan Ishwaran. 2015. 2010-2012 drought and flood events in the Amazon Basin inferred by GRACE satellite observations. J. Appl. Remote Sens. 9 (1), 096023 (August 04, 2015); doi: 10.1117/1.JRS.9.096023. 【SCI】

85. Huicong Jia, Donghua Pan*, Wanchang Zhang, 2015. Risk Assessment of Maize Drought Disaster in Southwest China Using the EPIC Model. Journal of Mountain Science. DOI：10.1007/s11629-015-3514-x        【SCI】

86. Huicong Jia, Donghua Pan*, Wanchang Zhang, 2015. Health Assessment of Wetland Ecosystems in the Heilongjiang River Basin, China. Wetlands, DOI: 10.1007/s13157-015-0705-8   【SCI】

87. Huicong Jia, Donghua Pan, Jingai Wang, Wanchang Zhang, 2015. Risk Mapping of Integrated Natural Disasters in China. Natural Hazards, DOI: 10.1007/s11069-015-2057-3      【SCI】

88. Huicong Jia, Jingai Wang, Wanchang Zhang, 2015. Using a BP Neural Network for Rapid Assessment of Populations with Difficulties Accessing Drinking Water Because of Drought. Human and Ecological Risk Assessment.  【SCI】