• Photo by DP on July 28, 2017

    Hydrology, Water Resources, Environment Science

    水文学、水资源、环境科学

  • Principle Invesigator

    Prof. Dingzhi Peng

    彭定志 教授 博士生导师

    Education Background

    Professional Experience

  • People

    Group members

    Yu Gu (古玉)

    PhD Student (2021 ~ )

    Email to

    Yuwei Gong (龚雨薇)

    PhD Student (2023 ~ )

    Email to

    Junying Yuan (袁军营)

    PhD Student (2023 ~ )

    Email to

    瓦地海绵环境科技（北京）有限公司

    Qun Luo (罗群)

    Master Student (2022 ~ )

    Email to

    Zhenglong Fan (樊正龙)

    Master Student (2023 ~ )

    Email to

    Xiaoyu Luo (罗霄雨)

    Master (2021 ~ 2024)

    Email to

    北京市朝阳区水务局

    Keke Zhao (赵珂珂)

    PhD (2017 ~ 2023)

    Email to

    中国水利水电科学研究院（博士后）

    Haoyu Ji (嵇浩宇)

    Chenning Deng (邓陈宁)

    Yaqi Liang (梁雅琪)

    Master (2019 ~ 2022)

    Email to

    山脉科技股份有限公司

    Yu Gu (古玉)

    Chuting Fan (范楚婷)

    Master (2017 ~ 2020)

    Email to

    深圳市水务局

    Keke Zhao (赵珂珂)

    Zhongyuan Zhang (张中元)

    Jing Fang (房晶)

    Linghua Qiu (邱玲花)

    Mingyue Zhang (张明月)

    Linjuan Hu (胡林涓)

    Yang Du (杜洋)

    Master (2008 ~ 2011)

    Email to

    北京中航信柏润科技有限公司

  • Selected Research Grants

    1. Reservoir optimal operation, Beijing IWHR Technology Co., Ltd, 2023. PI.
    2. Analysis of ecological base flow in the key regions of Tongzhou District, Beijing Tongzhou District Ecological Environmental Bureau, 2022. PI.
    3. Sub Work Package 6: Decision support platform and demonstration of real-time flood dispatching in Beijing, National Key Research & Development Plan, 2017YFC1502706, 2018-2021. PI.
    4. Evolution mechanism of hydrological cycle under climate change in the Lhasa River, National Natural Science Foundation, 51779006, 2018-2021. PI.
    5. Study of climate change impact on hydrology and water resources in the Yarlung Zangbo River basin, National Natural Science Foundation, 91647202, 2017-2020. co-PI.
    6. Development of the early warning and forecasting model of torrential floods in typical areas of Beijing, China Institute of Water Resources and Hydropower Research, 2016-2018. PI.
    7. Sub Work Package 1: Analysis of climate change scenarios and response of water cycle to climate change in the Taihu basin, National Science and Technology Support Program, 2012-2015. PI.
    8. Flood emergency dispatch in the Longtan Reservior, Hydrology Bureau of Pearl River Conservancy Commission, Ministry of Water Resources, 2012-2013. PI.
    9. Scientific Research Foundation for the Returned Overseas Chinese Scholars, Ministry of Education, 2010-2011. PI.
    10. Open Fund of State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, 2009-2010. PI.
    11. Open Fund of State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering, Hohai University, 2008-2009. PI.
    12. Work Package 2: Application of the distributed hydrological model in the flood forecasting. National Key Technology Research & Development Program, 2005-2007. PI.

  • Papers in International Journals

    1. Chen G, Zuo D P*, Xu Z X, Wang G Q, Han Y N, Peng D Z, Pang B, Abbaspour K C, Yang H. 2024. Changes in water conservation and possible causes in the Yellow River Basin of China during the recent four decades. Journal of Hydrology 637, 131314. doi: 10.1016/j.jhydrol.2024.131314.
    2. Gou L F, Zhu Z F*, Liu S Y, Peng D Z, Zhang D W. 2024. Physical vulnerability of pedestrians under the joint effect of wind and floodwater and its application in urban block flooding: Effects of urban block layout, building form and building array skyline. Physics of Fluids 36(4), 047116. doi: 10.1063/5.0191951.
    3. Luo X Y, Peng D Z*, Shang W J, Gu Y, Luo Q, Zhu Z F, Pang B. 2024. Dynamic changes of net anthropogenic nitrogen/phosphorus input and its riverine export in the Beijing’s subcenter. CLEAN - Soil, Air, Water 52(3), 2300165. doi: 10.1002/clen.202300165.
    4. Deng C N, Zhang Z Q, Song X C, Peng D Z, Zhao C, Chen C, Wu Y F, Zhao Z Y, Shen Peng*, Xie M H*. 2024. Nitrogen-derived environmental behavior, economic performance, and regulation potential by human production and consumption in a mega river basin. Journal of Cleaner Production 434, 140279. doi: 10.1016/j.jclepro.2023.140279.
    5. Luo Q, Peng D Z*, Shang W J, Gu Y, Luo X Y, Zhu Z F, Pang B. 2023. Water quality analysis based on LSTM and BP optimization with a transfer learning model. Environmental Science and Pollution Research 30, 124341-124352. doi: 10.1007/s11356-023-31068-5.
    6. Li Y, Pang B*, Zheng Z Q, Chen H M, Peng D Z, Zhu Z F, Zuo D P. 2023. Evaluation of four satellite precipitation products over mainland China using spatial correlation analysis. Remote Sensing 15(7), 1823. doi: 10.3390/rs15071823. 
    7. Li Y, Pang B*, Zheng Z Q, Chen H M, Peng D Z, Zhu Z F, Zuo D P. 2023. Assessment of the urban extreme precipitation by satellite estimates over mainland China. Remote Sensing 15(7), 1805. doi: 10.3390/rs15071805.
    8. Zuo D P*, Chen G*, Wang G Q, Xu Z X, Han Y N, Peng D Z, Pang B, Abbaspour K C, 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. doi: 10.1016/j.ecolind.2023.110145.
    9. Hu X H, Zuo D P*, Yan B W, Xu Z X, Wang G Q, Peng D Z, Pang B, Yang H. 2023. Changes in rainfall and flood characteristics under nonstationary in a mountain basin of Northwest China. Journal of Hydrologic Engineering 28(5), 05023006. doi: 10.1061/JHYEFF.HEENG-5283.
    10. Zhu Z F*, Gou L F, Liu S Y, Peng D Z. 2023. Effect of urban neighborhood layout on the flood intrusion rate of residential buildings and associated risk for pedestrians. Sustainable Cities and Society 92, 104485. doi: 10.1016/j.scs.2023.104485.
    11. Zhu Z F*, Zhang Y P, Gou L F, Peng D Z, Pang B. 2023. On the physical vulnerability of pedestrians in urban flooding: Experimental study of the hydrodynamic instability of a human body model in floodwater. Urban Climate 48, 101420. doi: 10.1016/j.uclim.2023.101420.
    12. Han Y N, Zuo D P*, Xu Z X, Wang G Q, Peng D Z, 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. doi: 10.3390/rs15010117.
    13. Ji H Y, Peng D Z*, Gu Y, Luo X Y, Pang B, Zhu Z F. 2023. Snowmelt runoff in the Yarlung Zangbo River Basin and runoff change in the future. Remote Sensing 15 (1), 55. doi: 10.3390/rs15010055.
    14. Zhu Z F*, Gou L F, Peng D Z, Pang B. 2022. Quantifying the role of openings in the impact of a dam-break-induced flood on a porous building. Journal of Hydrology 614, 128596. doi: 10.1016/j.jhydrol.2022.128596.
    15. Zhao K K, Peng D Z*, Gu Y, Luo X Y, Pang B, Zhu Z F. 2022. Temperature lapse rate estimation and snowmelt runoff simulation in a high-altitude basin. Scientific Reports 12, 13638. doi: 10.1038/s41598-022-18047-5.
    16. Ji H Y, Peng D Z*, Gu Y, Liang Y Q, Luo X Y. 2022. Evaluation of multiple satellite precipitation products and their potential utilities in the Yarlung Zangbo River Basin. Scientific Reports 12, 13334. doi: 10.1038/s41598-022-17551-y.
    17. Zhao K K, Peng D Z*, Gu Y, Pang B, Zhu Z F. 2022. Daily precipitation dataset at 0.1° for the Yarlung Zangbo River basin from 2001 to 2015. Scientific Data 9, 349. doi: 10.1038/s41597-022-01471-7.
    18. Wang Y F, Ye A Z*, Peng D Z, Miao C Y, Di Z H, Gong W. 2022. Spatiotemporal variations in water conservation function of the Tibetan Plateau under climate change based on InVEST model. Journal of Hydrology: Regional Studies 41, 101064. doi: 10.1016/j.ejrh.2022.101064.
    19. Ji H Y, Peng D Z*, Fan C T, Zhao K K, Gu Y, Liang Y Q. 2022. Assessing effects of non-point source pollution emission control schemes on Beijing's sub-center with a water environment model. Urban Climate 43, 101148. doi: 10.1016/j.uclim.2022.101148.
    20. Cui L Z, Pang B*, Zhao G, Ban C G, Ren M F, Peng D Z, Zuo D P, Zhu Z F. 2022. Assessing the sensitivity of vegetation cover to climate change in the Yarlung Zangbo River Basin using machine learning algorithms. Remote Sensing 14 (7), 1556. doi: 10.3390/rs14071556.
    21. Li Y, Pang B*, Ren M F, Shi S L, Peng D Z, Zhu Z F, Zuo D P. 2022. Evaluation of performance of three satellite-derived precipitation products in capturing extreme precipitation events over Beijing, China. Remote Sensing 14 (11), 2698. doi: 10.3390/rs14112698.
    22. Gu Y, Peng D Z*, Deng C N, Zhao K K, Pang B, Zuo D P. 2022. Atmospheric-hydrological modeling for Beijing's sub-center based on WRF and SWMM. Urban Climate 41, 101066. doi: 10.1016/j.uclim.2021.101066.
    23. Gou L F, Liu Y, Zhang Y P, Zhu Z F*, Peng D Z, Dou J. 2022. Estimating the instability criterion of vehicles in urban flooding by an entropic method. Urban Climate 41, 101069. doi: 10.1016/j.uclim.2021.101069.
    24. Deng C N, Li H S*, Peng D Z, Liu L S*, Zhu Q H, Li C J. 2021. Modelling the coupling evolution of the water environment and social economic system using PSO-SVM in the Yangtze River Economic Belt, China. Ecological Indicators 129, 108012. doi: 10.1016/j.ecolind.2021.108012.
    25. 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, Yang H. 2021. Time-lag effects of climatic change and drought on vegetation dynamics in an alpine river basin of the Tibet Plateau, China. Journal of Hydrology 600, 126532. doi: 10.1016/j.jhydrol.2021.126532.
    26. Deng C N, Liu L S, Li H S*, Peng D Z*, Wu Y F, Xia H J, Zhang Z Q, Zhu Q H. 2021. A data-driven framework for spatiotemporal characteristics, complexity dynamics, and environmental risk evaluation of river water quality. Science of The Total Environment 785, 147134. doi: 10.1016/j.scitotenv.2021.147134.
    27. Zhao G*, Pang B*, Xu Z X, Cui L Z, Wang J J, Zuo D P, Peng D Z. 2021. Improving urban flood susceptibility mapping using transfer learning. Journal of Hydrology 602, 126777. doi: 10.1016/j.jhydrol.2021.126777.
    28. Deng C N, Liu L S, Peng D Z*, Li H S*, Zhao Z Y, Lyu C J, Zhang Z Q. 2021. Net anthropogenic nitrogen and phosphorus inputs in the Yangtze River economic belt: spatiotemporal dynamics, attribution analysis, and diversity management. Journal of Hydrology 597, 126221. doi: 10.1016/j.jhydrol.2021.126221.
    29. Zhao G, Pang B*, Xu Z X, Peng D Z, Zuo D P. 2020. Urban flood susceptibility assessment based on convolutional neural networks. Journal of Hydrology 590, 125235. doi: 10.1016/j.jhydrol.2020.125235.
    30. Li P J, Zuo D P*, Xu Z X, Gao X X, Peng D Z, Kan G Y, Sun W C, Pang B, Yang H. 2020. Impact of urbanization on variability of annual and flood season precipitation in a typical city of North China. Hydrology Research 51(5), 1150-1169. doi: 10.2166/nh.2020.176.
    31. Zhu Z F, Hei P F, Dou J, Peng D Z*. 2020. Evaluating different methods for determining the velocity-dip position over the entire cross section and at the centerline of a rectangular open channel. Entropy 22(6), 605. doi: 10.3390/e22060605.
    32. Pang B*, Shi S L, Zhao G, Shi R, Peng D Z, Zhu Z F. 2020. Uncertainty assessment of urban hydrological modelling from a multiple objective perspective. Water 12 (5), 1393. doi: 10.3390/w12051393.
    33. Chi K G, Pang B*, Cui L Z, Peng D Z, Zhu Z F, Zhao G, Shi S L. 2020. Modelling the vegetation response to climate changes in the Yarlung Zangbo River Basin using random forest. Water 12 (5), 1433. doi: 10.3390/w12051433.
    34. Zuo D P, Cai S Y, Xu Z X*, Peng D Z*, Kan G Y, Sun W C, Yang H. 2019. Assessment of meteorological and agricultural droughts using in-situ observations and remote sensing data. Agricultural Water Management 222, 125-138. doi: 10.1016/j.agwat.2019.05.046.
    35. Zhu Z F, Peng D Z, Wang H R*. 2019. Seawater desalination in China: an overview. Journal of Water Reuse and Desalination 9(2), 115-132. doi: 10.2166/wrd.2018.034.
    36. Zhu Z F, Yu J S, Dou J, Peng D Z*. 2019. An expression for velocity lag in sediment-laden open-channel flows based on Tsallis entropy together with the principle of maximum entropy. Entropy 21(5), 522. doi: 10.3390/e21050522.
    37. Zhao G, Pang B*, Xu Z X, Peng D Z, Xu L Y. 2019. Assessment of urban flood susceptibility using semi-supervised machine learning model. Science of the Total Environment 659, 940-949. doi: 10.1016/j.scitotenv.2018.12.217.
    38. Zhu Z F*, Wang H R, Pang B, Dou J, Peng D Z*. 2019. Comparison of conventional deterministic and entropy-based methods for predicting sediment concentration in debris flow. Water 11(3), 439. doi: 10.3390/w11030439.
    39. Liu X W, Xu Z X*, Peng D Z. 2019. Spatio-temporal patterns of vegetation in the Yarlung Zangbo River, China during 1998-2014. Sustainability 11(16), 4334. doi: 10.3390/su11164334.
    40. Liu X W, Xu Z X*, Peng D Z, 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. doi: 10.1002/joc.5779.
    41. Zhu Z F, Peng D Z*. 2019. Using Shannon entropy to model turbulence-induced flocculation of cohesive sediment in water. Environmental Science and Pollution Research 26(1), 959-974. doi: 10.1007/s11356-018-3462-4.
    42. Zhu Z F*, Wang H R, Peng D Z*, Dou J*. 2019. Modelling the hindered settling velocity of a falling particle in a particle-fluid mixture by the Tsallis entropy theory. Entropy 21(1), 55. doi: 10.3390/e21010055.
    43. Qiu L H, Peng D Z*, Chen J. 2018. Diagnosis of evapotranspiration controlling factors in the Heihe River basin, Northwest China. Hydrology Research 49(4), 1292-1303. doi: 10.2166/nh.2017.156.
    44. Liu J T, Xu Z X*, Bai J R, Peng D Z, Ren M F. 2018. Assessment and correction of the PERSIANN-CDR product in the Yarlung Zangbo River Basin, China. Remote Sensing 10 (12), 2031. doi: 10.3390/rs10122031.
    45. Xu Z X*, Peng D Z, Sun W C, Pang B, Zuo D P, Schumann A, Chen Y B. 2018. Preface: Innovative water resources management in a changing environment - understanding and balancing interactions between humankind and nature. Proceedings of the International Association of Hydrological Sciences 379. 463-464. doi: 10.5194/piahs-379-463-2018.
    46. Zhu Z F, Peng D Z, Dou J*. 2018. Changes in the two-dimensional and perimeter-based fractal dimensions of kaolinite flocs during flocculation: a simple experimental study. Water Science and Technology 77(4), 861-870. doi: 10.2166/wst.2017.603.
    47. Zhao K K, Peng D Z*, Gu Y, Fan C T. 2018. The research status of flash flood warning in China. MATEC Web of Conferences 246, 1072. doi: 10.1051/matecconf/201824601072.
    48. Liu X W, Peng D Z*, 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. 4631831. doi: 10.1155/2017/4631831.
    49. Zhu Z F*, Wang H R, Peng D Z. 2017. Dependence of sediment suspension viscosity on solid concentration: A simple general equation. Water 9(7), 474. doi: 10.3390/w9070474.
    50. Qiu L H, Peng D Z*, Xu Z X, 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. doi: 10.2166/wcc.2015.115.
    51. Peng D Z*, Xu Z X, Qiu L H, Zhao W M. 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, 169-177. doi: 10.1111/jfr3.12121.
    52. Peng D Z*, Qiu L H, Fang J, Zhang Z Y. 2016. Quantification of climate changes and human activities that impact runoff in the Taihu Lake basin, China. Mathematical Problems in Engineering. 2194196. doi: 10.1155/2016/2194196.
    53. Peng D Z*, Chen J, Fang J. 2015. Simulation of summer hourly stream flow by applying TOPMODEL and two routing algorithms to the sparsely gauged Lhasa River basin in China. Water 7(8), 4041-4053. doi: 10.3390/w7084041.
    54. Zuo D P, Xu Z X*, Peng D Z, Song J X, Cheng L, Wei S K, Abbaspour K C, Yang H. 2015. Simulating spatiotemporal variability of blue and green water resources availability with uncertainty analysis. Hydrological Processes 29, 1942-1955. doi: 10.1002/hyp.10307.
    55. 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. Proceedings of the International Association of Hydrological Sciences 368, 126-131. doi: 10.5194/piahs-368-126-2015.
    56. Qiu L H, You J J, Qiao F, Peng D Z*. 2014. Simulation of snowmelt runoff in the ungauged basin based on MODIS: A case study in Lhasa River basin. Stochastic Environmental Research and Risk Assessment 28(6), 1577-1585. doi: 10.1007/s00477-013-0837-4.
    57. Zhu D H, Peng D Z*, Cluckie I. 2013. Statistical analysis of error propagation from radar rainfall to hydrological models. Hydrology and Earth System Sciences 17, 1445-1453. doi: 10.5194/hess-17-1445-2013.
    58. Du Y, Peng D Z*. 2011. Study of ecological baseflow in Fenghe River. 2011 International Symposium on Water Resource and Environmental Protection 975-978. doi: 10.1109/ISWREP.2011.5893174.
    59. Hu L J, Peng D Z*, Tang S H, Xiao Y, Chen H. 2011. Impact of climate change on hydro-climatic variables in Xiangjiang River basin, China. 2011 International Symposium on Water Resource and Environmental Protection 2559-2562. doi: 10.1109/ISWREP.2011.5893400.
    60. Peng D Z*, Du Y. 2010. Comparative analysis of several Lhasa River Basin flood forecast models in Yarlung Zangbo River. 2010 4th International Conference on Bioinformatics and Biomedical Engineering 1-4. doi: 10.1109/ICBBE.2010.5515463.
    61. Peng D Z, 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. Hydrological Processes 24, 209-216. doi: 10.1002/hyp.7485.
    62. Peng D Z, Guo S L*, Liu P, Liu T. 2006. Reservoir storage curve estimation based on remote sensing data. Journal of Hydrologic Engineering 11(2), 165-172. doi: 10.1061/(ASCE)1084-0699(2006)11:2(165).
    63. Peng D Z, Xiong L H*, Guo S L, Shu N. 2005. Study of Dongting Lake area variation and its influence on water level using MODIS data. Hydrological Sciences Journal 50(1), 31-44. doi: 10.1623/hysj.50.1.31.56327.
    64. Hu C H, Guo S L*, Xiong L, Peng D Z. 2005. A modified Xinanjiang model and its application in northern China. Nordic Hydrology 36(2), 175-192. doi: 10.2166/NH.2005.0013.
    65. Guo S L*, Zhang H G, Chen H, Peng D Z, Liu P, Pang B. 2004. A reservoir flood forecasting and control system for China. Hydrological Sciences Journal 49(6), 959-972. doi: 10.1623/HYSJ.49.6.959.55728.
    66. Niu X T*, Meng B, Peng D Z. 2004. Research on computing models of CBR similarity. Wuhan University Journal of Natural Sciences 9, 407–410. doi: 10.1007/BF02830432.

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