Selected Research Grants:
1. Sub Work Package 6: Decision support platform and demonstration of real-time flood dispatching in Beijing,National Key Research & Development Plan, 2017YFC1502706, 2018-2021. (Awarded RMB 570, 000). PI.
2. Evolution mechanism of hydrological cycle under climate change in the Lhasa River, National Natural Science Foundation, 51779006, 2018-2021. (Awarded RMB 600, 000). PI.
3. Study of climate change impact on hydrology and water resources in the Yarlung Zangbo River basin, National Natural Science Foundation, 91647202, 2017-2020. (Awarded RMB 3, 250, 000). co-PI.
4. 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. (Awarded RMB 450, 000). PI.
5. 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. (Awarded RMB 630, 000). PI.
6. Flood emergency dispatch in the Longtan Reservior, Hydrology Bureau of Pearl River Conservancy Commission, Ministry of Water Resources, 2012-2013. (Awarded RMB 120, 000). PI.
7. Scientific Research Foundation for the Returned Overseas Chinese Scholars, Ministry of Education, 2010-2011. (Awarded RMB 30, 000). PI.
8. Open Fund of State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, 2009-2010. (Awarded RMB 40, 000). PI.
9. Open Fund of State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering, Hohai University, 2008-2009. (Awarded RMB 30, 000). PI.
10. Work Package 2: Application of the distributed hydrological model in the flood forecasting. National Key Technology Research & Development Program, 2005-2007. (Awarded RMB 100, 000). PI.
Papers in Refereed International Journals
1. 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 Indicators129, 108012. doi: 10.1016/j.ecolind.2021.108012.
2. 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 Hydrology600, 126532. doi: 10.1016/j.jhydrol.2021.126532.
3. 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 Environment785, 147134. doi: 10.1016/j.scitotenv.2021.147134.
4. 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 Hydrology602, 126777. doi: 10.1016/j.jhydrol.2021.126777.
5. 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 Hydrology597, 126221. doi: 10.1016/j.jhydrol.2021.126221.
6. 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 Hydrology590, 125235. doi: 10.1016/j.jhydrol.2020.125235.
7. 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 Research51(5), 1150-1169. doi: 10.2166/nh.2020.176.
8. 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.Entropy22(6), 605. doi: 10.3390/e22060605.
9. 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 Management222, 125-138. doi: 10.1016/j.agwat.2019.05.046.
10. Zhu Z F,Peng D Z, Wang H R*. 2019. Seawater desalination in China: an overview.Journal of Water Reuse and Desalination9(2), 115-132. doi: 10.2166/wrd.2018.034.
11. 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.Entropy21(5), 522. doi: 10.3390/e21050522.
12. 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 Environment659, 940-949. doi: 10.1016/j.scitotenv.2018.12.217.
13. 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.Water11(3), 439. doi: 10.3390/w11030439.
14. Liu X W, Xu Z X*,Peng D Z. 2019. Spatio-temporal patterns of vegetation in the Yarlung Zangbo River, China during 1998-2014.Sustainability11(16), 4334. doi: 10.3390/su11164334.
15. 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 Climatology39(1), 43-49. doi: 10.1002/joc.5779.
16. Zhu Z F,Peng D Z*. 2019. Using Shannon entropy to model turbulence-induced flocculation of cohesive sediment in water.Environmental Science and Pollution Research26(1), 959-974. doi: 10.1007/s11356-018-3462-4.
17. Qiu L H,Peng D Z*, Chen J. 2018. Diagnosis of evapotranspiration controlling factors in the Heihe River basin, Northwest China.Hydrology Research49(4), 1292-1303. doi: 10.2166/nh.2017.156.
18. 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. doi: 10.1155/2017/4631831.
19. 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 Change7(1), 251-262. doi:10.2166/wcc.2015.115.
20. 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 Management9, 169-177. doi: 10.1111/jfr3.12121.
21. 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. doi:10.1155/2016/2194196.
22. 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.Water7(8), 4041-4053. doi: 10.3390/w7084041.
23. 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 Processes29, 1942-1955. doi: 10.1002/hyp.10307.
24. 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 Assessment28(6), 1577-1585. doi: 10.1007/s00477-013-0837-4.
25. Zhu D H,Peng D Z*, Cluckie I. 2013. Statistical analysis of error propagation from radar rainfall to hydrological models.Hydrology and Earth System Sciences17, 1445-1453. doi:10.5194/hess-17-1445-2013.
26. 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 Processes24, 209-216. DOI: 10.1002/hyp.7485.
27. Peng D Z, Guo S L*, Liu P, Liu T. 2006. Reservoir storage curve estimation based on remote sensing data.Journal of Hydrologic Engineering11(2), 165-172. doi: 10.1061/(ASCE)1084-0699(2006)11:2(165).
28. 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 Journal50(1), 31-44. doi: 10.1623/hysj.50.1.31.56327.
29. Hu C H, Guo S L*, Xiong L,Peng D Z. 2005. A modified Xinanjiang model and its application in northern China.Nordic Hydrology36(2), 175-192.
30. 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 Journal49(6), 959-972.