iRainSnowHydro v1.0: A distributed integrated rainfall-runoff and snowmelt-runoff simulation model for alpine watersheds

被引:0
|
作者
Luo, Yuning [1 ,2 ,3 ]
Zhang, Ke [1 ,2 ,3 ,4 ,5 ,6 ]
Wang, Yuhao [1 ,2 ,3 ]
Wang, Sheng [1 ,2 ,3 ]
Wu, Nan [1 ,2 ,3 ]
Li, Shunzhang [1 ,2 ,3 ]
Zhang, Qinuo [1 ,2 ,3 ]
Chen, Xinyu [7 ]
Bao, Hongjun [8 ]
机构
[1] Hohai Univ, Natl Key Lab Water Disaster Prevent, Nanjing 210024, Jiangsu, Peoples R China
[2] Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210024, Jiangsu, Peoples R China
[3] Hohai Univ, Yangtze Inst Conservat & Dev, Nanjing 210024, Jiangsu, Peoples R China
[4] Hohai Univ, China Meteorol Adm, Hydrometeorol Key Lab, Nanjing 210024, Jiangsu, Peoples R China
[5] Hohai Univ, Key Lab Water Big Data Technol, Minist Water Resources, Nanjing 210024, Jiangsu, Peoples R China
[6] Hohai Univ, Key Lab Hydrol Cycle & Hydrodynam Syst, Minist Water Resources, Nanjing 210024, Jiangsu, Peoples R China
[7] Arizona State Univ, Sch Sustainable Engn & Built Environm, Tempe, AZ USA
[8] China Meteorol Adm, Natl Meteorol Ctr, Beijing 100081, Peoples R China
关键词
Snowmelt runoff; Runoff generation mode; Alpine watershed; Snow reservoir; Runoff simulation; Tibetan Plateau; HYDROLOGICAL RESPONSE; RIVER-BASIN; CHINA; VARIABILITY; ALGORITHMS; COMPONENTS; SYSTEM; ENERGY; COVER; AREA;
D O I
10.1016/j.jhydrol.2024.132220
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Snowmelt runoff is an essential runoff component in alpine watersheds. On the Tibetan Plateau, the complex hydrometeorological and underlying surface conditions make a single runoff generation mode (either snowmeltrunoff or rainfall-runoff) cannot accurately simulate the runoff process. In this study, we developed a new method that combines the curve number, topographic index, and fractional snow cover to identify the sub-basin seasonal dominant runoff generation mode within the Jinsha River Basin. By constructing a surface 'snow reservoir' to depict snow melting impact on runoff generation, and quantitatively classifying the precipitation composition, an innovative integrated hydrological model named the distributed integrated Rainfall-runoff and Snowmelt-runoff simulation Hydrological model (iRainSnowHydro) is developed. With model, a method for identifying the seasonal varying dominant runoff generation mode is proposed. The results show that most subbasins experience both snowmelt and rainfall driven runoff generation in spring, with snowmelt occurring earlier in regions of lower latitude and elevation. Besides, iRainSnowHydro performs well in daily runoff simulations at Zhimenda and Shigu stations with Nash coefficients of 0.81 and 0.85 in the calibration period, and 0.72 and 0.81 in the validation period. The correlation coefficient ranges from 0.92 to 0.96. Additionally, calculation through iRainSnowHydro indicates a noteworthy percentage of spring snowmelt water. Notably, the Zhimenda watershed, characterized by higher latitudes and elevations, displays an escalating trend from 56.6% to 78.9% of total precipitation for spring snowmelt water between 2014 and 2020, while the Shigu watershed maintains stable within 27 % +/- 6 %. The methodologies outlined bear significance for simulating and predicting runoff in alpine watersheds and offers valuable insights into how snow cover responds to climate change on the Tibetan Plateau.
引用
收藏
页数:21
相关论文
共 50 条
  • [31] Simulation of rainfall-runoff process by ANNs and HEC-HMS model
    Akbarpour, M.
    Rahnama, M. B.
    DAMS AND RESERVOIRS, SOCIETIES AND ENVIRONMENT IN THE 21ST CENTURY, VOLS 1 AND 2, 2006, : 783 - +
  • [32] Comparison of Volterra Model and Artificial Neural Networks for Rainfall-Runoff Simulation
    Hasanpour Kashani M.
    Ghorbani M.A.
    Dinpashoh Y.
    Shahmorad S.
    Natural Resources Research, 2014, 23 (3) : 341 - 354
  • [33] Calculation model and simulation for time of concentration of urban surface rainfall-runoff
    Yang, Dejun
    Bian, Zhengfu
    Lei, Shaogang
    Mu, Shouguo
    Xiong, Jibing
    Du, Guoqiang
    Zhongguo Kuangye Daxue Xuebao/Journal of China University of Mining and Technology, 2015, 44 (06): : 1084 - 1089
  • [34] SIMULATION OF RAINFALL-RUNOFF PROCESS USING A HYSTERETIC INFILTRATION REDISTRIBUTION MODEL
    WATSON, KK
    LEES, SJ
    AUSTRALIAN JOURNAL OF SOIL RESEARCH, 1975, 13 (02): : 133 - 140
  • [35] SIMULATION OF AREALLY INTEGRATED SPATIAL-TEMPORAL RAINFALL FIELD FOR USE IN RAINFALL-RUNOFF MODELS
    RETNAM, MT
    WILLIAMS, BJ
    KUCZERA, G
    MATHEMATICS AND COMPUTERS IN SIMULATION, 1990, 32 (1-2) : 107 - 112
  • [36] A new distributed rainfall-runoff (DR2) model based on soil saturation and runoff cumulative processes
    Lopez-Vicente, M.
    Navas, A.
    AGRICULTURAL WATER MANAGEMENT, 2012, 104 : 128 - 141
  • [37] Assessment of High Resolution Topography Impacts on Deterministic Distributed Hydrological Model in Extreme Rainfall-runoff Simulation
    Ma, Qiang
    Zavattero, Elodie
    Du, Mingxuan
    Ngoc Duong Vo
    Gourbesville, Philippe
    12TH INTERNATIONAL CONFERENCE ON HYDROINFORMATICS (HIC 2016) - SMART WATER FOR THE FUTURE, 2016, 154 : 601 - 608
  • [38] Spatial sensitivity analysis of snow cover data in a distributed rainfall-runoff model
    Berezowski, T.
    Nossent, J.
    Chormanski, J.
    Batelaan, O.
    HYDROLOGY AND EARTH SYSTEM SCIENCES, 2015, 19 (04) : 1887 - 1904
  • [39] Study of the rainfall-runoff process in the Andes region using a continuous distributed model
    Braud, I
    Fernandez, P
    Bouraoui, F
    JOURNAL OF HYDROLOGY, 1999, 216 (3-4) : 155 - 171
  • [40] A GIS-based rainfall-runoff distributed model applied in an experimental watershed
    Bourletsikas, A.
    Baltas, E.
    Mimikou, M.
    Baloutsos, G.
    PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND TECHNOLOGY, VOL A - ORAL PRESENTATIONS, PTS A AND B, 2005, : A209 - A214