Journal of Jilin University(Earth Science Edition) ›› 2021, Vol. 51 ›› Issue (3): 833-842.doi: 10.13278/j.cnki.jjuese.20190249

Previous Articles     Next Articles

Applicability of CMADS Precipitation Data in Reservoir Control Basin of Temperate East Asian Monsoon Climate Region: A Case Study of Chaobai River and Dongyang River Basin

Hong Mei1,2, Lin Haodong1,2   

  1. 1. College of New Energy and Environment, Jilin University, Changchun 130021, China;
    2. National Local Joint Engineering Laboratory of Petrochemical Pollution Site Control and Remediation Technology, Jilin University, Changchun 130021, China
  • Received:2019-11-26 Online:2021-05-26 Published:2021-06-07
  • Supported by:
    Supported by the Major Scientific and Technological Projects on Water Pollution Control and Government (2018ZX07111001)

Abstract: In order to explore the applicability of CMADS precipitation data in the hydrological simulation of reservoir-controlled watersheds in the temperate East Asian monsoon climate zone, the SWAT model was selected as the simulation tool, the CMADS precipitation data and the hydrological yearbook measured precipitation data were used as the model input, and the measured runoff was used to calibrate and verify the parameters of the model. The hydrological runoff was simulated with and without reservoir control in the Chaobai River basin, and the CMADS precipitation data was used as the model input for the hydrological runoff simulation in the Dongyang River basin with reservoir control. The result showed that in the Chaobai River over the period of calibration, the coefficients of determination of the two models were 0.64 and 0.83 with the Nash-Sutcliffe of 0.64 and 0.83, respectively; At the verification stage, the coefficients of determination were 0.61 and 0.83, with the Nash-Sutcliffe of 0.58 and 0.60, respectively. The CMADS precipitation data has applicability in the scenarios without reservoir control in the temperate East Asian monsoon climate zone. In the reservoir-controlled Bai River system, the coefficients of determination of the model under the support of the CMADS precipitation data and the measured precipitation data were 0.89 and 0.87, with the Nash-Sutcliffe of 0.87 and 0.86, respectively; at the verification stage, the coefficients of determination were 0.61 and 0.67, with the Nash-Sutcliffe of 0.61 and 0.65, respectively. The coefficient of determination of the control basin model rate of the Dongyang River reservoir supported by CMADS precipitation data was 0.84, and the Nash-Sutcliffe was 0.78; While the coefficient of determination at the verification stage was 0.87, and the Nash-Sutcliffe was 0.78. It shows that the CMADS precipitation data has good applicability in hydrological simulations of watershed scenarios with and without reservoir control. Therefore, the CMADS precipitation data can be used to establish a hydrological model of the reservoir controlled watershed in the temperate East Asian monsoon climate zone.

Key words: CMADS precipitation data, SWAT model, runoff simulation, applicability evaluation

CLC Number: 

  • P641.1
[1] 张爽,曾献奎,吴吉春. 提孜那甫河流域融雪径流模拟及不确定性分析[J]. 吉林大学学报(地球科学版),2019,49(5):1415-1424. Zhang Shuang, Zeng Xiankui, Wu Jichun. Snowmelt Runoff Simulation and Uncertainty Analysisin Tizinafu River Basin[J]. Journal of Jilin University (Earth Science Edition),2019,49(5):1415-1424.
[2] 邱淑伟,吴亚敏,柯昱琪,等.基于遍历搜索算法的水文地质参数优化求解[J].吉林大学学报(地球科学版),2020,50(6):1854-1861. Qiu Shuwei,Wu Yamin, Ke Yuqi, et al. Optimization of Hydrogeological Parameters Based on Ergodic Search Algorithm[J]. Journal of Jilin University (Earth Science Edition),2020,50(6):1854-1861.
[3] 闫红飞, 王船海, 文鹏. 分布式水文模型研究综述[J]. 水电能源科学, 2008, 26(6): 1-4. Yan Hongfei, Wang Chuanhai, Wen Peng. Overview of Studies on Distributed Hydrological Model[J]. Water Resources and Power, 2008, 26(6): 1-4.
[4] 张银辉. SWAT模型及其应用研究进展[J]. 地理科学进展, 2005, 24(5): 123-132. Zhang Yinhui. Development of Study on Model-SWAT and Its Application[J]. Progress in Geography, 2005, 24(5): 123-132.
[5] Manguerra H B, Engel B A. Hydrologic Parameterization of Watersheds for Runoff Prediction Using SWAT[J]. Jawra Journal of the American Water Resources Association, 1998, 34(5): 1149-1162.
[6] Srinivasan R, Ramanarayanan T S, Arnold J G, et al. Large Area Hydrologic Modeling and Assessment: Part II: Model Application[J]. Journal of the American Water Resources Association, 1998, 34(1):91-101.
[7] Jones R N, Chiew F H S, Boughton W C, et al. Estimating the Sensitivity of Mean Annual Runoff to Climate Change Using Selected Hydrological Models[J]. Advances in Water Resources, 2006, 29(10):1419-1429.
[8] Mohsen T N, Kendall G, Hadi B M, et al. SWAT Modeling of Non-Point Source Pollution in Depression-Dominated Basins Under Varying Hydroclimatic Conditions[J]. International Journal of Environmental Research and Public Health, 2018, 15(11):2492.
[9] 于磊, 邱殿明. 基于SWAT模型的漳卫南流域水量模拟[J]. 吉林大学学报(地球科学版), 2007, 37(5): 949-954. Yu Lei, Qiu Dianming. Water Quantity Simulation of the Zhangweinan Basin Based on SWAT Model[J]. Journal of Jilin University(Earth Science Edition), 2007, 37(5): 949-954.
[10] 王中根, 朱新军, 夏军, 等. 海河流域分布式SWAT模型的构建[J]. 地理科学进展, 2008, 27(4): 1-6. Wang Zhonggen, Zhu Xinjun, Xia Jun, et al. Study on Distributed Hydrological Model in Hai River Basin[J]. Progress in Geography, 2008, 27(4): 1-6.
[11] 刘博, 徐宗学. 基于SWAT模型的北京沙河水库流域非点源污染模拟[J]. 农业工程学报, 2011, 27(5): 52-61,401. Liu Bo, Xu Zongxue. Simulation of Non-Point Source Pollution in the Shahe Reservoir Catchment in Beijing by Using SWAT Model[J]. Transactions of the Chinese Society of Agricultural Engineering, 2011, 27(5): 52-61,401.
[12] 汤洁, 杨巍, 李昭阳, 等. 辽河大伙房水库汇水区农业非点源污染入库模拟[J]. 吉林大学学报(地球科学版), 2012, 42(5): 1462-1468,1476. Tang Jie, Yang Wei, Li Zhaoyang, et al. Simulation on the Inflow of Agricultural Non-Point Sources Pollution in Dahuofagn Reservoir Catchment of Liao River[J]. Journal of Jilin University(Earth Science Edition), 2012, 42(5): 1462-1468,1476.
[13] 万浩, 董晓华, 彭涛, 等. 基于SWAT模型和SUFI-2算法的黄柏河东支流域径流模拟研究[J]. 中国农村水利水电, 2018, 434(12): 99-105. Wan Hao, Dong Xiaohua, Peng Tao, et al. Application of the SWAT Model into the Runoff Simulation Based on SUFI-2 Algorithm in the East Branch of Huangbai River Basin[J]. China Rural Water and Hydropower, 2018, 434(12): 99-105.
[14] 廖亚一, 吕海深, 李占玲. 气象数据不确定性对SWAT模型径流模拟影响[J]. 人民长江, 2014, 45(9): 34-38. Liao Yayi, Lü Haishen, Li Zhanling. Influence of Meteorological Data Uncertainty on Runoff Simulation by SWAT Model[J]. Yangtze River, 2014, 45(9): 34-38.
[15] 胡胜, 曹明明, 邱海军, 等. CFSR气象数据在流域水文模拟中的适用性评价:以灞河流域为例[J]. 地理学报, 2016, 71(9): 1571-1586. Hu Sheng, Cao Mingming, Qiu Haijun, et al. Applicability Evaluation of CFSR Climate Data for Hydrologic Simulation: A Case Study in the Bahe River Basin[J]. Acta Geographica Sinica, 2016, 71(9): 1571-1586.
[16] 孟现勇, 师春香, 刘时银, 等. CMADS数据集及其在流域水文模型中的驱动作用:以黑河流域为例[J]. 人民珠江, 2016, 37(7): 1-19. Meng Xianyong, Shi Chunxiang, Liu Shiyin, et al. CMADS Datasets and Its Application in Watershed Hydrological Simulation: A Case Study of the Heihe River Basin[J]. Pearl River, 2016, 37(7): 1-19.
[17] 张利敏, 王浩, 孟现勇. 基于CMADS驱动的SWAT模型在辽宁浑河流域的应用研究[J]. 华北水利水电大学学报(自然科学版), 2017, 38(5): 1-9. Zhang Limin, Wang Hao, Meng Xianyong. Application of SWAT Model Driven by CMADS in Hunhe River Basin in Liaoning Province[J]. Journal of North China University of Water Resources and Electric Power (Natural Science Edition), 2017, 38(5): 1-9.
[18] 张春辉, 王炳亮. CMADS与传统气象站数据驱动下的SWAT模型模拟效果评价:以苦水河流域为例[J]. 中国农村水利水电, 2018 (6): 52-57. Zhang Chunhui. Wang Bingliang. Evaluation of Runoff Simulation Effects of the SWAT Model Driven by CMADS and Traditional Meteorological Station Data-Taking the Case Study in Kushui River Basin[J]. China Rural Water and Hydropower, 2018 (6): 52-57.
[19] Thom T V, Li L, Jun K S. Evaluation of Multi-Satellite Precipitation Products for Streamflow Simulations: A Case Study for the Han River Basin in the Korean Peninsula, East Asia[J]. Water, 2018, 10(5):642.
[20] Dong N P, Yang M X, Meng X Y, et al. CMADS-Driven Simulation and Analysis of Reservoir Impacts on the Streamflow with a Simple Statistical Approach[J]. Water, 2019, 11(1):178.
[21] 魏怀斌, 张占庞, 杨金鹏. SWAT模型土壤数据库建立方法[J]. 水利水电技术, 2007,38 (6): 15-18. Wei Huaibin, Zhang Zhanpang, Yang Jinpeng. Establishing Method for Soil Database of SWAT Model[J]. Water Resources and Hydropower Engineering, 2007, 38(6): 15-18.
[22] 王蕾, 魏晓妹, 降亚楠, 等. 关中平原灌区SWAT模型基础数据库的构建[J]. 水电能源科学, 2017, 35(7): 13-17. Wang Lei, Wei Xiaomei, Jiang Yanan, et al. Construction of Basic Database for SWAT Model in Guanzhong Plain Irrigation District[J]. Water Resources and Power, 2017, 35(7): 13-17.
[23] Winchell M. ArcSWAT 2009用户指南[M]. 郑州:黄河水利出版社, 2012. Winchell M. ArcSWAT 2009 User’s Guide[M]. Zhengzhou: The Yellow River Water Conservancy Press, 2012.
[24] Schaefli B, Gupta H V. Do Nash Values Have Value?[J]. Hydrological Processes, 2007, 21(15): 2075-2080.
[1] TANG Ji, YANG Wei, LI Zhao-yang, BIAN Jian-min, LIU Chang. Simulation on the Inflow of Agricultural Non-Point Sources Pollution in Dahuofang Reservoir Catchment of Liao River [J]. J4, 2012, 42(5): 1462-1468.
[2] YIN Xiong-rui, ZHANG Guang-xin, YANG Fan, XU Bin. Distributed Hydrological Modeling in Semi-Arid Region in Northeast China: A Case Study in the Taoer River Basin [J]. J4, 2011, 41(1): 137-144.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] GAO Song,SONG Ying,WANG Lin,JIANG Buxin. Study on the Screening and Characterization of Special Effective Bacteria of Degrading Thiuram in the Waterbody[J]. J4, 2006, 36(03): 455 -457 .
[2] LI Xian-zhou,LIU Yan,LIU Li-hua,NING Wei-kun,FAN Hai. The Preparation and Characterization of the Kaolin-Hydrazine Intercalation Complex[J]. J4, 2006, 36(04): 659 -662 .
[3] LU Shuang-fang, LI Ji-jun, XUE Hai-tao, XU Li-heng. Chemical Kinetics of Carbon Isotope Fractionation of Oil-Cracking Methane and Its Initial Application[J]. J4, 2006, 36(05): 825 -829 .
[4] DING Zhi-hong,FENG Ping,MAO Hui-hui. Research and Application of a Method Considering Runoff Distribution Through A Year During Partitioning Runoff into Abundant and Low State[J]. J4, 2009, 39(2): 276 -0280 .
[5] LI Jian-ping, LI Tong-lin, ZHANG Hui, XU Kai-jun. Study and Application of the TEM Forward and Inversion Problem of Irregular Loop Source over the Layered Medium[J]. J4, 2005, 35(06): 790 -0795 .
[6] ZHONG Yu-hong,FANG Chun-sheng,QIU Li-min, LV Li-sha, ZHANG Zi-yi, DONG De-ming,YU Lian-gui, LIU Hui, LIU Chun-yang, SU Hong-shi, ZHAO Jing. Application of Electron Microscopic Analysis for the Sources Apportionment of Atmospheric Particles[J]. J4, 2008, 38(3): 473 -0478 .
[7] LIU Jun-lai, TANG Yuan, SONG Zhi-jie, Tran My Dung, ZHAI Yun-feng, WU Wen-bin, CHEN Wen. The Ailaoshan Belt in Western Yunnan:Tectonic Framework and Tectonic Evolution[J]. J4, 2011, 41(5): 1285 -1303 .
[8] LI Song, TANG Da-zhen, WANG Wei, XU Hao, YANG Zi, CHEN Xiao-zhi, CUI Li-wei. Sequence Stratigraphic Framework and Geological Significance for Petroleum of Xishanyao Formation in Shanle Oilfield[J]. J4, 2011, 41(4): 983 -991 .
[9] ZENG Yu-chao, SU Zheng, WU Neng-you, WANG Xiao-xing, HU Jian. Temperature Distribution Characteristics of Bedrock Fracture Groundwater System at Zhangzhou Geothermal Field[J]. J4, 2012, 42(3): 814 -820 .
[10] He Jun, Ye Xueyan. Probability Design of Thickness of Composite Liners Based on Organic Pollutant Diffusion[J]. Journal of Jilin University(Earth Science Edition), 2013, 43(1): 228 -234 .