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[1]LIU Yihua,LU Yanrong,ZHOU Qiang,et al.Application of HBV Model to the Study on Risk Precipitation in Different Grades in Batang River Region[J].Research of Soil and Water Conservation,2015,22(02):224-228.

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Application of HBV Model to the Study on Risk Precipitation in Different Grades in Batang River Region

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 22 Number of periods: 2015 02 Page number: 224-228 Column: Public date: 2015-04-28

Title:: Application of HBV Model to the Study on Risk Precipitation in Different Grades in Batang River Region

Author(s):: LIU Yihua¹, LU Yanrong², ZHOU Qiang³, LI Changyu⁴; 1. Climate Center of Qinghai, Xi’ning 810001, China;
2. Qinghai Province Basic Geographic Information Center, Xi’ning 810000, China;
3. College of Life Science, Qinghai Normal University, Xi’ning 801600, China;
4. Xi’ning Meteorology Bureau, Xi’ning 810001, China

Keywords:: Batang iver region; HBV model; mudflow

CLC:: P338

DOI:: -

Abstract:: The trend of extreme climate events has been analyzed by many researchers. Once it occurs, it maybe cause serious influence, so it becomes more and more important to research meteorology disaster, which can not only help us know disaster, conduct disaster forecast and loss assessment, but also help government to solve the problems. The module of runoff was simulated using a hydrological model(HBV) based on meteorological data, land use, hydrological data and Dem of Batang river region. The results of simulated runoff depth were verified. The results showed that: 1) the average runoff is 23.2 m³/s in recent 11 years in Xinzhai station, the runoff volumes in flood season in 2001，2003 and 2005 were greater, but the runoff volumes became less from 2006 to 2011; 2) the coefficients of determination and NASH were 0.678 2, 0.604 4, respectively, in the calibrated period, and were 0.770 and 0.530 5, respectively, in the verification period; 3) the warning critical rainfalls triggering runoff at different water levels were calculated using HBV model in order to reduce losses resulting from the flooding disasters.

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