基于CMADS驱动的SWAT模型在浏阳河流域的应用研究

doi:10.14088/j.cnki.issn0439-8114.2022.05.034

湖北农业科学 ›› 2022, Vol. 61 ›› Issue (5): 193-199.doi: 10.14088/j.cnki.issn0439-8114.2022.05.034

基于CMADS驱动的SWAT模型在浏阳河流域的应用研究

周滢, 毛德华, 邓美容

湖南师范大学资源与环境科学学院,长沙 410081

收稿日期:2021-04-02 出版日期:2022-03-10 发布日期:2022-04-01
通讯作者: 毛德华（1964-）,男,教授,博士,博士生导师,主要从事水土资源利用与水文水环境研究,（电子信箱）850276407@qq.com。
作者简介:周滢（1998-）,女,湖南邵阳人,在读硕士研究生,研究方向为流域水资源与环境,（电话）13762874363（电子信箱）214155993@qq.com。
基金资助:
国家自然科学基金区域创新发展联合基金项目（U19A2051）; 湖南省国内一流培育学科建设项目（5010002）

Application of SWAT model driven by CMADS in Liuyang river basin

ZHOU Ying, MAO De-hua, DENG Mei-rong

College of Resources and Environment Science, Hunan Normal University, Changsha 410081, China

Received:2021-04-02 Online:2022-03-10 Published:2022-04-01

摘要/Abstract

摘要： 以浏阳河流域为研究区域,对1961—2015年径流序列资料进行了水文突变检验,采用中国大气同化驱动数据集（CMADS）驱动SWAT模型,对该流域2009—2015年径流进行逐月模拟,并采用SUFI-2算法进行参数敏感度和不确定性分析。结果表明,浏阳河流域径流序列于1987年发生突变,不具有一致性。基于CMADS驱动的SWAT模型可以较好地模拟非一致性水文序列条件下浏阳河流域径流过程,决定系数、纳什系数、偏差百分比、均方根误差与标准值偏差5个指标均在误差范围内。与径流相关的11个参数指标中,SCS径流曲线系数、地下水的时间延迟、土壤有效水量、基流α因子和土壤饱和渗透系数较为敏感。验证期和率定期的P-factor均大于0.5,R-factor均小于1.0,模拟的不确定性较小。研究结果可为浏阳河流域水资源管理和调控分配提供科学参考依据,并为后续模型间耦合提供有力支撑。

关键词: CMADS, SWAT模型, 径流模拟, 浏阳河流域

Abstract: Taking Liuyang river basin as the research area, the hydrological mutation test of runoff sequence data from 1961 to 2015 was carried out. The SWAT model driven by China Atmospheric Assimilation Driven Data Set （CMADS） was used to simulate monthly runoff from 2009 to 2015. The SUFI-2 algorithm was used to analyze parameter sensitivity and uncertainty. The results show that the runoff series of Liuyang river basin changed abruptly in 1987, which was not consistent. SWAT model driven by CMADS can better simulate the runoff process of Liuyang river basin under the condition of inconsistent hydrological sequence, and the five indicators of determination coefficient, Nash coefficient, deviation percentage, root mean square error and standard deviation were within the error range. Among the 11 parameters related to runoff, SCS runoff curve coefficient, groundwater time delay, soil available water, base flow α-factor and soil saturated permeability coefficient are the most sensitive. Validation period and rate of periodic P-factor were greater than 0.5, R-factor were less than 1.0, simulation uncertainty was small. The research results can provide scientific reference for water resources management and regulation and distribution in Liuyang river basin, and provide strong support for the coupling between subsequent models.

Key words: CMADS, SWAT model, runoff simulation, Liuyang river basin

中图分类号:

P333

周滢, 毛德华, 邓美容. 基于CMADS驱动的SWAT模型在浏阳河流域的应用研究[J]. 湖北农业科学, 2022, 61(5): 193-199.

ZHOU Ying, MAO De-hua, DENG Mei-rong. Application of SWAT model driven by CMADS in Liuyang river basin[J]. HUBEI AGRICULTURAL SCIENCES, 2022, 61(5): 193-199.

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基于CMADS驱动的SWAT模型在浏阳河流域的应用研究

Application of SWAT model driven by CMADS in Liuyang river basin

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