Arid
DOI10.3390/su12093551
Improved Model Parameter Transferability Method for Hydrological Simulation with SWAT in Ungauged Mountainous Catchments
Meng, Fanhao1,2; Sa, Chula1,2; Liu, Tie3; Luo, Min1,2; Liu, Jiao4; Tian, Lin5
通讯作者Sa, Chula ; Liu, Tie
来源期刊SUSTAINABILITY
EISSN2071-1050
出版年2020
卷号12期号:9
英文摘要The sustainability of water resources in mountainous areas has a significant contribution to the stabilization and persistence of the ecological and agriculture systems in arid and semi-arid areas. However, the insufficient understanding of hydrological processes in ungauged mountainous catchments (UMCs) is not able to scientifically support the sustainable management of water resources. The conventional parameter transferability method (transplanting the parameters of the donor catchment model with similar distances or attributes to the target catchment model) still has great potential for improving the accuracy of the hydrological simulation in UMC. In this study, 46 river catchments, with discharge survey stations and multi-type catchment characteristics in Xinjiang, are separated into the target catchments and donor catchments to promote an improved model parameter transferability method (IMPTM). This method synthetically processes the SWAT model parameters based on the distance approximation principle (DAP) and the attribute similarity principle (ASP). The performance of this method is tested in a random gauged catchment and compared with other traditional methods (DAP and ASP). The daily runoff simulation results in the target catchment have relatively low accuracy by both the DAP method (NS = 0.27, R2 = 0.55) and ASP method (NS = 0.36, R2 = 0.65), which implies the conventional approach is not capable of processing the parameters in the target regions. However, the simulation result by IMPTM is a significant improvement (NS = 0.69, R2 = 0.85). Moreover, the IMPTM can accurately catch the flow peak, appearance time, and recession curve. The current study provides a compatible method to overcome the difficulties of hydrological simulation in UMCs in the world and can benefit hydrological forecasting and water resource estimation in mountainous areas.
英文关键词ungauged catchment hydrological simulation parameter transfer SWAT model
类型Article
语种英语
国家Peoples R China
开放获取类型gold
收录类别SCI-E ; SSCI
WOS记录号WOS:000537476200050
WOS关键词CLIMATE-CHANGE IMPACTS ; WATER-RESOURCES ; RIVER-BASIN ; RUNOFF ; REGIONALIZATION ; XINJIANG ; SNOWMELT ; COEFFICIENT ; UNCERTAINTY ; PREDICTIONS
WOS类目Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS研究方向Science & Technology - Other Topics ; Environmental Sciences & Ecology
来源机构中国科学院新疆生态与地理研究所 ; 北京师范大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/319027
作者单位1.Inner Mongolia Normal Univ, Coll Geog Sci, Hohhot 010022, Peoples R China;
2.Inner Mongolia Normal Univ, Inner Mongolia Key Lab Remote Sensing & Geog Info, Hohhot 010022, Peoples R China;
3.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China;
4.Southwest Univ Sci & Technol, Sch Environm & Resource, Mianyang 621000, Sichuan, Peoples R China;
5.Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
推荐引用方式
GB/T 7714
Meng, Fanhao,Sa, Chula,Liu, Tie,et al. Improved Model Parameter Transferability Method for Hydrological Simulation with SWAT in Ungauged Mountainous Catchments[J]. 中国科学院新疆生态与地理研究所, 北京师范大学,2020,12(9).
APA Meng, Fanhao,Sa, Chula,Liu, Tie,Luo, Min,Liu, Jiao,&Tian, Lin.(2020).Improved Model Parameter Transferability Method for Hydrological Simulation with SWAT in Ungauged Mountainous Catchments.SUSTAINABILITY,12(9).
MLA Meng, Fanhao,et al."Improved Model Parameter Transferability Method for Hydrological Simulation with SWAT in Ungauged Mountainous Catchments".SUSTAINABILITY 12.9(2020).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Meng, Fanhao]的文章
[Sa, Chula]的文章
[Liu, Tie]的文章
百度学术
百度学术中相似的文章
[Meng, Fanhao]的文章
[Sa, Chula]的文章
[Liu, Tie]的文章
必应学术
必应学术中相似的文章
[Meng, Fanhao]的文章
[Sa, Chula]的文章
[Liu, Tie]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。