Enhancing SWAT with remotely sensed LAI for improved modelling of ecohydrological process in subtropics
文献类型：期刊论文
| 作者 | Ma, Tianxiao1,2; Duan, Zheng3,4; Li, Runkui1,5; Song, Xianfeng1,2,5 |
| 刊名 | JOURNAL OF HYDROLOGY
 |
| 出版日期 | 2019-03-01 |
| 卷号 | 570页码:802-815 |
| 关键词 | Vegetation growth Subtropics LAI MODIS Integration Modified SWAT |
| ISSN号 | 0022-1694 |
| DOI | 10.1016/j.jhydrol.2019.01.024 |
| 通讯作者 | Song, Xianfeng(xfsong@ucas.ac.cn) |
| 英文摘要 | Vegetation growth in Soil and Water Assessment Tool (SWAT) is a crucial process for quantifying ecohydrological modelling, as it influences evapotranspiration, interception, soil erosion and biomass production. The simplified version of Environmental Policy Integrated Climate (EPIC) in SWAT was originally designed for temperate regions and naturally based on temperature to simulate growth cycles of vegetation. However, tropical or subtropical vegetation growth is mainly controlled by rainfall. Due to this limitation, current SWAT simulations in tropics and subtropics have been facing a series of problems on vegetation dormancy, water balance and sediment yield. Therefore, we proposed an approach to enhance the modelling of SWAT vegetation dynamics with remotely sensed leaf area index (LAI), to finally increase the applicability of SWAT in tropical or subtropical areas. Spatially and temporally continuous LAI products (1 day, 500 m) from Moderate Resolution Imaging Spectroradiometer (MODIS) observations were integrated into SWAT to replace the LAI simulated by built-in EPIC module. Two advanced filter algorithms were employed to derive a downscaled LAI (30 m) to keep a consistent spatial scale with the size of Hydrological Response Units (HRU) and open data (i.e. SRTM, 30 m), and the source code of the plant growth module were correspondingly modified to incorporate the downscaled LAI into SWAT. To examine the performance of our proposed approach, a case study was conducted in a representative middle-scale (6384 km(2)) subtropical watershed of Meichuan basin, China, and detailed analysis was performed to investigate its ecohydrological effects, such as streamflow, sediment yield and LAI dynamics from 2001 to 2014. Model performances were compared among three scenarios: (1) original SWAT, (2) SWAT with a corrected plant dormancy function, and (3) modified SWAT after integration of MODIS LAI (our proposed method). Results showed that the modified SWAT took advantage of downscaled MODIS LAI and produced more reasonable seasonal curves of vegetation cover factor (C) of plants than the original model. Correspondingly, the modified SWAT substantially improved streamflow and sediment simulations. The findings demonstrated that SWAT model can be a useful tool for simulating ecohydrological process for subtropical ecosystems when integrated with our proposed method. |
| WOS关键词 | LEAF-AREA INDEX ; RIVER-BASIN ; VEGETATION DYNAMICS ; ECOSYSTEM SERVICES ; BLENDING LANDSAT ; WATER-QUALITY ; MODIS DATA ; SOIL ; RESOLUTION ; PRECIPITATION |
| 资助项目 | National Key Research and Development Program of China[2017YFB0503702] ; National Key Research and Development Program of China[2016YFC0503602] ; National Key Research and Development Program of China[2017YFB0503605] ; National Natural Science Foundation of China[41771435] ; National Natural Science Foundation of China[41201038] ; National Natural Science Foundation of China[41601486] ; China Scholarship Council[201704910297] ; Guangxi Science and Technology Major Project[GK-AA17202033] ; CAS Huairou Eco-Environmental Observatory |
| WOS研究方向 | Engineering ; Geology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000460709400064 |
| 出版者 | ELSEVIER SCIENCE BV |
| 资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China ; China Scholarship Council ; Guangxi Science and Technology Major Project ; CAS Huairou Eco-Environmental Observatory |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/49163]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Song, Xianfeng |
| 作者单位 | 1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 2.Univ Chinese Acad Sci, Sino Danish Coll, Beijing 100049, Peoples R China 3.Univ Lancaster, Lancaster Environm Ctr, Lancaster LA1 4YQ, England 4.Tech Univ Munich, Chair Hydrol & River Basin Management, Arcisstr 21, D-80333 Munich, Germany 5.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ma, Tianxiao,Duan, Zheng,Li, Runkui,et al. Enhancing SWAT with remotely sensed LAI for improved modelling of ecohydrological process in subtropics[J]. JOURNAL OF HYDROLOGY,2019,570:802-815. |
| APA | Ma, Tianxiao,Duan, Zheng,Li, Runkui,&Song, Xianfeng.(2019).Enhancing SWAT with remotely sensed LAI for improved modelling of ecohydrological process in subtropics.JOURNAL OF HYDROLOGY,570,802-815. |
| MLA | Ma, Tianxiao,et al."Enhancing SWAT with remotely sensed LAI for improved modelling of ecohydrological process in subtropics".JOURNAL OF HYDROLOGY 570(2019):802-815. |
入库方式： OAI收割
来源：地理科学与资源研究所
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