A distributed model parameter optimization toolbox performing multisite calibration in the lump and distributed mode for the SWAT model
文献类型：期刊论文
| 作者 | Feng, Qingyu14,15; Chen, Liding14,15; Yang, Lei14,15; Yen, Haw1,13; Wang, Ruoyu12; Wu, Feng11,14; Feng, Yang9,10; Raj, Cibin8; Engel, Bernard A.7; Omani, Nina6 |
| 刊名 | ENVIRONMENTAL MODELLING & SOFTWARE
 |
| 出版日期 | 2023-10-01 |
| 卷号 | 168页码:8 |
| ISSN号 | 1364-8152 |
| 关键词 | Multisite calibration SWAT model Distributed mode Dmpotswat Dynamic dimension search |
| DOI | 10.1016/j.envsoft.2023.105785 |
| 通讯作者 | Chen, Liding(liding@rcees.ac.cn) |
| 英文摘要 | For watersheds with complex stream network or geographical heterogeneity, multisite calibration in the distributed mode is preferred for the SWAT model because parameters for sub-watersheds are calibrated independently. However, existing tools either can only perform calibration in the lump mode by calibrating parameters in identical ways across the whole watershed or perform sequential and cascading calibration. In this study, an open source toolbox named Distributed Model Parameter Optimization Toolbox for the SWAT model (DMPOTSWAT) is developed to perform multisite calibration in both the distributed and lump modes. Other functions including model evaluation with default parameter values, sensitivity analysis, selecting best parameter sets, uncertainty analysis, and visualization of calibration output are also provided. These functions are illustrated with a case study. The development of this new toolbox will facilitate calibrating the SWAT and potentially other hydrologic models in the distributed mode. |
| WOS关键词 | BIOMASS PRODUCTION ; INPUT UNCERTAINTY ; QUALITY MODEL ; VALIDATION ; SIMULATION ; CATCHMENT ; SINGLE ; FLOW |
| 资助项目 | National Natural Science Foundation of China[42077057] ; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)[GML2019ZD0303] |
| WOS研究方向 | Computer Science ; Engineering ; Environmental Sciences & Ecology ; Water Resources |
| 语种 | 英语 |
| 出版者 | ELSEVIER SCI LTD |
| WOS记录号 | WOS:001067366400001 |
| 资助机构 | National Natural Science Foundation of China ; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/198240]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Chen, Liding |
| 作者单位 | 1.Bayer US Crop Sci Div, Environm Exposure Modeling, Regulatory Sci North Amer, Chesterfield, MO 63017 USA 2.Univ Vermont, Dept Comp Sci, Burlington, VT 05405 USA 3.Univ Vermont, Dept Community Dev & Appl Econ, Burlington, VT 05405 USA 4.Univ Vermont, Gund Inst Environm, Burlington, VT 05405 USA 5.Univ Vermont, Vermont EPSCoR, Burlington, VT 05405 USA 6.Univ Corp Atmospher Res, Natl Ctr Atmospher Res, Boulder, CO 80307 USA 7.Purdue Univ, Dept Agr & Biol Engn, W Lafayette, IN 47907 USA 8.Penn State Univ, Dept Agr & Biol Engn, University Pk, PA 16802 USA 9.Southern Marine Sci & Engn Guangdong Lab, Guangzhou 510301, Peoples R China 10.South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Peoples R China |
| 推荐引用方式 GB/T 7714 | Feng, Qingyu,Chen, Liding,Yang, Lei,et al. A distributed model parameter optimization toolbox performing multisite calibration in the lump and distributed mode for the SWAT model[J]. ENVIRONMENTAL MODELLING & SOFTWARE,2023,168:8. |
| APA | Feng, Qingyu.,Chen, Liding.,Yang, Lei.,Yen, Haw.,Wang, Ruoyu.,...&Zia, Asim.(2023).A distributed model parameter optimization toolbox performing multisite calibration in the lump and distributed mode for the SWAT model.ENVIRONMENTAL MODELLING & SOFTWARE,168,8. |
| MLA | Feng, Qingyu,et al."A distributed model parameter optimization toolbox performing multisite calibration in the lump and distributed mode for the SWAT model".ENVIRONMENTAL MODELLING & SOFTWARE 168(2023):8. |
入库方式： OAI收割
来源：地理科学与资源研究所
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