An approach to select optimum inputs for hydrological modeling to improve simulation accuracy in data-scarce regions
Study region: The source regions of the Yellow River and Yangtze River in the central-eastern part of the Tibetan Plateau. Study focus: Hydrological model is an important tool in the simulation of watershed hydrology. However, as more and more basic geographic data becomes publicly available and sha...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-06-01
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| Series: | Journal of Hydrology: Regional Studies |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214581823001349 |
| _version_ | 1827923288742952960 |
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| author | Jitao Zhou Xiaofeng Wang Jiaohao Ma Zixu Jia Xiaoxue Wang Xinrong Zhang Xiaoming Feng Zechong Sun You Tu Wenjie Yao |
| author_facet | Jitao Zhou Xiaofeng Wang Jiaohao Ma Zixu Jia Xiaoxue Wang Xinrong Zhang Xiaoming Feng Zechong Sun You Tu Wenjie Yao |
| author_sort | Jitao Zhou |
| collection | DOAJ |
| description | Study region: The source regions of the Yellow River and Yangtze River in the central-eastern part of the Tibetan Plateau. Study focus: Hydrological model is an important tool in the simulation of watershed hydrology. However, as more and more basic geographic data becomes publicly available and shared globally, researchers are developing a 'symptom' of difficulty in choosing data, so a systematic comparative analysis for model input data selection is necessary. We tested the effects of different types, sources, and resolutions of input data on the model output results based on the SWAT model, and focused on the mechanism of the role of different input data in the model and how to select an appropriate input data for similar studies. New hydrological insights for the region: The results show that: the meteorological data is crucial in the model's runoff simulation, and ground meteorological observation station data outperforms reanalysis data such as CFSR. Optimizing CFSR significantly improves the model's performance. The DEM resolution minimally impacts runoff simulation, as the difference in results is primarily due to the topographic characteristics of the watershed. DEM selection should consider TWI complexity and its compatibility with the watershed network. The selection of LULC data has little effect on the simulation, and the best input data combination is OBS + 90 m DEM + CNLULC. These findings assist input data selection for similar watersheds using the SWAT model. |
| first_indexed | 2024-03-13T04:55:33Z |
| format | Article |
| id | doaj.art-65596ce70bfd4a17ac6a5c19e2b2bbbb |
| institution | Directory Open Access Journal |
| issn | 2214-5818 |
| language | English |
| last_indexed | 2024-03-13T04:55:33Z |
| publishDate | 2023-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Hydrology: Regional Studies |
| spelling | doaj.art-65596ce70bfd4a17ac6a5c19e2b2bbbb2023-06-18T05:02:08ZengElsevierJournal of Hydrology: Regional Studies2214-58182023-06-0147101447An approach to select optimum inputs for hydrological modeling to improve simulation accuracy in data-scarce regionsJitao Zhou0Xiaofeng Wang1Jiaohao Ma2Zixu Jia3Xiaoxue Wang4Xinrong Zhang5Xiaoming Feng6Zechong Sun7You Tu8Wenjie Yao9School of Land Engineering, Chang’an University, Xi’an 710054, ChinaSchool of Land Engineering, Chang’an University, Xi’an 710054, China; Shaanxi Key Laboratory of Land Engineering, Xi’an 710054, China; Corresponding author at: School of Land Engineering, Chang’an University, Xi’an 710054, China.School of Earth Science and Resources, Chang’an University, Xi’an 710054, ChinaSchool of Earth Science and Resources, Chang’an University, Xi’an 710054, ChinaSchool of Land Engineering, Chang’an University, Xi’an 710054, ChinaSchool of Earth Science and Resources, Chang’an University, Xi’an 710054, ChinaResearch Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Bejing 100085, ChinaSchool of Land Engineering, Chang’an University, Xi’an 710054, ChinaSchool of Earth Science and Resources, Chang’an University, Xi’an 710054, ChinaSchool of Earth Science and Resources, Chang’an University, Xi’an 710054, ChinaStudy region: The source regions of the Yellow River and Yangtze River in the central-eastern part of the Tibetan Plateau. Study focus: Hydrological model is an important tool in the simulation of watershed hydrology. However, as more and more basic geographic data becomes publicly available and shared globally, researchers are developing a 'symptom' of difficulty in choosing data, so a systematic comparative analysis for model input data selection is necessary. We tested the effects of different types, sources, and resolutions of input data on the model output results based on the SWAT model, and focused on the mechanism of the role of different input data in the model and how to select an appropriate input data for similar studies. New hydrological insights for the region: The results show that: the meteorological data is crucial in the model's runoff simulation, and ground meteorological observation station data outperforms reanalysis data such as CFSR. Optimizing CFSR significantly improves the model's performance. The DEM resolution minimally impacts runoff simulation, as the difference in results is primarily due to the topographic characteristics of the watershed. DEM selection should consider TWI complexity and its compatibility with the watershed network. The selection of LULC data has little effect on the simulation, and the best input data combination is OBS + 90 m DEM + CNLULC. These findings assist input data selection for similar watersheds using the SWAT model.http://www.sciencedirect.com/science/article/pii/S2214581823001349SWATDEMLULCMeteorological dataSelectionRunoff simulation |
| spellingShingle | Jitao Zhou Xiaofeng Wang Jiaohao Ma Zixu Jia Xiaoxue Wang Xinrong Zhang Xiaoming Feng Zechong Sun You Tu Wenjie Yao An approach to select optimum inputs for hydrological modeling to improve simulation accuracy in data-scarce regions Journal of Hydrology: Regional Studies SWAT DEM LULC Meteorological data Selection Runoff simulation |
| title | An approach to select optimum inputs for hydrological modeling to improve simulation accuracy in data-scarce regions |
| title_full | An approach to select optimum inputs for hydrological modeling to improve simulation accuracy in data-scarce regions |
| title_fullStr | An approach to select optimum inputs for hydrological modeling to improve simulation accuracy in data-scarce regions |
| title_full_unstemmed | An approach to select optimum inputs for hydrological modeling to improve simulation accuracy in data-scarce regions |
| title_short | An approach to select optimum inputs for hydrological modeling to improve simulation accuracy in data-scarce regions |
| title_sort | approach to select optimum inputs for hydrological modeling to improve simulation accuracy in data scarce regions |
| topic | SWAT DEM LULC Meteorological data Selection Runoff simulation |
| url | http://www.sciencedirect.com/science/article/pii/S2214581823001349 |
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