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| DOI：10.13522/j.cnki.ggps.2022125 |
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| Application of CMADS Dataset for Simulating Hydrological Processes in Upper Reach of the Kaidu River |
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CHEN Shixue, YUSUFUJIANG·Rusuli
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1. College of geography and tourism, Xinjiang Normal University, Urumqi 8300054, China;
2. Key laboratory of Lake Environment and resources in arid areas of Xinjiang, Urumqi 830054, China
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| Abstract: |
| 【Objective】The China meteorological assimilation driving datasets is a database built up over the past decades specifically for application to the SWAT model (CMADS) in data-poor regions. This paper studies its application in upper reach of the Kaidu river in Northwestern China. 【Method】 We assessed two aspects. The first one is to assess the performance of the CMADS dataset in terms of estimating precipitation, maximum and minimum temperatures. The second is to compare the simulated results using the CMADS dataset and ground-true meteorological data.【Result】①The CMADS dataset is accurate for estimating temperature with its correlation with ground-true data being more than 0.9, but is less accurate for estimating daily precipitation, with its correlation with ground-truth data being 0.59. However, the correlation between calculated and measured monthly precipitations was high, reaching 0.84. ②The simulated runoff using SWAT combined with CMADS dataset was in general more accurate than the results simulated using SWAT combined with the ground-truth data, indicating that, for regional hydrological modelling, CMADS dataset is more accurate than point-measured data. ③Using the CMADS overestimated the baseflow and the lowest flow and underestimate the peak flow in model calibration stage, while underestimated the peak flow and overestimated baseflow slightly in model validation stage. In general, the runoff calculated using the CMADS was acceptable, except in a few extreme cases.【Conclusion】Testing the CMADS dataset against the upper reach of Kaidu river basin shows it is accurate and reliable. It can be used to simulate hydrological processes in regions short of measured meteorological data. |
| Key words: CMADS; SWAT; simulation of runoff; accuracy evaluation; Kaidu River |
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