| 摘要: |
| 【目的】为数据缺乏地区的生态环境演变、水文与水资源研究寻找可靠的数据来源。【方法】以开都河上游为例，定量评估CMADS数据集多时间尺度精度及其在SWAT模型中的适用性，从2个角度进行精度评估：一是评估CMADS数据集降水量、最高气温和最低气温在开都河上游的表现；二是使用CMADS数据集和地面观测气象数据分别驱动SWAT模型进行模拟精度比较，探究再分析气象数据在数据缺乏地形复杂地区的可替代性。【结果】①CMADS数据集在气温探测上表现优秀，相关性均在0.9以上；逐日降水量的探测表现较差，相关性为0.59，月尺度降水相关性显著提高（CC=0.84），季节尺度降水探测存在波动，夏季表现最好。②CMADS数据集驱动SWAT模型径流模拟结果总体优于地面观测数据径流模拟结果，表明CMADS数据集在水文模型中比传统气象站数据更具优势。③CMADS数据在率定期存在基流高估，对较高的峰值出现低估，较低峰值出现高估的现象；验证期低估峰值、略高估基流。CMADS数据径流模拟存在部分精度不高的情况，但总体符合实际径流量变化。【结论】CMADS数据集在气象数据缺乏地区可以替代地面气象数据用于水文气象研究。 |
| 关键词: CMADS；SWAT；径流模拟；精度评价；开都河 |
| DOI：10.13522/j.cnki.ggps.2022125 |
| 分类号: |
| 基金项目: |
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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 |
