Prediction of Streamflow of the Anai-Weir Catchment Using Both the SWAT and Mock Models

M. Mera, Siti Hawa Binti Yusmardi, J. Junaidi
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Abstract

This research focuses on predicting the streamflow of the Anai-weir catchment using the SWAT (Soil and Water Assessment Tools) and Mock models. The catchment studied is approximately 34,024 ha wide. The rainfall and climatological data were collected from the three nearest rainfall stations, namely Kandang IV (13.8 km far), Kasang (15.2 km far), and Sicincin Stations (11.2 km far), from 2010 to 2019. The first research methodology is to delineate the catchment, form a Hydrologic Response Unit (HRU), and then enter the climatological data into the SWAT model to estimate the daily streamflow. This daily streamflow is then averaged over a semi-monthly period. The second research methodology is to estimate an evapotranspiration depth based on the climatological data using the Modified Penman method, and then predict the semi-monthly average-daily streamflow using the Mock model. The results obtained from both methods are then compared with the Anai-weir AWLR-data. The average results from each method, namely, the SWAT model, the Mock model, and the AWLR data have the same tendency, but the Mock model results are closer than the SWAT model results to the AWLR data. This indicates that the Mock model is more suitable than the SWAT model for the existing data conditions. Even though the SWAT model considers more variables than the Mock model does.
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基于SWAT和模拟模型的阿奈-魏尔流域流量预测
本研究的重点是利用SWAT(土壤和水评估工具)和模拟模型预测Anai-weir流域的流量。研究的集水区宽度约为34,024公顷。2010 - 2019年的降水和气候数据来自距离最近的3个雨量站,即坎当4号站(距离13.8 km)、卡尚站(距离15.2 km)和泗津站(距离11.2 km)。第一种研究方法是划定流域,形成水文响应单元(HRU),然后将气候数据输入SWAT模型,估算日流量。每天的流量然后是半个月的平均值。第二种研究方法是利用修正的Penman方法在气候资料的基础上估算蒸散发深度,然后利用模拟模型预测半月平均日流量。然后将两种方法得到的结果与Anai-weir awlr数据进行了比较。每种方法的平均结果,即SWAT模型、Mock模型和AWLR数据具有相同的趋势,但Mock模型结果比SWAT模型结果更接近AWLR数据。这表明Mock模型比SWAT模型更适合于现有的数据条件。尽管SWAT模型比Mock模型考虑更多的变量。
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发文量
8
审稿时长
7 weeks
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