ESA CCI Soil Moisture Assimilation in SWAT for Improved Hydrological Simulation in Upper Huai River Basin
المؤلفون المشاركون
Liu, Yuanbo
Liu, Yongwei
Wang, Wen
المصدر
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-06-07
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
The assimilation of satellite soil moisture (SM) products with coarse resolution is promising in improving rainfall-runoff modeling, but it is largely impacted by the data assimilation (DA) strategy.
This study performs the assimilation of a satellite soil moisture product from the European Space Agency (ESA) Climate Change Initiative (CCI) in a physically based semidistributed hydrological model (SWAT) in the upper Huai River basin in China, with the objective to improve its rainfall-runoff simulation.
In this assimilation, the ensemble Kalman filter (EnKF) is adopted with full consideration of the model and observation error, the rescaling technique for satellite SM, and the regional applicability of the hydrological model.
The results show that the ESA CCI SM assimilation generally improves the streamflow simulation of the study catchment.
It is more effective for low-flow simulation, while for very high-flow/large-flood modeling, the DA performance shows uncertainty.
The less-effective performance on large-flood simulation lies in the relatively low dependence of rainfall-runoff generation on the antecedent SM as during which the SM is nearly saturated and the runoff is largely dominated by precipitation.
Besides, the efficiency of DA is deteriorated by the dense forest coverage and the complex topography conditions of the basin.
Overall, the ESA CCI SM assimilation improves the streamflow simulation of the SWAT model in particular for low flow.
This study provides an encouragement for the application of the ESA CCI SM in water management, especially over low-flow periods.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Liu, Yongwei& Wang, Wen& Liu, Yuanbo. 2018. ESA CCI Soil Moisture Assimilation in SWAT for Improved Hydrological Simulation in Upper Huai River Basin. Advances in Meteorology،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1118865
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Liu, Yongwei…[et al.]. ESA CCI Soil Moisture Assimilation in SWAT for Improved Hydrological Simulation in Upper Huai River Basin. Advances in Meteorology No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1118865
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Liu, Yongwei& Wang, Wen& Liu, Yuanbo. ESA CCI Soil Moisture Assimilation in SWAT for Improved Hydrological Simulation in Upper Huai River Basin. Advances in Meteorology. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1118865
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1118865
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر