![](/images/graphics-bg.png)
Uncertainty of Flood Forecasting Based on Radar Rainfall Data Assimilation
المؤلفون المشاركون
Zhang, Liping
Shan, Lijie
Chen, Shaodan
Chen, Xinchi
Gippel, Christopher James
Yang, Wei
المصدر
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-09-26
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
Precipitation is the core data input to hydrological forecasting.
The uncertainty in precipitation forecast data can lead to poor performance of predictive hydrological models.
Radar-based precipitation measurement offers advantages over ground-based measurement in the quantitative estimation of temporal and spatial aspects of precipitation, but errors inherent in this method will still act to reduce the performance.
Using data from White Lotus River of Hubei Province, China, five methods were used to assimilate radar rainfall data transformed from the classified Z - R relationship, and the postassimilation data were compared with precipitation measured by rain gauges.
The five sets of assimilated rainfall data were then used as input to the Xinanjiang model.
The effect of precipitation data input error on runoff simulation was analyzed quantitatively by disturbing the input data using the Breeding of Growing Modes method.
The results of practical application demonstrated that the statistical weight integration and variational assimilation methods were superior.
The corresponding performance in flood hydrograph prediction was also better using the statistical weight integration and variational methods compared to the others.
It was found that the errors of radar rainfall data disturbed by the Breeding of Growing Modes had a tendency to accumulate through the hydrological model.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Chen, Xinchi& Zhang, Liping& Gippel, Christopher James& Shan, Lijie& Chen, Shaodan& Yang, Wei. 2016. Uncertainty of Flood Forecasting Based on Radar Rainfall Data Assimilation. Advances in Meteorology،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1095404
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Chen, Xinchi…[et al.]. Uncertainty of Flood Forecasting Based on Radar Rainfall Data Assimilation. Advances in Meteorology No. 2016 (2016), pp.1-12.
https://search.emarefa.net/detail/BIM-1095404
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Chen, Xinchi& Zhang, Liping& Gippel, Christopher James& Shan, Lijie& Chen, Shaodan& Yang, Wei. Uncertainty of Flood Forecasting Based on Radar Rainfall Data Assimilation. Advances in Meteorology. 2016. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1095404
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1095404
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
![](/images/ebook-kashef.png)
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
![](/images/kashef-image.png)