Long-Term Simulation of Daily Streamflow Using Radar Rainfall and the SWAT Model: A Case Study of the Gamcheon Basin of the Nakdong River, Korea
المؤلفون المشاركون
Lee, Jongso
Noh, Huiseong
Kang, Narae
Kim, Soojun
Kim, Hung Soo
Lee, Dong Ryul
المصدر
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-08-24
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
In recent years, with the increasing need for improving the accuracy of hydrometeorological data, interests in rain-radar are also increasing.
Accordingly, with high spatiotemporal resolution of rain-radar rainfall data and increasing accumulated data, the application scope of rain-radar rainfall data into hydrological fields is expanding.
To evaluate the hydrological applicability of rain-radar rainfall data depending on the characteristics of hydrological model, this study applied Rgauge and Rradar to a SWAT model in the Gamcheon stream basin of the Nakdong River and analyzed the effect of rainfall data on daily streamflow simulation.
The daily rainfall data for Rgauge, RZ, and RKDP were utilized as input data for the SWAT model.
As a result of the daily runoff simulation for analysis periods using RZ(P) and RKDP(P), the simulation which utilized Rgauge reflected the rainfall-runoff characteristics better than the simulations which applied RZ(P) or RKDP(P).
However, in the rainy or wet season, the simulations which utilized RZ(P) or RKDP(P) were similar to or better than the simulation that applied Rgauge.
This study reveals that analysis results and degree of accuracy depend significantly on rainfall characteristics (rainy season and dry season) and QPE algorithms when conducting a runoff simulation with radar.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Noh, Huiseong& Lee, Jongso& Kang, Narae& Lee, Dong Ryul& Kim, Hung Soo& Kim, Soojun. 2016. Long-Term Simulation of Daily Streamflow Using Radar Rainfall and the SWAT Model: A Case Study of the Gamcheon Basin of the Nakdong River, Korea. Advances in Meteorology،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1095395
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Noh, Huiseong…[et al.]. Long-Term Simulation of Daily Streamflow Using Radar Rainfall and the SWAT Model: A Case Study of the Gamcheon Basin of the Nakdong River, Korea. Advances in Meteorology No. 2016 (2016), pp.1-12.
https://search.emarefa.net/detail/BIM-1095395
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Noh, Huiseong& Lee, Jongso& Kang, Narae& Lee, Dong Ryul& Kim, Hung Soo& Kim, Soojun. Long-Term Simulation of Daily Streamflow Using Radar Rainfall and the SWAT Model: A Case Study of the Gamcheon Basin of the Nakdong River, Korea. Advances in Meteorology. 2016. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1095395
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1095395
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