التفاصيل البيبلوغرافية
| العنوان: |
Improving water supply outlooks in Korea with ensemble streamflow prediction |
| المؤلفون: |
Kim, Young-Oh, Jeong, Dae-II, Kim, Hyoung-Seop |
| المساهمون: |
김영오, 정대일, 김형섭 |
| بيانات النشر: |
Iwra International Water Resources Association |
| سنة النشر: |
2001 |
| المجموعة: |
Seoul National University: S-Space |
| مصطلحات موضوعية: |
Ensemble streamflow prediction, water supply outlook, rainfall-runoff model, probabilistic runoff forecasting |
| الوصف: |
The purpose of this study is to propose an alternative forecasting approach for improving the current water supply outlook in Korea. Using a rainfall-runoff model, the existing technique for the water supply outlook in Korea produces monthly low, average, and high runoff forecasts. The proposed technique is called Ensemble Streamflow Prediction (ESP), and is currently implemented by the National Weather Service in the U.S.A. ESP appears particularly valid in Korea where the historical rainfall record is much more comprehensive than the historical streamflow record. This study applies ESP to runoff forecasting for a river basin in Korea to examine its applicability. An ensemble of one-month ahead runoff forecasts at the Gongju gauging station in the Keum River basin, Korea, was generated for each month. The resulting ESP forecasts were compared with the corresponding observed runoff data as well as the existing forecasts. Although this study is limited to one case study, the following conclusions can be made: (1) the ESP technique dominates the existing forecasting techniques in terms of both systematic and random errors; and (2) ESP is more accurate when high flows occur. |
| نوع الوثيقة: |
article in journal/newspaper |
| اللغة: |
English |
| تدمد: |
0250-8060 |
| Relation: |
Water International 26, No.4: 563-568; http://hdl.handle.net/10371/67630 |
| الاتاحة: |
http://hdl.handle.net/10371/67630 |
| رقم الانضمام: |
edsbas.EFF20328 |
| قاعدة البيانات: |
BASE |