Daily discharge simulation: combining semi-distributed GIS-based and artificial intelligence models
Developing highly accurate semi-distributed rainfall runoff models are still a big challenge in streamflow simulation. In this paper, a new technique using ANN to improve the accuracy of TOPMODEL is presented. TOPMODEL contains three sub-models, which are root storage, gravity storage and saturated...
保存先:
主要な著者: | Ahmed Suliman, Ali H., Katimon, Ayob, Mat Darus, Intan Zaurah |
---|---|
フォーマット: | 論文 |
出版事項: |
Inderscience Publishers
2020
|
主題: | |
オンライン・アクセス: | http://eprints.utm.my/id/eprint/91901/ http://dx.doi.org/10.1504/IJHST.2020.109946 |
タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
類似資料
-
Semi-distributed rainfall-runoff modeling utilizing ASTER DEM in Pinang catchment of Malaysia
著者:: Mat Darus, Intan Zaurah, 等
出版事項: (2014) -
Semi-distributed rainfall-runoff modeling utilizing ASTER DEM
in Pinang catchment of Malaysia
著者:: Ali H. Ahmed Suliman,, 等
出版事項: (2014) -
Comparison of semi-distributed, GIS-based hydrological models for the prediction of streamflow in a large catchment
著者:: Suliman, Ali H. Ahmed, 等
出版事項: (2015) -
Semi-distributed neural network models for streamflow prediction in a small catchment pinang
著者:: Suliman, Ali H. Ahmed, 等
出版事項: (2019) -
Applications of Data-driven Models for Daily Discharge Estimation Based on Different Input Combinations
著者:: Kumar M., 等
出版事項: (2023)