Titlebook: ISFRAM 2015; Proceedings of the I Wardah Tahir,Prof Ir Dr Sahol Hamid Abu Bakar,Wei Conference proceedings 2016 Springer Science+Business

次要

书目名称ISFRAM 2015影响因子(影响力)




书目名称ISFRAM 2015影响因子(影响力)学科排名




书目名称ISFRAM 2015网络公开度




书目名称ISFRAM 2015网络公开度学科排名




书目名称ISFRAM 2015被引频次




书目名称ISFRAM 2015被引频次学科排名




书目名称ISFRAM 2015年度引用




书目名称ISFRAM 2015年度引用学科排名




书目名称ISFRAM 2015读者反馈




书目名称ISFRAM 2015读者反馈学科排名

使高兴

通情达理

TOM

脱离

Identification of Vulnerable Regions for TNB’s Electric Substations during Flood in Peninsular Malay An integration of TNB’s substation maps performed with FIM and FHM due to identify substations which are in flood-prone regions. Generally, result shows that Kelantan is classified as the highest flood-prone region for TNB’s infrastructures especially for PMU which they are affected by flood. Kelan

生来

枕垫

Modeling Optimal Water Allocation by Managing the Demands in Selangors for the state of Selangor. Such detailed simulation and inclusion of previously unaccounted for factors can help to create awareness of potential future problems, inform water practices, and suggest management alternatives. Results show that with the groundwater as an alternative resource and prop

TAIN

Sediment Load Distribution Analysis of Langat River Basin, Selangorw into Langat River is 5267.73 ton/km./year. Distributions of sediment grain size in upstream of Langat River consist of very rough sediment grains, showing a possibility of logging and deforestation activities within the catchment area. Hence, a long-term preventive measure such as environmental po

辫子带来帮助

Comparison of a Hybrid Neural Network and Semi-distributed Simulator for Stream Flow Prediction relative errors such as Nash-Sutcliffe efficiency and percent of bias during model validation. Other error indicates, namely root mean square error (RMSE), mean square error, and mean relative error (MRE), were found close to zero for SWAT during both model calibration and validation. The study sug

下船