期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Flood Frequency Analysis of Chenab River for Predicting Peak Flows during Late Monsoon Period
1
作者 Muhammad Atif Butt Atif Ali +7 位作者 Sonia Ijaz Rashid Mehmood Syed Amer Mahmood Ghulam Jaffer Kashif Shafique Asadullah Khan Ghalib Rizwan Waheed Ali Iqtadar Mirza 《Advances in Remote Sensing》 2019年第1期1-29,共29页
The River Chenab is one of the main western rivers of the Indus River system in Pakistan, which undergoes intensive inundation almost every year during the late monsoon period. The present study performs flood frequen... The River Chenab is one of the main western rivers of the Indus River system in Pakistan, which undergoes intensive inundation almost every year during the late monsoon period. The present study performs flood frequency analyses for the river basin as well as simulates different levels of water flow in the system to speculate all kinds of inundation under different scenarios, i.e., to predict flood hazard and flood extended areas. Flood frequency analyses were performed at MARALA Headworks to Khanki Headworks. Data were collected from the Punjab Irrigation Department, Pakistan and from USGS and ASTER GDEM. The peak discharge of MARALA Headworks had been analyzed for 25 years. The preprocessing was performed in HEC Geo-RAS after preprocessing model run in HEC-RAS. After analysis the data were exported in HEC-RAS to ARCMAP to generate a floodplain and inundation map. Our analysis generated the result that different areas would be under water in different return periods. Flood hazards maps for different return periods 10, 20, 50 and 100 years were conducted using annual peaks flow of 35 years from 1980 to 2016. The maximum discharges at up and down stream for different periods were obtained using Gumbel distribution model results which showed that different areas were predicted under water in different return periods and affected areas after five years’ return period. 展开更多
关键词 ASTER GDEM HEC geo-ras ARCMAP Gumbel Distribution Model
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部