Selection of extreme drought event for Langat Basin and its consequence on salinity intrusion through Langat River System
| Autor: | Zahirul Haque Khan, Abdullah Al Mamun, Morsheda Begum, Mobassarul Hasan |
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| Rok vydání: | 2014 |
| Předmět: | |
| Zdroj: | IOSR Journal of Mechanical and Civil Engineering. 11:62-69 |
| ISSN: | 2278-1684 2320-334X |
| DOI: | 10.9790/1684-11376269 |
| Popis: | Langat River is located in a financial strategic place in Malaysia where a number of industries have been developed over the time. All of them are completely depended on Langat River for water supply and navigation. Besides, the river water is also used for different purposes such as domestic use, agriculture, fisheries etc. Therefore,the quality (salinity level)and quantity ofthe river water is very important for the country from financial point of view and that is why the assessment of salinity level in the river system is essential for severe low flow event such as extreme drought condition. The assessment of salinity intrusion during extreme drought condition requires use of scientifically based and tested state-of-the-art mathematical modelling tools. This paper presents the selection of extreme drought event through Stream Flow Drought Index (SDI) and the assessment of salinity intrusion through Langat River system using such tested modeling tools. Three different models namely Hydrological, Hydrodynamic and Salinity models were developed and calibrated under this study to assess the salinity intrusion through Langat River. The study determines the extreme drought year as 1998 and 2010. All the models were simulated for2009 (an average condition), 1998 (extreme drought), 2010(extreme drought) and no flow from upstream. The results show that the Langat River is not vulnerable for salinity intrusion for any kind of extreme drought event but if there is no flow from upstream 1ppt saline line may intrude more 9km towards upstream. Keyword:Langat River, Stream Flow Drought Index, Mathematical Modelling, Salinity Intrusion |
| Databáze: | OpenAIRE |
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