1 AIT Asian Institute of Technology

Meteorological drought assessment for Mongkol Borey River Basin, Cambodia

AuthorTan Soran
Call NumberAIT Thesis no.WM-19-18
Subject(s)Droughts--Cambodia--Mongkol Borey River Basin
Droughts--Decision making

NoteA research study submitted in partial fulfillment of the requirements for the degree of Master of Science in Water Engineering and Management
PublisherAsian Institute of Technology
AbstractCambodia is a developing country which development and economic of the country depends mostly on agriculture production. Cambodia is one of a major rice exporter in the world’s market. Tonle Sap basin cover about 44% of the country. Rice production in the Tonle Sap basin is a main driver for national economic social development. Due to natural variability and climate change, many forms of the natural disaster such as drought, flood and heavy storm have occurred in the Tonle Sap basin. Over a decade, drought have been noticed due to decrease of rainfall amount in the country. The Royal Government of Cambodia (RCG), has implemented the “Rectangular Strategies” policy to support and enhance the agricultural management and adaptation. The Mongkol Borey river basin, one of the Tonle Sap’s 11 basins and one of a major rice production area, was selected as a study area. The period of the study was from 1985 to 2008. Since drought is a slowly evolving natural disaster, its negative impacts can be mitigated through monitoring and characterizing drought levels by assimilating data from one or several indicators into a single numerical index. The single numerical index is more readily usable than raw indicator data. Standardize Precipitation Index (SPI) is employed for assessing the meteorological drought for Mongkol Borey river basin. The index was used to explore the drought frequency, severity, duration, intensity, and spatial distribution over the Mongkol Borey river basin. The result of meteorological drought assessment using the SPI indicated that Pailin station was the most drought prone area when compare to other stations. Furthermore, the drought characteristics used in this study are DE, DD, DS, and DI which refer to the drought event, drought duration, drought severity, and drought intensity, accordingly. The drought was found heavily impacted in the Thmar Kol and Svay Leu as the highest DE, DI and the most severe DS and the longest length of drought duration were found in the Pailin station at most of time scales. Furthermore, Pailin station seem to have highest probability to have return period of over 20 years. While, the other stations found insignificant with lower chances of return period over 20 years.
Year2019
TypeThesis
SchoolSchool of Engineering and Technology (SET)
DepartmentDepartment of Civil and Infrastucture Engineering (DCIE)
Academic Program/FoSWater Engineering and Management (WM)
Chairperson(s)Tawatchai Tingsanchali;
Examination Committee(s)Shrestha, Sangam;Ekasit Kositsakulchai;
DegreeThesis (M.Eng.) - Asian Institute of Technology, 2019


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