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 หัวเรื่อง:ไม่มีชื่อไทย (ชื่ออังกฤษ : Simulation of Sediment Yield using SWAT Model in Fincha Watershed, Ethiopia) ผู้เขียน: Abdi Boru Ayana, Desalegn Chemeda Edossa,  ดร.เอกสิทธิ์ โฆสิตสกุลชัย, รองศาสตราจารย์ สื่อสิ่งพิมพ์:pdf AbstractThe soil and water assessment tool (SWAT) model was applied to simulate the sediment yield from the Fincha watershed (area 3,251 km2), located in Western Oromiya Regional State, Ethiopia. The purpose of the study was to examine the applicability of the SWAT model in a watershed with a high sediment runoff modulus. The automated calibration process was used to calibrate the model parameters using time series data from 1987 to 1996. Data from 1997 to 2006 were used to validate the model using the input parameter set. Time series plots and the statistical measures of coefficient of determination (R2) and Nash-Sutcliffe efficiency (ENS) were used to evaluate the performance of the model. The predicted and observed sediment yields generally matched well. The results of the model calibration and validation showed reliable estimates of monthly sediment yield with R2 = 0.82 and ENS = 0.80 during the calibration period and R2 = 0.80 and ENS = 0.78 during the validation period. This study showed that the SWAT model is capable of predicting sediment yields and hence can be used as a tool for water resources planning and management in the study watershed. |
หัวเรื่อง:ไม่มีชื่อไทย (ชื่ออังกฤษ : Land Use Change Analysis Using Remote Sensing and Markov Modeling in Fincha Watershed, Ethiopia) ผู้เขียน:Abdi Boru Ayana, ดร.เอกสิทธิ์ โฆสิตสกุลชัย, รองศาสตราจารย์ สื่อสิ่งพิมพ์:pdf AbstractThis study assessed land use and land cover change in the Fincha watershed located in Oromiya Regional State, Ethiopia, between 1985 and 2005 using the technologies of remote sensing and Markov modeling. The results indicated that agricultural land and water bodies have increased in area by 60,606 (53.59%) and 19,184 ha (93.10%), respectively. During this period, tremendous losses in forest, grazing land, swamp area and shrub lands were observed by as much as 36,225 (50.48%), 17,376 (31.23%), 19,948 (51.37%) and 6,240 ha (24.81%), respectively. During the study period, the land use and land cover change process showed no sign of being stable. The use of satellite remote sensing and Markov modeling was found to be beneficial in describing and analyzing the direction, rate and spatial pattern of land use and land cover change. |
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