Impact assessment of rainfall-vegetation on sedimentation and predicting erosion-prone region by GIS and RS

• 主要な著者: Alam, M., Hussain, R.R., Islam, A.B.M.S.
• フォーマット: 論文
• 出版事項: Taylor & Francis Open 2016
• 主題: TA Engineering (General). Civil engineering (General)
• オンライン･アクセス: http://eprints.um.edu.my/18184/; https://doi.org/10.1080/19475705.2014.942387

Water reservoirs are facing universal sedimentation problems worldwide. Land covers, whether natural or manmade, eventually change, and the vegetation cover and rainfall have a great effect on the sediment load. Traditional techniques for analysing this problem are time-consuming and spatially limited. Remote sensing (RS) provides a convenient way to observe land cover changes, and geographic information system (GIS) provides tools for geographic analysis. This study demonstrates a GIS-based methodology for calculating the impact of vegetation and rainfall on the sediment load using remotely sensed data. Moderate resolution imaging spectroradiometer data were used to observe temporal changes in the vegetation-cover area of the watershed surface. The total drainage area for the reservoir was calculated from shuttle radar topographic mission data. The annual rainfall amount was used to compute the annual available rainwater for the watershed, and the impact of the annual available rainwater on the vegetation-covered area was determined. In addition, areas that were adding sedimentation to the reservoir were identified. An inverse relationship between the rainfall and vegetation cover was observed, clearly showing the triggering of erosion.