Evaluation of land use land cover changes impacts on water quality at Nerus River using geospatial techniques / Noor Azzatul Najwa Azman
Remote sensing applications in water resources management are necessary in order to determine the water quality, which is very important in solving related problems in future such as risk illness that caused by polluted water. Over the last 10 years, Nerus River was rapidly changing with new develop...
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| フォーマット: | 学位論文 |
| 言語: | English |
| 出版事項: |
2021
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| オンライン･アクセス: | http://ir.uitm.edu.my/id/eprint/44024/1/44024.pdf http://ir.uitm.edu.my/id/eprint/44024/ |
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| 要約: | Remote sensing applications in water resources management are necessary in order to determine the water quality, which is very important in solving related problems in future such as risk illness that caused by polluted water. Over the last 10 years, Nerus River was rapidly changing with new development and affect the water quality along the river. Therefore, in this study geospatial techniques are used effectively because it is combining both Remote Sensing and Geographic Information System. This study was involving certain parameters which are total suspended solid (TSS), pH, dissolve oxygen (DO), ammoniacal nitrogen (NH3-N), chemical oxygen demand (COD) and biochemical oxygen demand (BOD) that helps to obtain water quality index (WQI). In addition, it was carried out to assess the quality of Nerus River at Kuala Terengganu based on the average of two interval months (March and September) for 3 stations along the river. This sample will be used in WQI algorithm to determine the WQI of the Nerus River whether in excellent, good or poor condition. The software that involves to carry out the result is using Erdas Imagine 2014 and ArcMap 10.5. The image satellite that has been used are LANDSAT 7 ETM+ and SPOT 6 to process the data of Nerus River in 2000 and 2013 respectively. The method that used to do the classification for each year is supervised classification. While, method that applied in ArcMap 10.5 to carried out the result is using Inverse Density Weighted (IDW) interpolation. Other than that, Microsoft Excel also been used to calculate the WQI for each station using WQI algorithm. Overall, the result of this study carried out the relationship between Land use land cover (LULC) change and water quality index (WQI). |
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