Estimation of Cadmium Contamination in Different Restoration Scenarios by RUSLE Model
The Mae Tao watershed of Thailand faced cadmium (Cd) contamination problems from zinc mining for a long time until the mining area was closed to decrease the level of Cd concentration. This study reproduced the possible scenarios of Cd contamination due to soil loss. Four...
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doaj-d055474ca2664473821b57e33bb09ebf2020-11-25T03:23:25ZengMahidol UniversityEnvironment and Natural Resources Journal1686-54562408-23842020-08-0118437638610.32526/ennrj.18.4.2020.36Estimation of Cadmium Contamination in Different Restoration Scenarios by RUSLE ModelArisara Charoenpanyanet0Panlop Huttagosol1Department of Geography, Faculty of Social Sciences, Chiang Mai University, Chiang Mai 50200, ThailandDepartment of Mining and Petroleum Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, ThailandThe Mae Tao watershed of Thailand faced cadmium (Cd) contamination problems from zinc mining for a long time until the mining area was closed to decrease the level of Cd concentration. This study reproduced the possible scenarios of Cd contamination due to soil loss. Four scenarios of forest restoration were implemented in this study, all of which were calculated with the Revised Universal Soil Loss Equation (RUSLE) integrated with satellite imagery and Geographic Information Systems (GIS). Landsat 8-OLI was acquired and land use/land cover (LULC) was classified in each scenario. Soil loss maps were created. An inverse distance weighting (IDW) technique was used to estimate the concentration of Cd based on the field data consisting of 101 points of measured Cd concentration. Results from RUSLE model and IDW technique were combined to calculate Cd contamination due to soil loss for all four scenarios. Results showed that the restoration of Scenario 3, forest restoration in old and new mining areas in cooperation with reservoir construction, helped decrease Cd contamination the most.The lowest level of Cd contamination from soil loss was found in this scenario by about 156 ha (total of Cd contamination by 165,924.32 ton/year).https://ph02.tci-thaijo.org/index.php/ennrj/article/view/240621/164221rusle modelsoil losscadmium contaminationforest restorationmae tao watershed |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Arisara Charoenpanyanet Panlop Huttagosol |
spellingShingle |
Arisara Charoenpanyanet Panlop Huttagosol Estimation of Cadmium Contamination in Different Restoration Scenarios by RUSLE Model Environment and Natural Resources Journal rusle model soil loss cadmium contamination forest restoration mae tao watershed |
author_facet |
Arisara Charoenpanyanet Panlop Huttagosol |
author_sort |
Arisara Charoenpanyanet |
title |
Estimation of Cadmium Contamination in Different Restoration Scenarios by RUSLE Model |
title_short |
Estimation of Cadmium Contamination in Different Restoration Scenarios by RUSLE Model |
title_full |
Estimation of Cadmium Contamination in Different Restoration Scenarios by RUSLE Model |
title_fullStr |
Estimation of Cadmium Contamination in Different Restoration Scenarios by RUSLE Model |
title_full_unstemmed |
Estimation of Cadmium Contamination in Different Restoration Scenarios by RUSLE Model |
title_sort |
estimation of cadmium contamination in different restoration scenarios by rusle model |
publisher |
Mahidol University |
series |
Environment and Natural Resources Journal |
issn |
1686-5456 2408-2384 |
publishDate |
2020-08-01 |
description |
The Mae Tao watershed of Thailand faced cadmium (Cd) contamination problems from zinc mining for a long time until the mining area was closed to decrease the level of Cd concentration. This study reproduced the possible scenarios of Cd contamination due to soil loss. Four scenarios of forest restoration were implemented in this study, all of which were calculated with the Revised Universal Soil Loss Equation (RUSLE) integrated with satellite imagery and Geographic Information Systems (GIS). Landsat 8-OLI was acquired and land use/land cover (LULC) was classified in each scenario. Soil loss maps were created. An inverse distance weighting (IDW) technique was used to estimate the concentration of Cd based on the field data consisting of 101 points of measured Cd concentration. Results from RUSLE model and IDW technique were combined to calculate Cd contamination due to soil loss for all four scenarios. Results showed that the restoration of Scenario 3, forest restoration in old and new mining areas in cooperation with reservoir construction, helped decrease Cd contamination the most.The lowest level of Cd contamination from soil loss was found in this scenario by about 156 ha (total of Cd contamination by 165,924.32 ton/year). |
topic |
rusle model soil loss cadmium contamination forest restoration mae tao watershed |
url |
https://ph02.tci-thaijo.org/index.php/ennrj/article/view/240621/164221 |
work_keys_str_mv |
AT arisaracharoenpanyanet estimationofcadmiumcontaminationindifferentrestorationscenariosbyruslemodel AT panlophuttagosol estimationofcadmiumcontaminationindifferentrestorationscenariosbyruslemodel |
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1724606465879048192 |