Scholarlink

<p>Mining activities are known to pose significant environmental challenges to the ecosystem. It is on this premise that geospatial techniques were employed to assess the environmental degradation due to mining activities. Vegetation, water, and land surface temperature dynamics were analyzed using appropriate indices across 20&#xa0;years (2002–2022) at five-year intervals. Rainfall and Land Use Land Cover (LULC) analyses were also conducted. Normalized Differential Vegetation Index (NDVI), Soil Adjusted Vegetation Index (SAVI), and Enhanced Vegetation Index (EVI) shows that the mean values of the vegetation indices display the same trend. There was an initial decrease from 2002 to 2007 then a steady increase in vegetation from 2007 to 2017 but decreased from 2017 to 2022. The Modified Normalized Differential Water Index (MNDWI) results for 2012 recorded the lowest mean value of −&#xa0;0.517 while 2022 recorded the highest mean value of 0.423. The negative value of MNDWI in 2002, 2007, 2012 and 2017 show the absence of water bodies. LST values varied with lowest mean value 26.32&#xa0;°C in 2002 and highest mean value 32.71&#xa0;°C in 2022. Fluctuations in Land Surface Temperature (LST) values were observed, with the highest values identified in bare land and developed areas. LULC analysis demonstrated significant changes in land use and cover from 2002 to 2022, primarily driven by anthropogenic activities such as farming, construction, and mining. The lowest and highest land uses were water and vegetation respectively. This study reinforced the versatility and reliability of these indices in monitoring and analyzing changes in water and vegetation cover, providing valuable insights for ecological and environmental studies. It will serve as reference material for effective policy formulation on environmental sustenance and mineral resource conservation.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Spatiotemporal analyses of environmental degradation in mining areas: Atakunmosa West, Osun State, Nigeria

  • 期刊论文

  • 发表日期：

    2025年5月26日

查看全文
  • Ayodele Olumuyiwa Owolabi,
  • Ayorinde Desmond Obamehinti,
  • Sunday Olukayode Oladejo

摘要

Mining activities are known to pose significant environmental challenges to the ecosystem. It is on this premise that geospatial techniques were employed to assess the environmental degradation due to mining activities. Vegetation, water, and land surface temperature dynamics were analyzed using appropriate indices across 20 years (2002–2022) at five-year intervals. Rainfall and Land Use Land Cover (LULC) analyses were also conducted. Normalized Differential Vegetation Index (NDVI), Soil Adjusted Vegetation Index (SAVI), and Enhanced Vegetation Index (EVI) shows that the mean values of the vegetation indices display the same trend. There was an initial decrease from 2002 to 2007 then a steady increase in vegetation from 2007 to 2017 but decreased from 2017 to 2022. The Modified Normalized Differential Water Index (MNDWI) results for 2012 recorded the lowest mean value of − 0.517 while 2022 recorded the highest mean value of 0.423. The negative value of MNDWI in 2002, 2007, 2012 and 2017 show the absence of water bodies. LST values varied with lowest mean value 26.32 °C in 2002 and highest mean value 32.71 °C in 2022. Fluctuations in Land Surface Temperature (LST) values were observed, with the highest values identified in bare land and developed areas. LULC analysis demonstrated significant changes in land use and cover from 2002 to 2022, primarily driven by anthropogenic activities such as farming, construction, and mining. The lowest and highest land uses were water and vegetation respectively. This study reinforced the versatility and reliability of these indices in monitoring and analyzing changes in water and vegetation cover, providing valuable insights for ecological and environmental studies. It will serve as reference material for effective policy formulation on environmental sustenance and mineral resource conservation.