Impact Analysis of Sanjay Gandhi Thermal Power Station (SGTPS) over the Surrounding Forest Using Remote Sensing and GIS Techniques

Surabhi Soni, Jyoti Sarup
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Abstract

- Dependence on thermal power plants (TPPs) for massive power generation leads to many consequences, such as changes in temperature and increasing pollution levels, which adversely affect human and vegetation health. So, proper maintenance and monitoring of TPPs are crucial, but to accomplish this, the traditional in-situ inspections prove time-consuming, labour-intensive, and financially impractical. This research proposes the application of Remote Sensing (RS) and Geographical Information System (GIS) techniques as powerful tools to mitigate these challenges significantly. This study aims to analyze the impact of the SGTPS and its emitted pollutants on its surrounding forest confined within the two buffer zones by assessing the correlation between various indices (Soil Moisture Index (SMI), Land Surface Temperature (LST), Normalized Difference Vegetation Index (NDVI)), and pollutants (SO 2 , NO x , PM, CO) emitted and changes in forest cover through Land Use and Land Cover (LULC) change detection. The study also seeks to identify the reasons behind the observed variations. Consequently, it aims to offer insightful information that can support evidence-based decision-making and sustainable management techniques for the preservation of the irreplaceable forest ecosystems that border the SGTPS. Despite some observed variations, overall analysis suggests that the studied SGTPS has minimal impact on forest health, likely due to adherence to regulations and pollution mitigation efforts. Similar assessments nationwide could ensure sustainable energy production while meeting environmental standards.
利用遥感和地理信息系统技术分析桑贾伊-甘地热电站(SGTPS)对周围森林的影响
- 依赖火力发电厂(TPPs)进行大规模发电会导致许多后果,如温度变化和污染程度增加,从而对人类和植被健康造成不利影响。因此,对火力发电厂进行适当的维护和监测至关重要,但要实现这一目标,传统的现场检查证明耗时、耗力且不切实际。本研究建议将遥感 (RS) 和地理信息系统 (GIS) 技术作为有力工具加以应用,以大大缓解这些挑战。本研究旨在通过土地利用和土地覆被 (LULC) 变化检测,评估各种指数(土壤水分指数 (SMI)、地表温度 (LST)、归一化差异植被指数 (NDVI))与污染物(二氧化硫 (SO 2)、氮氧化物 (NO x)、可吸入颗粒物 (PM)、一氧化碳 (CO))排放之间的相关性,分析 SGTPS 及其排放的污染物对两个缓冲区内周围森林的影响。研究还试图找出观测到的变化背后的原因。因此,该研究旨在提供有见地的信息,以支持循证决策和可持续管理技术,从而保护 SGTPS 边界不可替代的森林生态系统。尽管观察到了一些差异,但总体分析表明,所研究的 SGTPS 对森林健康的影响很小,这可能是由于遵守法规和努力减少污染所致。在全国范围内开展类似的评估可确保在满足环境标准的同时实现可持续能源生产。
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