利用大地遥感卫星数据对叙利亚沿海水域巴尼亚斯发电厂热污染进行长期监测

IF 3.8 Q2 ENVIRONMENTAL SCIENCES Remote Sensing Applications-Society and Environment Pub Date : 2024-07-02 DOI:10.1016/j.rsase.2024.101287
Assem Khatib , Badr Al-Araj , Zeina Salhab
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引用次数: 0

摘要

沿海水域发电厂的热排放可能会严重影响海洋水生环境。如今,遥感数据被认为是监测发电厂热污染的主要来源之一。本研究定量评估了检索到的 Landsat/TIRS 海洋表面温度(SST)的准确性,并有效利用 Landsat 档案数据监测叙利亚沿海水域巴尼亚斯热电厂(TTP)从 1984 年到 2023 年 40 年的热污染情况。结果表明,Landsat/TIRS 获取的 SST 值与原地测量的 SST 值之间具有很强的线性相关性,均方根误差为 0.84°C,这表明利用 Landsat 数据监测热污染具有很高的有效性。结果还显示,受热污染影响的平均面积为 34 公顷,热污染水平平均为 2.9 ℃。按照形成和增长(1984-1992 年)、稳定(1993-2011 年)和下降(2012-2023 年)三个阶段分析了整个时期的热污染变化。热污染年度专题地图显示,热污染水平从巴尼亚斯热电站出口向开阔水域逐渐下降,离岸距离不超过 2 公里。巴尼亚斯热电站的运行能力对热污染水平和区域都有影响。热污染的空间模式与地中海东岸的表层流一致。本研究提出的方法可有效用于利用卫星遥感数据监测热污染。本研究绘制的专题地图可作为研究热污染水平对水生生物影响的取样依据,进而制定叙利亚热污染允许值的环境规范。
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Long-term monitoring of thermal pollution from Baniyas power plant in the Syrian coastal water using Landsat data

Thermal Discharge from power plants in coastal waters may significantly influence the aquatic marine environment. Today, remotely sensing data is considered one of the primary sources to monitor the thermal pollution of power plants. This research quantitatively assesses the accuracy of retrieved Landsat/TIRS Sea Surface Temperature (SST) and effectively uses archival Landsat data to monitor the thermal pollution from Baniyas Thermal Power Plant (TTP) in the Syrian coastal water for 40 years from 1984 to 2023. The results show a strong linear correlation between Landsat/TIRS retrieved and in-situ measured SST values with an RMS error of 0.84 °C, which indicates the high effectiveness of using Landsat data in monitoring thermal pollution. The results also show that the average area affected by thermal pollution was 34 ha, and the thermal pollution level average was 2.9 °C. Thermal pollution changes in the entire period were analyzed according to three phases: formation and growth (1984–1992), stability (1993–2011), and decline (2012–2023). The annual thematic maps of thermal pollution show that the thermal pollution levels gradually decreased from the Baniyas TPP outlet towards open water and did not exceed a distance of 2 km offshore. The operational capacity of Baniyas TPP exhibited an influence on both thermal pollution levels and areas. The thermal pollution spatial pattern was consistent with the surface currents on the eastern coast of the Mediterranean Sea. The methodology produced in this research could be used effectively to monitor thermal pollution using satellite remote sensing data. The thematic maps developed in this study could be used as a basis for sampling to study the effect of thermal pollution levels on aquatic organisms and then develop environmental norms in Syria about the permissible values of thermal pollution.

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来源期刊
CiteScore
8.00
自引率
8.50%
发文量
204
审稿时长
65 days
期刊介绍: The journal ''Remote Sensing Applications: Society and Environment'' (RSASE) focuses on remote sensing studies that address specific topics with an emphasis on environmental and societal issues - regional / local studies with global significance. Subjects are encouraged to have an interdisciplinary approach and include, but are not limited by: " -Global and climate change studies addressing the impact of increasing concentrations of greenhouse gases, CO2 emission, carbon balance and carbon mitigation, energy system on social and environmental systems -Ecological and environmental issues including biodiversity, ecosystem dynamics, land degradation, atmospheric and water pollution, urban footprint, ecosystem management and natural hazards (e.g. earthquakes, typhoons, floods, landslides) -Natural resource studies including land-use in general, biomass estimation, forests, agricultural land, plantation, soils, coral reefs, wetland and water resources -Agriculture, food production systems and food security outcomes -Socio-economic issues including urban systems, urban growth, public health, epidemics, land-use transition and land use conflicts -Oceanography and coastal zone studies, including sea level rise projections, coastlines changes and the ocean-land interface -Regional challenges for remote sensing application techniques, monitoring and analysis, such as cloud screening and atmospheric correction for tropical regions -Interdisciplinary studies combining remote sensing, household survey data, field measurements and models to address environmental, societal and sustainability issues -Quantitative and qualitative analysis that documents the impact of using remote sensing studies in social, political, environmental or economic systems
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