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Long-Term Water Quality Monitoring: Using Satellite Images for Temporal and Spatial Monitoring of Thermal Pollution in Water Resources

Author

Listed:
  • Reza Naimaee

    (School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran 1439957131, Iran)

  • Abbas Kiani

    (Department of Geomatics, Faculty of Civil Engineering, Babol Noshirvani University of Technology, Babol 4714871167, Iran)

  • Sina Jarahizadeh

    (Department of Environmental Resources Engineering, State University of New York College of Environmental Science and Forestry (SUNY ESF), 1 Forestry Dr., Syracuse, NY 13210, USA)

  • Seyed Babak Haji Seyed Asadollah

    (Department of Environmental Resources Engineering, State University of New York College of Environmental Science and Forestry (SUNY ESF), 1 Forestry Dr., Syracuse, NY 13210, USA
    Department of Civil Engineering, University of Alicante, 03690 Alicante, Spain)

  • Pablo Melgarejo

    (Centro de Investigación e Innovación Agroalimentaria y Agroambiental (CIAGRO-UMH), Miguel Hernandez University, 03312 Orihuela, Spain)

  • Antonio Jodar-Abellan

    (Department of Civil Engineering, University of Alicante, 03690 Alicante, Spain
    Centro de Investigación e Innovación Agroalimentaria y Agroambiental (CIAGRO-UMH), Miguel Hernandez University, 03312 Orihuela, Spain)

Abstract

Thermal pollution reduces water quality through any process that leads to a change in the water’s ambient temperature. Karun is one of the most relevant sources of water supply in Iran, and its pollution, created by industrial, urban, and agricultural issues, has been one of the most critical challenges throughout the last few years. As the water temperature rises, the amount of dissolved oxygen in it decreases, thereby affecting the entire ecosystem associated with it. Drainage of urban and industrial runoff into surface water sources can increase the water temperature. Dams also constitute a significant part, modifying spatial patterns of temperature along river routes and causing thermal contamination. In this paper, the thermal pollution of the Karun River was assessed, and regions along this river with unusually raised water temperatures were identified and compared over 20 years. By analyzing the results, it can be found that the thermal pollution from dams has a significant impact on the downstream river environment and ecology that is considerably relevant during summer periods, showing average decreases of 3 degrees Celsius immediately beyond the dams’ locations (from 41 degrees Celsius upstream dams to 38 degrees Celsius beyond them) or even bigger (reductions of 13 degrees Celsius in one of the studied dams). Hence, our results showed that water temperature is colder downstream in the hot seasons of the year than upstream of the dams. The results suggest that the usage of remote sensing data effectively could complement collected data from ground-based sensors to estimate water temperature and to identify pollution areas. It provides experts with spatially extensive and highly synchronized data.

Suggested Citation

  • Reza Naimaee & Abbas Kiani & Sina Jarahizadeh & Seyed Babak Haji Seyed Asadollah & Pablo Melgarejo & Antonio Jodar-Abellan, 2024. "Long-Term Water Quality Monitoring: Using Satellite Images for Temporal and Spatial Monitoring of Thermal Pollution in Water Resources," Sustainability, MDPI, vol. 16(2), pages 1-20, January.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:2:p:646-:d:1317373
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    References listed on IDEAS

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    1. Asadollah, Seyed Babak Haji Seyed & Jodar-Abellan, Antonio & Pardo, Miguel Ángel, 2024. "Optimizing machine learning for agricultural productivity: A novel approach with RScv and remote sensing data over Europe," Agricultural Systems, Elsevier, vol. 218(C).

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