SURFACE WATER QUALITY ASSESSMENT BY REMOTE SENSING

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The appearance of various pollutants in water bodies can affect both surface water quality and aquatic life. Surface water quality researchers are confronted with significant challenges in properly assessing surface water quality to provide a suitable treatment to water bodies in a cost-effective manner. Conventional surface water quality assessment methods are widely performed using laboratory analysis, which are labor acute, costly, and time-consuming. Moreover, these methods can only provide individual concentrations of surface water quality parameters (SWQPs), measured at monitoring stations and shown in a considerate point format, which are difficult for decision-makers to grasp without providing the overall patterns of surface water quality. In a variation, remote sensing has shown significant benefits over conventional methods because of its low cost, spatial continuity, and temporal consistency. Thus, exploring the potential of using remotely sensed data for surface water quality assessment is important for rectifying the efficiency of surface water quality evaluation and water body treatment.

Autorentext

Aayushi Panchal, ambientalista. He hecho un máster en Ciencias Ambientales en la Universidad de Gujarat. Como ambientalista, mi interés es también conocer y compartir mis aprendizajes y experiencia en mi campo. DR. Chirag. Shah trabaja como profesor asistente en la universidad de ciencias del gobierno, Gujarat, India. Tiene 12 años de experiencia en la enseñanza.

Weitere Informationen

  • Allgemeine Informationen
    • Sprache Englisch
    • Herausgeber LAP LAMBERT Academic Publishing
    • Gewicht 131g
    • Untertitel Assessment of River- Sabarmati, Gujarat.
    • Autor Aayushi Panchal , Chirag Shah
    • Titel SURFACE WATER QUALITY ASSESSMENT BY REMOTE SENSING
    • Veröffentlichung 25.06.2021
    • ISBN 6203926167
    • Format Kartonierter Einband
    • EAN 9786203926163
    • Jahr 2021
    • Größe H220mm x B150mm x T5mm
    • Anzahl Seiten 76
    • GTIN 09786203926163

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