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Combination of GIS with Different Technologies for Water Quality: An Overview

Nada Jasim Habeeb, Shireen Talib Weli

Abstract


Water is one of the most important requirements in daily life, which represents the largest part of the Earth. As a result, economic, industrial, and social development in most countries has led to increased pollution of water resources. It is, therefore, necessary to monitor water quality continuously to prevent a future catastrophe that adversely affects the quality and quantity of water wealth. A Geographic Information System (GIS) is used in various fields to monitor and analyze data collected from different geographical locations. Integration of GIS and other technologies has become an indispensable tool. This gives us direct control over solution expansion, cost reduction, powerful complex case analysis, as well as increased accuracy and efficiency of geospatial data. In recent years, many combinations of GIS with different technologies such as remote sensing, wireless sensor networks, and internet of things approaches have been proposed due to the rapid progress of technology development in many applications. However, in the last several years, no review articles have been published about water quality using the integration of GIS and other technologies. Therefore, this paper investigates the status of continuous search in the field of GIS and its integration with other technologies (Remote Sensing, Internet of Things, Web, etc.) for water quality management and monitoring to maintain the water resources in a proper way. Finally, the integration of GIS with these technologies creates a powerful platform for analyzing and processing big data and mapping geographic remotely in less time, at a lower cost, at a higher speed, with more accurate details, and in real time when compared to traditional geographic information systems. This paper also highlights future research trends on the cooperation of GIS with other technologies for matters that are related to water quality.

 

Doi: 10.28991/HIJ-2021-02-03-10

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Keywords


GIS; IoT; Remote Sensing; Water Quality Management; Web-GIS.

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DOI: 10.28991/HIJ-2021-02-03-10

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