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284380

Monitoring and assessing the quality of water in lake Edku using the Remote sensing technology and the Geographic information system (GIS)

Article

Last updated: 04 Jan 2025

Subjects

-

Tags

Aquatic science

Abstract

Egyptian Northern Lakes are highly dynamic aquatic systems that have undergone considerable physical, chemical, and biological changes during the past century. Using Data Fusion Techniques of Remote sensing data and Geographic Information Systems can be used to detect, monitor and evaluate changes in ecosystems and develop management strategies for maintaining the lake's resources. Coastal lakes in the Mediterranean region constitute a major aquatic Resource. Northern Egyptian lakes are all impacted by a variety of environmental change processes, but direct human activities have had the greatest effect during the 20th Century. Using different satellite images from 1973 to 2018 for monitoring and assessing the pollution problem of Lake Edku by mapping water properties (water transparency, salinity, PH, TSM, Phosphors), Lake Eutrophication (Nitrites, Nitrates, Ammonia, Water Organic Matter), Heavy Metals (Cadmium, Chromium, Copper, Iron, Nickel), also mapping the sediment parameters (PH, TDS, OM, Fe, Cd, Pb, Cr, Ni), all of this for monitor and analyzing the Water Quality of Lake Edku in 2019 to study its ecology and estimating the spatial-temporal changes occurred in the both water body of the Lake. By comparing the study results with other previous results, it was found that the percentage of some elements as Cadmium, Nickel, increased, while others appeared as Chromium, Ammonia, and Iron, where the percentage of Copper and PH was within the range.

DOI

10.21608/asfr.2023.177137.1028

Keywords

Monitoring, Remote Sensing, Geographic Information Systems, water quality

Authors

First Name

Heba

Last Name

Ahmed

MiddleName

Abdelmoteleb

Affiliation

Faculty of Environmental Studies, Ain Shams University, Cairo, Egypt

Email

motelebheba@gmail.com

City

Cairo

Orcid

-

Volume

4

Article Issue

1

Related Issue

39055

Issue Date

2023-06-01

Receive Date

2022-11-26

Publish Date

2023-06-01

Page Start

29

Page End

39

Print ISSN

2682-4086

Online ISSN

2682-4108

Link

https://asfr.journals.ekb.eg/article_284380.html

Detail API

https://asfr.journals.ekb.eg/service?article_code=284380

Order

284,380

Type

Original Article

Type Code

1,146

Publication Type

Journal

Publication Title

Aquatic Science and Fish Resources (ASFR)

Publication Link

https://asfr.journals.ekb.eg/

MainTitle

Monitoring and assessing the quality of water in lake Edku using the Remote sensing technology and the Geographic information system (GIS)

Details

Type

Article

Created At

25 Dec 2024