Open Journal of Civil Engineering

Volume 4, Issue 4 (December 2014)

ISSN Print: 2164-3164   ISSN Online: 2164-3172

Google-based Impact Factor: 1.16  Citations  

Using GIS for Time Series Analysis of the Dead Sea from Remotely Sensing Data

HTML  XML Download Download as PDF (Size: 3833KB)  PP. 386-396  
DOI: 10.4236/ojce.2014.44033    6,050 Downloads   8,089 Views  Citations

ABSTRACT

Developed tools of Remote Sensing and Geographic Information System are rapidly spread in recent years in order to manage natural resources and to monitor environmental changes. This research aims to study the spatial behavior of the Dead Sea through time. To achieve this aim, time series analysis has been performed to track this behavior. For this purpose, fifteen satellite imageries are collected from 1972 to 2013 in addition to 2011-ASTGTM-DEM. Then, the satellite imageries are radiometrically and atmospherically corrected. Geographic Information system and Remote Sensing techniques are used for the spatio-temporal analysis in order to detect changes in the Dead Sea area, shape, water level, and volume. The study shows that the Dead Sea shrinks by 2.9 km2/year while the water level decreases by 0.65 m/year. Consequently, the volume changes by 0.42 km3/year. The study has also concluded that the direction of this shrinkage is from the north, northwest and from the south direction of the northern part due to the nature of the bathymetric slopes. In contrast, no shrinkage is detected from the east direction due to the same reason since the bathymetric slope is so sharp. The use of the Dead Sea water for industrial purposes by both Israel and Jordan is one of the essential factors that affect the area of the Dead Sea. The intensive human water consumption from the Jordan and Yarmouk Rivers for other usages is another main reason of this shrinkage in the area as well.

Share and Cite:

El-Hallaq, M. and Habboub, M. (2014) Using GIS for Time Series Analysis of the Dead Sea from Remotely Sensing Data. Open Journal of Civil Engineering, 4, 386-396. doi: 10.4236/ojce.2014.44033.

Cited by

[1] Assessment and monitoring of the Dead Sea surface area and water level using remote sensing and GIS techniques
2024
[2] Environmental threat and change detection in saline lakes from 1960 to 2021: background, present, and future
Environmental Science and Pollution Research, 2023
[3] Assessing the status and spatial-temporal dynamics of the Bamenda Mountains (BM), North West region of Cameroon
Environmental Monitoring and Assessment, 2023
[4] Appraisal of Forest Changes Using Change Detection Analysis in Alsunt Forest Khartoum State of Sudan
2021
[5] Land use and land cover change detection and prediction in Bhutan's high altitude city of Thimphu, using cellular automata and Markov chain
2021
[6] Predictive Modeling of Transport Infrastructure Space for Urban Growth Phenomena in Developing Countries' Cities: A Case Study of Kano—Nigeria
2021
[7] Predicting land use/cover changes and its association to agricultural production on the slopes of Mount Kilimanjaro, Tanzania
2021
[8] Monitoring spatial-temporal transition dynamics of transport infrastructure space in urban growth phenomena: A case study of Lagos—Nigeria
2021
[9] Climate and anthropogenic footprints implications on the surface and groundwater dynamics on the southern slopes of Mount Kilimanjaro, Tanzania
2021
[10] Predictive modeling of transport infrastructure space for urban growth phenomena in developing countries' cities
2020
[11] Multi-and inter-disciplinary approaches towards understanding the sinkholes' phenomenon in the Dead Sea Basin
2020
[12] Impacts of future climate and landuse changes on surface-groundwater balance in Usangu catchment
2019
[13] MAPPING OF FOREST WATER-STRESSED CHANGES BASED ON NORMALIZED DIFFERENCE WATER INDEX (NDWI) DURING 1998-2018 USING MULTI …
2019
[14] Observations of positive sea surface temperature trends in the steadily shrinking Dead Sea.
2018
[15] GEOSPATIAL APPROACH USING SOCIO-ECONOMIC AND PROJECTED CLIMATE CHANGE INFORMATION FORMODELLING URBAN GROWTH
2018
[16] Monitoring and predicting land use and land cover changes using remote sensing and GIS techniques—A case study of a hilly area, Jiangle, China
PLOS ONE, 2018
[17] Geospatial modelling of urban growth for sustainable development in the Niger Delta Region, Nigeria
International Journal of Remote Sensing, 2018
[18] Observations of positive sea surface temperature trends in the steadily shrinking Dead Sea
2018
[19] A Markovian and cellular automata land-use change predictive model of the Usangu Catchment
Issues in Mental Health Nursing, 2017
[20] The Impact of Sea Groins in the Egyptian Side of Rafah on the Erosion of the Beaches of the Southern Area of the Gaza Strip Using Remote Sensing and GIS
2017
[21] The Impact of Sea Groins in the Egyptian Side of Rafah on the Erosion of the Beaches of the Southern Area of the Gaza Strip Using Remote Sensing and GIS.
Hallaq - Journal of Engineering Research & Technology, 2017
[22] Using Cellular Automata-Markov Analysis and Multi Criteria Evaluation for Predicting the Shape of the Dead Sea
Advances in Remote Sensing, 2015
[23] CHAPTER THEE (A)(Published version of the manuscript)
… SPACE IN MEGACITIES …, 1988

Copyright © 2025 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.