Morphometric Determination and Digital Geological Mapping by RS and GIS Techniques in Aseer–Jazan Contact, Southwest Saudi Arabia

Khan, Mohd Yawar Ali; ElKashouty, Mohamed; Subyani, Ali M.; Tian, F.

doi:10.3390/w15132438

Cited by 11 publications

(4 citation statements)

References 71 publications

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“…In addition, a study conducted in southwest Saudi Arabia integrated GIS and remote sensing to determine the hydrological characteristics of a watershed in Saudi Arabia [20]. The paper's findings serve as a basis for practical applications in flood management and water harvesting [20].…”

Section: Introductionmentioning

confidence: 99%

“…The study evaluated the effect of solar radiation on the basin's surface runoff, allowing them to predict the presence of saturated soil for water harvesting [19]. In addition, a study conducted in southwest Saudi Arabia integrated GIS and remote sensing to determine the hydrological characteristics of a watershed in Saudi Arabia [20]. The paper's findings serve as a basis for practical applications in flood management and water harvesting [20].…”

Section: Introductionmentioning

confidence: 99%

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An Integrated Approach to Leak Detection in Water Distribution Networks (WDNs) Using GIS and Remote Sensing

Al Hassani,

Ali,

Mortula

et al. 2023

Applied Sciences

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Leakages in the water distribution networks (WDNs) are real problems for utilities and other governmental agencies. Timely leak detection and location identification have been challenges. In this paper, an integrated approach to geospatial and infrared image processing was used for robust leak detection. The method combines drops in flow, pressure, and chlorine residuals to determine potential water leakage locations in the WDN using Geographic Information System (GIS) techniques. GIS layers were created from the hourly values of these three parameters for the city of Sharjah provided by the Sharjah Electricity, Water, and Gas Authority (SEWA). These layers are then analyzed for locations with dropped values of each of the parameters and are overlaid with each other. In the case where there were no overlaying locations between flow and pressure, further water quality analysis was avoided, assuming no potential leak. In the case where there are locations with drops in flow and pressure layers, these overlaying locations are then examined for drops in chlorine values. If overlaying locations are found, then these regions are considered potential leak locations. Once potential leak locations are identified, a specialized remote sensing technique can be used to pinpoint the leak location. This study also demonstrated the suitability of using an infrared camera for leak detection in a laboratory-based setup. This paper concludes that the following methodology can help water utility companies in the timely detection of leaks, saving money, time, and effort.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Integrated Approach to Leak Detection in Water Distribution Networks (WDNs) Using GIS and Remote Sensing

Al Hassani,

Ali,

Mortula

et al. 2023

Applied Sciences

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“…As expected, desert regions include places where the unfertile soil is lightly unsuitable for agricultural activities and there is an undesirable climate leading to a shortage of crop and livestock products. In the context of Saudi Arabia, there has been a noticeable rise in water demand over time, specifically within the agricultural and industrial sectors [ 13 ]. Adding the existing conditions of domestic agricultural production and the resulting products will not be able to fruitfully address the increasing food demand due to the limited fertile land and water resources.…”

Section: Introductionmentioning

confidence: 99%

Food insecurity and water management shocks in Saudi Arabia: Bayesian VAR analysis

Elzaki,

Al-Mahish

2024

PLoS ONE

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The existing conditions of domestic agricultural production and the resulting products will not be able to fruitfully address the increasing food demand due to the limited fertile land and water resources in Saudi Arabia. Moreover, the escalating threat of a hotter climate, the deterioration in precipitation, and harsh droughts in Saudi Arabia have reduced the predictability of water management efficiency and resulted in the exhaustion of water bodies and serious degradation of ecosystems that have directly affected agricultural systems and indirectly, food security. This study also aims to assess the impact of water efficiency on food insecurity in Saudi Arabia. The study applied the Bayesian Vector Autoregressive (BVAR) model for the reference period for the data extended from 2000–2020. Likewise, we used both impulse response functions (IRFs) and forecasting variance error decomposition (FVED) through 1000 Monte Carlo simulations according to the BVAR model to examine both the response of food insecurity to the shocks on water management efficiency used for various purposes and the decomposition of error variance in food insecurity. The results show that food insecurity was not observed throughout this study. The results of the BVAR analysis indicate that in the short run, the coefficients of water use efficiency are significant based on the Food Insecurity Multidimensional Index (FIMI). Also, the BVAR model provides a better forecast with an interdependence on water use efficiency for agricultural purposes and FIMI. Moreover, the results obtained from IRFs have shown a significant effect of water efficiency on FIMI. Water use efficiency for agriculture and industrial purposes reduces food insecurity while increasing water for services use increases food insecurity. Water use efficiency is the key factor affecting food insecurity in the short run. The results reveal that the water use efficiency shocks will decrease food insecurity. The shocks experienced by food insecurity can be predicted as self-shock over a span of ten years. Emphasis is given to the task of water management that may support food security in Saudi Arabia through implementing and enhancing the water use efficiency as an integral part of achieving the SDGs in Saudi Arabia.

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“…Several studies have demonstrated the potential of Remote Sensing (RS) and Geographical Information Systems (GIS) for conducting morphometric analysis [25][26][27][28][29] and providing valuable information for watershed management and planning. Moreover, remote sensingbased Digital Elevation Models (DEMs) have been widely used for topography-based studies [30][31][32].…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of MCDA Techniques for Identifying Erosion-Prone Areas in the Burhanpur Watershed in Central India for the Purposes of Sustainable Watershed Management

Patel,

Ramana Rao,

Rajwade

et al. 2023

Water

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The degradation of land and increasing water scarcity are existing challenges for agricultural sustainability, necessitating the implementation of improved soil-conservation practices at the watershed scale. The identification and selection of critical/prone areas based on erosion-governing criteria is essential and helps in the execution of the management process for determining priority. This study prioritizes erosion-prone sub-watersheds (alternatives) based on morphometric parameters (multiple criteria) via five Multi-Criteria Decision Analysis (MCDA) approaches, i.e., AHP: Analytical Hierarchy Process; TOPSIS: Technique for Order of Preference by Similarity to Ideal Solution; VIKOR: VIseKriterijumska Optimizacija I Kompromisno Resenje; SAW: Simple Additive Weighting; and CF: Compound Factor. Based on their priority score, 19 sub-watersheds were classified into four priority classes: low priority (0–0.25), moderate priority (0.25–0.50), high priority (0.50–0.75), and very high priority (0.75–1). The results revealed that about 8.34–30.15% area of the Burhanpur watershed is critically prone to erosion, followed by 23.38–52.05% area classed as high priority, 7.47–49.99% area classed as moderate priority, and 10.33–18.28% area classed as low priority. Additionally, four indices—percentage of changes (∆P), intensity of changes (∆I), the Spearman rank correlation coefficient test (SCCT), and the Kendall tau correlation coefficient test (KTCCT)—were employed to compare the models. This study confirms the efficacy of morphometric parameters for prioritizing sub-watersheds to preserve soil and the environment, particularly in areas for which limited information is available.

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Morphometric Determination and Digital Geological Mapping by RS and GIS Techniques in Aseer–Jazan Contact, Southwest Saudi Arabia

Cited by 11 publications

References 71 publications

An Integrated Approach to Leak Detection in Water Distribution Networks (WDNs) Using GIS and Remote Sensing

An Integrated Approach to Leak Detection in Water Distribution Networks (WDNs) Using GIS and Remote Sensing

Food insecurity and water management shocks in Saudi Arabia: Bayesian VAR analysis

Comparative Analysis of MCDA Techniques for Identifying Erosion-Prone Areas in the Burhanpur Watershed in Central India for the Purposes of Sustainable Watershed Management

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