Evaluating the groundwater potential of Wadi Al-Jizi, Sultanate of Oman, by integrating remote sensing and GIS techniques

Akhtar, Javed; Sana, Ahmad; Tauseef, Syed Mohammed; Chellaiah, Gajendran; Kaliyaperumal, Parmeswari; Sarkar, Humayun; Ayyamperumal, Ramamoorthy

doi:10.1007/s11356-021-17848-x

Cited by 9 publications

(5 citation statements)

References 29 publications

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“…Variables such as precipitation, and slope exhibit positive influences, indicating their beneficial impact on the live status of the falajs. Higher levels of precipitation enhance water availability, thereby fostering a conducive environment for the sustenance of the falaj systems [ 54 ]. Furthermore, steeper slopes contribute to greater drainage and water movement, which supports the falajs’ healthy nature.…”

Section: Discussionmentioning

confidence: 99%

Assessing the environmental factors affecting the sustainability of Aini Falaj system

Al-Kindi

2024

PLoS ONE

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This study investigates the spatial distribution patterns and environmental factors influencing the Aini Falaj system in a specific study area. The research findings are presented through the lens of the following four categories: collinearity diagnostics, spatial autocorrelation analysis, kernel density (KD) findings, and multivariate geographically weighted regression (MGWR) analysis. The collinearity diagnostics were applied to examine the interrelationships among 18 independent environmental variables. The results indicate the absence of significant multicollinearity concerns, with most variables showing values below the critical threshold of five for variance inflation factors (VIFs). The selected variables indicate minimal intercorrelation, suggesting that researchers should be confident utilizing them in subsequent modelling or regression analyses. A spatial autocorrelation analysis using Moran’s Index revealed positive spatial autocorrelation and significant clustering patterns in the distribution of live and non-functional Aini Falajs. High concentrations of live or dead Falajs tended to be surrounded by neighbouring areas with similar characteristics. These findings provide insights into the ecological preferences and habitat associations of Aini Falajs, thereby aiding conservation strategies and targeted studies. The kernel density (KD) analysis depicted distribution patterns of live and dry Aini Falajs through hotspots and cold spots. Specific regions exhibited high-density areas of live Falajs, indicating favourable environmental conditions or historical factors contributing to their concentrated distribution. Identifying these high-density zones can enhance our understanding of the spatial patterns and potential factors influencing the prevalence and sustainability of Aini Falajs. The multivariate geographically weighted regression (MGWR) models revealed strong associations between the live or dead status of Aini Falajs and environmental factors. The precipitation, topographic wetness index (TWI), aspect and slope exerted positive impacts on the live status, while evaporation, solar radiation, distance to drains and drain density exerted negative influences. Similar associations were observed for the dead status, emphasising the importance of controlling evaporation, shading mechanisms, proper drainage planning and sustainable land-use practices. This study provides valuable insights into the spatial distributions and factors influencing the live and dead status of Aini Falajs, thereby contributing to our understanding of their ecological dynamics and guiding conservation efforts and management strategies.

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Section: Discussionmentioning

confidence: 99%

Assessing the environmental factors affecting the sustainability of Aini Falaj system

Al-Kindi

2024

PLoS ONE

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“…The soil's electrical resistivity is a characteristic closely linked to the type, nature, and state of alteration of geological formations [8]. In areas with potential groundwater contamination, it has been used for determining the depth of the groundwater table [43] (Akhtar et al, 2021), determining the distribution of contamination areas and the direction of migration of pollutants, assessing the thickness of wastes deposited in a landfill, and identifying possible leachate plumes [41,44,45]. Soil apparent resistivity (ρa) can be determined based on the known difference between electric field potential (∆V), the current (I), and the distance between electrodes [41], given by the equation:…”

Section: Electrical Resistivitymentioning

confidence: 99%

Integration of Electrical Resistivity and Modified DRASTIC Model to Assess Groundwater Vulnerability in the Surrounding Area of Hulene-B Waste Dump, Maputo, Mozambique

Bernardo

Candeias

Rocha

2022

Water

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In this study, electrical resistivity was applied in six 400 m profiles around the Hulene-B waste dump (Mozambique). Afterwards, an inversion was performed by RES2Dinv. The use of the electrical resistivity method allowed us to characterize in detail some underlying aspects of the DRASTIC index by identifying anomalous zones considered to be permeable and prone to leachate migration. The modified DRASTIC index revealed high values in areas near contaminated surface groundwater and surface layers of the vadose zone, characterized by low resistivities. Areas with lower index results were characterized by high resistivity on surface layers and high depth at which groundwater was detected. The overall modified DRASTIC index result revealed medium vulnerability. However, high vulnerability index values were detected in areas with higher surface elevation, suggesting groundwater contamination by horizontal dilution of leachates from the surrounding area of the Hulene-B waste dump.

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“…The electrical resistivity of soils is a characteristic closely linked to the type, nature, and state of alteration of geological formations (Kayode et al 2019). In areas of suspected groundwater contamination, the method has been employed for: (1) determining the depth of the groundwater table (Akhtar et al 2021),…”

Section: Geophysical Studies (Electrical Resistivity)mentioning

confidence: 99%

Application of Electrical Resistivity and DRASTIC Models in the Study of Groundwater Contamination Risk in the Surroundings of the Hulene - B Waste Dump, Maputo, Mozambique

Bernardo

Candeias

Rocha

2022

Preprint

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The contamination of groundwater by leachate migration around waste dumps is a growing challenge for maintaining the quality of water resources in urban centers. In this study the electrical resistivity method was applied, where six 400 m profiles were executed around the Hulene - B waste dump and then an inversion was performed by RES2D. The application of the electrical resistivity method allowed us to characterize in detail some of the fundamental aspects of the DRASTIC risk (estimating groundwater depth, characterizing the vadose zone and understand soil permeability) and to identify anomalous zones of possible fundamental contamination, which we grouped into two (i) anomalous lithological surfaces that we considered permeable and migrating leachate from the waste dump and (ii) anomalous zones in the subsoil and groundwater possibly contaminated. The computed DRASTIC index is very high for the area covered by profiles 2 and 6 (156 - 165) given the proximity of groundwater to the contaminating surface and the surrounding area consisting of very conductive materials. On profile 5 area the index is very low (96) due to the strong resistivity of the surface layers and the high depth at which groundwater was detected (> 40m). The area of profile 3 (further north of the dump) has also a low index (105) due to its distance from the contamination source (dump) and the strong resistivity of the lithological layers, indicating low permeability, in addition to the great depth (> 40m) at which groundwater were detected. Concerning profiles 1 and 4, despite presenting permeable materials at the surface (low resistivities), groundwater level was recognized at greater depth (> 40m), DRASTIC risk index was lower (115 - 125) than expected. The overall value of the DRASTIC index for the surrounding area of Hulene - B dump was estimated at 127, which represents a low overall vulnerability. However, the high vulnerability index values for the area covered by profiles 2 and 6, and given their relatively higher surficial altitude, suggest a strong groundwater contamination by horizontal dilution of leachates from the whole area surrounding of the Hulene - B waste dump.

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Evaluating the groundwater potential of Wadi Al-Jizi, Sultanate of Oman, by integrating remote sensing and GIS techniques

Cited by 9 publications

References 29 publications

Assessing the environmental factors affecting the sustainability of Aini Falaj system

Assessing the environmental factors affecting the sustainability of Aini Falaj system

Integration of Electrical Resistivity and Modified DRASTIC Model to Assess Groundwater Vulnerability in the Surrounding Area of Hulene-B Waste Dump, Maputo, Mozambique

Application of Electrical Resistivity and DRASTIC Models in the Study of Groundwater Contamination Risk in the Surroundings of the Hulene - B Waste Dump, Maputo, Mozambique

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