Geo-Spatial Analysis in Hydrology

Zhou, Qiming; Li, Jianfeng

doi:10.3390/ijgi9070435

Cited by 7 publications

(1 citation statement)

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“…From a climate perspective, a decline in rainfall is often correlated with increasing temperatures and decreasing relative humidity, highlighting the complex interplay between climate variables and water resources (Abu Isleih et al, 2020). The development of the geospatial technique enhances the understanding of complicated and heterogeneous hydrological systems (Zhou and Li, 2020). The use of the Geographic Information System (GIS) to create drainage systems based on digital elevation models (DEMs) offers a robust analytical tool.…”

Section: Introductionmentioning

confidence: 99%

Application of the fuzzy analytic hierarchy process for water resources in the Wadi AlHasa catchment, Jordan

Mohammad,

Odeh,

Abualhaijaa

et al. 2024

Journal of Water and Land Development

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This article introduces a groundwater vulnerability assessment model that utilises the fuzzy analytic hierarchy process (FAHP) in the Wadi AlHasa catchment, Jordan. The assessment takes into account both geomorphological and hydrogeological variables, employing a comprehensive methodology that integrates various parameters. To evaluate the catchment, the study employs remote sensing and Geographic Information System (GIS) techniques. The analysis of the digital elevation model enables the creation of a map illustrating the diverse geomorphology of the catchment. This geomorphology significantly influences drainage density, direction, and the spatial distribution and intensity of flash flood events. Moreover, the study develops and maps a fuzzy FAHP DRASTIC vulnerability index, which proves to be a valuable tool for assessing the susceptibility of groundwater resources to contamination. The unique feature of the index is its ability to incorporate uncertain or subjective data, providing a means to evaluate the significance of various influencing factors. This information serves as critical support for decision-making and management efforts geared towards safeguarding and enhancing groundwater resources. Within the study area, the DRASTIC vulnerability index values span from 0.08325 to 0.28409, with 18% of the site exhibiting a high vulnerability rate. Additionally, the article implements a managed aquifer recharge model (MAR), with 31% of the area falling into MAR classes. Among these, 22.1% are classified as a high MAR class, while 0.7% belong to a very high MAR class. These findings underscore the feasibility of MAR projects in regions with limited water resources.

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Section: Introductionmentioning

confidence: 99%