Browsing by Author "Zhran, Mohamed"

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    Artificial recharge sites unveiled: Geospatial-MCDM solutions for Akeru watershed, Telangana, India
    (Elsevier Inc., 2025-07-30) Shekar, Padala Raja; Mathew, Aneesh; Pramanik, Malay; Ben Hasher, Fahdah Falah; Zhran, Mohamed
    Groundwater is vital for human health, agriculture, and ecological balance, making its sustainable management increasingly important amid rising demand. This study presents a geospatial and multi-criteria decision-making (MCDM) approach using the analytic hierarchy process (AHP) to identify suitable artificial recharge sites. Ten key thematic layers—drainage density, rainfall, topographic wetness index (TWI), curvature, elevation, geomorphology, topographic position index (TPI), distance from the river, land use and land cover, and slope—were selected based on their influence on groundwater recharge potential. Each layer was weighed using AHP, and the resulting normalized weights were integrated in a geographic information system (GIS) environment to delineate groundwater potential zones (GWPZs). The novelty of this research lies in overlaying the AHP-derived GWPZ map with identified artificial recharge locations, enabling precise site selection for recharge structures. The study area was classified into high, moderate, and poor recharge zones, with 74.6 % falling under moderate potential. Model validation using ground truth well locations and the area under the curve (AUC) method yielded a high prediction accuracy of 80.01 %, confirming the robustness of the methodology. A total of 176 suitable sites were identified, with recommendations for constructing percolation ponds and check dams. This approach enhances targeted groundwater recharge planning and supports sustainable water resource management. This research contributes directly to sustainable development goal 6 (clean water and sanitation) by promoting sustainable groundwater management and ensuring long-term water availability.
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    Towards Sustainable Development: Ranking of Soil Erosion-Prone Areas Using Morphometric Analysis and Multi-Criteria Decision-Making Techniques
    (Multidisciplinary Digital Publishing Institute (MDPI), 2025-03-01) Shekar, Padala Raja; Mathew, Aneesh; Hasher, Fahdah Falah Ben; Mehmood, Kaleem; Zhran, Mohamed
    Sub-watershed prioritization using morphometric analysis and multi-criteria decision-making (MCDM) techniques is a systematic approach to identifying and ranking sub-watersheds based on their susceptibility to soil erosion. This helps in implementing targeted soil conservation measures. In this study, sub-watersheds in the Narangi basin are prioritized by employing morphometric analysis integrated with advanced MCDM techniques, including additive ratio assessment (ARAS), complicated proportional assessment (COPRAS), multi-objective optimization by ratio analysis (MOORA), and the technique for order preference by similarity to ideal solution (TOPSIS). Weights for various MCDM methods are determined using the criteria importance through an inter-criteria correlation approach (CRITIC: criteria importance through inter-criteria correlation method), while geospatial techniques ensure precise spatial analysis. The results provide a unified ranking of sub-watersheds, revealing that sub-watershed 3 (SW3) and SW9 are in the high-priority soil erosion category; SW1, SW2, SW5, and SW8 are medium-priority; and SW4, SW6, SW7, and SW10 are low-priority. This comprehensive and sustainability-oriented approach equips decision-makers with robust tools to identify and manage sub-watersheds at risk of soil erosion, ensuring the long-term sustainability of land and water resources. This study aligns with sustainable development goal 15 (life on land) and promotes sustainable land use practices to combat soil degradation.