Integrated Deep Learning and Genetic Algorithm Approach for Groundwater Potential Zone Prediction Incorporating Cmip6 Gcm: Unveiling Synergies for Enhanced Water Resource Management DOI
Mahfuzur Rahman,

Md. Monirul Islam,

Hyeong-Joo Kim

et al.

Published: Jan. 1, 2023

This study presents a novel approach to groundwater resource assessment and drought vulnerability, achieved through integrating cutting-edge deep-learning algorithms into comprehensive framework. In regions susceptible drought, ensuring availability is of paramount importance. Addressing this critical need, our research employs an ensemble advanced algorithms, including long short-term memory (LSTM), convolutional neural network (CNN), deep (DNN), recurrent (RNN). These are further enhanced optimization using genetic algorithm (GA) map potential zones (GWPZ). Leveraging model validation based on receiver operating characteristic (ROC) curves, the LSTM-GA emerges as superior algorithm, boasting highest area under curve (AUC: 0.995 for training 0.996 testing). Utilizing optimized model, we create GWPZ map, subsequently overlaying it with established maps developed by Bangladesh Agricultural Research Council (BARC) across distinct periods—Pre-Kharif, Kharif, Rabi. The derived baseline spatial distribution reveals five categories—very low (34.99%), (27.67%), moderate (13.26%), high (11.71%), very (12.37%)—and their intersection drought-prone regions, indicative probabilities occurrence ranging from severe (15.14% 24.69%). Moreover, employing best-predicted extend analysis project future 2050 2100 coupled intercomparison 6 (CMIP6) general circulation (GCM) data ambit three shared socioeconomic pathways (SSPs): SSP1-2.6, SSP2-4.5, SSP5-8.5. Our findings suggest contraction in end twenty-first century (2100). pioneering integration sheds light intricate relationship between susceptibility, furnishing invaluable insights formulating targeted water management strategies. By amalgamating computational techniques geospatial analyses, contributes more grasp dynamics within context escalating climate challenges. Consequently, offers foundation informed decision-making implementing sustainable practices grappling dual challenges scarcity droughts.

Language: Английский

Using Remote Sensing and GIS-Based Frequency Ratio Technique for Revealing Groundwater Prospective Areas at Wadi Al Hamdh Watershed, Saudi Arabia DOI Open Access

Mohamed Abdekareem,

Fathy Abdalla, Nassir Al‐Arifi

et al.

Water, Journal Year: 2023, Volume and Issue: 15(6), P. 1154 - 1154

Published: March 16, 2023

For socioeconomic development in arid regions, there is an increasing need for groundwater resources due to rapid population expansion. It necessary apply innovative approaches managing the sustainability of resources. Thus, remote sensing, geologic, climatic, and hydrologic data are integrated through GIS-based frequency ratio overlay analysis assessing spatial distribution potential zones (GWPZs) Wadi Al Hamdh, Saudi Arabia. Twelve factors controlling groundwater’s existence infiltration were identified, normalized using technique combined GIS techniques. To accomplish this, 313 well locations study area used training (70%) 137 utilized validation (30%). Using receiver operating characteristic (ROC) curves field data, model predictions validated showed very good performance (AUC: 0.893). The five on GWPZs map correspond 2.24, 5.81, 13.39, 53.90, 24.65% entire area. These are: excellent, good, moderate, low, low perspectivity. As a example, applied provided results that significant planning sustainable as regions.

Language: Английский

Citations

14
Mapping Groundwater Prospective Areas Using Remote Sensing and GIS-Based Data Driven Frequency Ratio Techniques and Detecting Land Cover Changes in the Yellow River Basin, China DOI Creative Commons

Shuhang Li,

Mohamed Abdelkareem, Nassir Al‐Arifi

et al.

Land, Journal Year: 2023, Volume and Issue: 12(4), P. 771 - 771

Published: March 29, 2023

Groundwater is an essential resource that meets all of humanity’s daily water demands, supports industrial development, influences agricultural output, and maintains ecological equilibrium. Remote sensing data can predict the location potential resources. The current study was conducted in China’s Yellow River region, Ningxia Hui Autonomous Region (NHAR). Through use a GIS-based frequency ratio machine learning technique, nine layers evidence influenced by remote were generated integrated. used are soil characteristics, aspect, roughness index terrain, drainage density, elevation, lineament depressions, rainfall, distance to river from location. Six groundwater prospective zones (GWPZs) found have very low (13%), (30%), moderate (25%), high (16%), (11%), extreme potentiality (5.26%) values. According well validate GWPZs map, approximately 40% wells consistent excellent zones. Information about productivity gathered 150 locations. Using had not been for model training, resulting maps validated using area-under-the-curve (AUC) analysis. FR models accuracy rating 0.759. Landsat characterize area’s changes land cover. spatiotemporal differences cover detected quantified multi-temporal images which revealed water, agricultural, anthropogenic activities. Overall, combining different sets through GIS reveal promising areas resources aid planners managers.

Language: Английский

Citations

14
An Integrated Remote Sensing and GIS-Based Technique for Mapping Groundwater Recharge Zones: A Case Study of SW Riyadh, Central Saudi Arabia DOI Creative Commons

Eman Mohamed M. EL-Bana,

Haya M. Alogayell, Mariam Hassan Sheta

et al.

Hydrology, Journal Year: 2024, Volume and Issue: 11(3), P. 38 - 38

Published: March 3, 2024

It might be difficult to find possible groundwater reservoir zones, especially in arid or hilly regions. In the twenty-first century, remotely sensed satellite imagery may present a new opportunity locate surface and subsurface water resources more quickly affordably. order identify potential current study was conducted Central Saudi Arabia, southwest of Riyadh. The analysis employed multi-criteria approach that relies on remote sensing geographic information systems. variables this technique include geology, rainfall, elevation, slope, aspect, hillshade, drainage density, lineaments Land Use/Land Cover (LULC). Analytical Hierarchical Process (AHP) used for assigning weights parameters, corresponding significance each parameter’s several classes potentiality. Different zones were identified by study: very high (16.8%), (30%), medium (26.7%), low (18.6%), (7.9%). Only two observation wells located “medium” zone, but other ten observed “very high” according validation survey. Consequently, results demonstrate approach, which combines improved conceptualization with AHP define map has greater chance producing accurate can reduce threat drought broader

Language: Английский

Citations

5
Effectiveness of machine learning ensemble models in assessing groundwater potential in Lidder watershed, India DOI
Rayees Ali, Haroon Sajjad, Tamal Kanti Saha

et al.

Acta Geophysica, Journal Year: 2023, Volume and Issue: 72(4), P. 2843 - 2856

Published: Nov. 30, 2023

Language: Английский

Citations

12
Optimizing urban water sustainability: Integrating deep learning, genetic algorithm, and CMIP6 GCM for groundwater potential zone prediction within a social-ecological-technological framework DOI
Mahfuzur Rahman,

Md. Monirul Islam,

Hyeong-Joo Kim

et al.

Advances in Space Research, Journal Year: 2024, Volume and Issue: 73(12), P. 5925 - 5948

Published: March 16, 2024

Language: Английский

Citations

4
Assessment of probable zones of agricultural land suitability based on MCDM, probabilistic, and data-driven approach in Krishna District, India DOI
S.K. Shaw,

Nowdu Sravani,

Anurag Sharma

et al.

Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(3)

Published: Feb. 28, 2025

Language: Английский

Citations

0
A GIS-based study on groundwater level fluctuation and delineation of potential zones DOI
Kanwarpreet Singh, Abhishek Sharma, Aditya Kumar Tiwary

et al.

Environmental Earth Sciences, Journal Year: 2025, Volume and Issue: 84(9)

Published: April 21, 2025

Language: Английский

Citations

0
Assessing groundwater potential zones in Sundargarh district: a comparative study using AHP and FR models DOI
S.K. Shaw, Anurag Sharma

Sustainable Water Resources Management, Journal Year: 2024, Volume and Issue: 10(3)

Published: May 30, 2024

Language: Английский

Citations

3
Overview of Sustainable Development Goals DOI
Surendra K. Sharma,

Deeksha Nayak,

Praveen Kumar

et al.

Advances in geographical and environmental sciences, Journal Year: 2024, Volume and Issue: unknown, P. 239 - 253

Published: Jan. 1, 2024

Language: Английский

Citations

3
Delineating the Potential Areas of Rainwater Harvesting in Arid Regions Using Remote Sensing and GIS Techniques DOI Open Access
Mohamed Abdelkareem, Abbas M. Mansour,

Ahmed Akawy

et al.

Water, Journal Year: 2023, Volume and Issue: 15(20), P. 3592 - 3592

Published: Oct. 13, 2023

Remote sensing (RS) data have allowed prospective zones of water accumulation (PZWA) that been harvested during rainstorms to be revealed. Climatic, hydrologic, and geological combined with radar optical remote data. A wide array data, including SRTM, Sentinel-1&2, Landsat-8, TRMM, ALOS/PALSAR were processed reveal the topographical characteristics catchments (elevation, slope, curvature, TRI) (lineaments, lithology, intensity), hydrological (Dd, TWI, SPI), ecological (NDVI, InSAR CCD), rainfall in Wadi Queih (WQ), which is an important drainage system drains into Red Sea. Radar improved structural elements showed downstream area shaped by northeast–southwest (NE-SW) fault trend. After giving each evidential GIS layer a weight utilizing GIS-based, knowledge-driven methodology, 13 layers integrated combined. According findings, studied basin can classified six based on how resources are held captured, very low, moderate, high, excellent. These correspond 6.20, 14.01, 21.26, 36.57, 17.35, 4.59% entire area. The results suggested specific location for lake used store rainwater, capacity ~240 million m3 case increasing yield. Such complements present at end WQ, hold about 1 m3. coherence change detection (CCD) derived from Sentinel-1 revealed noticeable changes land use/land cover (LU/LC) areas. Areas displayed surface signatures agricultural human activities consistent predicted high excellent zones. Thus, model approach aid planners governments. Overall, integration microwaves RS techniques promising areas rainwater accumulation.

Language: Английский

Citations

6