scholarly journals Assessing and Delineation of Groundwater Recharge Areas in Coastal Arid Area in Tunisia Using GIS, Remote Sensing Techniques and Self-organizing Map

2022 ◽  
Author(s):  
Bilel Abdelkarim ◽  
Faten Telahigue ◽  
Belgacem Agoubi
Keyword(s):  
Remote Sensing ◽  
Economic Development ◽  
Groundwater Recharge ◽  
Groundwater Potential ◽  
Study Region ◽  
Isotopic Analyses ◽  
Socio Economic Development ◽  
Potential Recharge ◽  
Remote Sensing Techniques ◽  
Self Organizing

Abstract In Gabès region (southeastern Tunisia), given the semi-arid to arid climate conditions, groundwater is an essential resource to supply the growth needs of the socio-economic development. To ensure sustainable development and preserve water resources, a careful estimation of the present day recharge amount and the delineation of the potential zones of rainfall precipitation are of required for an accurate evaluation of regional water balance. In this context, this study aims to a preliminary assessment of groundwater recharge in Gabes basin in regard to the delineation of the potential recharge areas of phreatic aquifers. Thus, a geological and hydrogeological collected database coupled with remote sensing techniques (RST) were used for the determination of the lateral variation of recharging zone ,Treatment by ArcGIS and Matlab softwares and Kohonen self-organizing maps (K-SOM) approaches.The obtained results indicate that five recharge potential areas have been identified and classified as 27% very low, 23% low, 40% moderate recharge, 7% good and 3 % very good potential recharge located principally on southern part of the study region .This distribution is controlled principally by the geomorphological, geologic, and hydrogeologic features of the region . Reasonable management strategies based on a perennial exploitation of these low renewable resources are required to optimize the water dependent socio-economic development. The estimated groundwater potential recharge of Gabès aquifer system using K-SOM and RST is of 11.4 Mm3.y-1. This recharging rate is very low it present 7% of the total rain, thus it must be ameliorated. K-SOM and RST approach is a useful method for groundwater potential recharge mapping and is a helpful of wells establishment and groundwater sustainable management.an isotopic analyses is recommended to ameliorate the decision maker to establish the adequate strategy.

scholarly journals Zoning groundwater potential recharge using remote sensing and GIS technique in the Red river delta plain

2022 ◽  
Vol 964 (1) ◽  
pp. 012025
Author(s):  
Pham Quy Nhan ◽  
Le Viet Hung ◽  
Tran Thanh Le ◽  
Thi Van Le Khoa ◽  
Dang Duc Nhan ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Groundwater Recharge ◽  
Groundwater Potential ◽  
Remote Sensing And Gis ◽  
River Delta ◽  
Red River ◽  
Red River Delta ◽  
Thematic Layers ◽  
Delta Plain ◽  
Potential Recharge

Abstract The Red River delta plain is the second largest delta in Vietnam and is located in the North of the country with an area of 14,860 km2 and residing more than 22.5 million inhabitants. Groundwater is mainly exploited in Quaternary sedimentary aquifers with a total discharge of about 3 million m3/day. Some localities have shown signs of over-exploitation such as in Hanoi and in Nam Dinh, which may lead to related problems such as depletion, subsidence, saltwater intrusion, and water pollution. In order to be able to sustainably exploit groundwater, the groundwater potential recharge needs to be estimated. There have been many studies using different methods to estimate the groundwater recharge and to zone potential recharge. In the study area, there are several studies for groundwater recharge, but some are still uncertain because of using indirect methods, some are locally estimated in specific areas. Therefore, the objective of this study is to apply remote sensing and GIS to zone the groundwater potential recharge and its verification by using radioactive isotope 3H analysis in the Red River delta plain. Various types of satellite images have been used and interpreted to detect the different thematic layers which concern the groundwater potential recharge. GIS has been applied as a platform for analysis and integration of thematic layers for zonation, finally. Field trip and water sampling for chemical and radioactive 3H analysis were also conducted. Zones with low, moderate, and high groundwater potential recharge have been delineated with good agreement from the direct estimation of groundwater recharge by radioactive isotopes 3H.

scholarly journals Estimating evapotranspiration and irrigation water requirement in phonology stages of grape (VitisVinifera) using agro-hydrological model and remote sensing techniques

2021 ◽  
Author(s):  
SeyyedHadi Sadeghi ◽  
Mohammad Faramarzi ◽  
Hamid Nouri
Keyword(s):  
Remote Sensing ◽  
Irrigation Water ◽  
Hydrological Model ◽  
Water Requirement ◽  
Irrigation Water Requirement ◽  
Study Region ◽  
Remote Sensing Techniques ◽  
Management Approaches ◽  
Semi Arid Region ◽  
Field Water Balance

Abstract This study aims to compare the remote sensing (RS) approach and an agro-hydrological model to estimate evapotranspiration (ET) and irrigation water requirement (IWR) in semi-arid region, and the effect of vineyards management and their ages on these parameters. In the study region, after vineyards were classified into three main scenarios based on three vineyards ages (12-15, 15-18 and 18-21 years) and two management approaches (proper and improper management), ET and IWR were determined in each scenario using the Soil-Water-Atmosphere–Plant (SWAP) Model and Surface Energy Balance Algorithm for Land (SEBAL) for the year of 2019-2020 with Landsat8 images. While the accumulated ET calculated with SEBAL was compared with a field water balance, the results showed that without calibration or parameter optimization, the accumulated ET estimated with SEBAL exceeded that computed with SWAP. According to the findings, the most and least RMSE was related to August (1.32) and June (1.26). Analyses of scenarios showed that at the first stage of phonology (bud-break to bloom), the S3 scenario has the most IWR for each pixel (900 m2) by 2.7 m3, and at the second stage (bloom to ripening) and the third stage (ripening), the S1 scenario by 229.5 m3 and 78 m3 has the highest IWR, respectively.

scholarly journals Identification of ground water recharge potential zones by using remote sensing and geographic information system

2020 ◽  
Vol 7 (1) ◽  
pp. 33
Author(s):  
Ballu Harish ◽  
Mahammad Haseena
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Ground Water ◽  
Water Potential ◽  
Drainage Density ◽  
Groundwater Potential ◽  
Geographical Information ◽  
Groundwater Potential Zones ◽  
Gis And Remote Sensing ◽  
Remote Sensing Techniques

<p><strong>Background: </strong>The ground water is the most precious and important resource around the world and is decreasing day by day. In connection, there is a need to bound the potential groundwater zones. The geographical information system (GIS) and remote sensing techniques have become important tools to locate groundwater potential zones.</p><p><strong>Methods</strong>: This research has been carried out to identify ground water potential zones in Nuthankal Mandal with help of GIS and remote sensing techniques. In order to evaluate the ground water potential zones, different thematic maps such as geology, slope, soil, drainage density map, land use and land cover and surface water bodies i.e., lakes and other using remotely-sensed data as well as toposheets and secondary data, collected from concern department. The prepared layers are further used for mapping and identification of ground water potential zones.</p><p><strong>Results</strong>: In this study ground water potential zones are demarked with the help of composite maps, which are generated using GIS tools. The accurate information to obtain the parameters that can be considered for identifying the ground water potential zone such as geology, slope, drainage density and lineament density are generated using the satellite data and survey of India (SOI) Topo-sheets, the groundwater potential zones are classified into five categories like very poor, poor, moderate, good &amp; very good. The use of suggested methodology is demonstrated for a selected study area in Nuthankal Mandal.</p><p><strong>Conclusions</strong>: This groundwater potential information was also used for identification of suitable locations for extraction of water.</p>

scholarly journals Identification of Groundwater Potential Recharge Zones in Flinders Ranges, South Australia Using Remote Sensing, GIS, and MIF Techniques

Water ◽  
2021 ◽  
Vol 13 (18) ◽  
pp. 2571
Author(s):  
Alaa Ahmed ◽  
Abdullah Alrajhi ◽  
Abdulaziz S. Alquwaizany
Keyword(s):  
Groundwater Recharge ◽  
Water Resource Management ◽  
South Australia ◽  
Drainage Density ◽  
Groundwater Potential ◽  
Lineament Density ◽  
Thematic Layers ◽  
Recharge Potential ◽  
Flinders Ranges ◽  
Potential Recharge

In Australia, water resource management is a major environmental, biological, and socio-economic issue, and will be an essential component of future development. The Hawker Area of the central Flinders Ranges, South Australia suffers from a lack of reliable data to help with water resource management and decision making. The present study aimed to delineate and assess groundwater recharge potential (GWRP) zones using an integration between the remote sensing (RS), geographic information system (GIS), and multi-influencing factors (MIF) approaches in the Hawker Area of the Flinders Ranges, South Australia. Many thematic layers such as lithology, drainage density, slope, and lineament density were established in a GIS environment for the purpose of identifying groundwater recharge potential zones. A knowledge base ranking from 1 to 5 was assigned to each individual thematic layer and its categories, depending on each layer’s importance to groundwater recharge potential zones. All of the thematic layers were integrated to create a combined groundwater potential map of the study area using weighting analysis in ArcGIS software. The groundwater potential zones were categorized into three classes, good, moderate, and low. The resulting zones were verified using available water data and showed a relative consistency with the interpretations. The findings of this study indicated that the most effective groundwater potential recharge zones are located where the lineament density is high, the drainage density is low, and the slope is gentle. The least effective areas for groundwater recharge are underlain by shale and siltstone. The results indicated that there were interrelationships between the groundwater recharge potential factors and the general hydrology characteristics scores of the catchment. MIF analysis using GIS mapping techniques proved to be a very useful tool in the evaluation of hydrogeological systems and could enable decision makers to evaluate, better manage, and protect a hydrogeological system using a single platform.

Spatial Disparities in Socio-economic Development among North-western Indian States

2021 ◽  
Vol 66 (1-3) ◽  
Author(s):  
Nem Raj
Keyword(s):  
Economic Development ◽  
Regional Disparity ◽  
Indian States ◽  
Study Region ◽  
North West ◽  
Secondary Sources ◽  
Socio Economic Development ◽  
Government Data ◽  
High Level ◽  
North Western

ABSTRACT Regional disparity in the socio-economic development is a universal phenomenon which can be found in developed and developing countries of the world including India. The present paper addresses the issue of regional disparity based on 16 indicators of socio-economic development at district level in north-western region of India. The study has been done with reference to three reference years at an interval of 20 years, that is, 1971, 1991 and 2011. The study is entirely based on secondary sources of data collected from various government data providing agencies. In order to examine the spatial variations in socio-economic development, Z-score and composite standard score have been computed and interpreted. Co-efficient of variation (C.V.) has also been computed to measure the disparities at the variable level and overall development. During 1970s, the high level of development was concentrated in few pockets. North-west India has witnessed visible improvement in the levels of socio-economic development. The study shows that the low level of development remained concentrated in the districts of Rajasthan along with the central-western districts of Jammu & Kashmir. Despite declining regional disparities in socio-economic development, some of the districts are still multi-sectoral backward in the study region

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