Hydrospatial Analysis最新文献_第2页

Assessment and Modeling of Groundwater Potential Zones by using Geospatial and Decision-making approaches: A case study in Anantapur district, Andhra Pradesh, India 基于地理空间和决策方法的地下水潜力带评价与建模——以印度安得拉邦Anantapur地区为例

Hydrospatial Analysis Pub Date : 2021-07-29 DOI: 10.21523/gcj3.2021050104

B. Kumar, K. Babu, M. Rajasekhar, M. Ramachandra

{"title":"Assessment and Modeling of Groundwater Potential Zones by using Geospatial and Decision-making approaches: A case study in Anantapur district, Andhra Pradesh, India","authors":"B. Kumar, K. Babu, M. Rajasekhar, M. Ramachandra","doi":"10.21523/gcj3.2021050104","DOIUrl":"https://doi.org/10.21523/gcj3.2021050104","url":null,"abstract":"Freshwater scarcity is a major issue in Rayalaseema region in Andhra Pradesh (India). Groundwater is the primary source of drinking and irrigation water in Anantapur district, Andhra Pradesh, India. Therefore, it is important to identify areas having groundwater potential; however, the current methods of groundwater exploration consume a lot of time and money. Analytic Hierarchy Process (AHP)-based spatial model is used to identify groundwater potential zones in Anantapur using remote sensing and GIS-based decision support system. Thematic layers considered in this study were geology, geomorphology, soils, land use land cover (LULC), lineament density (LD), drainage density (DD), slope, and rainfall. According to Saaty’s AHP, all these themes and individual features were weighted according to their relative importance in groundwater occurrence. Thematic layers were finally combined using ArcGIS to prepare a groundwater potential zone map. The high weighted value area was considered a groundwater prospecting region. Accordingly, the GWPZ map was classified into four categories: very good, good, moderate, and poor. The very good GWPZ area is 77.37 km2 (24.93%) of the total study area. The northeastern and southeastern sections of the study area, as well as some medium patches in the center and western regions, are covered by moderate GWPZs, which cover an area of 53.07 km2 (17.10%). However, the GWP in the study area’s central, southwestern, and northern portions is poor, encompassing an area of approximately 79.31 km2 (25.56%). Finally, RS and GIS techniques are highly effective and useful for identifying GWPZs.","PeriodicalId":318194,"journal":{"name":"Hydrospatial Analysis","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116567703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Groundwater Potentiality Mapping in Viruthachalam Taluk, Tamil Nadu, India: AHP and GIS Approaches 印度泰米尔纳德邦Viruthachalam Taluk地下水潜力制图:AHP和GIS方法

Hydrospatial Analysis Pub Date : 2021-06-20 DOI: 10.21523/gcj3.2021050103

Muthukumarasamy Ranganathan, B. M., M. M., Zubairul Islam, Daniel Tekley Gebremedhin, Grmay Kassa Brhane

{"title":"Groundwater Potentiality Mapping in Viruthachalam Taluk, Tamil Nadu, India: AHP and GIS Approaches","authors":"Muthukumarasamy Ranganathan, B. M., M. M., Zubairul Islam, Daniel Tekley Gebremedhin, Grmay Kassa Brhane","doi":"10.21523/gcj3.2021050103","DOIUrl":"https://doi.org/10.21523/gcj3.2021050103","url":null,"abstract":"Groundwater is the most valuable treasury commodity in the world, yet it is depleted on a daily basis. Hand arrangement is crucial in assembly for delineating a potential groundwater zones. Geographic Information System (GIS) and Remote Sensing (RS) data with Analytical Hierarchy Process (AHP) approach have proven critical for micro level analysis of groundwater potentials. This exploration was authorized in order to locate a prospective groundwater area in the Virutachalam Taluk of Southern India. The Inverse Distance Weightage (IDW) technique was used to determine the groundwater potential precinct by thematic layers of drainage, drainage density, geology, lineament, lineament density, geomorphology, soil, and slopes. Overall, the prospective groundwater zone in the study area was classified as excellent (20.66 %), good (60.29 %), moderate (16.38 %) and poor (2.73 %). This optional analysis offers an excellent possible groundwater zone for patches in the northern and central sections of Kotteri and Kammapuram in Virudhachalam Taluk. The survey revealed that the approach of inverse distance weighting provides an operating mechanism for suggesting groundwater potential zones for clear expansion and groundwater control in not the same hydro-geological settings.","PeriodicalId":318194,"journal":{"name":"Hydrospatial Analysis","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130263389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Impact Assessment of Water Harvesting Structures in Micro-Watersheds of Nira River Basin, Maharashtra, India 印度马哈拉施特拉邦尼拉河流域微流域集水结构影响评价

Hydrospatial Analysis Pub Date : 2020-06-18 DOI: 10.21523/gcj3.19030203

Trupti Raskar, Himanshu Gaikwad, O. Kadekar, B. Umrikar

{"title":"Impact Assessment of Water Harvesting Structures in Micro-Watersheds of Nira River Basin, Maharashtra, India","authors":"Trupti Raskar, Himanshu Gaikwad, O. Kadekar, B. Umrikar","doi":"10.21523/gcj3.19030203","DOIUrl":"https://doi.org/10.21523/gcj3.19030203","url":null,"abstract":"Artificial recharge is highly recommended in declining groundwater level trends as well as partially replenished aquifers. Moreover, the quantification of the recharge to aquifers due to such measures is important in water resource budgeting, development and planning. With this objective nine locations representing varied geomorphology were selected and the groundwater levels from the dug well in the proximity of water harvesting structures were monitored. The plot of monthly groundwater levels versus rainfall depicts that in the month of July high rainfall occurred but the groundwater levels raised in August due to delayed recharge process. The water level data also indicate the availability of water column of about 5m to 6m in most of the wells till the end of February, 2020. Water Harvesting structures overlaid on the Recharge Potential Zone map represent excellent (13.1%), very good (12.3%), good (23.3%), moderate (25.2) and poor (26.1) zones. The computation of artificial recharge from these structures depict that the structures having high storage capacity with a greater number of fillings have higher recharge. Also, the geophysical resistivity surveys were conducted to understand the degree of saturation at each location up to 50m, 100m and 150m distances from the structure. After integrating all datasets, it has been found that the structure at Shivajinagar has highest recharge followed by Pisalwadi, Kanheri, Zagalwadi 2, Kavathe, Ansur, Bholi, Limbachidwadi, Zagalwadi 1 and Kesurdi. Thus, the study concludes that the impact of water harvesting structures varies according to topography, land slope, geomorphology, size of catchment and lithology.","PeriodicalId":318194,"journal":{"name":"Hydrospatial Analysis","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125968321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Identification of Groundwater Potential Zones using AHP and Geospatial Techniques in Western Part of Cuddapah Basin, Andhra Pradesh, India 基于层次分析法和地理空间技术的印度Andhra Pradesh Cuddapah盆地西部地下水潜力带识别

Hydrospatial Analysis Pub Date : 2020-02-02 DOI: 10.21523/gcj3.19030202

R. M., Raghu Babu K., Rajasekhar M., Pradeep Kumar B.

{"title":"Identification of Groundwater Potential Zones using AHP and Geospatial Techniques in Western Part of Cuddapah Basin, Andhra Pradesh, India","authors":"R. M., Raghu Babu K., Rajasekhar M., Pradeep Kumar B.","doi":"10.21523/gcj3.19030202","DOIUrl":"https://doi.org/10.21523/gcj3.19030202","url":null,"abstract":"Present study is carried out for delineation of Groundwater Potential Zones (GWPZ) in Western part of Cuddapah basin, Southern India using Remote Sensing (RS), Geographical Information System (GIS) and Analytical Hierarchy Process (AHP). Various categorized thematic maps: geology, geomorphology (GM), slope, soils, lineament density (LD), drainage density (DD) and gorundwater levels fluctuations (GWLF) were used for mapping and delineation of GWPZs. Suitable and normalized weights were assigned based on AHP to identify GWPZ. The GWPZ map was categorized into five GWPZs types: very poor, poor, moderate, good and very good. About 1.48% (6.05 km2) area is classified in ‘very good’, 25.95% (106.07 km2) in ‘good’, 47.11% (192.53 km2) in ‘moderate’, 22.12% (90.38 km2) in ‘poor’ and 3.34% (13.66 km2) in ‘very poor’ category. The acquired outcomes were validated with water levels fluctuations in pre- and post-monsoon seasons. GIS-based multi-criteria decision making approach is useful for preparation of precise and reliable data. The AHP approach, with the aptitudes of the geospatial data, various data bases can be combined to create conceptual model for identification and estimation of GWPZs.","PeriodicalId":318194,"journal":{"name":"Hydrospatial Analysis","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128559891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Heavy Metal Contamination in the Floodplains Along Mula River, Pune District, Maharashtra State, India 印度马哈拉施特拉邦浦那地区穆拉河沿岸洪泛区的重金属污染

Hydrospatial Analysis Pub Date : 2019-11-13 DOI: 10.21523/gcj3.19030102

A. Supekar, Ashok Issac, Ashwini N. Rane

引用次数: 0

Identification of Suitable Sites for Artificial Groundwater Recharge Structures in Semi-arid region of Anantapur District: AHP Approach 阿南塔普尔地区半干旱区人工地下水补给设施适宜选址:层次分析法

Hydrospatial Analysis Pub Date : 2019-07-28 DOI: 10.21523/GCJ3.19030101

Rajasekhar M., Sudarsana Raju G., Imran Basha U., Siddi Raju R., Pradeep Kumar B., R. M.

{"title":"Identification of Suitable Sites for Artificial Groundwater Recharge Structures in Semi-arid region of Anantapur District: AHP Approach","authors":"Rajasekhar M., Sudarsana Raju G., Imran Basha U., Siddi Raju R., Pradeep Kumar B., R. M.","doi":"10.21523/GCJ3.19030101","DOIUrl":"https://doi.org/10.21523/GCJ3.19030101","url":null,"abstract":"The conservation and sustainable advancement of soil and water assets is one of the fundamental standards for improvement of arid and semi-arid regions of India. The present study is underway to evaluate the Artificial Groundwater Recharge Zones (AGRZ) in the semi-arid region of Anantapur district, Andhra Pradesh, India using Remote Sensing (RS), Geographical Information System (GIS) and Analytical Hierarchy Process (AHP) technique. The comparative weights were assigned to different thematic layers with the help of the decision making tool of AHP. A set of eight thematic layers influence groundwater potential (GWP) is determined based on their corresponding weights, which depend on a Saaty’s 9 points scale. These weights are normalized using AHP technique to identify the AGRZs. Five AGRZs were recognized as very low, low, moderate, good and very good, depending on its suitability to identify the sites for groundwater recharge. About 4.29 % (8.96km2) and 17.70 % (36.95km2) area in the region show very good and good potentials of artificial groundwater recharge, respectively. On the other hand 61.59% (128.60km2), 11.94% (24.94km2) and 4.48 % (9.35km2) area showed moderate, poor and very poor potentials. Overall accuracy of AGRZ map is 82.05%. 92 check dams, 19 percolation tanks and 7 check walls were found suitable in the region. The effectiveness and prediction ability of the method depends on integrity of the criterion used. AHP based methodology can be useful for precise and reliable analysis and predictions of groundwater in semi-arid regions of India.","PeriodicalId":318194,"journal":{"name":"Hydrospatial Analysis","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126511755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 18

Use of Geospatial Techniques for Groundwater Potential Zone Mapping from Phonda Basin in Sindhudurg District Maharashtra: A Geological Influence Approach 利用地理空间技术在马哈拉施特拉邦Sindhudurg地区Phonda盆地进行地下水潜势带测绘:地质影响方法

Hydrospatial Analysis Pub Date : 2019-06-28 DOI: 10.21523/GCJ3.18020205

K. D. Shirke, Kunal Bandivdekar

引用次数: 0

Evaluation of Groundwater Quality for Domestic and Irrigation Suitability from Upper Bhima Basin, Western India: A Hydro-geochemical Perspective 印度北部Bhima流域地下水水质适宜性评价:水文地球化学视角

Hydrospatial Analysis Pub Date : 2019-06-19 DOI: 10.21523/GCJ3.18020204

Himanshu Gaikwad, H. Shaikh, B. Umrikar

{"title":"Evaluation of Groundwater Quality for Domestic and Irrigation Suitability from Upper Bhima Basin, Western India: A Hydro-geochemical Perspective","authors":"Himanshu Gaikwad, H. Shaikh, B. Umrikar","doi":"10.21523/GCJ3.18020204","DOIUrl":"https://doi.org/10.21523/GCJ3.18020204","url":null,"abstract":"Major ion constituents present in groundwater are studied for shallow unconfined basaltic aquifer in order to understand the quality of groundwater resources and its impacts on inhabitants and irrigation. 30 groundwater samples collected from dug wells located in upper Bhima basin were analyzed to measure major cations and anions for establishing water quality index (WQI) and irrigation indices. The concentration of pH, electrical conductivity, total hardness, total dissolved solids and major cations and anions were analyzed. Groundwater types were detected using Piper’s trilinear diagram as Ca2+-HCO3−, Ca2+-Na+-HCO3−, mixed Ca2+-Mg2+-Cl− and Ca2+-Cl− groups. High concentration (8 to 194 mg/L) of nitrate was found at some locations in the region. WQI shows 66% of the samples to be unfit for drinking purposes due to high nitrate content mostly introduced because of the anthropogenic activities. Suitability of groundwater for irrigation purposes was determined using of Sodium Adsorption Ratio (SAR), Permeability Index (PI), Kelly Ratio (KR), Magnesium Hazard (MH), Sodium (%) and Residual Sodium Carbonate (RSC). Groundwater in the region is suitable for irrigation.","PeriodicalId":318194,"journal":{"name":"Hydrospatial Analysis","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126588796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Flood Frequency Analysis of the Mahi Basin by Using Log Pearson Type III Probability Distribution 基于Log Pearson III型概率分布的马溪流域洪水频率分析

Hydrospatial Analysis Pub Date : 2019-04-07 DOI: 10.21523/GCJ3.18020203

Uttam V. Pawar, P. Hire

{"title":"Flood Frequency Analysis of the Mahi Basin by Using Log Pearson Type III Probability Distribution","authors":"Uttam V. Pawar, P. Hire","doi":"10.21523/GCJ3.18020203","DOIUrl":"https://doi.org/10.21523/GCJ3.18020203","url":null,"abstract":"Flood frequency analysis is one of the techniques of examination of peak stream flow frequency and magnitude in the field of flood hydrology, flood geomorphology and hydraulic engineering. In the present study, Log Pearson Type III (LP-III) probability distribution has applied for flood series data of four sites on the Mahi River namely Mataji, Paderdi Badi, Wanakbori and Khanpur and of three sites on its tributaries such as Anas at Chakaliya, Som at Rangeli and Jakham at Dhariawad. The annual maximum series data for the record length of 26-51 years have been used for the present study. The time series plots of the data indicate that two largest ever recorded floods were observed in the year 1973 and 2006 on the Mahi River. The estimated discharges of 100 year return period range between 3676 m3/s and 47632 m3/s. The return period of the largest ever recorded flood on the Mahi River at Wankbori (40663 m3/s) is 127-yr. The recurrence interval of mean annual discharges (Qm) is between 2.73-yr and 3.95-yr, whereas, the return period of large floods (Qlf) range from 6.24-yr to 9.33-yr. The magnitude-frequency analysis curves represent the reliable estimates of the high floods. The fitted lines are fairly close to the most of the data points. Therefore, it can be reliably and conveniently used to read the recurrence intervals for a given magnitude and vice versa.","PeriodicalId":318194,"journal":{"name":"Hydrospatial Analysis","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131678723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 22

Groundwater Quality Analysis of an Emerging Part of Suburb of Pune Metropolitan Region Maharashtra India using GIS and Remote Sensing Techniques 基于GIS和遥感技术的印度马哈拉施特拉邦浦那都会区郊区新兴地区地下水水质分析

Hydrospatial Analysis Pub Date : 2019-03-23 DOI: 10.21523/GCJ3.18020202

S. Gaikwad, S. Gaikwad, D. Date, Somnath Borhade, A. Kandekar, A. Supekar, Ravindra S. Bhagat, Pravin Kambale, Ramdas B. Madale, Tushar Raut, O. Kadekar

{"title":"Groundwater Quality Analysis of an Emerging Part of Suburb of Pune Metropolitan Region Maharashtra India using GIS and Remote Sensing Techniques","authors":"S. Gaikwad, S. Gaikwad, D. Date, Somnath Borhade, A. Kandekar, A. Supekar, Ravindra S. Bhagat, Pravin Kambale, Ramdas B. Madale, Tushar Raut, O. Kadekar","doi":"10.21523/GCJ3.18020202","DOIUrl":"https://doi.org/10.21523/GCJ3.18020202","url":null,"abstract":"Thirty (30) groundwater samples have been collected during Pre-monsoon season-2015 to analyze the groundwater quality of Shikrapur and Talegaon Dhamdhare area. Maps were prepared for major physicochemical elements in groundwater and geomorphologic aspects using GIS and Remote Sensing techniques. Trend in cations is Na>Ca>Mg>K while in anions is Cl>HCO3>NO3>SO4. The average, Na+Ca representing 61.37% of total cations denoting major supply from weathering of plagioclase feldspar while Ca+Mg values, 67.92 % of cations contributed from olivine and pyroxene. Anions like Cl, SO4 and NO3 in groundwater is contributed from anthropogenic activities. The results were compared with WHO norms and found higher values for Electrical Conductivity (EC), Calcium (Ca), Potassium (K), Magnesium (Mg), Chloride (Cl) and Nitrate (NO3). Other elements show low to optimum values indicating good quality for drinking purposes, excluding some pockets from lower reaches. Regular quality monitoring for groundwater with rainwater harvesting is suggested to improve the quality of groundwater in the region.","PeriodicalId":318194,"journal":{"name":"Hydrospatial Analysis","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132919938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1