Evaluation of Groundwater Potential Zones Using Electrical Resistivity and GIS in Noyyal River Basin, Tamil Nadu

被引:15
|
作者
Selvarani, A. Geetha [1 ]
Elangovan, K. [3 ]
Kumar, C. Siva [2 ]
机构
[1] KSR Coll Engn, Dept Civil Engn, Tiruchencode 637215, Tamil Nadu, India
[2] KSR Coll Engn, Dept Mech Engn, Tiruchencode 637215, Tamil Nadu, India
[3] PSG Coll Technol, Dept Civil Engn, Coimbatore 641004, Tamil Nadu, India
关键词
Groundwater; GIS; Lineament density; Drainage Density; Geomorphology; Noyyal river; Tamil Nadu; IDENTIFICATION; QUALITY; AREA;
D O I
10.1007/s12594-016-0431-8
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The purpose of this study was to identify the groundwater potential zones in Noyyal river basin using GIS and electrical resistivity. River Noyyal was perennial with good flow till early seventies. In recent years, the scene has changed drastically and the river has become practically seasonal and receives copious water during northeast monsoon from September to November. The rest of the years it remains more or less dry. Since the surface water resources in the area are inadequate to meet the local needs it is necessary to explore groundwater resources which has not been done properly. Hence various thematic maps have been used for the preparation of groundwater prospective map by integrating geology, geomorphology, slope, drainage and lineament of the study area. Electrical resistivity survey was conducted at 52 locations by using Schlumberger configuration. From this weathered thickness and depth to basement have been taken and overlaid for identifying groundwater potential sites and finally this result was compared with yield data. The interpretation shows that the entire study area has moderate to good category of groundwater potential.
引用
收藏
页码:573 / 582
页数:10
相关论文
共 50 条
  • [31] Delineation of groundwater potential zones in Araniar River basin, Tamil Nadu, India: an integrated remote sensing and geographical information system approach
    I. Jasmin
    P. Mallikarjuna
    Environmental Earth Sciences, 2015, 73 : 3833 - 3847
  • [32] Delineation of groundwater potential zones in Araniar River basin, Tamil Nadu, India: an integrated remote sensing and geographical information system approach
    Jasmin, I.
    Mallikarjuna, P.
    ENVIRONMENTAL EARTH SCIENCES, 2015, 73 (07) : 3833 - 3847
  • [33] Assessment of Groundwater Quality using GIS Techniques in Vaniyar Watershed, Ponnaiyar River, Tamil Nadu
    Venkateswaran, S.
    Deepa, S.
    INTERNATIONAL CONFERENCE ON WATER RESOURCES, COASTAL AND OCEAN ENGINEERING (ICWRCOE'15), 2015, 4 : 1283 - 1290
  • [34] Groundwater potential zones delineation using geo-electrical resistivity method and GIS for Coimbatore, India
    Shantharam, Y.
    Elangovan, K.
    INDIAN JOURNAL OF GEO-MARINE SCIENCES, 2018, 47 (05) : 1088 - 1095
  • [35] Assessment of groundwater potential zones in Vellore district, Tamil Nadu, India using geospatial techniques
    G. Kanagaraj
    S. Suganthi
    L. Elango
    N. S. Magesh
    Earth Science Informatics, 2019, 12 : 211 - 223
  • [36] Assessment of groundwater potential zones in Vellore district, Tamil Nadu, India using geospatial techniques
    Kanagaraj, G.
    Suganthi, S.
    Elango, L.
    Magesh, N. S.
    EARTH SCIENCE INFORMATICS, 2019, 12 (02) : 211 - 223
  • [37] Groundwater investigation and possible zones identification through schlumberger resistivity data using GIS tools in Omalur Taluk, Salem District, Tamil Nadu, India
    Karunanidhi, D.
    Vennila, G.
    Suresh, M.
    Rangarajan, R.
    INDIAN JOURNAL OF GEO-MARINE SCIENCES, 2014, 43 (04) : 542 - 553
  • [38] Groundwater quality in the hard rock area of the Gadilam river basin, Tamil Nadu
    Aravindan, S
    Manivel, M
    Chandrasekar, SVN
    JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA, 2004, 63 (06) : 625 - 635
  • [39] Assessment of groundwater quality and hydrogeochemistry of Manimuktha River basin, Tamil Nadu, India
    Kumar, S. Krishna
    Rammohan, V.
    Sahayam, J. Dajkumar
    Jeevanandam, M.
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2009, 159 (1-4) : 341 - 351
  • [40] Identification of groundwater potential zones using remote sensing, GIS, machine learning and electrical resistivity tomography techniques in Guelma basin, northeastern Algeria
    Braham, Massinissa
    Boufekane, Abdelmadjid
    Bourenane, Hamid
    Amara, Baya Nait
    Bensalem, Rabah
    Oubaiche, El Hadi
    Bouhadad, Youcef
    GEOCARTO INTERNATIONAL, 2022, 37 (26) : 12042 - 12072