Regional Groundwater Assessment of Krishna River Basin Using Integrated GIS Approach

被引:22
作者
Harini, P. [1 ]
Sahadevan, Dinesh Kumar [1 ]
Das, I. C. [2 ]
Manikyamba, C. [1 ]
Durgaprasad, M. [1 ]
Nandan, M. J. [1 ]
机构
[1] CSIR, NGRI, Groundwater Bldg, Hyderabad, Telangana, India
[2] Natl Remote Sensing Ctr, Hyderabad, India
关键词
Groundwater; Weighted index overlay analysis; GIS; Thematic layers; Planning and management; POTENTIAL ZONES; TOOL; IDENTIFICATION; EXPLORATION; IRRIGATION; LINEAMENTS; PREDICTION; DECISION; QUALITY;
D O I
10.1007/s12524-018-0780-4
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The groundwater occurrence and movement within the flow systems are governed by many natural factors like topography, geology, geomorphology, lineament structures, soil, drainage network and land use land cover (LULC). Due to complex natural geological/hydro-geological regime a systematic planning is needed for groundwater exploitation. It is even more important to characterize the aquifer system and delineate groundwater potential zones in different geological terrain. The study employed integration of weighted index overlay analysis (WIOA) and geographical information system (GIS) techniques to assess the groundwater potential zones in Krishna river basin, India and the validation of the result with existing groundwater levels. Different thematic layers such as geology, geomorphology, soil, slope, LULC, drainage density, lineament density and annual rainfall distribution were integrated with WIOA using spatial analyst tools in Arc-GIS 10.1. These thematic layers were prepared using Geological survey of India maps, European Digital Archive of Soil Maps, Bhuvan (Indian-Geo platform of ISRO, NRSC) and 30 m global land cover data. Drainage, watershed delineation and slope were prepared from the Shuttle Radar Topography Mission digital elevation model of 30 m resolution data. WIOA is being carried out for deriving the normalized score for the suitability classification. Weight factor is assigned for every thematic layer and their individual feature classes considering their significant importance in groundwater occurrence. The final map of the study area is categorized into five classes very good, good, moderate, poor and very poor groundwater potential zones. The result describes the groundwater potential zones at regional scale which are in good agreement with observed ground water condition at field level. Thus, the results derived can be very much useful in planning and management of groundwater resources in a regional scale.
引用
收藏
页码:1365 / 1377
页数:13
相关论文
共 74 条
  • [41] Relationship between lineaments and ground water occurrence in western Botswana
    Magowe, M
    Carr, JR
    [J]. GROUND WATER, 1999, 37 (02) : 282 - 286
  • [42] Geospatial and geostatistical approach for groundwater potential zone delineation
    Mallick, Javed
    Singh, Chander Kumar
    Al-Wadi, Hussein
    Ahmed, Mohd
    Rahman, Atiqur
    Shashtri, Satyanarayan
    Mukherjee, Saumitra
    [J]. HYDROLOGICAL PROCESSES, 2015, 29 (03) : 395 - 418
  • [43] Meijerink A., 2000, REMOTE SENSING HYDRO, P305, DOI [DOI 10.1007/978-3-642-59583-7_14, 10.1007/978-3-642-59583-7_14]
  • [44] On the sensitivity of drainage density to climate change
    Moglen, GE
    Eltahir, EAB
    Bras, RL
    [J]. WATER RESOURCES RESEARCH, 1998, 34 (04) : 855 - 862
  • [45] Delineation of Groundwater Potential Zones in Arid Region of India-A Remote Sensing and GIS Approach
    Mukherjee, Prabir
    Singh, Chander Kumar
    Mukherjee, Saumitra
    [J]. WATER RESOURCES MANAGEMENT, 2012, 26 (09) : 2643 - 2672
  • [46] Mukherjee S., 1996, HYDROL J, V19, P53
  • [47] Delineation of groundwater potential zones using remote sensing, GIS, and AHP technique in Tehran-Karaj plain, Iran
    Panahi, Mohammad Reza
    Mousavi, S. Morteza
    Rahimzadegan, Majid
    [J]. ENVIRONMENTAL EARTH SCIENCES, 2017, 76 (23)
  • [48] Pratap K., 2000, J. Indian Soc. Remote Sensing, V28, P249, DOI DOI 10.1007/BF02990815
  • [49] Identification of Groundwater Potential Zones of a Tropical River Basin (Kerala, India) Using Remote Sensing and GIS Techniques
    Preeja, K. R.
    Joseph, Sabu
    Thomas, Jobin
    Vijith, H.
    [J]. JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2011, 39 (01) : 83 - 94
  • [50] Groundwater potential mapping at Kurdistan region of Iran using analytic hierarchy process and GIS
    Rahmati, Omid
    Samani, Aliakbar Nazari
    Mahdavi, Mohamad
    Pourghasemi, Hamid Reza
    Zeinivand, Hossein
    [J]. ARABIAN JOURNAL OF GEOSCIENCES, 2015, 8 (09) : 7059 - 7071