Mapping favorable groundwater potential recharge zones using a GIS-based analytical hierarchical process and probability frequency ratio model: A case study from an agro-urban region of Pakistan

被引:122
|
作者
Arshad, Arfan [1 ,2 ]
Zhang, Zhijie [3 ]
Zhang, Wanchang [1 ,2 ]
Dilawar, Adil [2 ,4 ]
机构
[1] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100049, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] Univ Connecticut, Ctr Environm Sci & Engn CESE, Dept Geog, Storrs, CT 06269 USA
[4] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, LREIS, 11A Dawn Rd, Beijing 100101, Peoples R China
关键词
Weightage overlay; Analytical hierarchical process (AHP) analysis; Frequency ratio (FR); Vulnerability; Groundwater recharge zones; Area under curve (AUC); PROCESS AHP; VULNERABILITY ASSESSMENT; INFORMATION-SYSTEM; DRASTIC MODEL; DELINEATION; BASIN; DISTRICT; TERRAIN; AQUIFER; INDIA;
D O I
10.1016/j.gsf.2019.12.013
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
In Punjab (Pakistan), the increasing population and expansion of land use for agriculture have severely exploited the regional groundwater resources. Intensive pumping has resulted in a rapid decline in the level of the water table as well as its quality. Better management practices and artificial recharge are needed for the development of sustainable groundwater resources. This study proposes a methodology to delineate favorable groundwater potential recharge zones (FPRI) by integrating maps of groundwater potential recharge index (PRI) with the DRASTIC-based groundwater vulnerability index (VI). In order to evaluate both indexes, different thematic layers corresponding to each index were overlaid in ArcGIS. In the overlay analysis, the weights (for various thematic layers) and rating values (for sub-classes) were allocated based on a review of published literature. Both were then normalized and modified using the analytical hierarchical process (AHP) and a frequency ratio model respectively. After evaluating PRI and FPRI, these maps were validated using the area under the curve (AUC) method. The PRI map indicates that 53% of the area assessed exists in very low to low recharge zones, 22% in moderate, and 25% in high to excellent potential recharge zones. The VI map indicates that 38% of the area assessed exists in very low to low vulnerability, 33% in moderate, and 29% in high to very high vulnerability zones. The FPRI map shows that the central region of Punjab is moderately-to-highly favorable for recharge due to its low vulnerability and high recharge potential. During the validation process, it was found that the AUC estimated with modified weights and rating values was 79% and 67%, for PRI and VI indexes, respectively. The AUC was less when evaluated using original weights and rating values taken from published literature. Maps of favorable groundwater potential recharge zones are helpful for planning and implementation of wells and hydraulic structures in this region.
引用
收藏
页码:1805 / 1819
页数:15
相关论文
共 8 条
  • [1] Groundwater Potential Assessment in Gannan Region, China, Using the Soil and Water Assessment Tool Model and GIS-Based Analytical Hierarchical Process
    Zhang, Zeyi
    Zhang, Shuangxi
    Li, Mengkui
    Zhang, Yu
    Chen, Meng
    Zhang, Qing
    Dai, Zhouqing
    Liu, Jing
    REMOTE SENSING, 2023, 15 (15)
  • [2] Identification of potential groundwater recharge zones in Vaigai upper basin, Tamil Nadu, using GIS-based analytical hierarchical process (AHP) technique
    Kaliraj, S.
    Chandrasekar, N.
    Magesh, N. S.
    ARABIAN JOURNAL OF GEOSCIENCES, 2014, 7 (04) : 1385 - 1401
  • [3] Scrutinizing the performance of GIS-based analytical Hierarchical process approach and frequency ratio model in flood prediction - Case study of Kakegawa, Japan
    Elsadek, Wael M.
    Wahba, Mohamed
    Al-Arifi, Nassir
    Kanae, Shinjiro
    El-Rawy, Mustafa
    AIN SHAMS ENGINEERING JOURNAL, 2024, 15 (02)
  • [4] Delineation of groundwater potential zones using remotely sensed data and GIS-based analytical hierarchy process: Insights from the Geba river basin in Tigray, Northern Ethiopia
    Godif, Gebremedhin
    Manjunatha, B. R.
    JOURNAL OF HYDROLOGY-REGIONAL STUDIES, 2023, 46
  • [5] Identification of groundwater potential recharge zones using GIS-based multi-criteria decision analysis: A case study of semi-arid midlands Manyara fractured aquifer, North-Eastern Tanzania
    Makonyo, Michael
    Msabi, Michael M.
    REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, 2021, 23
  • [6] GIS-based landslide susceptibility mapping using Frequency ratio method: A case study from Adigrat-Mugulat mountain chains, northern Ethiopia
    Abay, Asmelash
    Mulugeta, Aklilu
    Mebrahtu, Gebreslassie
    SCIENTIFIC AFRICAN, 2025, 28
  • [7] Flood hazard susceptibility areas mapping using Analytical Hierarchical Process (AHP), Frequency Ratio (FR) and AHP-FR ensemble based on Geographic Information Systems (GIS): a case study for Kastamonu, Turkiye
    Yilmaz, Osman Salih
    ACTA GEOPHYSICA, 2022, 70 (06) : 2747 - 2769
  • [8] A groundwater potential zone mapping approach for semi-arid environments using remote sensing (RS), geographic information system (GIS), and analytical hierarchical process (AHP) techniques: a case study of Buffalo catchment, Eastern Cape, South Africa
    Owolabi, Solomon Temidayo
    Madi, Kakaba
    Kalumba, Ahmed Mulakazi
    Orimoloye, Israel Ropo
    ARABIAN JOURNAL OF GEOSCIENCES, 2020, 13 (22)