Using Geospatial Techniques and Analytic Hierarchy Process to Map Groundwater Potential Zones

被引:3
|
作者
Muavhi, Nndanduleni [1 ]
Mutoti, Mulalo Isaih [2 ]
机构
[1] Univ Limpopo, Dept Geol & Min, Sovenga, South Africa
[2] Univ Venda, Dept Earth Sci, Thohoyandou, South Africa
关键词
FREQUENCY RATIO MODEL; RECHARGE ESTIMATION; REGION; AREA; MANAGEMENT; PROVINCE; BASIN;
D O I
10.1111/gwat.13257
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
This study is conducted in Luvuvhu River Catchment (LRC) of South Africa, which has numerous major agricultural farms that are located in the upper catchment, especially in Levubu Valley. The significant irrigation developments in upper catchment have resulted in a decrease in the yield of surface water resources to such an extent that these resources struggle to meet domestic and industrial demand. The aim of this study is to delineate groundwater potential zones (GWPZ) as a way of establishing alternative water resources to relieve the overly stressed surface water resources. Various datasets are processed to extract groundwater controlling factors. Map layers of controlling factors are assigned weights according to their relative importance to groundwater occurrence using analytic hierarchy process and then integrated based on weighted sum analysis to generate GWPZ map. Rainfall infiltration breakthrough (RIB) and area under curve (AUC) are used to validate the GWPZ map. GWPZ map shows that lower catchment has very high groundwater potential covering about 409 km(2). Nonetheless, about 50% of LRC spatially falls within high groundwater potential zone. Groundwater recharge, based on RIB for three boreholes, that is, A9N0007, A9N0008, and A9N0018 around Levubu Valley is estimated at 8.3, 15.4, and 16.2%, respectively. Boreholes A9N0018 and A9N0018 correspond to moderate to high groundwater potential zone, whereas A9N007 coincides with low to moderate zone. Considering the groundwater recharge estimates and associated potential zones, RIB results correspond well with GWPZ map. Also, an AUC, based on 26 boreholes, of 70.9% is achieved; thus, indicating a reliable model.
引用
收藏
页码:494 / 509
页数:16
相关论文
共 50 条
  • [31] Fuzzy logic algorithm based analytic hierarchy process for delineation of groundwater potential zones in complex topography
    Sudipa Halder
    Malabika Biswas Roy
    Pankaj Kumar Roy
    Arabian Journal of Geosciences, 2020, 13
  • [32] Fuzzy logic algorithm based analytic hierarchy process for delineation of groundwater potential zones in complex topography
    Halder, Sudipa
    Roy, Malabika Biswas
    Roy, Pankaj Kumar
    ARABIAN JOURNAL OF GEOSCIENCES, 2020, 13 (13)
  • [33] Geospatial techniques for groundwater potential zones delineation in a coastal municipality, Ghana
    Danso, Samuel Yaw
    Ma, Yi
    EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES, 2023, 26 (01): : 75 - 84
  • [34] Mapping Aquifer Recharge Potential Zones (ARPZ) Using Integrated Geospatial and Analytic Hierarchy Process (AHP) in an Arid Region of Saudi Arabia
    Khan, Mohd Yawar Ali
    ElKashouty, Mohamed
    Zaidi, Faisal K.
    Egbueri, Johnbosco C.
    REMOTE SENSING, 2023, 15 (10)
  • [35] Assessment of groundwater potential zones and mapping using GIS/RS techniques and analytic hierarchy process: A case study on saline soil area, Nakhon Ratchasima, Thailand
    Phoemphon, Watcharin
    Terakulsatit, Bantita
    AIMS GEOSCIENCES, 2023, 9 (01): : 49 - 67
  • [36] Modeling and mapping geospatial distribution of groundwater potential zones in Darjeeling Himalayan region of India using analytical hierarchy process and GIS technique
    Roy, Subham
    Bose, Arghadeep
    Mandal, Goutam
    MODELING EARTH SYSTEMS AND ENVIRONMENT, 2022, 8 (02) : 1563 - 1584
  • [37] Modeling and mapping geospatial distribution of groundwater potential zones in Darjeeling Himalayan region of India using analytical hierarchy process and GIS technique
    Subham Roy
    Arghadeep Bose
    Goutam Mandal
    Modeling Earth Systems and Environment, 2022, 8 : 1563 - 1584
  • [38] 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
  • [39] 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
  • [40] Predicting groundwater recharge potential zones using geospatial technique
    Akter, Aysha
    Uddin, Abir Md Humam
    Ben Wahid, Khalid
    Ahmed, Shoukat
    SUSTAINABLE WATER RESOURCES MANAGEMENT, 2020, 6 (02)