Analyzing water level variability in Odisha: insights from multi-year data and spatial analysis

被引:0
|
作者
Mohanty, Litan Kumar [1 ]
Panda, Banajarani [1 ,2 ]
Samantaray, Sambit [1 ]
Dixit, Ankur [3 ]
Bhange, Sandesh [4 ]
机构
[1] CGWB, SER, Bhubaneswar, India
[2] Ravenshaw Univ, Cuttack, India
[3] Cornell Univ, Ithaca, NY USA
[4] CGWB, CHQ, Faridabad, India
关键词
Groundwater; Water level trend; Hotspot analysis; GIS; Critical;
D O I
10.1007/s42452-024-05958-3
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
A comprehensive analysis of long-term water level trends is essential for freshwater sustainability. Given that Odisha heavily relies on agriculture, the monitoring and management of groundwater and its fluctuations are imperative for ensuring future sustainability in the state. Here, we analyzed the trend in Groundwater using water level data for a 30-year period (1990-2020) for the entire Odisha region. Moreover, to determine the long term variability, critical zones of future groundwater variability and controlling parameters of the water level change, we used spatio-temporal water level data of 746 locations. Water level rise of coastal districts during post-monsoon (POM), corresponds to the intensity of rainfall received, thus rising, however other districts of Odisha, showing decline in water level during the same season is due to shortage of rainfall, increase in population at a sudden, and over pumping due to industrial activities. Similarly, during pre-monsoon (PRM), water level shows an increasing trend in hard rock terrain of Odisha implying rabi crop irrigation, high density drainage network and lesser population density. Feature selection techniques were used in this study to know the parameters controlling most to this water level fluctuation in the entire Odisha state. Precipitation followed by landuse & landcover, lithology and population density are controlling the most for the long term water level change. Drainage, elevation, lithology and slope are positively related to the water level change while others are negatively related. It is also inferred that the districts like Mayurbhanj, Sundargarh, Keonjhar, Kandhamal, Boudh, Dhenkanal, Gajapati, Koraput and Kalahandi contain most of the high critical zone concerning future availability of groundwater while most of the coastal regions are safe. Water level trend analysis was performed taking 30 years of historical data.Hardrock regions are prominent zones of declining in water level than the alluvium parts.Precipitation followed by landuse & land cover, lithology and population density are controlling the most for the long-term water level change.Hardrock regions contain most of the high critical zone concerning future availability of groundwater.Most of the coastal regions are safe pertaining to future availability of groundwater.
引用
收藏
页数:19
相关论文
共 50 条
  • [31] Seasonal insights for integrative mosquito management from multi-year baseline entomological data on Aedes aegypti in Lee County, Florida
    Morreale, Rachel
    Stenhouse, Steven
    Carvalho, Danilo O.
    Hahn, Daniel A.
    Bourtzis, Kostas
    Lloyd, Aaron
    Gale, Thomas Wayne
    Hoel, David F.
    PLOS ONE, 2024, 19 (10):
  • [32] Analysis of spatial distribution and multi-year trend of the remotely sensed soil moisture on the Tibetan Plateau
    Liu Qiang
    Du JinYang
    Shi JianCheng
    Jiang LingMei
    SCIENCE CHINA-EARTH SCIENCES, 2013, 56 (12) : 2173 - 2185
  • [33] Development and Evaluation of a Multi-Year Fractional Surface Water Data Set Derived from Active/Passive Microwave Remote Sensing Data
    Schroeder, Ronny
    McDonald, Kyle C.
    Chapman, Bruce D.
    Jensen, Katherine
    Podest, Erika
    Tessler, Zachary D.
    Bohn, Theodore J.
    Zimmermann, Reiner
    REMOTE SENSING, 2015, 7 (12): : 16688 - 16732
  • [34] Development and evaluation of a multi-year fractional surface water data set derived from active/passive microwave remote sensing data
    Department of Earth and Atmospheric Sciences, CUNY Environmental CrossRoads Initiative and NOAA-CREST Institute, The City College of New York, City University of New York, New York
    NY
    10031, United States
    不详
    70593, Germany
    不详
    CA
    91109, United States
    不详
    NY
    10031, United States
    不详
    AZ
    85287, United States
    Remote Sens., 12 (16688-16732):
  • [35] Analysis of spatial distribution and multi-year trend of the remotely sensed soil moisture on the Tibetan Plateau
    Qiang Liu
    JinYang Du
    JianCheng Shi
    LingMei Jiang
    Science China Earth Sciences, 2013, 56 : 2173 - 2185
  • [36] Analysis of spatial distribution and multi-year trend of the remotely sensed soil moisture on the Tibetan Plateau
    LIU Qiang
    DU JinYang
    SHI JianCheng
    JIANG LingMei
    ScienceChina(EarthSciences), 2013, 56 (12) : 2173 - 2185
  • [37] A multi-year record of hydrographic and bio-optical properties in the Gulf of Maine: I. Spatial and temporal variability
    Balch, WM
    Drapeau, DT
    Bowler, BC
    Booth, ES
    Goes, JI
    Ashe, A
    Frye, JM
    PROGRESS IN OCEANOGRAPHY, 2004, 63 (1-2) : 57 - 98
  • [38] Multi-year assessment of variability in spatial and social relationships in a subterranean rodent, the highland tuco-tuco (Ctenomys opimus)
    O'Brien, Shannon L.
    Tammone, Mauro N.
    Cuello, Pablo A.
    Lacey, Eileen A.
    BEHAVIORAL ECOLOGY AND SOCIOBIOLOGY, 2021, 75 (06)
  • [39] Multi-year assessment of variability in spatial and social relationships in a subterranean rodent, the highland tuco-tuco (Ctenomys opimus)
    Shannon L. O’Brien
    Mauro N. Tammone
    Pablo A. Cuello
    Eileen A. Lacey
    Behavioral Ecology and Sociobiology, 2021, 75
  • [40] Passing the 10-year Mark - a Multi-Year, Multi-Technology Analysis of Ni-Cd Field Data
    Lansburg, Stuart
    Brenier, Antoine
    Boulais, Rodolphe
    32ND INTERNATIONAL TELECOMMUNICATIONS ENERGY CONFERENCE (INTELEC), 2010,