ENSO modulated groundwater variations in a river basin of Central India

被引:6
作者
Rishma, C. [1 ]
Katpatal, Yashwant B. [1 ]
机构
[1] Visvesvaraya Natl Inst Technol, Nagpur 440010, Maharashtra, India
来源
HYDROLOGY RESEARCH | 2019年 / 50卷 / 02期
关键词
climate change; discharge; ENSO; GIS; groundwater; recharge; VARIABILITY;
D O I
10.2166/nh.2018.154
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Several previous studies have examined the traceable regional impacts of El Nino Southern Oscillation (ENSO) on groundwater level (GWL) but it remains a question whether the ENSO impacts on groundwater can be established in smaller basins using statistical techniques. The present study attempts to record the ENSO impacts on the groundwater availability in Venna basin, Maharashtra by proposing a combination of statistical and spatial analysis. Utilizing the GWL, the study estimates the spatial variability of GWL, groundwater anomalies, groundwater recharge and discharge using geographic information system (GIS) and quantitative variations in groundwater using statistical techniques. The study also highlights the applicability of the Kolmogorov-Smirnov test in hydrometeorological studies. Analyses reveal the association of deeper GWLs and higher discharge with the El Nino, as opposed to shallower GWLs and higher recharge with La Nina. The two-sample Kolmogorov-Smirnov test confirms the discrepancy in the cumulative distribution of GWL between different ENSO phases. Mann-Kendall, Sen slope and Mann-Whitney tests ascertain the variation of GWL and recharge as well as ENSO impacts in the command area (area irrigated by reservoir using the canal networks) and non-command areas. A significant difference in recharge between El Nino and La Nina is observed in the command as well as in the non-command areas.
引用
收藏
页码:793 / 806
页数:14
相关论文
共 50 条
  • [11] Hydrological assessment of groundwater potential zones of Cauvery River Basin, India: a geospatial approach
    Arulbalaji, P.
    Sreelash, K.
    Maya, K.
    Padmalal, D.
    ENVIRONMENTAL EARTH SCIENCES, 2019, 78 (24)
  • [12] Variations of precipitation and runoff in the Bagmati river basin, Bihar, India
    Kumar, Keshav
    Singh, Vivekanand
    Roshni, Thendiyath
    WATER PRACTICE AND TECHNOLOGY, 2022, 17 (12) : 2554 - 2569
  • [13] Precipitation and runoff variations in the Yellow River Basin of China
    Chang, Jianxia
    Wei, Jie
    Wang, Yimin
    Yuan, Meng
    Guo, Jiacheng
    JOURNAL OF HYDROINFORMATICS, 2017, 19 (01) : 138 - 155
  • [14] EFFECT OF ENSO-INDUCED CLIMATE VARIABILITY ON GROUNDWATER LEVELS IN THE LOWER APALACHICOLA-CHATTAHOOCHEE-FLINT RIVER BASIN
    Mitra, S.
    Srivastava, P.
    Singh, S.
    Yates, D.
    TRANSACTIONS OF THE ASABE, 2014, 57 (05) : 1393 - 1403
  • [15] Effect of ENSO-induced climate variability on groundwater levels in the lower apalachicola-chattahoochee-flint river basin
    Mitra, Subhasis, 1600, American Society of Agricultural and Biological Engineers (57): : 1393 - 1403
  • [16] Late Quaternary evolution of the Belan River Basin, Central India
    Narzary, B.
    Singh, S.
    Mahadev
    Shivsager, V.
    Jaiswal, M. K.
    Singh, P.
    Chaubey, K.
    Prakash, K.
    RADIATION PHYSICS AND CHEMISTRY, 2024, 216
  • [17] Variations in the dissolved carbon concentrations of the shallow groundwater in a desert inland river basin
    Xu, Jia
    Ling, Hongbo
    Zhang, Guangpeng
    Yan, Junjie
    Deng, Mingjiang
    Wang, Guangyan
    Xu, Shengwu
    JOURNAL OF HYDROLOGY, 2021, 602
  • [18] Statistical downscaling of temperature using three techniques in the Tons River basin in Central India
    Duhan, Darshana
    Pandey, Ashish
    THEORETICAL AND APPLIED CLIMATOLOGY, 2015, 121 (3-4) : 605 - 622
  • [19] Spatial and Temporal Variations of Groundwater Level: A Case Study of Wainganga Sub-basin, Nagpur, India
    Singh, Chandan Kumar
    Katpatal, Yashwant B.
    GROUNDWATER, ICWEES-2016, 2018, 76 : 21 - 30
  • [20] Perfluorooctane Sulfonic Acid (PFOS) in River Water and Groundwater along Bharathapuzha River Basin, India
    Kanjiyangat, Vivek
    POLLUTION, 2023, 9 (02): : 494 - 500