Groundwater Drought Analysis under Data Scarcity: The Case of the Salento Aquifer (Italy)

被引:19
作者
Balacco, Gabriella [1 ]
Alfio, Maria Rosaria [1 ]
Fidelibus, Maria Dolores [1 ]
机构
[1] Polytech Univ Bari, DICATECh Dept Civil Environm Land Construct & Che, Via E Orabona 4, I-70125 Bari, Italy
关键词
groundwater; drought; SPI; SPEI; STANDARDIZED PRECIPITATION INDEX; CLIMATE-CHANGE; TIME SCALES; DEPLETION; RECHARGE; SURFACE; FUTURE;
D O I
10.3390/su14020707
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Salento is a regional coastal karst aquifer located in Southern Italy with a highly complex geological, geomorphological, and hydrogeological structure. High and unruly exploitation of groundwater from licensed and unlicensed wells for irrigation and drinking purposes affects groundwater, with consequent degradation of its qualitative and quantitative status. The increased frequency of meteorological droughts and rising temperatures may only worsen the already compromised situation. The absence of complete and enduring monitoring of groundwater levels prevents the application of some methodologies, which require long time series. The analysis of climate indexes to describe the groundwater level variation is a possible approach under data scarcity. However, this approach may not be obvious for complex aquifers (in terms of scale, intrinsic properties, and boundary conditions) where the response of the groundwater to precipitation is not necessarily linear. Thus, the proposed research deals with the assessment of the response of the Salento aquifer to precipitation variability based on correlations between the Standardized Precipitation Index (SPI) and Standardized Precipitation and Evapotranspiration Index (SPEI) and groundwater levels for nine monitoring wells from July 2007 to December 2011. The study aims at evaluating the ability of the above indicators to explain the behavior of groundwater on complex aquifers. Moreover, it has the general aim to verify their more general reliable application. Results of three different correlation factors outline direct and statistically significant correlations between the time series. They describe the Salento aquifer as a slow filter, with a notable inertial behavior in response to meteorological events. The SPI 18-months demonstrates to be a viable candidate to predict the groundwater response to precipitation variability for the Salento aquifer.
引用
收藏
页数:18
相关论文
共 66 条
  • [1] Agresti A, 2010, Analysis of ordinal categorical data, V75
  • [2] Drought Index as Indicator of Salinization of the Salento Aquifer (Southern Italy)
    Alfio, Maria Rosaria
    Balacco, Gabriella
    Parisi, Alessandro
    Totaro, Vincenzo
    Fidelibus, Maria Dolores
    [J]. WATER, 2020, 12 (07)
  • [3] From meteorological to hydrological drought using standardised indicators
    Barker, Lucy J.
    Hannaford, Jamie
    Chiverton, Andrew
    Svensson, Cecilia
    [J]. HYDROLOGY AND EARTH SYSTEM SCIENCES, 2016, 20 (06) : 2483 - 2505
  • [4] Estimating the Impact of Drought on Groundwater Resources of the Marshall Islands
    Barkey, Brandon L.
    Bailey, Ryan T.
    [J]. Water, 2017, 9 (01):
  • [5] Bhuiyan C., 2004, P 20 ISPRS C IST TUR
  • [6] Regional analysis of groundwater droughts using hydrograph classification
    Bloomfield, J. P.
    Marchant, B. P.
    Bricker, S. H.
    Morgan, R. B.
    [J]. HYDROLOGY AND EARTH SYSTEM SCIENCES, 2015, 19 (10) : 4327 - 4344
  • [7] Analysis of groundwater drought building on the standardised precipitation index approach
    Bloomfield, J. P.
    Marchant, B. P.
    [J]. HYDROLOGY AND EARTH SYSTEM SCIENCES, 2013, 17 (12) : 4769 - 4787
  • [8] Coastal and inland karst morphologies driven by sea level stands: a GIS based method for their evaluation
    Canora, Filomena
    Fidelibus, Dolores
    Spilotro, Giuseppe
    [J]. EARTH SURFACE PROCESSES AND LANDFORMS, 2012, 37 (13) : 1376 - 1386
  • [9] Groundwater depletion during drought threatens future water security of the Colorado River Basin
    Castle, Stephanie L.
    Thomas, Brian F.
    Reager, John T.
    Rodell, Matthew
    Swenson, Sean C.
    Famiglietti, James S.
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2014, 41 (16) : 5904 - 5911
  • [10] Changnon SA, 1988, J CLIMATE, V1, P1239, DOI 10.1175/1520-0442(1988)001<1239:RBPASG>2.0.CO