HR: 0800h
AN: H31C-1316    [Abstracts]
TI: Agricultural Impact on Groundwater in the Arid Sand Dunes: Statistical and Numerical Analyses with Isotopic Imaging of Groundwater and Hydrochemistry in Akdalinsk, Kazakhstan
AU: * Mishra, A
EM: anilm@bgu.ac.il
AF: Zuckerberg Institute for Water Research Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boqer Campus, 84990 Israel
AU: Yakirevich, A
EM: alexy@bgu.ac.il
AF: Zuckerberg Institute for Water Research Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boqer Campus, 84990 Israel
AU: Adar, E M
EM: eilon@bgu.ac.il
AF: Zuckerberg Institute for Water Research Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boqer Campus, 84990 Israel
AU: Vesselov, V V
EM: vesselov@mail.kz
AF: Institue of Hydrogeology and Hydrogeophysics, Valikhanov str., 94, Almaty, 00000 Kazakhstan
AU: Panichkin, V Y
EM: v panichkin@mail.kz
AF: Institue of Hydrogeology and Hydrogeophysics, Valikhanov str., 94, Almaty, 00000 Kazakhstan
AB: A classification scheme for partitioning groundwater levels and chemistry into homogeneous group was performed to analyze the agricultural impact on the groundwater quality. Multivariate statistical technique of Principal Component Analysis (PCA) provided insights into characteristics of groundwater of the Akdalinsk agricultural land of the arid sand dunes of Ily river basin, Kazakhstan. The result indicated that the dominant mode of variation in the groundwater water table is mostly described by inefficient irrigation system for excessive water demanding crops. The PCA quantified the relationship between hydrochemical variables, which were directly or indirectly affected by agricultural activities. Furthermore, stable isotopes and salinity data have been integrated for studying groundwater conditions of the study area. Positive δ¹⁸O-NO₃ relationship indicates infiltration of isotopically enriched, evaporated irrigation water along with nitrate fertilizer to the shallow groundwater. Simulations of groundwater flow were performed using both compartmental flow model and three-dimensional flow model (MODFLOW) to assess water balance components. The results indicate significant inefficient losses of water from the irrigation network and even from drainage collectors. The investigation shows that a combination of stable isotopes, hydrochemical data and numerical simulations can clearly characterize the impact of irrigation associated with fertilizers on the groundwater system.
DE: 1829 Groundwater hydrology
DE: 1830 Groundwater/surface water interaction
DE: 1842 Irrigation
DE: 1847 Modeling
DE: 1876 Water budgets
SC: Hydrology [H]
MN: Fall Meeting 2005