Coupled Groundwater Drought and Water Scarcity Index for Intensively Overdrafted Aquifers
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VIEW THE REPLYPublication: Journal of Hydrologic Engineering
Volume 24, Issue 4
Abstract
Drought and water scarcity are key aspects in the management of groundwater resources in regions with excessive withdrawal. In this paper, groundwater drought, water scarcity, and their compound impact were analyzed based on a new evaluation index in overdrafted aquifers. Groundwater drought analysis was performed using the standardized groundwater index (SGI) on the naturalized groundwater level time series. For this purpose, the MODFLOW groundwater simulation tool and a surrogate artificial neural network model were adopted to obtain the time series of the naturalized groundwater level in Qazvin plain, central Iran, over the 1966–2016 period. Moreover, a water scarcity index, namely the deficit rate (DR), and a droughtwater scarcity (DWS) index were introduced. Results showed that abstraction could cause a severe negative trend in the groundwater level in comparison with natural causes (i.e., drought). Furthermore, use of the DWS index revealed that the safe yield of the Qazvin aquifer was about 44% of the existing abstraction volume. It is concluded that the DWS index represents a comprehensive criterion in water resource assessment and groundwater safe yield computations.
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References
Allen, R. G., M. E. Jensen, J. L. Wright, and R. D. Burman. 1989. “Operational estimates of reference evapotranspiration.” Agron. J. 81 (4): 650–662. https://doi.org/10.2134/agronj1989.00021962008100040019x.
Bloomfield, J. P., I. Gaus, and S. D. Wade. 2003. “A method for investigating potential impacts of climate change scenarios on annual minimum groundwater levels.” Water Environ. J. 17 (2): 86–91. https://doi.org/10.1111/j.1747-6593.2003.tb00439.x.
Bloomfield, J. P., and B. P. Marchant. 2013. “Analysis of groundwater drought building on the standardised precipitation index approach.” Hydrol. Earth Syst. Sci. 17 (12): 4769–4787. https://doi.org/10.5194/hess-17-4769-2013.
Bloomfield, J. P., B. P. Marchant, S. H. Bricker, and R. B. Morgan. 2015. “Regional analysis of groundwater droughts using hydrograph classification.” Hydrol. Earth Syst. Sci. 19 (10): 4327–4344. https://doi.org/10.5194/hess-19-4327-2015.
Brown, A., and M. D. Matlock. 2011. A review of water scarcity indices and methodologies. Arkansas: Sustainability Consortium, Univ. of Arkansas.
Chang, T. J., and C. B. Teoh. 1995. “Use of the Kriging method for studying characteristics of groundwater droughts.” J. Am. Water Resour. Assoc. 31 (6): 1001–1007. https://doi.org/10.1111/j.1752-1688.1995.tb03416.x.
Dehghani, M., B. Saghafian, A. Farokhnia, and R. Noori. 2014. “Uncertainty analysis of streamflow drought forecast using artificial neural networks and Monte-Carlo simulation.” Int. J. Climatol. 34 (4): 1169–1180. https://doi.org/10.1002/joc.3754.
Eghbali, A. H., and K. Behzadian, and F. Hooshyaripor, and R. Farmani, and A. P. Duncan. 2017. “Improving prediction of dam failure peak outflow using neuroevolution combined with K-means clustering.” J. Hydrol. Eng. 22 (6): 04017007. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001505.
EU (European Union). 2007. Addressing the challenge of water scarcity and droughts in the European Union. Brussels, Belgium: Communication from the Commission to the European Parliament and the Council.
Faghihi, N., F. Kave, and H. Babazade. 2010. “Prediction of aquifer reaction to different hydrological and management scenarios using visual MODFLOW model—Case study of Qazvin plain.” J. Water Sci. Res. 2 (1): 39–45.
Heydari, F., B. Saghafian, and M. Delavar. 2016. “Coupled quantity-quality simulation model for conjunctive surface-groundwater use.” Water Resour. Manage. 30 (12): 4381–4397. https://doi.org/10.1007/s11269-016-1426-3.
Holena, M., D. Linke, and U. Rodemerck. 2010. “Neural networks as surrogate models for measurements in optimization algorithms.” In Proc., Int. Conf. on Analytical and Stochastic Modeling Techniques and Applications, 351–356. Berlin: Springer.
Huang, W. C., and C. C. Chou. 2005. “Drought early warning system in reservoir operation: Theory and practice.” Water Resour. Res. 41 (11): 1–12. https://doi.org/10.1029/2004WR003830.
Huang, W. C., and L. C. Yuan. 2004. “A drought early warning system on real time multi reservoir operation.” Water Resour. Res. 40 (6): 1–13. https://doi.org/10.1029/2003WR002910.
Kalf, F. R. P., and D. R. Woolley. 2005. “Application and methodology of determining sustainable yield in groundwater systems.” Hydrogeol. J. 13 (1): 295–312. https://doi.org/10.1007/s10040-004-0401-x.
Kharraz, J. E., A. El-Sadek, N. Ghaffour, and E. Mino. 2012. “Water scarcity and drought in WANA countries.” Procedia Eng. J. 33: 14–29. https://doi.org/10.1016/j.proeng.2012.01.1172.
Kumar, R., J. L. Musuuza, A. F. Van Loon, A. J. Teuling, R. Barthel, J. Ten Broek, J. Mai, L. Samaniego, and S. Attinger. 2015. “Multiscale evaluation of the standardized precipitation index as a groundwater drought indicator.” Hydrol. Earth Syst. Sci. Discuss. 12 (8): 7405–7436. https://doi.org/10.5194/hessd-12-7405-2015.
Li, B., and M. Rodell. 2015. “Evaluation of a model-based groundwater drought indicator in the conterminous US.” J. Hydrol. 526: 78–88. https://doi.org/10.1016/j.jhydrol.2014.09.027.
MacQueen, J. 1967. “Some methods for classification and analysis of multivariate observations.” In Vol. 1 of Proc., 5th Symp. on Math, Statistics and Probability, 281–297. Los Angeles: Univ. of California, Los Angeles.
McDonald, M. G., and A. W. Harbaugh. 1988. A modular three-dimensional finite difference ground-water flow model. Reston, VA: US Geological Survey Techniques of Water-Resources Investigation.
McKee, T. B., N. J. Doesken, and J. Kleist. 1993. “The relationship of drought frequency and duration to time scales.” In Proc., 8th Conf. on Applied Climatology. Anaheim, CA: Dept. of Atmospheric Science.
Mendicino, G., A. Senatore, and P. Versace. 2008. “A groundwater resource index (GRI) for drought monitoring and forecasting in a Mediterranean climate.” J. Hydrol. 357 (3–4): 282–302. https://doi.org/10.1016/j.jhydrol.2008.05.005.
Peters, E., G. Bier, H. A. J. Van Lanen, and P. J. J. F. Torfs. 2006. “Propagation and spatial distribution of drought in a groundwater catchment.” J. Hydrol. 321 (1–4): 257–275. https://doi.org/10.1016/j.jhydrol.2005.08.004.
Peters, E., H. A. J. Van Lanen, P. J. J. F. Torfs, and G. Bier. 2005. “Drought in groundwater—Drought distribution and performance indicators.” J. Hydrol. 306 (1–4): 302–317. https://doi.org/10.1016/j.jhydrol.2004.09.014.
Schyns, J. F., A. Y. Hoekstra, and M. J. Booij. 2015. “Review and classification of indicators of green water availability and scarcity.” Hydrol. Earth Syst. Sci. Discuss. 19 (11): 4581–4608. https://doi.org/10.5194/hess-19-4581-2015.
Sen, Z. 2017. Innovative trend methodologies in science and engineering. Cubuklu, Istanbul, Turkey: Springer.
Shahid, S., and M. K. Hazarika. 2010. “Groundwater drought in the northwestern districts of Bangladesh.” Water Resour. Manage. 24 (10): 1989–2006. https://doi.org/10.1007/s11269-009-9534-y.
Shannon, C. E. 1948. “A mathematical theory of communication.” Bell Syst. Tech. J. 27 (4): 623–656. https://doi.org/10.1002/j.1538-7305.1948.tb00917.x.
Sneyers, R. 1990. On the statistical analysis of series of observation. Geneva: WMO.
Thom, H. C. S. 1966. Some methods of climatological analysis. Geneva: World Meteorological Organization.
Van Dam, J., J. Huygen, J. Wesseling, R. A. Feddes, P. Kabat, P. Van Walsum, P. Groenedijk, and C. A. Van Diepen. 1997. Theory of SWAP, simulation of water flow, solute transport and plant growth in the soil-water-atmosphere-plant environment. Dept. of Water Resources, WAU and DLO Winand Staring Centre.
Van Loon, A. F., and H. A. J. Van Lanen. 2013. “Making the distinction between water scarcity and drought using an observation-modeling framework.” Water Resour. Res. 49 (3): 1483–1502. https://doi.org/10.1002/wrcr.20147.
Wels, C., D. Mackie, and J. Scibek. 2012. Guidelines for groundwater modeling to assess impacts of proposed natural resource development activities. BC, Canada: Water Protection and Sustainability Branch.
Yue, S., and C. Y. Wang. 2004. “The Mann-Kendall test modified by effective sample size to detect trend in serially correlated hydrological series.” Water Resour. Manage. 18 (3): 201–218. https://doi.org/10.1023/B:WARM.0000043140.61082.60.
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Published In
Journal of Hydrologic Engineering
Volume 24 • Issue 4 • April 2019
Copyright
©2019 American Society of Civil Engineers.
History
Received: Jan 30, 2018
Accepted: Oct 8, 2018
Published online: Jan 17, 2019
Published in print: Apr 1, 2019
Discussion open until: Jun 17, 2019
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