Development of a New Drought Index for Groundwater and Its Application in Sustainable Groundwater Extraction
Publication: Journal of Water Resources Planning and Management
Volume 142, Issue 9
Abstract
The main aim of this study was to develop an index to determine groundwater drought. Then, as a case study, for the sustainable use of groundwater, the optimum cropping pattern was determined in full compliance with the drought conditions in a plain. The newly presented index, known as the groundwater recharge drought index (GRDI), was determined based on the values of recharge in different zones in the plain. The GRDI for different zones within the region was calculated using the data covering 30 years (1980–2010). Based on this index, groundwater drought was found to occur frequently in these regions since 1981. According to the obtained results, the developed index, as compared with other indices, had several basic features including the ability to predict drought in groundwater, consideration of the possible effects of basin characteristics on groundwater drought, the capability of using different methods and models to calculate the GRDI, and separation of the human effects on the hydrological system from natural drought. Therefore, the index could be used in the forecasting and warning systems for management and planning purposes. According to the optimization results, the selected cropping patterns for three scenarios, including normal, dry, and wet years, were in such a way that the exploitation of groundwater resources remained in safe yield range and groundwater-level decline was reduced, contributing to sustainable groundwater management.
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References
Ampas, V. (2010). “Research and estimation of meteorological parameters with direct impact on agriculture.” Ph.D. thesis, Dept. of Hydraulics, Soil Science and Agricultural Engineering, Aristotle Univ. of Thessaloniki, Thessaloniki, Greece.
Barua, S., Ng, A., and Perera, B. (2011). “Comparative evaluation of drought indexes: Case study on the Yarra River Catchment in Australia.” J. Water Resour. Plann. Manage., 215–226.
Bhuiyan, C., Singh, R. P., and Kogan, F. N. (2006). “Monitoring drought dynamics in the Aravalli region (India) using different indices based on ground and remote sensing data.” Int. J. Appl. Earth Obs. Geoinf., 8(4), 289–302.
Bloomfield, J. P., and Marchant, B. P. (2013). “Analysis of groundwater drought building on the standardised precipitation index approach.” Hydrol. Earth Syst. Sci., 17(2), 4769–4787.
Cai, X. M., Mc Kinney, D. C., and Lasdon, L. S. (2003). “Integrated hydrologic–agronomic–economic model for river basin management.” J. Water Resour. Plann. Manage., 4–17.
Cañón, J., González, J., and Valdés, J. (2009). “Reservoir operation and water allocation to mitigate drought effects in crops: A multilevel optimization using the drought frequency index.” J. Water Resour. Plann. Manage., 458–465.
Cheng, A. H. D., Halhal, D., Naji, A., and Quazar, D. (2000). “Pumping optimization in saltwater intruded coastal aquifers.” Water Resour. Res., 36(8), 2155–2165.
Corder, G. W., and Foreman, D. I. (2009). Nonparametric statistics for non-statisticians: A step-by-step approach, Wiley, Hoboken, NJ.
CROPWAT 8.0 [Computer software]. Food and Agriculture Organization (FAO), Rome.
Das, B., Singh, A., Panda, N. S., and Yasuda, H. (2015). “Optimal land and water resources allocation policies for sustainable irrigated agriculture.” Land Use Policy, 42, 527–537.
Doktorsafaei, H. (2013). “Assessment and development of integrated groundwater drought index (IGDI), a case study: Zayandehroud River basin.” M.Sc. dissertation, Dept. of Civil Engineering, Isfahan Univ. of Technology, Isfahan, Iran.
Eltahir, E. A. B., and Yeh, P. J. F. (1999). “On the asymmetric response of aquifer water level to floods and droughts in Illinois.” Water Resour. Res., 35(4), 1199–1217.
Fan, Y., Wang, C., and Nan, Z. (2014). “Comparative evaluation of crop water use efficiency, economic analysis and net household profit simulation in arid Northwest China.” Agric. Water Manage., 146, 335–345.
Feyen, L., and Gorelick, S. M. (2004). “Reliable groundwater management in hydroecologically sensitive areas.” Water Resour. Res., 40, W07408.
Finney, B. A., and Samsuhadi, W. R. (1992). “Quasi-three dimensional optimization model of Jakarta basin.” J. Water Resour. Plann. Manage., 18–31.
George, B., Shende, S., and Raghuwanshi, N. (2000). “Development and testing of an irrigation scheduling model.” Agric. Water Manage., 46(2), 121–136.
Goodarzi, M., Abedi-Koupaei, J., Heidarpour, M., and Safavi, H. (2016). “Evaluation of climate change effects on groundwater recharge using a hybrid method.” Water Resour. Manage, 30(1), 133–148.
Goyal, R. (2004). Sensitivity of evapotranspiration to global warming: A case study of arid zone of Rajasthan (India). Agric. Water Manage., 69(1), 1–11.
Guo, P., Wang, X., Zhu, H., and Li, M. (2014). “Inexact fuzzy chance-constrained nonlinear programming approach for crop water allocation under precipitation variation and sustainable development.” J. Water Resour. Plann. Manage., 05014003.
Healy, R. W. (2010). Estimating groundwater recharge, Cambridge University Press, Cambridge, U.K.
Hetzel, F., Vaessen, V., Himmelsbach, T., Struckmeier, W., and Villholth, K. G. (2008). Groundwater and climate change: Challenges and possibilities, BGR & GEUS, Hannover, Germany, 15.
Jha, M. K., Chikamori, K., and Kamii, Y. (2000). “On the optimization of groundwater pumpage in the Takaoka groundwater basin.” Rural Environ. Eng., 38, 40–52.
Kang, S., Payne, W. A., Evett, S. R., Stewart, B. A., and Robinson, C. A. (2009). “Simulation of winter wheat evapotranspiration in Texas and Henan using three models of differing complexity.” Agric. Water Manage., 96(1), 167–178.
Karamouz, M., Kerachian, R., and Zahraie, B. (2004). “Monthly water resources and irrigation planning: Case study of conjunctive use of surface and groundwater resources.” J. Irrig. Drain. Eng., 391–402.
Kaur, B., Sidhu, R. S., and Vatta, K. (2010). “Optimal crop plans for sustainable water use in Punjab.” Agric. Econ. Res. Rev., 23(2), 273–284.
Keramatzadeh, A., Chizari, A. H., and Moore, R. (2011). “Economic optimal allocation of agriculture water: Mathematical programming approach.” J. Agric. Sci. Technol., 13(4), 477–490.
Khoshooe, M. (2013). “Integrated index for assessment of vulnerability to drought, case study: Zayandehrood River Basin, Iran.” M.Sc. dissertation, Dept. of Civil Engineering, Isfahan Univ. of Technology, Isfahan, Iran.
Kumar, R., and Singh, J. (2003). “Regional water management modeling for decision support in irrigated agriculture.” J. Irrig. Drain. Eng., 432–439.
Langevin, C. D., et al. (2003). “MODFLOW-based tools for simulation of variable-densitygroundwater flow.” Chapter 3, Coastal aquifer management: Monitoring, modeling, and case studies, A. H. D. Cheng and D. Ouazar, eds., CRC Press, Boca Raton, FL, 1–27.
López-Moreno, J. I., Vicente-Serrano, S. M., Beguería, S., García-Ruiz, J. M., Portela, M. M., and Almeida, A. B. (2009). “Dam effects on droughts magnitude and duration in a transboundary basin: The lower River Tagus, Spain and Portugal.” Water Resour. Res., 45, W02405.
Mahendran, R., Chandrasekaran, M., and Gurunathan, S. (2006). “A study on evolving optimal cropping patterns in groundwater over-exploited region of Perambalur district of Tamil Nadu.” Agric. Econ. Res. Rev., 19(1), 95–108.
McKee, T. B., Doesken, N. J., and Leist, J. (1993). “The relationship of drought frequency and duration time scales.” 8th Conf. on Applied Climatology, American Meteorological Society, Anaheim, CA, 179–184.
Mendicino, G., Senatore, A., and Versace, P. (2008). “A groundwater resource index (GRI) for drought monitoring and forecasting in a Mediterranean climate.” J. Hydrol. (Amsterdam, Neth.), 357(3–4), 282–302.
Navesh, N., and Shamir, U. (2004). “Managing groundwater levels in an agricultural area with peat soils.” J. Water Resour. Plann. Manage., 243–254.
Nazeer, M. (2009). “Simulation of maize crop under irrigated and rainfed conditions with CROPWAT model.” ARPN J. Agric. Biol. Sci., 4(2), 68–73.
Neitsch, S. L., Arnold, J. G., Kiniry, J. R., Williams, J. R., and King, K. W. (2002). “Soil water assessment tool theoretical documentation.”, Grassland, Soil and Water Research Laboratory, Temple, TX.
Onta, P. R., and Das Gupta, A. (1995). “Regional management modelling of a complex groundwater system for land subsidence control.” Water Resour. Manage., 9(1), 1–25.
Pan, Y., Yu, Z., Holst, J., and Doluschitz, R. (2014). “Integrated assessment of cropping patterns under different policy scenarios in Quzhou County, North China Plain.” Land Use Policy, 40, 131–139.
Panofsky, H., and Brier, G. (1958). Some applications of statistics to meteorology, Pennsylvania State Univ., Philadelphia.
Peters, E., Bier, G., van Lanen, H. A. J., and Torfs, P. J. J. F. (2006). “Propagation and spatial distribution of drought in a groundwater catchment.” J. Hydrol. (Amsterdam, Neth.), 321(1–4), 257–275.
Peters, E., Torfs, P. J. J. F., van Lanen, H. A. J., and Bier, G. (2003). “Propagation of drought through groundwater—A new approach using linear reservoir theory.” Hydrol. Processes, 17(15), 3023–3040.
Price, E., and Ostfeld, A. (2015). “Successive linear programming approach applied to BBLAWN.” J. Water Resour. Plann. Manage., C4015001.
Rao, S. N. V., Ballamudi, S. M., Thandaveswara, B. S., and Mishra, G. C. (2004). “Conjunctive use of surface and groundwater for coastal and deltaic systems.” J. Water Resour. Plann. Manage., 255–267.
Raquel, S., Ferenc, S., Emery, J. C., and Abraham, R. (2007). “Application of game theory for a groundwater conflict in Mexico.” J. Environ. Manage., 84(4), 560–571.
Rejani, R., Jha, M. K., and Panda, N. S. (2009). “Simulation-optimization modeling for sustainable groundwater management in a coastal basin of Orissa, India.” Water Resour. Manage., 23(2), 235–263.
Schroeder, P. R., Dozier, T. S., Zappi, P. A., McEnroe, B. M., Sjostrom, J. W., and Peyton, R. L. (1994). “The hydrologic evaluation of landfill performance (HELP) model: Engineering documentation for version 3.” U.S. Environmental Protection Agency Office of Research and Development, Washington, DC.
Sebti, A., Fuamba, M., and Bennis, S. (2015). “Optimization model for BMP selection and placement in a combined sewer.” J. Water Resour. Plann. Manage., 04015068.
Sheffield, J., Andreadis, K. M., Wood, E. F., and Lettenmaier, D. P. (2009). “Global and continental drought in the second half of the 20th century: Severity-area-duration analysis and temporal variability of large-scale events.” J. Clim., 22(8), 1962–1981.
Sheng-Feng, K., Shin-Shen, H., and Chen-Wuing, L. (2006). “Estimation of irrigation water requirements with derived crop coefficients for upland and paddy crops in ChiaNan Irrigation Association, Taiwan.” Agric. Water Manage., 82(3), 433–451.
Shukla, S., and Wood, A. W. (2008). “Use of a standardized runoff index for characterizing hydrologic drought.” Geophys. Res. Lett., 35(2), 1–7.
Singh, A. (2014). “Groundwater resources management through the applications of simulation modeling: A review.” Sci. Total Environ., 499, 414–423.
Singh, D. K., Jaiswal, C. S., Reddy, K. S., Singh, R. M., and Bhandarkar, D. M. (2001). “Optimal cropping pattern in a canal command area.” Agric. Water Manage., 50(1), 1–8.
Smith, M. (1992). CROPWAT, a computer program for irrigation planning and management, FAO, Rome.
Stancalie, G., Marica, A., and Toulios, L. (2010). “Using earth observation data and CROPWAT model to estimate the actual crop evapotranspiration.” Phys. Chem. Earth, 35(1–2), 25–30.
Statistical center of Iran. (2015). “Statistical center of Iran website.” 〈〉 (Mar. 30, 2016).
Surendran, U., Sushanth, C. M., Mammen, G., and Joseph, E. J. (2015). “Modelling the crop water requirement using FAO-CROPWAT and assessment of water resources for sustainable water resource management: A case study in Palakkad district of humid tropical Kerala, India.” Aquat. Procedia, 4, 1211–1219.
Tallaksen, L. M., Hisdal, H., and Van Lanen, H. A. J. (2006). “Propagation of drought in a groundwater fed catchment, the Pang in the UK.” FRIEND 2006—Water Resource Variability: Processes, Analyses and Impacts, Vol. 308, International Association of Hydrological Sciences Press, Wallingford, U.K., 128–133.
Van Lanen, H. A. J., Wanders, N., Tallaksen, L. M., and Van Loon, A. F. (2013). “Hydrological drought across the world: Impact of climate and physical catchment structure.” Hydrol. Earth Syst. Sci., 17(5), 1715–1732.
Van Loon, A. F., and Van Lanen, H. A. J. (2013). “Making the distinction between water scarcity and drought using an observation-modeling framework.” Water Resour. Res., 49(3), 1483–1502.
Vidal, J. P., et al. (2010). “Multilevel and multiscale drought reanalysis over France with the SAFRAN-ISBA-MODCOU hydrometeorological suite.” Hydrol. Earth Syst. Sci., 14(3), 459–478.
Wang, Z. M., Batelaan, O., and De Smedt, F. (1996). “A distributed model for water and energy transfer between soil, plants and atmosphere (WetSpa).” Phys. Chem. Earth, 21(3), 189–193.
Yang, Y., Zhao, J., and Cai, X. (2012). “Decentralized optimization method for water allocation management in the Yellow River Basin.” J. Water Resour. Plann. Manage., 313–325.
Zektser, S. L., and Everett, G. L. (2004). Groundwater resources of the world, UNESCO, Paris.
Zhang, C., and McBean, A. E. (2014). “A fuzzy linear optimization investigation for cropping patterns and virtual water transfers under water scarcity in Gansu Province, Northern China.” Environ. Nat. Resour. Res., 4(4), 189–201.
Zhang, L., and Dawes, W. (1998). WAVES: An integrated energy and water balance model, CSIRO Land and Water, Canberra, Australia.
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Published In
Journal of Water Resources Planning and Management
Volume 142 • Issue 9 • September 2016
Copyright
© 2016 American Society of Civil Engineers.
History
Received: Oct 22, 2015
Accepted: Mar 1, 2016
Published online: May 17, 2016
Published in print: Sep 1, 2016
Discussion open until: Oct 17, 2016
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