Abstract

Groundwater vulnerability assessment delineating areas that are susceptible to contamination from future scenarios has aroused worldwide attention. In this study, the authors (1) estimate future groundwater vulnerability in Hunan province, China, under urban-related land-use change and climate change scenarios; and (2) analyze the importance of related parameters to future groundwater vulnerability. The DRASTIC model [including seven parameters: depth to water table (D), net recharge (R), aquifer type (A), soil type (S), topography (T), impact of vadose zone (I) and conductivity (C)] together with an extra parameter, land-use patterns, was used to generate the map of groundwater vulnerability in future scenarios. The results indicated that vulnerability classes had an increasing trend from low to high vulnerability in the future scenarios. Hunan province may face high groundwater pollution risk in the future. The sensitivity analysis indicated that the depth-to-water table may be the dominant factor, and the land-use pattern was the most sensitive parameter on the predicted future groundwater vulnerability in Hunan province. Decision makers should identify the potential future groundwater vulnerability and take early steps to protect groundwater resources.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

This study was financially supported by the National Natural Science Foundation of China (51521006, 51479072, 51579094, and 51679082), the Program for Changjiang Scholars and Innovative Research Team in University (IRT-13R17), and China Meteorological Data Sharing Service System.

References

Ali, R., et al. (2012). “Potential climate change impacts on groundwater resources of south-western Australia.” J. Hydrol., 475(12), 456–472.
Ando, A. W., and Mallory, M. L. (2012). “Optimal portfolio design to reduce climate-related conservation uncertainty in the Prairie Pothole region.” Pnas, 109(17), 6484–6489.
Babiker, I. S., Mohamed, M. A., Hiyama, T., and Kato, K. (2005). “A GIS-based DRASTIC model for assessing aquifer vulnerability in Kakamigahara Heights, Gifu Prefecture, central Japan.” Sci. Total. Environ., 345(1-3), 127–140.
Boy-Roura, M., Mencio, A., and Mas-Pla, J. (2013). “Temporal analysis of spring water data to assess nitrate inputs to groundwater in an agricultural area (Osona, NE Spain).” Sci. Total. Environ., 452–453(5), 433–445.
Chae, G. T., et al. (2004). “Hydrogeochemistry of alluvial groundwaters in an agricultural area: An implication for groundwater contamination susceptibility.” Chemosphere, 55(3), 369–378.
Chen, S., Wu, W., Hu, K., and Li, W. (2010). “The effects of land-use change and irrigation water resource on nitrate contamination in shallow groundwater at county scale.” Ecol. Complex, 7(2), 131–138.
Chen, Z. H., Grasby, S. E., and Osadetz, K. G. (2002). “Predicting average annual groundwater levels from climatic variables: An empirical model.” J. Hydrol., 260(1–4), 102–117.
China Statistical Yearbook. (2013). “China geo-environment monitoring groundwater levels yearbook.” China Land, Beijing (in Chinese).
De Paz, J. M., and Ramos, C. (2002). “Linkage of a geographical information system with the gleams model to assess nitrate leaching in agricultural areas.” Environ. Pollut., 118(2), 249–258.
Dimitriou, E., and Moussoulis, E. (2009). “Hydrological and nitrogen distributed catchment modeling to assess the impact of future climate change at Trichonis Lake, western Greece.” Hydrogeol. J., 18(2), 441–454.
Edet, A. (2014). “An aquifer vulnerability assessment of the Benin Formation aquifer, Calabar, southeastern Nigeria, using DRASTIC and GIS approach.” Environ. Earth Sci., 71(4), 1747–1765.
Fan, T., et al. (2008). “Biosorption of cadmium(ii), zinc(ii) and lead(ii) by Penicillium simplicissimum: Isotherms, kinetics and thermodynamics.” J. Hazard. Mater., 160(2–3), 655–661.
Fan, Y., Li, H., and Miguez-Macho, G. (2013). “Global patterns of groundwater table depth.” Science, 339(6122), 940–943.
Fu, G., Charles, S. P., and Kirshner, S. (2013). “Daily rainfall projections from general circulation models with a downscaling nonhomogeneous hidden Markov model (NHMM) for south-eastern Australia.” Hydrol. Process., 27(25), 3663–3673.
Gogu, R. C., and Dassargues, A. (2000). “Current trends and future challenges in groundwater vulnerability assessment using overlay and index methods.” Environ. Geol., 39(6), 549–559.
Gong, J. L., et al. (2009). “Removal of cationic dyes from aqueous solution using magnetic multi-wall carbon nanotube nanocomposite as adsorbent.” J. Hazard. Mater., 164(2–3), 1517–1522.
Hernandez-Espriu, A., et al. (2014). “The DRASTIC-Sg model: an extension to the DRASTIC approach for mapping groundwater vulnerability in aquifers subject to differential land subsidence, with application to Mexico City.” Hydrogeol. J., 22(6), 1469–1485.
Holman, I. P., Dubus, I. G., Hollis, J. M., and Brown, C. D. (2004). “Using a linked soil model emulator and unsaturated zone leaching model to account for preferential flow when assessing the spatially distributed risk of pesticide leaching to groundwater in England and Wales.” Sci. Total. Environ., 318(1-3), 73–88.
Hua, S., et al. (2015). “How to manage future groundwater resource of China under climate change and urbanization: An optimal stage investment design from modern portfolio theory.” Water Res., 85, 31–37.
Huan, H., Wang, J., and Teng, Y. (2012). “Assessment and validation of groundwater vulnerability to nitrate based on a modified DRASTIC model: A case study in Jilin City of northeast China.” Sci. Total. Environ., 440(3), 14–23.
Huang, D. L., et al. (2008). “Degradation of lead-contaminated lignocellulosic waste by Phanerochaete chrysosporium and the reduction of lead toxicity.” Environ. Sci. Technol., 42(13), 4946–4951.
Huang, K., Liu, X., Li, X., Liang, J., and He, S. (2013a). “An improved artificial immune system for seeking the Pareto front of land-use allocation problem in large areas.” Int. J. Geog. Inf. Sci. 27(5), 922–946.
Huang, M., Zhang, W., Jiang, L., and Zou, Y. (2013b). “Impact of temperature changes on early-rice productivity in a subtropical environment of China.” Field Crop. Res., 146(146), 10–15.
IPCC Special Report. (2013). “IPCC special report on emissions scenarios: A special report of Working Group III of the Intergovernmental Panel on Climate Change.” Cambridge University Press, Cambridge, U.K.
Kraller, G., Warscher, M., Kunstmann, H., Vogl, S., Marke, T., and Strasser, U. (2012). “Water balance estimation in high Alpine terrain by combining distributed modeling and a neural network approach (Berchtesgaden Alps, Germany).” Hydrol. Earth Syst. Sci., 16(7), 1969–1990.
Kumar, S., Thirumalaivasan, D., and Radhakrishnan, N. (2014). “GIS based assessment of groundwater vulnerability using drastic model.” Arab. J. Sci. Eng., 39(1), 207–216.
Kura, N. U., et al. (2015). “Assessment of groundwater vulnerability to anthropogenic pollution and seawater intrusion in a small tropical island using index-based methods.” Environ. Sci. Pollut. Res., 22(2), 1512–1533.
Lapworth, D. J., et al. (2013). “Residence times of shallow groundwater in West Africa: Implications for hydrogeology and resilience to future changes in climate.” Hydrogeol. J., 21(3), 673–686.
Li, R., and Merchant, J. W. (2013). “Modeling vulnerability of groundwater to pollution under future scenarios of climate change and biofuels-related land-use change: A case study in North Dakota, USA.” Sci. Total. Environ., 447(1), 32–45.
Li, X. D., et al. (2015). “The application of semicircular-buffer-based land-use regression models incorporating wind direction in predicting quarterly NO2 and PM10 concentrations.” Atmos. Environ., 103, 18–24.
Liang, J., et al. (2010). “Optimal solute transport in heterogeneous aquifer: Coupled inverse modelling.” Int. J. Environ. Pollut., 42(1–3), 258–269.
Liang, J., et al. (2015). “Facile synthesis of alumina-decorated multi-walled carbon nanotubes for simultaneous adsorption of cadmium ion and trichloroethylene.” Chem. Eng. J., 273, 101–110.
Liu, W., et al. (2015). “land-use regression models coupling with meteorology to model spatial and temporal variability of NO2 and PM10 in Changsha, China.” Atmos. Environ., 116, 272–280.
Masetti, M., Sterlacchini, S., Ballabio, C., Sorichetta, A., and Poli, S. (2009). “Influence of threshold value in the use of statistical methods for groundwater vulnerability assessment.” Sci. Total. Environ., 407(12), 3836–3846.
National Climate Center of China. “The CGIAR consortium for spatial information.” ⟨http://ncc.cma.gov.cn/cn/⟩.
Neukum, C., and Azzam, R. (2012). “Impact of climate change on groundwater recharge in a small catchment in the Black Forest, Germany.” Hydrogeol. J., 20(3), 547–560.
Pasini, S., Torresan, S., Rizzi, J., Zabeo, A., Critto, A., and Marcomini, A. (2012). “Climate change impact assessment in Veneto and Friuli Plain groundwater. Part II: A spatially resolved regional risk assessment.” Sci. Total. Environ., 447(1), 219–235.
Pijanowski, B. C., Brown, D. G., Shellito, B. A., and Manik, G. A. (2002). “Using neural networks and GIS to forecast land-use changes: A land transformation model.” Comput. Environ. Urban Sys., 26(6), 553–575.
Rahman, A. (2008). “A GIS based DRASTIC model for assessing groundwater vulnerability in shallow aquifer in Aligarh, India.” Appl. Geog., 28(1), 32–53.
Raupach, M. R., Haverd, V., and Briggs, P. R. (2013). “Sensitivities of the Australian terrestrial water and carbon balances to climate change and variability.” Agric. Forest Meteorol., 182–183(12), 277–291.
Şen, Z., Alsheikh, A., Al-Turbak, A. S., Al-Bassam, A. M., and Al-Dakheel, A. M. (2013). “Climate change impact and runoff harvesting in arid regions.” Arab. J. Geosci., 6(1), 287–295.
Shirazi, S. M., Imran, H. M., Akib, S., Yusop, Z., and Harun, Z. B. (2013). “Groundwater vulnerability assessment in the Melaka State of Malaysia using DRASTIC and GIS techniques.” Environ. Earth Sci., 70(5), 2293–2304.
Snover, A. K., Mantua, N. J., Littell, J. S., Alexander, M. A., McClure, M. M., and Nye, J. (2013). “Choosing and using climate-change scenarios for ecological-impact assessments and conservation decisions.” Conserv. Biol., 27(6), 1147–1157.
Stigter, T. Y., et al. (2014). “Comparative assessment of climate change and its impacts on three coastal aquifers in the Mediterranean.” Reg. Environ. Change, 14(S1), 41–56.
Tang, L., Zeng, G. M., Shen, G. L., Li, Y. P., Zhang, Y., and Huang, D. L. (2008). “Rapid detection of picloram in agricultural field samples using a disposable immunomembrane-based electrochemical sensor.” Environ. Sci. Technol., 42(4), 1207–1212.
Wang, J., He, J., and Chen, H. (2012). “Assessment of groundwater contamination risk using hazard quantification, a modified DRASTIC model and groundwater value, Beijing Plain, China.” Sci. Total. Environ., 432(16), 216–226.
Wu, W., Yin, S., Liu, H., and Chen, H. (2014). “Groundwater vulnerability assessment and feasibility mapping under reclaimed water irrigation by a modified DRASTIC model.” Water Resour. Manag., 28(5), 1219–1234.
Xu, P., et al. (2012). “Use of iron oxide nanomaterials in wastewater treatment: A review.” Sci. Total Environ., 424(4), 1–10.
Yuan, F., et al. (2010). “Adsorption of cd (ii) and zn (ii) from aqueous solutions using magnetic hydroxyapatite nanoparticles as adsorbents.” Chem. Eng. J., 162(2), 487–494.
Zeng, G. M., et al. (2009). “Spatial analysis of human health risk associated with ingesting manganese in Huangxing Town, Middle China.” Chemosphere, 77(3), 368–375.
Zeng, G. M., Chen, M., and Zeng, Z. T. (2013a). “Risks of neonicotinoid pesticides.” Science, 340(6139), 1403.
Zeng, G. M., Chen, M., and Zeng, Z. T. (2013b). “Shale gas: Surface water also at risk.” Nature, 499(7457), 154.

Information & Authors

Information

Published In

Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 22Issue 7July 2017

History

Received: Feb 21, 2016
Accepted: Oct 17, 2016
Published ahead of print: Mar 9, 2017
Published online: Mar 10, 2017
Published in print: Jul 1, 2017
Discussion open until: Aug 10, 2017

Permissions

Request permissions for this article.

Authors

Affiliations

Ph.D. Student, College of Environmental Science and Engineering, Hunan Univ., Changsha 410082, China. E-mail: [email protected]
Guangming Zeng [email protected]
Professor, College of Environmental Science and Engineering, Hunan Univ., Changsha 410082, China (corresponding author). E-mail: [email protected]
Associate Professor, College of Environmental Science and Engineering, Hunan Univ., Changsha 410082, China. E-mail: [email protected]
Shanshan Hua [email protected]
Graduate Student, College of Environmental Science and Engineering, Hunan Univ., Changsha 410082, China. E-mail: [email protected]
Ph.D. Student, College of Environmental Science and Engineering, Hunan Univ., Changsha 410082, China. E-mail: [email protected]
Xiaodong Li [email protected]
Associate Professor, College of Environmental Science and Engineering, Hunan Univ., Changsha 410082, China. E-mail: [email protected]
Haoran Dong [email protected]
Associate Professor, College of Environmental Science and Engineering, Hunan Univ., Changsha 410082, China. E-mail: [email protected]
Master, College of Environmental Science and Engineering, Hunan Univ., Changsha 410082, China. E-mail: [email protected]
Master, College of Environmental Science and Engineering, Hunan Univ., Changsha 410082, China. E-mail: [email protected]
Junfeng Liu [email protected]
Master, College of Environmental Science and Engineering, Hunan Univ., Changsha 410082, China. E-mail: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share