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American Journal of Water Resources. 2020, 8(5), 218-231
DOI: 10.12691/AJWR-8-5-2
Original Research

Impact of the Future Climate and Land Use Changes on the Hydrology and Water Resources in South East England, UK

Afzal M.1 and R. Ragab1,

1UK Centre for Ecology & Hydrology (UK CEH), Wallingford, Oxfordshire, OX10 8BB, UK

Pub. Date: October 08, 2020

Cite this paper

Afzal M. and R. Ragab. Impact of the Future Climate and Land Use Changes on the Hydrology and Water Resources in South East England, UK. American Journal of Water Resources. 2020; 8(5):218-231. doi: 10.12691/AJWR-8-5-2

Abstract

This study was carried out on the Pang catchment as a representative of the Thames River basin in the southeast of England, UK. The basin receives an average of 690 mm rainfall per year, making it one of the driest parts of the UK. Two-thirds of the basin is permeable chalk, middle Jurassic limestones, and river gravels. The Chalk is the main aquifer in southeast England. The aim of this study was to investigate the impact of climate and land-use changes on water resources. The UKCP09 climate scenarios up to 2099 were applied. The results indicated that by the 2080s, under high emission scenarios, streamflow could decrease by 37%, 32%, and 70% during summer-autumn, winter and spring, respectively while the groundwater recharge could decrease by 70% and 46% during summer-autumn and winter-spring, respectively. Increasing broadleaf forest area would reduce streamflow and groundwater recharge by 15% and 19% during spring and summer, respectively. The Reconnaissance Drought Index, RDI projected an increase in number, severity, and frequency of drought events up to the 2080s. The results of the Pang would help in future regional planning and management of the water resources in the southeast of England.

Keywords

DiCaSM hydrological model, climate change, land use change, pang catchment, water resources management

Copyright

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References

[1]  Wen, Y., Schoups, G., and Van De Giesen, N., Organic pollution of rivers: Combined threats of urbanization, livestock farming and global climate change. Scientific reports,7(Article Number 43289). February 2017.
 
[2]  Griffiths, J., Binley, A., Crook, N., Nutter, J., Young, A., and Fletcher, S., Streamflow generation in the Pang and Lambourn catchments, Berkshire, UK. Journal of Hydrology, 330(1-2). 71-83. October 2006.
 
[3]  Crooks, S., and Kay, A., Simulation of river flow in the Thames over 120 years: evidence of change in rainfall-runoff response? Journal of Hydrology: Regional Studies, 4(Part B). 172-195. September 2015.
 
[4]  Oudin, L., Andréassian, V., Lerat, J., and Michel, C., Has land cover a significant impact on mean annual streamflow? An international assessment using 1508 catchments. Journal of hydrology, 357(3-4). 303-316. August 2008.
 
[5]  Birkinshaw, S.J., Bathurst, J.C., and Robinson, M., 45 years of non-stationary hydrology over a forest plantation growth cycle, Coalburn catchment, Northern England. Journal of Hydrology, 519(Part A). 559-573. November 2014.
 
[6]  Miller, J.D., Kim, H., Kjeldsen, T.R., Packman, J., Grebby, S., and Dearden, R., Assessing the impact of urbanization on storm runoff in a peri-urban catchment using historical change in impervious cover. Journal of Hydrology, 515. 59-70. July 2014.
 
[7]  Parsons, D.J., Rey, D., Tanguy, M., and Holman, I.P., Regional variations in the link between drought indices and reported agricultural impacts of drought. Agricultural Systems, 173. 119-129. July 2019.
 
[8]  Wable, P.S., Jha, M.K., and Shekhar, A., Comparison of Drought Indices in a Semi-Arid River Basin of India. Water Resour Manage, 33. 75-102. January 2019.
 
[9]  Zarei, A.R., Moghimi, M.M., and Bahrami, M. Comparison of reconnaissance drought index (RDI) and effective reconnaissance drought index (eRDI) to evaluate drought severity. Sustain. Water Resour. Manag., 5. 1345-1356. April 2019.
 
[10]  Ragab, R., and Bromley, J. IHMS—Integrated Hydrological Modelling System. Part 1. Hydrological processes and general structure. Hydrological processes, 24(19). 2663-2680. August 2010.
 
[11]  Montenegro A., and Ragab, R., Hydrological response of a Brazilian semi-arid catchment to different land use and climate change scenarios: a modelling study. Hydrological Processes. 24(19). 2705-2723. May 2010.
 
[12]  Montenegro S., and Ragab, R., Impact of possible climate and land use changes in the semi-arid regions: a case study from North Eastern Brazil. Journal of Hydrology. 434-435, 55-68. April 2012.
 
[13]  D'Agostino, D.R., Trisorio, L.G., Lamaddalena, N., and Ragab, R., Assessing the results of scenarios of climate and land use changes on the hydrology of an Italian catchment: modelling study. Hydrological processes, 24(19). 2693-2704. August 2010.
 
[14]  Ragab, R., Bromley, J., Dörflinger, G., and Katsikides, S., IHMS—Integrated Hydrological Modelling System. Part 2. Application of linked unsaturated, DiCaSM and saturated zone, MODFLOW models on Kouris and Akrotiri catchments in Cyprus. Hydrological processes, 24(19). 2681-2692. August 2010.
 
[15]  Morton, D., Rowland, C., Wood, C., Meek, L., Marston, C., Smith, G., Wadsworth, R., and Simpson, I., Final Report for LCM2007-the new UK land cover map. Countryside Survey Technical Report, No 11/07. 2011.
 
[16]  Morris, D., Flavin, R., and Moore, R., A digital terrain model for hydrology. 4th International Symposium on Spatial Data Handling, 23-27 July 1990 Zürich. 250-262.
 
[17]  Morris, D., and Flavin, R., Sub-set of the UK 50 m by 50 m hydrological digital terrain model grids. NERC, Institute of Hydrology, Wallingford. 1994.
 
[18]  NRFA. 2014. National River flow Archive [Online]. Available: http://nrfa.ceh.ac.uk/ [Accessed 2014].
 
[19]  Allen, R.G., Pereira, L.S., Raes, D., and Smith, M. Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56. FAO, Rome, 300, D05109. 1998.
 
[20]  Environment-Agency, Kennet and Vale of White Horse Catchment Abstraction Licensing Strategy. 2012.
 
[21]  Aston, A. Rainfall interception by eight small trees. Journal of hydrology, 42(3-4). 383-396. July 1979.
 
[22]  Von Hoyningen-Huene, J., Die Interzeption des Niederschlags in landwirtschaftlichen Pflanzenbeständen, Arbeitsbericht Deutscher Verband für Wasserwirtschaft und Kulturbau, DVWK. 1981.
 
[23]  Gash, J.H., Lloyd, C., and Lachaud, G., Estimating sparse forest rainfall interception with an analytical model. Journal of Hydrology, 170(1-4). 79-86. August 1995.
 
[24]  Raupach, M., Vegetation-atmosphere interaction and surface conductance at leaf, canopy and regional scales. Agricultural and Forest Meteorology, 73(3-4). 151-179. March 1995.
 
[25]  Philip, J., The theory of infiltration: 1. The infiltration equation and its solution. Soil science, 83(5), 345-358. May 1957.
 
[26]  Green, W.H., Studies on soil physics, Part I, the flow of air and water through soils. J. Agric. Sci., 4(1). 1-24. May 1911.
 
[27]  Ragab, R., Finch, J., and Harding, R., Estimation of groundwater recharge to chalk and sandstone aquifers using simple soil models. Journal of Hydrology, 190(1-2). 19-41. March 1997.
 
[28]  Yu, P.-S,. and Jeng, Y.-C., A study on grid based distributed rainfall runoff models. Water resources management, 11. 83-99. April 1997.
 
[29]  Nash, J.E., and Sutcliffe, J.V., River flow forecasting through conceptual models part I—A discussion of principles. Journal of hydrology, 10(3). 282-290. April 1970.
 
[30]  Krause, P., Boyle, D.P., and Bäse, F., Comparison of different efficiency criteria for hydrological model assessment. Advances in Geosciences, 5. 89-97. December 2005.
 
[31]  McKee, T.B., Doesken, N.J., and Kleist, J., The relationship of drought frequency and duration to time scales, In Proceedings of the 8th Conference on Applied Climatology, 1993. American Meteorological Society Boston, MA, 179-183.
 
[32]  Tsakiris, G., Pangalou, D., and Vangelis, H., Regional drought assessment based on the Reconnaissance Drought Index (RDI). Water resources management, 21. 821-833. May 2007.
 
[33]  Vangelis, H., Tigkas, D., and Tsakiris, G., The effect of PET method on Reconnaissance Drought Index (RDI) calculation. Journal of Arid Environments, 88. 130-140. January 2013.
 
[34]  Al-Faraj, F.A., Scholz, M., Tigkas, D., and Boni, M., Drought indices supporting drought management in transboundary watersheds subject to climate alterations. Water Policy, 17(5), 865-886. January 2015.
 
[35]  Khalili, D., farnoud, T., Jamshidi, H., Kamgar-Haghighi, A.A., and Zand-Parsa, S., Comparability analyses of the SPI and RDI meteorological drought indices in different climatic zones. Water resources management, 25. 1737-1757. January 2011.
 
[36]  Narasimhan, B., and Srinivasan, R., Development and evaluation of Soil Moisture Deficit Index (SMDI) and Evapotranspiration Deficit Index (ETDI) for agricultural drought monitoring. Agricultural and forest meteorology, 133(1-4). 69-88. November 2005.
 
[37]  Keshavarz, M.R., Vazifedoust, M., and Alizadeh, A., Drought monitoring using a Soil Wetness Deficit Index (SWDI) derived from MODIS satellite data. Agricultural Water Management, 132. 37-45. January 2014.
 
[38]  Ragab, R., Kaelin, A., Afzal, M. and Panagea, I., Application of Generalized Likelihood Uncertainty Estimation (GLUE) at different temporal scales to reduce the uncertainty level in modelled river flows. Hydrological Sciences Journal, Published on line. 65(11). 1856-1871. June 2020.
 
[39]  Marsh, T., Cole, G., and Wilby, R., Major droughts in England and Wales, 1800-2006. Weather, 62(4). 87-93. April 2007.
 
[40]  Herrera‐Pantoja, M., and Hiscock, K., The effects of climate change on potential groundwater recharge in Great Britain. Hydrological Processes, 22(1). 73-86. June 2008.
 
[41]  Alexander, L.V., Tett, S.F., and Jonsson, T., Recent observed changes in severe storms over the United Kingdom and Iceland. Geophysical Research Letters, 32(13). 1-4. July 2005.
 
[42]  Marsh, T., and Monkhouse, R., Drought in the United Kingdom, 1988-92. Weather, 48(1). 15-22. January 1993.