Drought Risk under Climate and Land Use Changes: Implication to Water Resource Availability at Catchment Scale
2. Study Area, Data and Methodology
2.1. Study Area
The DiCaSM Model and Model Efficiency Measures
2.4. Impact of Climate Change on Future Hydrological Variables
2.5. Identification of Drought Indices
3.1. Model Calibration/Validation for Streamflow
3.2. Identification of Historic Droughts
3.2.1. The Standardized Precipitation Index (SPI)
3.2.2. Reconnaissance Drought Index (RDI)
3.2.3. Soil Moisture Deficit, SMD and Soil Wetness Index, WI as Drought Indicators
3.3. Future Hydrological Changes and the Drought Indices
3.3.1. Changes in Streamflow
3.3.2. Changes in Groundwater Recharge
3.3.3. Drought Indices
Future SMD, WI and Actual Evapotranspiration
Future Reconnaissance Drought Index (RDI)
3.4. Impacts of Land Use Changes on the Hydrological Variables
- If the grass area replaced by barley: river flow would increase by 14% in autumn and by less than 7% in all other seasons. Groundwater recharge would also increase by 13% in winter and by less than 7% in all other seasons.
- If grass area replaced by oil seed rape: river flow would decrease of 21% in summer, 15% in spring and 6% in winter but a small increase of 3% in autumn is projected. A possible decrease in groundwater recharge by 21% in summer, 12% in spring, 5% in winter but possible small increase less than 4% in autumn are projected.
- If 50% winter barley replaced by oil seed rape: reduction in streamflow around 7% in winter, spring and autumn and a small reduction less than 2% in summer are projected. Also, a decrease in groundwater recharge by 13% in summer, by less than 7% in winter and spring and by 1% in autumn are projected.
- If 100% winter barley replaced by oil seed rape: A decrease in streamflow by around 14% in winter, spring and autumn but small decrease of less than 4% in summer are projected. Groundwater recharge is also expected to decrease between 9% to 23% during winter, spring, summer and by less than 2% in autumn.
- If 40% increase in urban area replacing grass: an increase in streamflow between 11% to 19% in winter, spring and summer and around 9% in autumn are projected. Ground water is likely to decrease between 2% to 8%
- If all crops replaced by broad leaved forest: A decrease in streamflow between 8% and 16% in winter, spring and summer and less than 5% in autumn are projected. The groundwater recharge is likely to decrease between 14% and 21% in spring and summer and by less than 1% in winter and 6% in autumn.
4.1. The Drought Indices
4.2. Climate Change Impact on Water Resources
4.3. Impact of Land Use Changes on Water Resources
- The DiCaSM model calibration and validation results showed a good agreement between the observed simulated flow and overall model efficiency; the NSE index was above 82% for the 51-year study period.
- In addition to the streamflow, the model identified all drought events using the drought indices: SPI, RDI, SMD and the WI, especially in the 1970s, but also during the 1980s, 1990s and most recently the drought in 2010–2012. The analysis revealed that the adjusted RDI index, based on net rainfall (excluding interception losses by vegetation cover) and actual evapotranspiration, was successful in identifying the past drought events and their severity levels. Under climate change projection, the streamflow and the groundwater recharge significantly decreased, especially during the summer, and the severity of the drought events significantly increased.
- All the applied drought indices (SMD, WI and RDI) identified an increase in the severity of the drought under future climatic scenarios. Under high emission scenarios, the drought severity was higher. These findings help in planning for perhaps extra water infrastructure work if needed, such as building more reservoirs or water transfer pipelines from water-rich to water-poor regions and planning to meet the irrigation water demand under different climatic conditions.
- Increasing the broadleaf forest area could result in decreasing streamflow and groundwater recharge during the spring and summer. Urban expansion could result in increased surface runoff. Decreasing crops, like winter barley and grass areas and increasing oil seed rape area, would result in an increase in soil moisture deficit and a slight decrease in river flow. Impact of the land use changes on the water resources was much less than the effect of climate change. However, sustainable land use practices could potentially be used to mitigate the impact of climate change on the catchment’s water supplies. Generally, the findings from the modelling work can be used to review the surface water abstraction regulations, as the hydrological model proved to be a good tool to predict river flow and recharge to groundwater and is capable at simulating the effects of climate change on the different elements of the hydrological cycle.
Conflicts of Interest
- Wang, H.; Tetzlaff, D.; Soulsby, C. Modelling the effects of land cover and climate change on soil water partitioning in a boreal headwater catchment. J. Hydrol. 2018, 558, 520–531. [Google Scholar] [CrossRef][Green Version]
- Van Loon, A.; Laaha, G. Hydrological drought severity explained by climate and catchment characteristics. J. Hydrol. 2015, 526, 3–14. [Google Scholar] [CrossRef][Green Version]
- Byakatonda, J.; Parida, B.; Moalafhi, D.; Kenabatho, P.K. Analysis of long term drought severity characteristics and trends across semiarid Botswana using two drought indices. Atmos. Res. 2018, 213, 492–508. [Google Scholar] [CrossRef]
- Marsh, T.J.; Monkhouse, R.A. Drought in the United Kingdom, 1988–92. Weather 1993, 48, 15–22. [Google Scholar] [CrossRef]
- Marsh, T. The 1995 UK Drought-A Signal of Climatic Instability? Technical Note. Proc. Inst. Civ. Eng. Water Marit. Energy 1996, 118, 189–195. [Google Scholar] [CrossRef]
- Marsh, T.; Cole, G.; Wilby, R. Major droughts in England and Wales, 1800–2006. Weather 2007, 62, 87–93. [Google Scholar] [CrossRef]
- Taylor, V.; Chappells, H.; Medd, W.; Trentmann, F. Drought is normal: The socio-technical evolution of drought and water demand in England and Wales, 1893–2006. J. Hist. Geogr. 2009, 35, 568–591. [Google Scholar] [CrossRef]
- Kendon, M.; Marsh, T.; Parry, S. The 2010–2012 drought in England and Wales. Weather 2013, 68, 88–95. [Google Scholar] [CrossRef]
- Hulme, M.; Jenkins, G.J.; Lu, X.; Turnpenny, J.R.; Mitchell, T.D.; Jones, R.G.; Lowe, J.; Murphy, J.M.; Hassell, D.; Boorman, P.; et al. Climate Change Scenarios for the United Kingdom: The UKCIP02 Scientific Report; Tyndall Centre for Climate Change Research, School of Environmental Sciences, University of East Anglia: Norwich, UK, 2002; 120p. [Google Scholar]
- Macdonald, A.M.; Robins, N.S.; Ball, D.F.; Dochartaigh, B.É.Ó. An overview of groundwater in Scotland. Scott. J. Geol. 2005, 41, 3–11. [Google Scholar] [CrossRef][Green Version]
- Bryant, S.; Arnell, N.; Law, F. The long-term context for the current hydrological drought. In Proceedings of the IWEM Conference on the Management of Scarce water Resources, Brighton, UK, 13–14 October 1992. [Google Scholar]
- Jones, P.; Conway, D.; Briffa, K. Precipitation Variability and Drought; Routledge: London, UK, 1997. [Google Scholar]
- Phillips, I.D.; McGregor, G.R. The utility of a drought index for assessing the drought hazard in Devon and Cornwall, South West England. Meteorol. Appl. 1998, 5, 359–372. [Google Scholar] [CrossRef]
- Fowler, H.; Kilsby, C.; Fowler, H.; Kilsby, C. A weather-type approach to analysing water resource drought in the Yorkshire region from 1881 to 1998. J. Hydrol. 2002, 262, 177–192. [Google Scholar] [CrossRef]
- Charlton, M.B.; Bowes, M.J.; Hutchins, M.G.; Orr, H.G.; Soley, R.; Davison, P. Mapping eutrophication risk from climate change: Future phosphorus concentrations in English rivers. Sci. Total Environ. 2018, 613, 1510–1526. [Google Scholar] [CrossRef] [PubMed]
- Robinson, E.; Blyth, E.; Clark, D.; Comyn-Platt, E.; Finch, J.; Rudd, A. Climate Hydrology and Ecology Research Support System Potential Evapotranspiration Dataset for Great Britain (1961–2015) [CHESS-PE]; NERC Environmental Information Data Centre: Lancaster, UK, 2015. [Google Scholar]
- Tanguy, M.; Dixon, H.; Prosdocimi, I.; Morris, D.G.; Keller, V.D.J. Gridded Estimates of Daily and Monthly Areal Rainfall for the United Kingdom (1890–2015) [CEH-GEAR]; NERC Environmental Information Data Centre: Lancaster, UK, 2016. [Google Scholar]
- Morris, D.; Flavin, R.; Moore, R. A digital terrain model for hydrology. In Proceedings of the 4th International Symposium on Spatial Data Handling, Zurich, Switzerland, 23–27 July 1990. [Google Scholar]
- Morris, D.; Flavin, R. Sub-Set of the UK 50 M by 50 M Hydrological Digital Terrain Model Grids; NERC, Institute of Hydrology: Wallingford, UK, 1994. [Google Scholar]
- NRFA. National River Flow Archive. 2014. Available online: http://nrfa.ceh.ac.uk/ (accessed on 1 November 2014).
- CEH. CEH Digital River Network of Great Britain Web Map Service. 2014. Available online: https://data.gov.uk/dataset/3c7ea82e-83e0-45a3-9a3f-8ba653b3211b/ceh-digital-river-network-of-great-britain-web-map-service (accessed on 1 November 2014).
- Morton, D.; Rowland, C.; Wood, C.; Meek, L.; Marston, C.; Smith, G.; Wadsworth, R.; Simpson, I. Final Report for LCM2007-The New UK land Cover Map; Countryside Survey Technical Report No. 11/07; NERC Centre for Ecology & Hydrology: Lancaster, UK, 2011. [Google Scholar]
- Ragab, R.; Bromley, J. IHMS-Integrated Hydrological Modelling System. Part1 Hydrological processes and general structure. Hydrol. Process. 2010, 24, 2663–2680. [Google Scholar] [CrossRef]
- Ragab, R.; Bromley, J.; Dörflinger, G.; Katsikides, S. IHMS-Integrated Hydrological Modelling System. Part2 Application of linked unsaturated, DiCaSM and saturated zone, MODFLOW models on Kouris and Akrotiri catchments in Cyprus. Hydrol. Process. 2010, 24, 2681–2692. [Google Scholar] [CrossRef]
- Nash, J.; Sutcliffe, J. River flow forecasting through conceptual models part I—A discussion of principles. J. Hydrol. 1970, 10, 282–290. [Google Scholar] [CrossRef]
- Gupta, H.V.; Kling, H.; Yilmaz, K.K.; Martinez, G.F. Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling. J. Hydrol. 2009, 377, 80–91. [Google Scholar] [CrossRef][Green Version]
- Allen, R.G.; Pereira, L.S.; Raes, D.; Smith, M. Crop Evapotranspiration-Guidelines for Computing Crop Water Requirements-Fao Irrigation and Drainage Paper 56; FAO: Rome, Italy, 1998; Volume 300, p. D05109. [Google Scholar]
- Jenkins, G.; Murphy, J.; Sexton, D.; Lowe, J.; Jones, P.; Kilsbu, C. Ukcp09 Briefing Report; UK Climate Projections; Met Office Hadley Centre: Exeter, UK, 2009. [Google Scholar]
- Cloke, H.L.; Jeffers, C.; Wetterhall, F.; Byrne, T.; Lowe, J.; Pappenberger, F. Climate impacts on river flow: Projections for the Medway catchment, UK, with UKCP09 and CATCHMOD. Hydrol. Process. 2010, 24, 3476–3489. [Google Scholar] [CrossRef]
- Ledbetter, R.; Prudhomme, C.; Arnell, N. A method for incorporating climate variability in climate change impact assessments: Sensitivity of river flows in the Eden catchment to precipitation scenarios. Clim. Chang. 2012, 113, 803–823. [Google Scholar] [CrossRef]
- Bastola, S.; Murphy, C.; Fealy, R. Generating probabilistic estimates of hydrological response for Irish catchments using a weather generator and probabilistic climate change scenarios. Hydrol. Process. 2012, 26, 2307–2321. [Google Scholar] [CrossRef]
- Gudmundsson, L.; Bremnes, J.B.; Haugen, J.E.; Engen-Skaugen, T. Technical Note: Downscaling RCM precipitation to the station scale using statistical transformations—A comparison of methods. Hydrol. Earth Syst. Sci. 2012, 16, 3383–3390. [Google Scholar] [CrossRef]
- Wang, L.; Chen, W. A CMIP5 multimodel projection of future temperature, precipitation, and climatological drought in China. Int. J. Climatol. 2014, 34, 2059–2078. [Google Scholar] [CrossRef]
- McKee, T.B.; Doesken, N.J.; Kleist, J. The relationship of drought frequency and duration to time scales. In Proceedings of the 8th Conference on Applied Climatology, Anaheim, CA, USA, 17–22 January 1993; American Meteorological Society: Boston, MA, USA, 1993. [Google Scholar]
- Tsakiris, G.; Pangalou, D.; Vangelis, H. Regional drought assessment based on the Reconnaissance Drought Index (RDI). Water Resour. Manag. 2007, 21, 821–833. [Google Scholar] [CrossRef]
- Vangelis, H.; Tigkas, D.; Tsakiris, G. The effect of PET method on Reconnaissance Drought Index (RDI) calculation. J. Arid Environ. 2013, 88, 130–140. [Google Scholar] [CrossRef]
- Zarch, M.A.A.; Sivakumar, B.; Sharma, A. Droughts in a warming climate: A global assessment of Standardized precipitation index (SPI) and Reconnaissance drought index (RDI). J. Hydrol. 2015, 526, 183–195. [Google Scholar] [CrossRef]
- Michaelides, S.; Pashiardis, S. Monitoring drought in Cyprus during the 2007–2008 hydrometeorological year by using the standardized precipitation index (SPI). Eur. Water 2008, 23, 123–131. [Google Scholar]
- Livada, I.; Assimakopoulos, V. Spatial and temporal analysis of drought in Greece using the Standardized Precipitation Index (SPI). Theor. Appl. Climatol. 2007, 89, 143–153. [Google Scholar] [CrossRef]
- Karavitis, C.A.; Tsesmelis, D.E.; Skondras, N.A.; Stamatakos, D.; Alexandris, S.; Fassouli, V.; Vasilakou, C.G.; Oikonomou, P.; Gregorič, G.; Grigg, N.S.; et al. Linking drought characteristics to impacts on a spatial and temporal scale. Hydrol. Res. 2014, 16, 1172–1197. [Google Scholar] [CrossRef]
- Al-Faraj, F.A.; Scholz, M.; Tigkas, D.; Boni, M. Drought indices supporting drought management in transboundary watersheds subject to climate alterations. Water Policy 2014, 17, 865–886. [Google Scholar] [CrossRef]
- Herrera-Pantoja, M.; Hiscock, K. The effects of climate change on potential groundwater recharge in Great Britain. Hydrol. Process. 2008, 22, 73–86. [Google Scholar] [CrossRef]
- Alexander, L.V.; Tett, S.F.B.; Jónsson, T. Recent observed changes in severe storms over the United Kingdom and Iceland. Geophys. Res. Lett. 2005, 32. [Google Scholar] [CrossRef][Green Version]
- Charlton, M.B.; Arnell, N.W. Assessing the impacts of climate change on river flows in England using the UKCP09 climate change projections. J. Hydrol. 2014, 519, 1723–1738. [Google Scholar] [CrossRef]
- Gosling, R. Assessing the impact of projected climate change on drought vulnerability in Scotland. Hydrol. Res. 2014, 45, 806–816. [Google Scholar] [CrossRef]
- Kay, A.; Bell, V.A.; Blyth, E.M.; Crooks, S.M.; Davies, H.N.; Reynard, N.S.; Kay, A.; Bell, V. A hydrological perspective on evaporation: Historical trends and future projections in Britain. J. Water Clim. Chang. 2013, 4, 193–208. [Google Scholar] [CrossRef]
- Chun, K.P.; Wheater, H.S.; Onof, C. Projecting and hindcasting potential evaporation for the UK between 1950 and 2099. Clim. Chang. 2012, 113, 639–661. [Google Scholar] [CrossRef]
- Khalili, D.; Farnoud, T.; Jamshidi, H.; Kamgar-Haghighi, A.A.; Zand-Parsa, S. Comparability Analyses of the SPI and RDI Meteorological Drought Indices in Different Climatic Zones. Water Resour. Manag. 2011, 25, 1737–1757. [Google Scholar] [CrossRef]
|Climate Time||Low Emissions||Medium Emissions||High Emissions|
|Change in Precipitation (%)||2020s||4.7||2.5||−6.7||4.23||1.18||5.7||0.97||−7.52||1.8||0.24||6.1||1||−8.16||1.61||0.14|
|Change in Temperature (°C)||2020s||1.1||1.18||1.61||1.62||1.38||1.27||1.2||1.72||1.6||1.45||1.3||1.2||1.5||1.65||1.41|
|Time Period||NSE %||R2||Modelled Flow m3 s−1||Observed Flow m3 s−1||% Error|
|Hydrological Variable||Seasons||Change in Land-Use Type|
|100% Grass Area Replaced by Barley||Grass Area Replaced by Oil Seed Rape||50% Winter Barley Replaced by Oil Seed Rape||100% Winter Barley Replaced by Oil Seed Rape||Grass Area Replaced by 40% Urban Expansion||All Crops Replaced as Broadleaved Forest|
|Groundwater GW recharge||Winter||12.86||−4.90||−7.6||−13.94||−1.92||−0.65|
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Afzal, M.; Ragab, R. Drought Risk under Climate and Land Use Changes: Implication to Water Resource Availability at Catchment Scale. Water 2019, 11, 1790. https://doi.org/10.3390/w11091790
Afzal M, Ragab R. Drought Risk under Climate and Land Use Changes: Implication to Water Resource Availability at Catchment Scale. Water. 2019; 11(9):1790. https://doi.org/10.3390/w11091790Chicago/Turabian Style
Afzal, Muhammad, and Ragab Ragab. 2019. "Drought Risk under Climate and Land Use Changes: Implication to Water Resource Availability at Catchment Scale" Water 11, no. 9: 1790. https://doi.org/10.3390/w11091790