Technical Papers
Jan 13, 2014

Assessment of Surface Runoff Vulnerability to Climate Change in the Lerma-Chapala Basin, Mexico

Publication: Journal of Water Resources Planning and Management
Volume 140, Issue 12

Abstract

The Intergovernmental Panel on Climate Change (IPCC) suggests that vulnerability to climate change depends on three main factors: exposure, sensitivity, and adaptive capacity. Each factor was evaluated in a hydrologic context; for instance, exposure was interpreted as a change in surface runoff. Factors were combined using a geographic information system (GIS), and an overall methodology was proposed to map hydrologic vulnerability. The Lerma-Chapala basin was selected as a case study since the largest water body in Mexico is located at its outlet. The long-term rate of change in surface runoff was estimated considering the variation in future precipitation from 23 atmosphere–ocean general circulation models (AOGCMs) and by using the reliability ensemble averaging (REA) method. Two climate change scenarios from an IPCC special report on emissions scenarios and three time horizons (2030, 2050, and 2100) were chosen. Results showed a decrease in surface runoff of up to 29% (A1B-2100) in the northern part of the basin, and consequently this area is likely to have more frequent droughts. However, it would be challenging to compensate for the lack of surface runoff since groundwater resources are already depleted, and thus adaptive measures need to be taken.

Get full access to this article

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

Acknowledgments

The first author expresses gratitude to the National Council of Science and Technology (CONACyT, by its acronym in Spanish) for its continuous financial support. The preparation of this paper was made possible with financial aid from Project TH-1005.1 (Atlas de Vulnerabilidad Hídrica ante el Cambio Climático, Instituto Mexicano de Tecnología del Agua). Reviews by three anonymous referees and the journal’s associate editor improved this paper considerably.

References

Adams, B. (2010). Super decisions software, Creative Decisions Foundation, Pittsburgh.
Arguez, A. (2007). “Supplement to state of the climate in 2006.” Bull. Am. Meteorol. Soc., 88(6), s1–s135.
Bou-Zeid, E. E., and El-Fadel, M. M. (2002). “Climate change and water resources in lebanon and the middle east.” J. Water Resour. Plann. Manage., 343–355,.
Caldwell, P. (2010). “California wintertime precipitation bias in regional and global climate models.” J. Appl. Meteor. Climatol., 49(10), 2147–2158.
Comisión Nacional del Agua (CNA). (2000). Mexican official standard NOM-011-CNA-2000, México City.
Comisión Nacional del Agua (CONAGUA). (2008).National water program 2007–2012, Secretaría de Medio Ambiente y Recursos Naturale, México City.
Comisión Nacional del Agua (CONAGUA). (2010). Water statistics in México, 2010 edition, Secretaría de Medio Ambiente y Recursos Naturale, México City.
Comisión Nacional del Agua (CONAGUA). (2012a). “Spatial analysis of the most vulnerable regions to droughts in México, Subdirección General de Programación.” Secretaría de Medio Ambiente y Recursos Naturale, México City.
Comisión Nacional del Agua (CONAGUA). (2012b). “México’s main dams geolocalization.” 〈http://siga.cna.gob.mx/〉 (Nov. 4, 2013).
Comisión Nacional del Agua (CONAGUA). (2013). “Technical Committee on Hydraulic Infrastructure, CTOOH.” 〈http://www.conagua.gob.mx/CONAGUA07/Comunicados/PrensaNo237-13.pdf〉 (Oct. 21, 2013).
Comisión Nacional para el Conocimiento y Uso de la Biodiversidad (CONABIO). (1988). Land use and vegetation cover map, Scale 1:1’000,000, modified from land use and vegetation covers developed by Instituto Nacional de Estadística, Geografía e Informática (INEGI)—Instituto Nacional de Ecología (INE), México City.
Consejo Nacional de Población (CONAPO). (2010). Margination indexes 2005, 1st Ed., México City.
Cotler, H., Mazari, M., and De Anda, J. (2006). Atlas of Lerma-Chapala Basin, Instituto Nacional de Ecología, SEMARNAT. UNAM, 195, México City.
Curry, J. A., and Webster, P. J. (2011). “Climate science and the uncertainty monster.” Bull. Am. Meteorol. Soc., 92(12), 1667–1682.
da Rocha, R. P., Morales, C. A., Cuadra, S. V., and Ambrizzi, T. (2009). “Precipitation diurnal cycle and summer climatology assessment over South America: An evaluation of regional climate model version 3 simulations.” J. Geophys. Res., 114(D10).
Forster, P., et al. (2007). “Changes in atmospheric constituents and in radiative forcing.” Climate change 2007: The physical science basis, S. Solomon, et al., eds., Cambridge University Press, Cambridge, U.K., 129–234.
Füssel, H.-M. (2009). “Review and quantitative analysis of indices of climate change exposure, adaptive capacity, sensitivity, and impacts.” Background Note to the World Development Rep. 2010, Potsdam Institute for Climate Impact Research, Germany.
Ghan, S. J., Shippert, T., and Fox, J. (2006). “Physically based global downscaling: Regional evaluation.” J. Clim., 19(3), 429–445.
Giorgi, F., and Mearns, L. O. (2002). “Calculation of average, uncertainty range, and reliability of regional climate changes from AOGCM simulations via the “reliability ensemble averaging” (REA) method.” J. Clim., 15(10), 1141–1158.
Giorgi, F. F., et al. (2011). “Higher hydroclimatic intensity with global warming.” J. Clim., 24(20), 5309–5324.
Gordon, H. B., Whetton, A. B., Pittock, A. B., Fowler, A. M., and Haylock, M. R. (1992). “Simulated changes in daily rainfall intensity due to the enhanced greenhouse effect: Implications for extreme rainfall events.” Clim. Dyn., 8(2), 83–102.
IMTA. (2010). “Global Hydrologic Vulnerability.” Chapter 4, Vulnerability atlas of climate change in México, Mexican Institute of Water Technology, Jiutepec, Morelos, México.
Instituto Nacional de Estadística Geografía e Informática (INEGI). (2010). Second census on population and housing 2010, México and its municipalities, México City.
Intergovernmental Panel on Climate Change (IPCC). (2001). “Synthesis report. A contribution of working groups I, II, and III to the third assessment report of the Integovernmental Panel on Climate Change.” R. T. Watson, and the Core Writing Team, eds., Cambridge University Press, Cambridge, U.K., 398.
Intergovernmental Panel on Climate Change (IPCC). (2007a). “Summary for policymakers.” The physical science basis, contribution of working group I to the fourth assessment report of the Intergovernmental Panel on Climate Change, S. Solomon, et al., eds., Cambridge University Press, Cambridge, U.K.
Intergovernmental Panel on Climate Change (IPCC). (2007b). Climate change 2007: The physical science basis, contribution of working group I to the fourth assessment report of the Intergovernmental Panel on Climate Change. S. Solomon, et al., eds., Cambridge University Press, Cambridge, U.K.
Jenks, G. (1967). “The data model concept in statistical mapping.” International yearbook cartography, Vol. 7, 186–190.
Jia, X., and Lin, H. (2011). “Influence of forced large-scale atmospheric patterns on surface air temperature in China.” Mon. Weather Rev., 139(3), 830–852.
Jiménez, R., and Maderey, R. (2002). Mean annual runoff, national atlas of México, volume II, scale 1:4’000,000, Institute of Geography, UNAM, México, Comisión Nacional para el Conocimiento y Uso de la Biodiversidad (CONABIO), México City.
Jones, P. D., and Moberg, A. (2003). “Hemispheric and large-scale surface air temperature variations: An extensive revision and an update to 2001.” J. Clim., 16(2), 206–223.
Kirshen, P. H. (2002). “Potential impacts of global warming on groundwater in Eastern Massachusetts.” J. Water Resour. Plann. Manage., 216.
Lee, S.-Y., Hamlet, A. F., Fitzgerald, C. J., and Burges, S. J. (2011). “Methodology for developing flood rule curves conditioned on El Niño-Southern oscillation classification.” J. Am. Water Resour. Assoc., 47(1), 81–92.
Lim, Y.-K., Cai, M., Kalnay, E., and Zhou, L. (2008). “Impact of vegetation types on surface temperature change.” J. Appl. Meteorol. Climatol., 47(2), 411–424.
Lorenz, C., and Kunstmann, H. (2012). “The hydrological cycle in three state-of-the-art reanalyses: Intercomparison and performance analysis.” J. Hydrometeor, 13(5), 1397–1420.
Maidment, D. R. (2002). Arc hydro: GIS for water resources, ESRI Press, Redlands, CA.
Miller, W., Butler, R., Piechota, T., Prairie, J., Grantz, K., and DeRosa, G. (2012). “Water management decisions using multiple hydrologic models within the san juan river basin under changing climate conditions.” J. Water Resour. Plann. Manage., 412–420.
Minville, M., Brissette, F., and Leconte, R. (2010). “Impacts and uncertainty of climate change on water resource management of the Peribonka river system (Canada).” J. Water Resour. Plann. Manage., 376–385.
Mitchell, T. D., and Jones, P. D. (2005). “An improved method of constructing a database of monthly climate observations and associated high-resolution grids.” Int. J. Climatol., 25(6), 693–712.
Montero-Martínez, M. J., Ojeda-Bustamante, W., Santana-Sepúlveda, J. S., Prieto-González, R., and Lobato-Sánchez, R. (2013). “Consulting system on regional projections for climate change in México.” Tecnología y Ciencias del Agua, 4(2), 113–128.
Noda, A., and Tokiota, T. (1989). “The effect of doubling the CO2 concentration on convective and non-convective precipitation in a general circulation model coupled with a simple mixed layer ocean model.” J. Meteorol. Soc. Jpn., 67(6), 1057–1067.
Peel, M. C., and Blöschl, G. (2011). “Hydrological modeling in a changing world.” Prog. Phys. Geog., 35(2), 249–261.
Pepin, N. C., Losleben, M., Hartman, M., and Chowanski, K. (2005). “A comparison of SNOTEL and GHCN/CRU surface temperatures with free-air temperatures at high elevations in the Western United States: Data compatibility and trends.” J. Clim., 18(12), 1967–1985.
Prieto-González, R., Cortés-Hernández, V. E., and Montero-Martínez, M. J. (2011). “Variability of the standardized precipitation index over México under the A2 climate change scenario.” Atmósfera, 24(3), 243–250.
Rosenzwelg, C., and Parry, M. (1994). “Potential impact of climate change on world food supply.” Nature, 367(6459), 133–138.
Rowell, D. P. (2013). “Simulating SST teleconnections to Africa: What is the state of the art?” J. Climate, 26(15), 5397–5418.
Saaty, T. (2001). The analytic network process: Decision making with dependence and feedback, RWS Publications, Pittsburgh.
Schiermeier, Q. (2011). “Increased flood risk linked to global warming.” Nature, 470(7334), 316.
Seager, R., et al. (2012). “Does global warming cause intensified interannual hydroclimate variability?” J. Clim., 25(9), 3355–3372.
Secretaria del Medio Ambiente y Recursos Naturales (SEMARNAT). (2009). Climate change special program 2009–2012, Diario Oficial de la Federación, México City.
Secretaria del Medio Ambiente y Recursos Naturales (SEMARNAT). (2010). Climate change in México, México City.
Secretaría de Recursos Naturales (SEMARNAP). (1998). Dominant soils map of México, first approximation, scale 1:4’000,000, México City.
Sheshukov, A. Y., Siebenmorgen, C. B., and Douglas-Mankin, K. R. (2011). “Seasonal and annual impacts of climate change on watershed response using an ensemble of global climate models.” Trans. ASABE, 54(6), 2209–2218.
Simmons, A. J., et al. (2004). “Comparison of trends and low-frequency variability in CRU, ERA-40, and NCEP/NCAR analyses of surface air temperature.” J. Geophys. Res., 109(D24), D24115.
Smith, J. B., et al. (2001). “Vulnerability to climate change and reasons for concern: A synthesis.” Climate change 2001: Impacts, adaptation and vulnerability, contribution of working group II to the third assessment report of the intergovernmental panel on climate change, J. J. McCarthy, et al., eds., Cambridge University Press, Cambridge, U.K.
U.S. EPA. (2012). “U.S. environmental protection agency climate change adaptation plan.” Public review draft, Washington, DC.
Xie, H., Eheart, J., and An, H. (2008). “Hydrologic and economic implications of climate change for typical river basins of the agricultural Midwestern United States.” J. Water Resour. Plann. Manage., 205–213.

Information & Authors

Information

Published In

Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 140Issue 12December 2014

History

Received: Jul 26, 2012
Accepted: Jan 10, 2014
Published online: Jan 13, 2014
Discussion open until: Nov 12, 2014
Published in print: Dec 1, 2014

Permissions

Request permissions for this article.

Authors

Affiliations

Iván Rivas Acosta [email protected]
Researcher, Surface Hydrology Dept., Mexican Institute of Water Technology, Jiutepec, Morelos 62550, Mexico (corresponding author). E-mail: [email protected]; [email protected]
Martín José Montero Martínez [email protected]
Researcher, National Water Commission, National Meteorological Service, Miguel Hidalgo, 11860 Mexico City, DF, Mexico. 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