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Quantifying the impacts of land use change on flooding in data-poor watersheds in El Salvador with community-based model calibration

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Abstract

Urbanization can decrease the flood mitigation capacity of a catchment, and these impacts can be measured with hydrologic modeling. Models are typically calibrated against observed discharge and satellite data, but in a developing country context like El Salvador, these data are often unavailable. Even if a model is well calibrated and tested, its ability to influence land use plans requires additional stakeholder engagement. This study uses a participatory modeling approach to calibrate a watershed model and estimate flood impacts of land use scenarios in two urbanizing catchments in El Salvador with a linked land use–catchment hydrology–hydraulic model calibrated on flood height observed by community members. This paper explores both the value of household flood observation in model calibration and differences of flood extent estimates for land use scenarios with an uncalibrated versus community-calibrated model. We find that calibration using household surveys improves model performance. Results of scenario modeling suggest that while past urbanization has significantly increased household flood exposure in one catchment, future land use scenarios that further urbanize or reforest large areas of either catchment have little effect on the number of houses at risk for flooding. The success of the participatory methodology to increase model accuracy and link results to local land use planning makes clear the contribution of social science to traditional hydrological methods to understand land use–flood links in data-poor catchments.

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References

  • Aronica G, Bates PD, Horritt MS (2002) Assessing the uncertainty in distributed model predictions using observed binary pattern information within GLUE. Hydrol Process 16:2001–2016. doi:10.1002/hyp.398

    Article  Google Scholar 

  • Bathurst JC, Birkinshaw SJ, Cisneros F, Fallas J, Iroumé A, Iturraspe R, Novillo MG, Urciuolo A et al (2011) Forest impact on floods due to extreme rainfall and snowmelt in four Latin American environments 2: model analysis. J Hydrol 400:292–304

    Article  Google Scholar 

  • Beighley RE, Moglen GE (2003) Adjusting measured peak discharges from an urbanizing watershed to reflect a stationary land use signal. Water Resour Res 39:1–11

    Google Scholar 

  • Bonell M (2005) Runoff Generation in Tropical Forests. Pages 314-406. In Forests, Water and People in the Humid Tropics. In: Bonell M, Bruijnzeel LA (eds) Cambridge University Press, Cambridge, p 925

  • Borah DK (2011) Hydrologic procedures of storm event watershed models: a comprehensive review and comparison. Hydrol Process 25:3472–3489

    Article  Google Scholar 

  • Bradshaw CJ, Sodhi NS, Peh KS, Brook BW (2007) Global evidence that deforestation amplifies flood risk and severity in the developing world. Glob Change Biol 13:2379–2395

    Article  Google Scholar 

  • Bruijnzeel LA (1990) Hydrology of moist tropical forests and effects of conversion: A state of knowledge review. National Committee of the Netherlands for the International Hydrological Programme of Unesco, pp 224

  • Bruijnzeel LA (2004) Hydrological functions of tropical forests: not seeing the soil for the trees? Agric Ecosyst Environ 104:185–228. doi:10.1016/j.agee.2004.01.015

  • Buraas EM, Renshaw CE, Magilligan FJ, Dade WB (2014) Impact of reach geometry on stream channel sensitivity to extreme floods. Earth Surf Process Landforms 39:1778–1789

    Article  Google Scholar 

  • Calder I, Aylward B (2006) Forest and floods: moving to an evidence-based approach to watershed and integrated flood management. Water Int 31:87–99

    Article  Google Scholar 

  • CEPAL (Comision Economica para America Latin y el Caribe). (2011) Resumen Regional del Impacto de la Depresion Tropical 12-E en Centroamerica. Cuantificacion de Danos y Perdidas Sufridos Por los Paises de le Region en el Mes de Octubre de 2011, November 2011

  • Chin A (2006) Urban transformation of river landscapes in a global context. Geomorphology 79:460–487

    Article  Google Scholar 

  • Chow VT (1994) Open channel hydraulics. Mc-Graw Hill, New York

    Google Scholar 

  • CORCULL (Comite de Rescate de Cuenca de La Libertad). (2015) Plan de Manejo de Cuenca Jute San Antonio, San Salvador

  • Di Baldassarre G, Schumann G, Bates PD (2009) A technique for the calibration of hydraulic models using uncertain satellite observations of flood extent. J Hydrol 367(3–4):276–282. doi:10.1016/j.jhydrol.2009.01.020

    Article  Google Scholar 

  • Doocy S, Daniels A, Murray S, Kirsch TD (2013) The human impact of floods: a historical review of events 1980–2009 and systematic literature review. PLoS Curr Disasters pp 1–27

  • Duan Q, Gupta HV, Sorooshian S, Rousseau AN, Turcotte R, Duan Q, Gupta HV, Sorooshian S, Rousseau AN, Turcotte R (eds) (2004) Calibration of watershed models. American Geophysical Union, Washington, p 345

    Google Scholar 

  • Erazo AM (2010) Impacts of land use on run-off in the Arenal-Montserrat Basin in the City of San Salvador, El Salvador, 1992–2009. Report for Ministry of Environment and Natural Resources and National Service of Land Studies, San Salvador. (In Spanish)

  • FAO (2011) Global forest resources assessment 2010. FAO forestry paper 163, Rome, pp 378

  • Giambelluca TW (2002) Hydrology of altered tropical forest. Hydrol Process 16:1665–1669

    Article  Google Scholar 

  • Government of El Salvador. (2011) Decree #644, Legislative Assembly of El Salvador. Ley de Ordenamiento Territorial y Desarrollo Territorial. http://www.asamblea.gob.sv/eparlamento/indice-legislativo/buscador-de-documentos-legislativos/ley-de-ordenamiento-y-desarrollo-territorial. (In Spanish)

  • Hamilton L (1987) What are the impacts of deforestation in the Himalayas on the Ganges-Brahmaputra lowlands and delta? Relations between assumptions and facts. Mt Res Dev 7:256–263

    Article  Google Scholar 

  • Hecht SB, Saatchi SS (2007) Globalization and forest resurgence: changes in forest cover in El Salvador. Bioscience 57:663–672

    Article  Google Scholar 

  • Hecht SB, Kandel S, Gomes I et al (2006) Globalization, Forest Resurgence, and Environmental Politics in El Salvador. World Dev 34:308–323. doi:10.1016/j.worlddev.2005.09.005

    Article  Google Scholar 

  • Hewlett JD (1982) Forests and floods in light of recent investigations. In: Proceedings of the Canadian hydrology symposium. 14–15 June 1982. Fredricton, New Brunswick. Associate Committee on Hydrology, National Research Council of Canada, pp 543–559

  • Hollis GE (1975) The effect of urbanization on floods of different recurrence interval. Water Resour Res 11:431–435

    Article  Google Scholar 

  • Horritt MS (2006) A methodology for the validation of uncertain flood inundation models. J Hydrol 326(1–4):153–165. doi:10.1016/j.jhydrol.2005.10.027

    Article  Google Scholar 

  • Hunter NM, Bates PD, Horritt MS, Wilson MD (2007) Simple spatially-distributed models for predicting flood inundation: a review. Geomorphology 90:208–225

    Article  Google Scholar 

  • Kleinen T, Petschel-Held G (2007) Integrated assessment of changes in flooding probabilities due to climate change. Clim Change 81:283–312

    Article  Google Scholar 

  • Kline M, Cahoon B (2010) Protecting river corridors in vermont. J Am Water Resour Assoc 46:227–236

    Article  Google Scholar 

  • Krishnaswamy J, Bonell M, Venkatesh B, Purandara BK, Lele S, Kiran MC, Reddy V, Badiger S, Rakesh RN (2012) The rain–runoff response of tropical humid forest ecosystems to use and reforestation in the Western Ghats of India. J Hydrol 472–473:216–237

    Article  Google Scholar 

  • Leopold L (1968) Hydrology for urban land planning—a guidebook on the hydrologic effects of urban land use. Geological Survey Circular. 554:1–18

    Google Scholar 

  • Liao KH (2012) A theory on urban resilience to floods-a basis for alternative planning practices. Ecol Soc 17:1–15

    Google Scholar 

  • Mason DC, Bates PD, Dall’Amico JT (2009) Calibration of uncertain flood inundation models using remotely sensed water levels. J Hydrol 368:224–236

    Article  Google Scholar 

  • McColl C, Aggett G (2007) Land-use forecasting and hydrologic model integration for improved land-use decision support. J Environ Manage 84:494–512

    Article  Google Scholar 

  • Mejía AI, Moglen GE (2010) Impact of the spatial distribution of imperviousness on the hydrologic response of an urbanizing basin. Hydrol Process 24:3359–3373

    Article  Google Scholar 

  • Merwade V, Cook A, Coonrod J (2008) GIS techniques for creating River Terrain models for hydrodynamic modeling and flood inundation mapping. Environ Model Softw 23(10–11):1300–1311. http://linkinghub.elsevier.com/retrieve/pii/S1364815208000455

  • Myers N (1986) Environmental repercussions of deforestation in the Himalayas. J World For Resour 2:63–72

    Google Scholar 

  • Olang LO, Fürst J (2011) Effects of land cover change on flood peak discharges and runoff volumes: model estimates for the Nyando River Basin, Kenya. Hydrol Process 25:80–89

    Article  Google Scholar 

  • Palmer MA, Lettenmaier DP, Poff NL, Postel SL, Richter B, Warner R (2009) Climate change and river ecosystems: protection and adaptation options. Environ Manage 44:1053–1068

    Article  Google Scholar 

  • Pappenberger F, Beven K, Horritt M, Blazkova S (2005) Uncertainty in the calibration of effective roughness parameters in HEC-RAS using inundation and downstream level observations. J Hydrol 302(1–4):46–69. http://linkinghub.elsevier.com/retrieve/pii/S0022169404003294

  • Pappenberger F, Matgen P, Beven KJ, Henry JB, Pfister L, Fraipont P (2006) Influence of uncertain boundary conditions and model structure on flood inundation predictions. Adv Water Resour 29:1430–1449. doi:10.1016/j.advwatres.2005.11.012

    Article  Google Scholar 

  • Pappenberger F, Beven K, Frodsham K, Romanowicz R, Matgen P (2007) Grasping the unavoidable subjectivity in calibration of flood inundation models: a vulnerability weighted approach. J Hydrol 333:275–287

    Article  Google Scholar 

  • Pappenberger F, Beven KJ, Ratto M, Matgen P (2008) Multi-method global sensitivity analysis of flood inundation models. Adv Water Resour 31:1–14. doi:10.1016/j.advwatres.2007.04.009

    Article  Google Scholar 

  • Pattison I, Lane SN (2011) The link between land-use management and fluvial flood risk: a chaotic conception? Prog Phys Geogr 36:72–92

    Article  Google Scholar 

  • Romanowicz RJ, Young PC, Beven KJ, Pappenberger F (2008) A data based mechanistic approach to nonlinear flood routing and adaptive flood level forecasting. Adv Water Resour 31:1048–1056. doi:10.1016/j.advwatres.2008.04.015

    Article  Google Scholar 

  • Saghafian B, Farazjoo H, Bozorgy B, Yazdandoost F (2007) Flood intensification due to changes in land use. Water Resour Manage 22:1051–1067

    Article  Google Scholar 

  • Sanyal J, Densmore AL, Carbonneau P (2014) Analysing the effect of land-use/cover changes at sub-catchment levels on downstream flood peaks: a semi-distributed modelling approach with sparse data. Catena 118:28–40

    Article  Google Scholar 

  • Scott DF, Bruijnzeel LA, Mackensen J (2005) The hydrological and soil impacts of forestation in the tropics. In: Bonell M, Bruijnzeel LA (eds) Forests, water and people in the humid tropics. Cambridge University Press, Cambridge, pp 622–652

    Chapter  Google Scholar 

  • Seibert J, McDonnell JJ (2002) On the dialog between experimentalist and modeler in catchment hydrology: Use of soft data for multicriteria model calibration. Water Resour Res 38(11):1214. doi:10.1029/2001WR000978

    Google Scholar 

  • Shuster WD, Bonta J, Thurston H, Warnemuende E, Smith DR (2005) Impacts of impervious surface on watershed hydrology: a review. Urban Water J 2:263–275

    Article  Google Scholar 

  • Smemoe CM, Nelson EJ, Zundel AK, Miller AW (2007) Demonstrating floodplain uncertainty using flood probability maps. J Am Water Resour Assoc 43:359–371

    Article  Google Scholar 

  • Smiet F (1987) Tropical watershed forestry under attack. Ambio 16:156–158

    Google Scholar 

  • Tellman B, Gray LC, Bacon CM (2011) Not fair enough: historic and institutional barriers to fair trade coffee in El Salvador. J Latin Am Geogr 10:107–128

    Article  Google Scholar 

  • Thomas H, Nisbet TR (2007) An assessment of the impact of floodplain woodland on flood flows. Water Environ J 21:114–126

    Article  Google Scholar 

  • UNDAC (United Nations Disaster Assessment and Coordination) (2010) Evaluation of nationalcapacity for emergency response. Office for Humanitarian Affairs. San Salvador, pp 77. (In Spanish)

  • USACE (2008) Hydrologic modeling system (HEC-HMS) Applications Guide. US Army Corps of Engineers, pp 1–116

  • USDA-NRCS (2004) Hydrologic soil-cover complexes. Part 630. In: National Engineering Handbook. (Chapter 9)

  • van Dijk AI, van Noordwijk M, Calder IR, Bruijnzeel LA, Schellekens J, Chappell NA (2009) Forest-flood relation still tenuous—comment on ‘Global evidence that deforestation amplifies flood risk and severity in the developing world’ by Bradshaw CJA, Sodi NS, Peh KS-H, Brook BW. Global Change Biol 15:110–115

    Article  Google Scholar 

  • Voinov A, Gaddis EJB (2008) Lessons for successful participatory watershed modeling: a perspective from modeling practitioners. Ecol Model 216:197–207

    Article  Google Scholar 

  • Zimmerman A, Francke T, Elsenbeer H (2012) Forests and erosion: insights from a study of suspended-sediment dynamics in an overland flow-prone rainforest catchment. J Hydrol 428–429:170–181

    Article  Google Scholar 

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Acknowledgments

This study was made possible by grants from the Tropical Resources Institute at Yale, Travel Grant for Latin America and Iberian Studies, Yale Institute for Biospheric Research, and the National Science Foundation. Field work was made possible and enjoyable by Oscar Ruiz, Coordinator of Water Resources for ACUA (United Community Association for Agriculture and Water), Zulma Hernandez, community coordinator for South La Libertad for CRIPDES (Association for Development El Salvador) and field assistants Manuelito, Rene Landaverde, and the community leaders and policemen who accompanied and ensured the safety of all field visits. The manuscript was greatly improved thanks to two anonymous reviewers.

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Authors and Affiliations

  1. School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, AZ, USA

    Beth Tellman

  2. Yale University School of Forestry and Environmental Studies, New Haven, CT, USA

    James Edward Saiers

  3. Association for Community Water and Agriculture (ACUA), San Salvador, El Salvador

    Oscar Antonio Ruiz Cruz

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  1. Beth Tellman
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  2. James Edward Saiers
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Correspondence to Beth Tellman.

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Editor: James Pittock.

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Tellman, B., Saiers, J.E. & Cruz, O.A.R. Quantifying the impacts of land use change on flooding in data-poor watersheds in El Salvador with community-based model calibration. Reg Environ Change 16, 1183–1196 (2016). https://doi.org/10.1007/s10113-015-0841-y

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