Abstract
This investigation aims to identify, prioritize, and determine the trend of changes in the factors affecting flood potential in the Khorramabad watershed in Iran; propose and evaluate appropriate management solutions to mitigate driving forces and pressures; and utilize the DPSIR framework to improve the state and reduce the relevant impacts. For this purpose, we quantified several indicators and criteria for each component of a conceptual cause–effect relationship diagram. According to the findings, climate change (with an average rank of 2.93), population pressure (~ 2.78), and traditional animal husbandry (~ 2.45) are the most influential factors influencing the occurrence of flooding in this watershed. The combination of flood risk factors has resulted in a significant increase in runoff production and consequently in flood discharge in the region. The results of this study indicate that: (a) there has been an upward trend in flood occurrence; (b) the pressure caused by the driving forces is intensifying; (c) the ability of managers to control the driving force is extremely limited; and d) the introduced policies have failed to mitigate flood risk.
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All data, models, and code generated or used during the study appear in the submitted article. Further details could be obtained upon sending an email to the corresponding author at e.karimi64@areeo.ac.ir.
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References
Adedeji OA, Olafiaji EM, Omole FK, Olanibi JA, Yusuff L (2014) An assessment of the impact of road transport on rural development: a case study of Obokun local government area of Osun State, Nigeria. Br J Environ Sci 2(1):34–48
Akbari M, Memarian H, Neamatollahi E, Jafari Shalamzari M, Alizadeh Noughani M, Zakeri D (2020) Prioritizing policies and strategies for desertification risk management using MCDM–DPSIR approach in northeastern Iran. Environ Dev Sustain 23(2):2503–2523. https://doi.org/10.1007/s10668-020-00684-3
Ali U, Ali SA, Ikbal J, Bashir M, Fadhi M, Ahmad M, Al-dharab H, Ali S (2018) Soil erosion risk and flood behavior assessment of Sukhang catchment, Kashmir basin: using GIS and remote sensing. J Remote Sens GIS 7(1):1–8. https://doi.org/10.4172/2469-4134.1000230
Bruno MF, Saponieri A, Molfetta MG, Damiani L (2020) The DPSIR approach for coastal risk assessment under climate change at regional scale: the case of apulian coast (Italy). J Mar Sci Eng 8(7):531. https://doi.org/10.3390/jmse8070531
Cammalleri C, Arias-Muñoz C, Barbosa P, de Jager A, Magni D, Masante D, Mazzeschi M, McCormick N, Naumann G, Spinoni J (2021) A revision of the combined drought indicator (CDI) used in the European drought observatory (EDO). Nat Hazards Earth Syst Sci 21(2):481–495. https://doi.org/10.5194/nhess-21-481-2021
Carr ER, Wingard PM, Yorty SC, Thompson MC, Jensen NK, Roberson J (2007) Applying DPSIR to sustainable development. Int J Sustain Dev 14(6):543–555. https://doi.org/10.1080/13504500709469753
Corella JP, Benito G, Wilhelm B, Montoya E, Rull V, Vegas-Vilarrúbia T, Valero-Garcés BL (2019) A millennium-long perspective of flood-related seasonal sediment yield in mediterranean watersheds. Glob Planet Change. https://doi.org/10.1016/j.gloplacha.2019.03.016
de Martonne E (1926) Une nouvelle function climatologique: L’indice d’aridité. Meteorologie 2:449–459
European Economic Area (2003) Environmental indicators: typology and use in reporting. European Environment Agency, p 20
Garcıa-Ruiz JM, Arnáez J, Beguerıa S, Seeger M, Martı-Bono C, Regüés D, Lana-Renault N, White S (2005) Runoff generation in an intensively disturbed, abandoned farmland catchment Central Spanish Pyrenees. CATENA 59(1):79–92. https://doi.org/10.1016/j.catena.2004.05.006
Ghobadi M, Ahmadipari M, Salehi E (2016) Flood risk assessment and zoning of human settlements in line with sustainable development using fuzzy AHP in GIS envoronmnet and DPSIR model (Case study: Abali). Environ Sci Technol 18(3):351–363
Gregory AJ, Atkins JP, Burdon D, Elliott M (2013) A problem structuring method for ecosystem-based management: the DPSIR modelling process. Eur J Oper Res 227(3):558–569. https://doi.org/10.1016/j.ejor.2012.11.020
Haer T, Husby TG, Botzen WJW, Aerts JCJH (2020) The safe development paradox: an agent-based model for flood risk under climate change in the European union. Glob Environ Change. https://doi.org/10.1016/j.gloenvcha.2019.102009
Hammond M, Chen AS, Batica J, Butler D, Djordjević A, Gourbesville P, Manojlović N, Mark O, Veerbeek W (2018) A new flood risk assessment framework for evaluating the effectiveness of policies to improve urban flood resilience. Urban Water J 15(5):427–436. https://doi.org/10.1080/1573062X.2018.1508598
Hansson K, Danielson M, Ekenberg L (2008) A framework for evaluation of flood management strategies. J Environ Manag 86(3):465–480. https://doi.org/10.1016/j.jenvman.2006.12.037
Hao L, Pan C, Fang D, Zhang X, Zhou D, Liu P, Liu Y, Sun G (2018) Quantifying the effects of overgrazing on mountainous watershed vegetation dynamics under a changing climate. Sci Total Environ. https://doi.org/10.1016/j.scitotenv.2018.05.224
Hungerford H, Smiley SL, Blair T, Beutler S, Bowers N, Cadet E (2019) Co** with floods in pikine, senegal: an exploration of household impacts and prevention efforts. Urban Sci 3(2):54. https://doi.org/10.3390/urbansci3020054
Jafari Shalamzari M, Zhang W, Gholami A, Zhang Z (2019) Runoff harvesting site suitability analysis for wildlife in sub-desert regions. Water 11(9):1944. https://doi.org/10.3390/w11091944
Jang JH, Vohnicky P, Kuo YL (2021) Improvement of flood risk analysis via downscaling of hazard and vulnerability maps. Water Resour Manag 35(7):2215–2230. https://doi.org/10.1007/s11269-021-02836-0
Kalantari Z, Cavalli M, Cantone C, Crema S, Destouni G (2017) Flood probability quantification for road infrastructure: data-driven spatial-statistical approach and case study applications. Sci Total Environ. https://doi.org/10.1016/j.scitotenv.2016.12.147
McKee TB, Doesken NJ, Kleist J (1993) The relationship of drought frequency and duration to time scales. In: Eighth conference on applied climatology, vol 17. American Meteorological Society, pp 179–183
Mishra S, Kumar Singh VP (2013) Soil conservation service curve number (SCS-CN) methodology. Springer
Molina A, Govers G, Vanacker V, Poesen J, Zeelmaekers E, Cisneros F (2007) Runoff generation in a degraded Andean ecosystem: interaction of vegetation cover and land use. CATENA 71(2):357–370. https://doi.org/10.1016/j.catena.2007.04.002
Morris J, Bailey AP, Lawson CS, Leeds-Harrison PB, Alsop D, Vivash R (2008) The economic dimensions of integrating flood management and agri-environment through washland creation: a case from Somerset England. J Environ Manag 88(2):372–381. https://doi.org/10.1016/j.jenvman.2007.03.023
Mosaffaie J, Salehpour Jam A, Tabatabaei MR, Kousari MR (2021) Trend assessment of the watershed health based on DPSIR framework. Land Use Policy. https://doi.org/10.1016/j.landusepol.2020.104911
Namaalwa S, Funk A, Ajie GS, Kaggwa RC (2013) A characterization of the drivers, pressures, ecosystem functions and services of Namatala wetland Uganda. Environ Sci Policy. https://doi.org/10.1016/j.envsci.2013.01.002
Ningal T, Hartemink AE, Bregt AK (2008) Land use change and population growth in the Morobe Province of Papua New Guinea between 1975 and 2000. J Environ Manag 87(1):117–124. https://doi.org/10.1016/j.jenvman.2007.01.006
Olson K (2010) An examination of questionnaire evaluation by expert reviewers. Field Methods 22(4):295–318. https://doi.org/10.1177/1525822X10379795
Organization CM (2009) Estimation of flood damage in Lorestan province. General Department of Insurance and Damage Assessment, Khorram Abad, p 2
Plate EK (2002) Flood risk and flood management. J Hydrol 267(1–2):2–11. https://doi.org/10.1016/S0022-1694(02)00135-X
Popadić SN (2021) Flood prevention in Serbia and legal challenges in obtaining the land for flood risk management. Environ Sci Policy. https://doi.org/10.1016/j.envsci.2020.11.007
Potschin M (2009) Land use and the state of the natural environment. Land Use Policy 26:170–177
Rashvand S, Mosaffaie J (2013) Investigation of human population pressure on environment Case study: masile basin of Qazvin. Hum Environ 11(25):4155
Rehman J, Sohaib O, Asif M, Pradhan B (2019) Applying systems thinking to flood disaster management for a sustainable development. Int J Disaster Risk Reduct. https://doi.org/10.1016/j.ijdrr.2019.101101
Saaty TL (2008) Decision making with the analytic hierarchy process. Int J Serv Sci 1:83–98
Safaripour M, Rezapour Andabili N (2020) Miyandoab flood risk map** using dematel and SAW methods and DPSIR model. Adv Environ Technol 6(3):131–138. https://doi.org/10.22104/AET.2021.4766.1287
Salehpour Jam A, Mosaffaie J, Tabatabaei MR (2021a) Assessment of comprehensiveness of soil conservation measures using the DPSIR framework. Environ Monit Assess 193(1):1–19. https://doi.org/10.1007/s10661-020-08785-2
Salehpour Jam A, Mosaffaie J, Tabatabaei MR (2021b) Management responses for Chehel-Chay watershed health improvement using the DPSIR framework. J Agric Sci Technol 23(4):1–15
Samareh Hashemi M, Zare F, Bagheri A, Moridi A (2014) Flood Assessment in the context of sustainable development using the DPSIR framework. Int J Environ Prot Policy 2(2):41–49
Sharma KD (1997) Assessing the impact of overgrazing on soil erosion in arid regions at a range of spatial scales. IAHS Pub 245:119–123
Sheikh VB, Jafari Shalamzari M, Farajollahi A, Fazli P (2016) Soil erosion under simulated rainfall in loess lands with emphasis on land-use, slope and aspect. Ecopersia 4(2):1395–1409
Svarstad H, Petersen LK, Rothman D, Siepel H, Watzold F (2008) Discursive biases of the environmental research framework DPSIR. Land Use Policy 25:116–125
Swain DL, Wing OEJ, Bates PD, Done JM, Johnson KA, Cameron DR (2020) Increased flood exposure due to climate change and population growth in the United States. Earths Future. https://doi.org/10.1029/2020EF001778
Swanson FJ, Dyrness CT (1975) Impact of clear-cutting and road construction on soil erosion by landslides in the western Cascade Range Oregon. Geology 3(7):393–396. https://doi.org/10.1130/0091-7613(1975)3%3c393:IOCARC%3e2.0.CO;2
Wang W, Sun Y, Wu J (2018) Environmental warning system based on the DPSIR model: a practical and concise method for environmental assessment. Sustainability 10(6):1728. https://doi.org/10.3390/su10061728
World Meteorological Organization (1993) Drought and desertification, WMO=TD 605. WMO, Geneva, p 68
**aotao C (2006) Recent progress in flood management in China. Irrig Drain J Int Commun Irrig Drain 55(S1):S75–S82. https://doi.org/10.1002/ird.241
Zimmermann B, Elsenbeer H, De Moraes JM (2006) The influence of land-use changes on soil hydraulic properties: implications for runoff generation. Ecol Manag 222(1–3):29–38. https://doi.org/10.1016/j.foreco.2005.10.070
Acknowledgements
This article has been done in the form of a research project between the Soil Conservation and Watershed Management Research Institute and the Agricultural and Natural Resources Research Center of Lorestan Province with the number 2-59-29-04-980924. It is necessary to express our sincere gratitude for the cooperation of these centers in all stages of the project.This project was funded under the project entitled “Evaluating the solutions for flood risk management in Khorramabad watershed using DPSIR framework” NO. 2-59-29-044-980924. We would like to thank the Soil Conservation and Watershed Management Research Office for their support. The authors have no conflict of interests whatsoever.
Funding
This project was funded under the project entitled “Evaluating the solutions for flood risk management in Khorramabad watershed using DPSIR framework” NO. 2–59-29–044-980924.
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Karimi Sangchini, E., Salehpour Jam, A. & Mosaffaie, J. Flood risk management in Khorramabad watershed using the DPSIR framework. Nat Hazards 114, 3101–3121 (2022). https://doi.org/10.1007/s11069-022-05507-4
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DOI: https://doi.org/10.1007/s11069-022-05507-4