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Developing an urban runoff management model by using satellite precipitation datasets to allocate low impact development systems under climate change conditions

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Abstract

Flood control and management are becoming increasingly important to many cities due to urban development and significant changes in the natural climate pattern. The objective of this study is to evaluate the effect of climate change on hydrological conditions and runoff management for low-impact development (LID) systems in the Tehran municipality area. The tropical rainfall measuring mission (TRMM) satellite precipitation data (3B42) were first analyzed for the study area by using the eleven models recommended by the IPCC. The MIROC model was identified as the best climate model due to its best performance, in terms of R2, RMSE, and MAE for providing future precipitation data. Then, the precipitation simulated by the MIROC model was downscaled by the LARS-WG model under two scenarios, RCP 4.5 and RCP 8.5. Furthermore, runoff was calculated by the Storm Water Management Model (SWMM) for different storms. The results showed an increase in the intensity of the 25-year storm in the time horizon of 2021–2040, while the average annual precipitation showed a decrease of 30%. In this study, two LID options (permeable pavement and bio-retention cell) were selected and optimized with two objectives: (1) minimizing the produced runoff and (2) minimizing the costs of LID construction and maintenance under climate change conditions. The results indicated that the running costs increased by 30% and 55% for the scenarios of RCP 4.5 and RCP 8.5, respectively. These costs tended to prevent changes of up to 250 × 103 m3 in the first scenario and 328 × 103 m3 in the second scenario in the volume of floodwater produced under climate change conditions.

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Data availability

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Code availability

The codes that support the findings of this study are available from the corresponding author upon reasonable request.

References

  • Akbari-Alashti H, Bozorg-Haddad O, Fallah-Mehdipour E, Mariño MA (2014) Multi-reservoir real-time operation rules: a new genetic programming approach. Proc Inst Civ Eng Water Manage 167(10):561–576. https://doi.org/10.1680/wama.13.00021

    Article  Google Scholar 

  • Ashouri H, Nguyen P, Thorstensen A, Hsu KL, Sorooshian S, Braithwaite D (2016) Assessing the efficacy of high-resolution satellite-based PERSIANN-CDR precipitation product in simulating streamflow. J Hydrometeorol 17(7):2061–2076

    Article  Google Scholar 

  • Bhatt A, Bradford A, Abbassi BE (2019) Cradle-to-grave life cycle assessment (LCA) of low-impact-development (LID) technologies in southern Ontario. J Environ Manage 231:98–109

    Article  Google Scholar 

  • Binesh N, Niksokhan MH, Sarang A, Rauch W (2019) Improving sustainability of urban drainage systems for climate change adaptation using best management practices: a case study of Tehran, Iran. Hydrol Sci J 64(4):381–404

    Article  Google Scholar 

  • Bozorg-Haddad O, Moradi-Jalal M, Mirmomeni M, Kholghi MKH, Mariño MA (2009) Optimal cultivation rules in multi-crop irrigation areas. Irrig Drain 58(1):38–49. https://doi.org/10.1002/ird.381

    Article  Google Scholar 

  • Casse C, Gosset M (2015) Analysis of hydrological changes and flood increase in Niamey based on the PERSIANN-CDR satellite rainfall estimate and hydrological simulations over the 1983–2013 period. Proc Int Assoc Hydrol Sci 370:117–123

    Google Scholar 

  • Chen PY, Tung CP, Li YH (2017) Low impact development planning and adaptation decision-making under climate change for a community against pluvial flooding. Water 9(10):756

    Article  Google Scholar 

  • Da Silva C, Schardong A, Garcia J, Oliveira C (2018) Climate change impacts and flood control measures for highly developed urban watersheds. Water 10(7):829

    Article  Google Scholar 

  • Deb K, Pratap A, Agarwal S, Meyarivan TAMT (2002) A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evol Comput 6(2):182–197

    Article  Google Scholar 

  • Getirana A, Kirschbaum D, Mandarino F, Ottoni M, Khan S, Arsenault K (2020) Potential of GPM IMERG precipitation estimates to monitor natural disaster triggers in urban areas: the case of Rio de Janeiro, Brazil. Remote Sens 12(24):4095

    Article  Google Scholar 

  • Gülbaz S, Yıldırım A, Kazezyılmaz-Alhan CM (2018) A water quality-quantity model for Avcilar Campus of Istanbul University incorporating LID implementation. International Conference on Urban Drainage Modelling, 688–692

  • Hobbie SE, Grimm NB (2020) Nature-based approaches to managing climate change impacts in cities. Philos Trans R Soc B 375(1794):20190124

    Article  Google Scholar 

  • Hua P, Yang W, Qi X, Jiang S, Xie J, Gu X, ..., Krebs P (2020). Evaluating the effect of urban flooding reduction strategies in response to design rainfall and low impact development. J Clean Product 242: 118515

  • Huang Y, Chen S, Cao Q, Hong Y, Wu B, Huang M, Qiao L, Zhang Z, Li Z, Li W, Yang X (2014) Evaluation of version-7 TRMM multi-satellite precipitation analysis product during the Beijing extreme heavy rainfall event of 21 July 2012. Water 6(1):32–44

    Article  Google Scholar 

  • Huang YR, Tung CP (2015) "Development of sustainable stormwater management using simulation-optimization approach under climate change." In EGU General Assembly Conference Abstracts (vol. 17)

  • Huffman GJ, Adler RF, Bolvin DT, Nelkin EJ (2010) The TRMM multi-satellite precipitation analysis (TMPA). In Satellite rainfall applications for surface hydrology. Springer, Dordrecht, pp. 3–22

  • Huffman GJ, Bolvin DT, Nelkin EJ, Wolff DB, Adler RF, Gu G, Hong Y, Bowman KP, Stocker EF (2007) The TRMM multisatellite precipitation analysis (TMPA): Quasi-global, multiyear, combined-sensor precipitation estimates at fine scales. J Hydrometeorol 8(1):38–55

    Article  Google Scholar 

  • IPCC T (2007) Climate change: synthesis report. Contribution of working groups I, II and III to the fourth assessment report of the intergovernmental panel on climate change, 95–212

  • Jahandideh-Tehrani M, Zhang H, Helfer F, Yu Y (2019) Review of climate change impacts on predicted river streamflow in tropical rivers. Environ Monit Assess 191(12):1–23

    Article  Google Scholar 

  • Jiang Q, Li W, Wen J, Qiu C, Sun W, Fang Q, ..., Tan J (2018) Accuracy evaluation of two high-resolution satellite-based rainfall products: TRMM 3B42V7 and CMORPH in Shanghai. Water 10(1): 40

  • Jiang S, Liu S, Ren L, Yong B, Zhang L, Wang M, He Y (2017) Hydrologic evaluation of six high-resolution satellite precipitation products in capturing extreme precipitation and streamflow over a medium-sized basin in China. Water 10(1):25

    Article  Google Scholar 

  • Kim H, Jung M, Mallari KJB, Pak G, Kim S, Kim S, Yoon J (2014) Assessment of porous pavement effectiveness on runoff reduction under climate change scenarios. Desalin Water Treat 53(11):3142–3147

    Article  Google Scholar 

  • Lago CAFD, Macedo MBD, Mendiondo EM, Giacomoni MH (2018) The effects of climate change on low impact development (LID) Performance—a case of study in Sao Carlos, Brazil. International Low Impact Development Conference 2018: Getting In Tune with Green Infrastructure. American Society of Civil Engineers, Reston, pp 40–45

    Chapter  Google Scholar 

  • Li Q, Wang F, Yu Y, Huang Z, Li M, Guan Y (2019a) Comprehensive performance evaluation of LID practices for the sponge city construction: a case study in Guangxi, China. J Environ Manage 231:10–20

    Article  Google Scholar 

  • Li W, He X, Sun W, Scaioni M, Yao D, Fu J, ..., Cheng G (2019) Evaluating three satellite-based precipitation products of different spatial resolutions in Shanghai based on upscaling of rain gauge. Int J Remote Sens 40(15): 5875-5891

  • Liu Y, Theller LO, Pijanowski BC, Engel BA (2016) Optimal selection and placement of green infrastructure to reduce impacts of land-use change and climate change on hydrology and water quality: an application to the Trail Creek Watershed, Indiana. Sci Total Environ 553:149–163

    Article  Google Scholar 

  • Lu X, Tang G, Wei M, Yang L, Zhang Y (2018) Evaluation of multi-satellite precipitation products in Xinjiang, China. Int J Remote Sens 39(21):7437–7462

    Article  Google Scholar 

  • Luan Q, Fu X, Song C, Wang H, Liu J, Wang Y (2017) Runoff effect evaluation of LID through SWMM in typical mountainous, low-lying urban areas: a case study in China. Water 9(6):439

    Article  Google Scholar 

  • Lynn TJ, Nachabe MH, Ergas SJ (2018) SWMM5 unsaturated drainage models for stormwater biofiltration with an internal water storage zone. J Sustain Water Built Environ 4(1):04017018

    Article  Google Scholar 

  • Mahab Q, Pöyri (2010) Tehran surface water master plan in 2010. Report for Municipality of Tehran, Iran

  • MahabGhods Consulting Engineering Company (2011) Tehran stormwater management master plan. A second volume, Basic studies, Tehran, Iran, pp. 232–241 (In Persian)

  • Mani M, Bozorg-Haddad O, Loáiciga HA (2019) A new framework for the optimal management of urban runoff with low-impact development stormwater control measures considering service-performance reduction. J Hydroinf 21(5):727–744

    Article  Google Scholar 

  • Noori H, Farzin S, Karami H (2018) Performance development of modern methods using multi-objective optimization in urban runoff control. Iran-Water Resour Res 14(3):57–70 (In Persian)

  • Pachauri RK, Allen MR, Barros VR, Broome J, Cramer W, Christ R, Church JA, Clarke L, Dahe Q, Dasgupta P, Dubash NK (2014) Climate change: synthesis report. Contribution of Working Groups I, II and III to the fifth assessment report of the Intergovernmental Panel on Climate Change (p. 151). Ipcc

  • Palla A, Gnecco I (2015) Hydrologic modeling of low impact development systems at the urban catchment scale. J Hydrol 528:361–368

    Article  Google Scholar 

  • Pour SH, Abd Wahab AK, Shahid S, Dewan A (2020) Low impact development techniques to mitigate the impacts of climate-change-induced urban floods: current trends, issues and challenges. Sustain Cities Soc 62:102373

  • Rossman LA (2010) Storm water management model user's manual, version 5.0 (p. 276). Cincinnati: National Risk Management Research Laboratory, Office of Research and Development, US Environmental Protection Agency

  • Saadatpour M, Delkhosh F, Afshar A, Solis SS (2020) Developing a simulation-optimization approach to allocate low impact development practices for managing hydrological alterations in urban watershed. Sustain Cities Soc 61:102334

    Article  Google Scholar 

  • Sebti A, Fuamba M, Bennis S (2016) Improving nonlinear optimization algorithms for BMP implementation in a combined sewer system. J Water Resour Plan Manag 142(9):04016030

    Article  Google Scholar 

  • Semenov MA, Barrow EM (2007) LARS WG A stochastic weather generator for use in climate impact studies, User Manual

  • Semenov MA, Stratonovitch P (2010) The use of multi-model ensembles from global climate models for impact assessments of climate change. Climate Res 41:1–14

    Article  Google Scholar 

  • Simpson MG, Roesner LA (2018) Hydrologic modeling and capital cost analysis of low-impact development. J Sustain Water Built Environ 4(2):05018003

    Article  Google Scholar 

  • Taylor KE, Stouffer RJ, Meehl GA (2012) An overview of CMIP5 and the experiment design. Bull Am Meteor Soc 93(4):485–498

    Article  Google Scholar 

  • Tian Y, Huffman GJ, Adler RF, Tang L, Sapiano M, Maggioni V, Wu H (2013) Modeling errors in daily precipitation measurements: additive or multiplicative? Geophys Res Lett 40(10):2060–2065

    Article  Google Scholar 

  • University of Tehran-Graduate Faculty of Environment (2015) Application of SWMM in the collection and disposal of urban floods (Case Study: District 6 of Tehran Municipality). Tehran, Iran, 1–78 (In Persian)

  • Van Vuuren DP, Edmonds J, Kainuma M, Riahi K, Thomson A, Hibbard K et al (2011) The representative concentration pathways: an overview. Clim Change 109(1):5–31

    Article  Google Scholar 

  • Wang M, Zhang D, Cheng Y, Tan SK (2019) Assessing performance of porous pavements and bioretention cells for stormwater management in response to probable climatic changes. J Environ Manage 243:157–167

    Article  Google Scholar 

  • Wilby RL, Harris I (2006) A framework for assessing uncertainties in climate change impacts: low‐flow scenarios for the River Thames, UK. Water Resour Res 42(2)

  • Xu T, Jia H, Wang Z, Mao X, Xu C (2017) SWMM-based methodology for block-scale LID-BMPs planning based on site-scale multi-objective optimization: a case study in Tianjin. Front Environ Sci Eng 11(4):1

    Article  Google Scholar 

  • You L, Xu T, Mao X, Jia H (2019) Site-scale LID-BMPs planning and optimization in residential areas. J Sustain Water Built Environ 5(1):05018004

    Article  Google Scholar 

  • Zanandrea F, Silveira ALLD (2018) Effects of LID implementation on hydrological processes in an urban catchment under consolidation in Brazil. J Environ Eng 144(9):04018072

    Article  Google Scholar 

  • Zhang Y, Li Y, Ji X, Luo X, Li X (2018) Fine-resolution precipitation mapping in a mountainous watershed: geostatistical downscaling of TRMM products based on environmental variables. Remote Sens 10(1):119

    Article  Google Scholar 

  • Zhang J, Zhang Y, Sun SJ, Zhang WW, Zhang SH (2019) Analysis of the effect of low impact development on urban runoff control based on the SWMM model. J Coastal Res 96(sp1):62–67

    Article  Google Scholar 

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Acknowledgements

The authors thank Iran’s National Science Foundation (INSF) for its support for this research.

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Authors and Affiliations

  1. Department of Irrigation & Reclamation Engineering, Faculty of Agricultural Engineering & Technology, College of Agriculture & Natural Resources, University of Tehran, Tehran, Iran

    Arman Oliazadeh & Omid Bozorg-Haddad

  2. Department of Civil and Environmental Engineering, Louisiana State University, Patrick F. Taylor Hall, Baton Rouge, LA, 70803-6405, USA

    Melika Mani

  3. Department of Civil & Environmental Engineering, North Dakota State University, Dept 2470, Fargo, ND, 58108-6050, USA

    Xuefeng Chu

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  1. Arman Oliazadeh
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Contributions

Arman Oliazadeh; software, formal analysis, writing—original draft

Omid Bozorg-Haddad; conceptualization, supervision, project administration

Melika Mani; software, formal analysis, writing—original draft

Xuefeng Chu Hugo; validation, writing—review and editing

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Correspondence to Omid Bozorg-Haddad.

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Oliazadeh, A., Bozorg-Haddad, O., Mani, M. et al. Developing an urban runoff management model by using satellite precipitation datasets to allocate low impact development systems under climate change conditions. Theor Appl Climatol 146, 675–687 (2021). https://doi.org/10.1007/s00704-021-03744-4

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