Climate responsive design for road surface drainage systems: a case study for city of Bengaluru

References

• Agilan, V., and N. V. Umamahesh. 2017. “What are the Best Covariates for Developing Non-Stationary Rainfall Intensity-Duration-Frequency Relationship?” Advances in Water Resources 101 (March): 11–22. https://doi.org/10.1016/j.advwatres.2016.12.016.
   Google Scholar
• Almeida Isabel, Kaufmann, Kaufmann Almeida Aleska, Garcia Gabas Sandra, and Alves Sobrinho Teodorico. 2017. “Performance of Methods for Estimating the Time of Concentration in a Watershed of a Tropical Region.” Hydrological Sciences Journal 62 (14): 2406–2414. https://doi.org/10.1080/02626667.2017.1384549.
   Web of Science ®Google Scholar
• Austroads. 2015. Guide to Road Design Part 1: Introduction to Road Design. Australia: Austroads.
   Google Scholar
• Austroads. 2018. Guide to Road Design Part 5A: Drainage- Road Surface, Networks, Basins and Subsurface. Australia: Austroads.
   Google Scholar
• Babu, Ram, K. K. Tejwani, M. C. Agarwal, and L. S. Bhushan. 1979. Rainfall Intensity Duration Return Period Equation and Nomographs of India. India: Central Soil and Water Conservation & Training Institute (CSWCRITI), Dehradun.
   Google Scholar
• Bader, David, Curt Covey, William Gutowski, Isaac Held, Kenneth Kunkel, Ronald Miller, Robin Tokmakian, and Minghua Zhang. 2008. “Climate Models: An Assessment of Strengths and Limitations.” US Department of Energy Publications. https://digitalcommons.unl.edu/usdoepub/8.
   Google Scholar
• Barbero, G., P. Costabile, C. Costanzo, D. Ferraro, and G. Petaccia. 2022. “2D Hydrodynamic Approach Supporting Evaluations of Hydrological Response in Small Watersheds: Implications for Lag Time Estimation.” Canadian Journal of Fisheries and Aquatic Sciences 610:127870. https://doi.org/10.1016/j.jhydrol.2022.127870.
   Google Scholar
• Basim, Kn, Waqed H Hassan, and Ghufran Alshammaa. 2019. “Analysis of the Effect of Climate Change on Rainfall Intensity and Expected Flooding by Using ANN and SWMM Programs.” ARPN Journal of Engineering & Applied Sciences 14 (March): 974–984.
   Google Scholar
• CD 521. 2020. Hydraulic Design of Road Edge Surface Water Channels and Outlets. Accessed July 1. https://www.standardsforhighways.co.uk/dmrb/search/040d234a-e995-4776-a269-9dafef538237.
   Google Scholar
• Chin, David A. 2019. “Estimating Peak Runoff Rates Using the Rational Method.” Journal of Irrigation and Drainage Engineering. Vol. 145, 6. American Society of Civil Engineers (ASCE). https://doi.org/10.1061/(ASCE)IR.1943-4774.0001387.
   Google Scholar
• de Carvalho, Juliana Landolfi, Iensen Isabela Raquel Ramos, and Irani dos Santos. 2021. “Resilience of Hydrologic Similarity Areas to Extreme Climate Change Scenarios in an Urban Watershed.” Urban Water Journal 18 (10): 817–828. https://doi.org/10.1080/1573062X.2021.1941136.
   Web of Science ®Google Scholar
• Deshpande, N. R., A. Kulkarni, and K. Krishna Kumar. 2012. “Characteristic Features of Hourly Rainfall in India.” International Journal of Climatology 32 (11): 1730–1744. https://doi.org/10.1002/joc.2375.
   Web of Science ®Google Scholar
• Drainage Services Department. 2000. Stormwater Drainage Manual-Planning, Design and Management. Wanchai, Hong Kong: Drainage Services Department Hong Kong.
   Google Scholar
• FHWA-NHI. 2013. Urban Design Drainage Manual. Circular No 22, Third.
   Google Scholar
• Froehlich, D. C. 2010. “‘Short-Duration Rainfall Intensity Equations for Urban Drainage Design.” ’ Journal of Irrigation and Drainage Engineering 136 (8): 519–526. https://doi.org/10.1061/(ASCE)IR.1943-4774.0000250.
   Web of Science ®Google Scholar
• Giovanni, Ravazzani, Boscarello Laura, Cislaghi Alessio, and Mancini Marco. 2019. “Review of Time-Of-Concentration Equations and a New Proposal in Italy.” In Journal of Hydrologic Engineering. Vol. 24, 10, p. 04019039. American Society of Civil Engineers. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001818.
   Google Scholar
• Gorelick, Noel, Matt Hancher, Mike Dixon, Simon Ilyushchenko, David Thau, and Rebecca Moore. 2017. “Google Earth Engine: Planetary-Scale Geospatial Analysis for Everyone.” Remote Sensing of Environment 202:18–27. https://doi.org/10.1016/j.rse.2017.06.031.
   Web of Science ®Google Scholar
• Grimaldi, S., and A. Petroselli. 2015. “Do We Still Need the Rational Formula? An Alternative Empirical Procedure for Peak Discharge Estimation in Small and Ungauged Basins.” Hydrological Sciences Journal 60 (1): 67–77. https://doi.org/10.1080/02626667.2014.880546.
   Web of Science ®Google Scholar
• Hassan, Waqed H., and Basim K. Nile. 2021. “Climate Change and Predicting Future Temperature in Iraq Using CanEsm2 and HadCm3 Modeling.” Modelling Earth Systems and Environment 7 (2): 737–748. https://doi.org/10.1007/s40808-020-01034-y.
   Web of Science ®Google Scholar
• Huffman, G. J., E. F. Stocker, D. T. Bolvin, E. J. Nelkin, and J. Tan. 2019. “GPM IMERG Final Precipitation L3 Half Hourly 0.1 Degree X 0.1 Degree V06.” Greenbelt, MD, Goddard Earth Sciences Data and Information Services Center (GES DISC). https://doi.org/10.5067/GPM/IMERG/3B-HH-L/06.
   Google Scholar
• Industry (FICCI), Federation of India Chambers of Commerce &. 2019. ‘Paving Future Roads for India’.
   Google Scholar
• IRC SP:42. 2014. Guidelines for Urban Drainage SP-42. R K Puram, New Delhi: Indian Road Congress.
   Google Scholar
• IRC SP:50. 2015. Guidelines for Urban Drainage SP-50. R K Puram, New Delhi: Indian Road Congress.
   Google Scholar
• Kane, Malal. 2021. “Road Safety: First Step of an Algorithm to Identify the Potential Water Ponding on Routes.” Measurement 174:108980. https://doi.org/10.1016/j.measurement.2021.108980.
   Web of Science ®Google Scholar
• Karami, Mozhgan, Kourosh Behzadian, Abdollah Ardeshir, Azadeh Hosseinzadeh, and Zoran Kapelan. 2022. “A Multi-Criteria Risk-Based Approach for Optimal Planning of SuDs Solutions in Urban Flood Management.” August in Urban Water Journal, pp. 1–14. Taylor & Francis. https://doi.org/10.1080/1573062X.2022.2117632.
   Google Scholar
• Kodippily, Sachi, John Yeaman, Theunis Henning, and Susan Tighe. 2020. “Effects of Extreme Climatic Conditions on Pavement Response.” In Road Materials and Pavement Design. Vol. 21, 5, pp. 1413–1425. Taylor & Francis. 10.1080/14680629.2018.1552620.
   Google Scholar
• Kothyari Umesh, C., and J. Garde Ramchandra. 1992. “Rainfall Intensity‐Duration‐Frequency Formula for India.” In Journal of Hydraulic Engineering. Vol. 118, 2, pp. 323–336. American Society of Civil Engineers. https://doi.org/10.1061/(ASCE)0733-9429(1992)118:2(323).
   Google Scholar
• Kourtis, Ioannis M., and Vassilios A. Tsihrintzis. 2022. “Update of Intensity-Duration-Frequency (IDF) Curves Under Climate Change: A Review.” Water Supply 22 (5): 4951–4974. https://doi.org/10.2166/ws.2022.152.
   Google Scholar
• Mandić, Vladimir, Miloš Šešlija, Slobodan Kolaković, Srđan Kolaković, Goran Jeftenić, and Slaviša Trajković. 2021. “Mountain Road-Culvert Maintenance Algorithm.” Water 13 (4). https://doi.org/10.3390/w13040471.
   Web of Science ®Google Scholar
• Manual on Sewerage and Sewage Treatment Systems - 2013: Central Public Health & Environmental Engineering Organisation (CPHEEO). ’Government of India’. 2013. http://cpheeo.gov.in/cms/manual-on-sewerage-and-sewage-treatment.php.
   Google Scholar
• McCuen Richard, H., L. Wong Stanley, and J. Rawls Walter. 1984. “Estimating Urban Time of Concentration.” In Journal of Hydraulic Engineering. Vol. 110, 7, pp. 887–904. American Society of Civil Engineers. https://doi.org/10.1061/(ASCE)0733-9429(1984)110:7(887).
   Google Scholar
• “MIKE” Program documentation. DHI, 2017. https://manuals.mikepoweredbydhi.help/latest/Water_Resources/MIKE_SHE_Print.pdf.
   Google Scholar
• Mohammadiun, S., J. Yazdi, J. Hager, S. A. A. Salehi Neyshabouri, R. Sadiq, K. Hewage, and A. Alavi Gharahbagh. 2020. “Effects of Bottleneck Blockage on the Resilience of an Urban Stormwater Drainage System.” Hydrological Sciences Journal, Vol. 65, 2, pp. 281–295. Taylor & Francis. https://doi.org/10.1080/02626667.2019.1690657
   Google Scholar
• Mondal, Arpita, and P. P. Mujumdar. 2015. “Modeling Non-Stationarity in Intensity, Duration and Frequency of Extreme Rainfall Over India.” Canadian Journal of Fisheries and Aquatic Sciences 521 (February): 217–231. https://doi.org/10.1016/j.jhydrol.2014.11.071.
   Google Scholar
• Moss, Richard H., Jae A. Edmonds, Kathy A. Hibbard, Martin R. Manning, Steven K. Rose, Detlef P. van Vuuren, Timothy R. Carter, et al. 2010. “The Next Generation of Scenarios for Climate Change Research and Assessment.” Nature 463 (7282): 747–756. https://doi.org/10.1038/nature08823.
   PubMed Web of Science ®Google Scholar
• “MOUSE.” Program Documentation. DHI, 2017. https://manuals.mikepoweredbydhi.help/2017/Cities/MOUSERunoffReference.pdf.
   Google Scholar
• NASA, J. P. L. 2013. NASA Shuttle Radar Topography Mission Global 1 Arc Second. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MEASURES/SRTM/SRTMGL1.003.
   Google Scholar
• ‘National Engineering Handbook, Part 630 Hydrology’. 2004. USDA.
   Google Scholar
• NHCRP. 2020. Applying Climate Change Information to Hydrologic and Coastal Design of Transportation Infrastructure, p. 15–61. NW, Washington D.C.: Publication NCHRP Project.
   Google Scholar
• O’Callaghan, John F., and David M. Mark. 1984. “The Extraction of Drainage Networks from Digital Elevation Data.” Computer Vision, Graphics and Image Processing 28 (3): 323–344. https://doi.org/10.1016/S0734-189X(84)80011-0.
   Google Scholar
• Olsson, J. 1998. “Evaluation of a Scaling Cascade Model for Temporal Rain- Fall Disaggregation.” Hydrology and Earth System Sciences 2 (1): 19–30. https://doi.org/10.5194/hess-2-19-1998.
   Web of Science ®Google Scholar
• Ortiz, Alejandro, Maria José Velasco, Oscar Esbri, Vicente Medina, and Beniamino Russo. 2021. “The Economic Impact of Climate Change on Urban Drainage Master Planning in Barcelona.” Sustainability 13 (1): 71. https://doi.org/10.3390/su13010071.
   Web of Science ®Google Scholar
• Osheen, Mitthan Lal Kansal, and Deepak Singh Bisht. 2022 . “Evaluation of an Urban Drainage System Using Functional and Structural Resilience Approach.” Urban Water Journal, March. 1–19. https://doi.org/10.1080/1573062X.2022.2044495.
   Web of Science ®Google Scholar
• Pai, D. S., M. R. Badwaik Latha Sridhar, and M. Rajeevan. 2015. “Analysis of the Daily Rainfall Events Over India Using a New Long Period (1901–2010) High Resolution (0.25° × 0.25°) Gridded Rainfall Data Set.” Climate Dynamics 45 (3): 755–776. https://doi.org/10.1007/s00382-014-2307-1.
   Web of Science ®Google Scholar
• Patrick, W. 2012a. Random Cascade Model Analysis. IWA Publishing. https://www.iwapublishing.com/news/supplement-impacts-climate-change-rainfall-extremes-and-urban-drainage-systems.
   Google Scholar
• Patrick, W. 2012b. Random Cascade Model Disaggregation.M. IWA Publishing. https://www.iwapublishing.com/news/supplement-impacts-climate-change-rainfall-extremes-and-urban-drainage-systems.
   Google Scholar
• Pazwash, Hormoz. 2016. Hydrologic Calculations. Routledge Handbooks Online. https://doi.org/10.1201/b19658-4.
   Google Scholar
• Public Utilities Board. 2000. “Code of Practice on Surface Water Drainage. Drainage Department Singapore.” https://www.pub.gov.sg/compliance/industry/codeofpractice.
   Google Scholar
• Ramaseshan, S. 1996. “Urban Hydrology in Different Climatic Conditions.” In Lectur Notes of the International Course on Urban Drainage in Developing Countries. Regional Engineering College. Warangal, India: REC Warangal.
   Google Scholar
• Randall D. A., R. A. Wood, S. Bony, R. Colman, T. Fichefet, J. Fyfe, V. Kattsov, A. Pitman, J. Shukla, J. Srinivasan, A. Sumi, et al. 2007. “Climate Models and Their Evaluation.” In Climate Change 2007: The Physical Science Basis, 591. Cambridge, United Kingdom and New York, USA: Cambridge University Press. https://www.ipcc.ch/report/ar4/wg1/climate-models-and-their-evaluation/.
   Google Scholar
• Sahany, Sandeep, Saroj Kanta Mishra, and Popat Salunke. 2019. “‘Historical Simulations and Climate Change Projections Over India by NCAR CCSM4: CMIP5 Vs.” NEX-GDDP’ Theoretical and Applied Climatology 135 (3): 1423–1433. https://doi.org/10.1007/s00704-018-2455-z.
   Web of Science ®Google Scholar
• Sarojini Beena, Balan, Peter A Stott, Emily Black, and Debbie Polson. 2012. “Fingerprints of Changes in Annual and Seasonal Precipitation from CMIP5 Models Over Land and Ocean.” Geophysical Research Letters 39 (21): 21. https://doi.org/10.1029/2012GL053373.
   Google Scholar
• Schweikert, Amy, Paul Chinowsky, Xavier Espinet, and Michael Tarbert. 2014. “Climate Change and Infrastructure Impacts: Comparing the Impact on Roads in Ten Countries Through 2100.” Procedia Engineering 78:306–316. https://doi.org/10.1016/j.proeng.2014.07.072.
   Google Scholar
• Taylor, Karl E., Ronald J. Stouffer, and Gerald A. Meehl. 2012. “An Overview of CMIP5 and the Experiment Design”. Bulletin of the American Meteorological SocietyVol. 93. Boston MA, USA: American Meteorological Societypp. 485–498. 4. https://doi.org/10.1175/BAMS-D-11-00094.1.
   Google Scholar
• Thrasher, B., E. P. Maurer, C. McKellar, and P. B. Duffy. 2012. “Technical Note: Bias Correcting Climate Model Simulated Daily Temperature Extremes with Quantile Mapping.” Hydrology and Earth System Sciences 16 (9): 3309–3314. https://doi.org/10.5194/hess-16-3309-2012.
   Web of Science ®Google Scholar
• Vajjarapu, Harsha, Ashish Verma, and Hemanthini Allirani. 2020. “Evaluating Climate Change Adaptation Policies for Urban Transportation in India.” International Journal of Disaster Risk Reduction 47:101528. https://doi.org/10.1016/j.ijdrr.2020.101528.
   Web of Science ®Google Scholar
• Vinnarasi, R., and C. T. Dhanya. 2016. “Changing Characteristics of Extreme Wet and Dry Spells of Indian Monsoon Rainfall.” In Journal of Geophysical Research: Atmospheres. Vol. 121, 5, pp. 2146–2160. John Wiley & Sons, Ltd. https://doi.org/10.1002/2015JD024310.
   Google Scholar
• Wang, Tianni, Zhuohua Qu, Zaili Yang, Timothy Nichol, Geoff Clarke, and Ying-En Ge. 2020. “Climate Change Research on Transportation Systems: Climate Risks, Adaptation and Planning.” Transportation Research, Part D: Transport & Environment 88:102553. https://doi.org/10.1016/j.trd.2020.102553.
   Web of Science ®Google Scholar
• Wu, S. J., K. C. Yeh, C. H. Ho, and S. H. Yang. 2016. “Modeling Probabilistic Lag Time Equation in a Watershed Based on Uncertainties in Rainfall, Hydraulic and Geographical Factors.” Hydrology Research 47 (6): 1116–1141. https://doi.org/10.2166/nh.2016.134.
   Web of Science ®Google Scholar
• Zahmatkesh, Zahra, Karamouz Mohammad, Goharian Erfan, and Burian Steven J. 2015. “‘Analysis of the Effects of Climate Change on Urban Storm Water Runoff Using Statistically Downscaled Precipitation Data and a Change Factor Approach’.” Journal of Hydrologic Engineering 20 (7): 05014022. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001064.
   Web of Science ®Google Scholar
• Zope, P. E., T. I. Eldho, V. Jothiprakash, and Others. 2016. “Development of Rainfall Intensity Duration Frequency Curves for Mumbai City, India”. Journal of Water Resource and Protection Vol. 8. 07 Scientific Research Publishing:p. 756. https://doi.org/10.4236/jwarp.2016.87061
   Google Scholar