Natl Sci Open
Volume 3, Number 1, 2024
Special Topic: Climate Change Impacts and Adaptation
Article Number 20230025
Number of page(s) 25
Section Earth and Environmental Sciences
Published online 01 January 2023
  • Ruangpan L, Vojinovic Z, Di Sabatino S, et al. Nature-based solutions for hydro-meteorological risk reduction: A state-of-the-art review of the research area. Nat Hazards Earth Syst Sci 2020; 20: 243-270. [Article] [NASA ADS] [CrossRef] [Google Scholar]
  • Cohen-Shacham E, Walters G, Janzen C, et al. Nature-based solutions to address global societal challenges. Technical Report. Gland, Switzerland, 2016 [Google Scholar]
  • van den Bosch M, Ode Sang Å. Urban natural environments as nature-based solutions for improved public health: A systematic review of reviews. Environ Res 2017; 158: 373-384. [Article] [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  • Baldwin-Cantello W, Tickner D, Wright M, et al. The triple challenge: Synergies, trade-offs and integrated responses for climate, biodiversity, and human wellbeing goals. Clim Policy 2023; 23: 782-799. [Article] [NASA ADS] [CrossRef] [Google Scholar]
  • Beceiro P, Brito RS, Galvão A. Nature-based solutions for water management: Insights to assess the contribution to urban resilience. Blue-Green Syst 2022; 4: 108-134. [Article] [CrossRef] [Google Scholar]
  • Su R, Sun R. Editorial: Impact of climate change on the hydrological cycle. J Water Clim Change 2021; 12: 108-134. [Article] [Google Scholar]
  • Kundzewicz ZW. Climate change impacts on the hydrological cycle. Ecohydrol Hydrobiol 2008; 8: 195-203. [Article] [CrossRef] [Google Scholar]
  • Nika CE, Gusmaroli L, Ghafourian M, et al. Nature-based solutions as enablers of circularity in water systems: A review on assessment methodologies, tools and indicators. Water Res 2020; 183: 115988. [Article] [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  • Fletcher TD, Shuster W, Hunt WF, et al. SUDS, LID, BMPs, WSUD and more: The evolution and application of terminology surrounding urban drainage. Urban Water J 2015; 12: 525-542. [Article] [NASA ADS] [CrossRef] [Google Scholar]
  • Foster J, Lowe A, Winkelman S. The value of green infrastructure for urban climate adaptation. 2011. Available at: [Article] [Google Scholar]
  • Lloyd SD, Wong THF, Chesterfield CJ, et al. Water sensitive urban design : A stormwater management perspective. CRC for Catchment Hydrology, 2002, Available at: [Article] [Google Scholar]
  • Olsson J, Berggren K, Olofsson M, et al. Applying climate model precipitation scenarios for urban hydrological assessment: A case study in Kalmar City, Sweden. Atmos Res 2009; 92: 364-375. [Article] [NASA ADS] [CrossRef] [Google Scholar]
  • Duran-Encalada JA, Paucar-Caceres A, Bandala ER, et al. The impact of global climate change on water quantity and quality: A system dynamics approach to the US-Mexican transborder region. Eur J Oper Res 2017; 256: 567-581. [Article] [CrossRef] [Google Scholar]
  • Mackay A. Climate change 2007: Impacts, adaptation and vulnerability. Contribution of working group II to the fourth assessment report of the intergovernmental panel on climate change. J Env Qual 2008; 37: 2407. [Article] [NASA ADS] [CrossRef] [Google Scholar]
  • Shaneyfelt KM, Johnson JP, Hunt WF. Hydrologic modeling of distributed stormwater control measure retrofit and examination of impact of subcatchment discretization in PCSWMM. J Sustain Water Built Environ 2021; 7: 443-454. [Article] [CrossRef] [Google Scholar]
  • Carvalho DJ, Costa MEL, da Costa J, et al. Modelling runoff in watershed without calibration using PCSWMM. In: Mannina G, Ed. New Trends in Urban Drainage Modelling. UDM 2018. Green Energy and Technology. Cham: Springer, 2019. 525–542 [Google Scholar]
  • Bond J, Batchabani E, Fuamba M, et al. Modeling a bioretention basin and vegetated swale with a trapezoidal cross section using SWMM LID controls. J Water Manag Model 2021; [Article] [Google Scholar]
  • Jeffers S, Garner B, Hidalgo D, et al. Insights into green roof modeling using SWMM LID controls for detention-based designs. J Water Manag Model 2022; : 713-716. [Article] [Google Scholar]
  • Sakshi S, Singh A. Modeling LID using SWMM5 and MIDS credit calculator: Credit valley conservation’s Elm Drive case study. J Water Manag Model 2016; 5: e1254. [Article] [Google Scholar]
  • Chen J, Brissette FP, Leconte R. Uncertainty of downscaling method in quantifying the impact of climate change on hydrology. J Hydrol 2011; 401: 190-202. [Article] [CrossRef] [Google Scholar]
  • Keller AA, Garner KL, Rao N, et al. Downscaling approaches of climate change projections for watershed modeling: Review of theoretical and practical considerations. PLOS Water 2022; 1: e0000046 [CrossRef] [Google Scholar]
  • McNamara JP, Semenova O, Restrepo PJ. Upscaling from research watersheds: an essential stage of trustworthy general-purpose hydrologic model building. AGU Fall Meeting Abstracts. Vol. 2011. 2011, H31F-1234. Available at: [Article] [Google Scholar]
  • Ranjram M, Craig JR. Upscaling hillslope-scale subsurface flow to inform catchment-scale recession behavior. Water Resources Res 2022; 12: 1280. [Article] [Google Scholar]
  • Dewandel B, Maréchal JC, Bour O, et al. Upscaling and regionalizing hydraulic conductivity and effective porosity at watershed scale in deeply weathered crystalline aquifers. J Hydrol 2012; 416-417: 83-97. [Article] [CrossRef] [Google Scholar]
  • Picourlat F, Mouche E, Mügler C. Upscaling hydrological processes for land surface models with a two-hydrologic-variable model: Application to the little Washita watershed. Water Resources Res 2022; 58: 75-88. [Article] [NASA ADS] [CrossRef] [Google Scholar]
  • Galster JC, Pazzaglia FJ, Hargreaves BR, et al. Effects of urbanization on watershed hydrology: The scaling of discharge with drainage area. Geology 2006; 34: 713. [Article] [NASA ADS] [CrossRef] [Google Scholar]
  • Golden HE, Hoghooghi N. Green infrastructure and its catchment-scale effects: An emerging science. WIREs Water 2018; 5: e1254. [Article] [NASA ADS] [CrossRef] [Google Scholar]
  • Sun X, Li R, Shan X, et al. Assessment of climate change impacts and urban flood management schemes in central Shanghai. Int J Disaster Risk Reduction 2021; 65: 102563. [Article] [CrossRef] [Google Scholar]
  • Kaykhosravi S, Khan UT, Jadidi MA. The effect of climate change and urbanization on the demand for low impact development for three canadian cities. Water 2020; 12: 1280. [Article] [CrossRef] [Google Scholar]
  • Liu Y, Engel BA, Collingsworth PD, et al. Optimal implementation of green infrastructure practices to minimize influences of land use change and climate change on hydrology and water quality: Case study in Spy Run Creek watershed, Indiana. Sci Total Environ 2017; 601-602: 1400-1411. [Article] [CrossRef] [PubMed] [Google Scholar]
  • Abduljaleel Y, Demissie Y. Identifying cost-effective low-impact development (LID) under climate change: A multi-objective optimization approach. Water 2022; 14: 3017. [Article] [CrossRef] [Google Scholar]
  • Zhou Q, Luo J, Qin Z, et al. Conceptual planning approach of low impact developments for combined water quality-quantity control at an urban scale: A case study in Southern China. J Flood Risk Manage 2022; 15: 1400-1411. [Article] [CrossRef] [Google Scholar]
  • Kim K, Kim R, Choi J, et al. The applicability of LID facilities as an adaptation strategy of urban CSOs management for climate change. Water Supply 2022; 22: 75-88. [Article] [CrossRef] [Google Scholar]
  • Zahmatkesh Z, Burian SJ, Karamouz M, et al. Low-impact development practices to mitigate climate change effects on urban stormwater runoff: Case study of New York city. J Irrig Drain Eng 2015; 141: 04014043. [Article] [CrossRef] [Google Scholar]
  • Latifi M, Rakhshandehroo G, Nikoo MR, et al. Multi-stakeholder stochastic optimization of urban low impact developments for climate consistency under uncertainty. J Clean Prod 2023; 382: 135259. [Article] [CrossRef] [Google Scholar]
  • Wang M, Zhang DQ, Su J, et al. Assessing hydrological effects and performance of low impact development practices based on future scenarios modeling. J Clean Prod 2018; 179: 12-23. [Article] [CrossRef] [Google Scholar]
  • Wang M, Zhang D, Cheng Y, et al. Assessing performance of porous pavements and bioretention cells for stormwater management in response to probable climatic changes. J Environ Manage 2019; 243: 157-167. [Article] [CrossRef] [PubMed] [Google Scholar]
  • Yang W, Zhang J, Krebs P. Low impact development practices mitigate urban flooding and non-point pollution under climate change. J Clean Prod 2022; 347: 131320. [Article] [CrossRef] [Google Scholar]
  • Baek SS, Ligaray M, Pyo J, et al. A novel water quality module of the SWMM model for assessing low impact development (LID) in urban watersheds. J Hydrol 2020; 586: 124886. [Article] [NASA ADS] [CrossRef] [Google Scholar]
  • Lee S, Kim D, Maeng S, et al. Runoff reduction effects at installation of LID facilities under different climate change scenarios. Water 2022; 14: 1301. [Article] [CrossRef] [Google Scholar]
  • Herrera-Gomez SS, Quevedo-Nolasco A, Pérez-Urrestarazu L. The role of green roofs in climate change mitigation. A case study in Seville (Spain). Build Environ 2017; 123: 575-584. [Article] [NASA ADS] [CrossRef] [Google Scholar]
  • Ramshani M, Khojandi A, Li X, et al. Optimal planning of the joint placement of photovoltaic panels and green roofs under climate change uncertainty. Omega 2020; 90: 101986. [Article] [CrossRef] [Google Scholar]
  • Li Y, Babcock Jr. RW. Green roofs against pollution and climate change. A review. Agron Sustain Dev 2014; 34: 695-705. [Article] [CrossRef] [Google Scholar]
  • Andrew RM, Vesely ÉT. Life-cycle energy and CO2 analysis of stormwater treatment devices. Water Sci Tech 2008; 58: 985-993. [Article] [CrossRef] [PubMed] [Google Scholar]
  • Fini A, Frangi P, Mori J, et al. Nature based solutions to mitigate soil sealing in urban areas: Results from a 4-year study comparing permeable, porous, and impermeable pavements. Environ Res 2017; 156: 443-454. [Article] [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  • Talebzadeh F, Valeo C, Gupta R, et al. Exploring the Potential in LID Technologies for remediating heavy metals in carwash wastewater. Sustainability 2021; 13: 8727. [Article] [CrossRef] [Google Scholar]
  • Nazarpour S, Gnecco I, Palla A. Evaluating the effectiveness of bioretention cells for urban stormwater management: A systematic review. Water 2023; 15: 913. [Article] [CrossRef] [Google Scholar]
  • Lee J, Kim J, Lee JM, et al. Analyzing the impacts of sewer type and spatial distribution of LID facilities on urban runoff and non-point source pollution using the storm water management model (SWMM). Water 2022; 14: 2776. [Article] [CrossRef] [Google Scholar]
  • Di Vittorio D, Ahiablame L. Spatial translation and scaling up of low impact development designs in an urban watershed. J Water Manag Model 2015; 13: 8727. [Article] [Google Scholar]
  • Cao X, Lyu H, Ni G, et al. Spatial scale effect of surface routing and its parameter upscaling for urban flood simulation using a grid-based model. Water Resources Res 2020; 56: e2019WR025468. [Article] [NASA ADS] [CrossRef] [Google Scholar]
  • Ichiba A, Gires A, Tchiguirinskaia I, et al. Scale effect challenges in urban hydrology highlighted with a distributed hydrological model. Hydrol Earth Syst Sci 2018; 22: 331-350. [Article] [NASA ADS] [CrossRef] [Google Scholar]
  • Qiu Y, da Silva Rocha Paz I, Chen F, et al. Space variability impacts on hydrological responses of nature-based solutions and the resulting uncertainty: A case study of Guyancourt (France). Hydrol Earth Syst Sci 2021; 25: 3137-3162. [Article] [NASA ADS] [CrossRef] [Google Scholar]
  • You J, Chen X, Chen L, et al. A systematic bibliometric review of low impact development research articles. Water 2022; 14: 2675. [Article] [CrossRef] [Google Scholar]
  • Pyke C, Warren MP, Johnson T, et al. Assessment of low impact development for managing stormwater with changing precipitation due to climate change. Landsc Urban Plan 2011; 103: 166-173. [Article] [CrossRef] [Google Scholar]
  • Liu Y, Engel BA, Flanagan DC, et al. A review on effectiveness of best management practices in improving hydrology and water quality: Needs and opportunities. Sci Total Environ 2017; 601-602: 580-593. [Article] [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  • Zhang Z, Valeo C. Verification of PCSWMM’s LID processes and their scalability over time and space. Front Water 2022; 141: 04014043. [Article] [Google Scholar]
  • Low Impact Development Stormwater Management. Bioretention: TTT. 2022. Available at: [Article] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.