Approaches to Multi-Objective Optimization and Assessment of Green Infrastructure and Their Multi-Functional Effectiveness: A Review

Green infrastructure (GI) is a contemporary area of research worldwide, with the implementation of the findings alleviating issues globally. As a supplement and alternative to gray infrastructure, GI has multiple integrated benefits. Multi-objective GI optimization seeks to provide maximum integrated benefits. The purpose of this review is to highlight the integrated multifunctional effectiveness of GI and to summarize its multi-objective optimization methodology. Here, the multifunctional effectiveness of GI in hydrology, energy, climate, environment, ecology, and humanities as well as their interrelationships are summarized. Then, the main components of GI multi-objective optimization including the spatial scale application, optimization objectives, decision variables, optimization methods and optimization procedure as well as their relationships and mathematical representation are examined. However, certain challenges still exist. There is no consensus on how to measure and optimize the integrated multi-functional effectiveness of GI. Future research directions such as enhancing integrated multi-objective assessment and optimization, improving life cycle analysis and life cycle cost, integrating benefits of GI based on future uncertainties and developing integrated green–gray infrastructure are discussed. This is vital for improving its integrated multifunctional effectiveness and the final decision-making of stakeholders.

[1]  Wolfgang Nowak,et al.  Hybrid green-blue-gray decentralized urban drainage systems design, a simulation-optimization framework. , 2019, Journal of environmental management.

[2]  Seyed Hamed Ghodsi,et al.  Optimal design of low impact development practices in response to climate change , 2020 .

[3]  B. J. C Perera,et al.  Multi Criteria Decision Making in Selecting Stormwater Management Green Infrastructure for Industrial areas Part 2: A Case Study with TOPSIS , 2018, Water Resources Management.

[4]  A. Zhu,et al.  Effects of Different Spatial Configuration Units for the Spatial Optimization of Watershed Best Management Practice Scenarios , 2019, Water.

[5]  Peter H. Verburg,et al.  Mapping recreation and aesthetic value of ecosystems in the Bilbao Metropolitan Greenbelt (northern Spain) to support landscape planning , 2013, Landscape Ecology.

[6]  R. Naidu,et al.  Urban stormwater quality and treatment , 2010 .

[7]  Darryl J. Newport,et al.  Renaturing cities using a regionally-focused biodiversity-led multifunctional benefits approach to urban green infrastructure , 2016 .

[8]  Tang Tang,et al.  Benefits of coupled green and grey infrastructure systems: Evidence based on analytic hierarchy process and life cycle costing , 2019 .

[9]  K. Horwood Green infrastructure: reconciling urban green space and regional economic development: lessons learnt from experience in England's north-west region , 2011 .

[10]  R. Winston,et al.  Comparison of Runoff Quality and Quantity from a Commercial Low-Impact and Conventional Development in Raleigh, North Carolina , 2015 .

[11]  Majid Montaseri,et al.  Development of Simulation-Optimization Model (MUSIC-GA) for Urban Stormwater Management , 2015, Water Resources Management.

[12]  Sara Meerow,et al.  Spatial planning for multifunctional green infrastructure: Growing resilience in Detroit , 2017 .

[13]  Xiao-yan Tang,et al.  Evaluating Green Stormwater Infrastructure strategies efficiencies in a rapidly urbanizing catchment using SWMM-based TOPSIS , 2019, Journal of Cleaner Production.

[14]  Peter Steen Mikkelsen,et al.  SUDS, LID, BMPs, WSUD and more – The evolution and application of terminology surrounding urban drainage , 2015 .

[15]  L. Oudin,et al.  Hydrological impacts of urbanization at the catchment scale , 2018 .

[16]  Holger R. Maier,et al.  Many-objective portfolio optimization approach for stormwater management project selection encouraging decision maker buy-in , 2019, Environ. Model. Softw..

[17]  W. Rauch,et al.  Greenhouse gas emissions from integrated urban drainage systems: where do we stand? , 2018 .

[18]  K. Laffan,et al.  A greener urban environment: Designing green infrastructure interventions to promote citizens’ subjective wellbeing , 2019, Landscape and Urban Planning.

[19]  Guangtao Fu,et al.  Reliable, Resilient and Sustainable Urban Drainage Systems: An Analysis of Robustness under Deep Uncertainty. , 2018, Environmental science & technology.

[20]  Zhenduo Zhu,et al.  A participatory approach based on stochastic optimization for the spatial allocation of Sustainable Urban Drainage Systems for rainwater harvesting , 2020, Environ. Model. Softw..

[21]  Siyu Zeng,et al.  Enhancing future resilience in urban drainage system: Green versus grey infrastructure. , 2017, Water research.

[22]  S. Nazif,et al.  Determining the robust optimal set of BMPs for urban runoff management in data-poor catchments , 2018 .

[23]  Zhongbo Yu,et al.  Opportunities and challenges of the Sponge City construction related to urban water issues in China , 2017, Science China Earth Sciences.

[24]  Yan Wang,et al.  Capturing residents' values for urban green space: mapping, analysis and guidance for practice. , 2017 .

[25]  C. Raymond,et al.  A Framework to Assess Where and How Children Connect to Nature , 2018, Front. Psychol..

[26]  Holger R. Maier,et al.  A multi-stakeholder portfolio optimization framework applied to stormwater best management practice (BMP) selection , 2017, Environ. Model. Softw..

[27]  Yang Yang,et al.  Optimizing surface and contributing areas of bioretention cells for stormwater runoff quality and quantity management. , 2018, Journal of environmental management.

[28]  Matvey Arye,et al.  Rapid assessment of the cost-effectiveness of low impact development for CSO control , 2007 .

[29]  M. Ruckelshaus,et al.  Evaluating the Benefits of Green Infrastructure for Coastal Areas: Location, Location, Location , 2016 .

[30]  Mark T. Brown,et al.  A model examining hierarchical wetland networks for watershed stormwater management , 2007 .

[31]  Brett F. Sanders,et al.  A framework for the case-specific assessment of Green Infrastructure in mitigating urban flood hazards , 2017 .

[32]  Zheng Wang,et al.  SWMM-based methodology for block-scale LID-BMPs planning based on site-scale multi-objective optimization: a case study in Tianjin , 2017, Frontiers of Environmental Science & Engineering.

[33]  Zhongming Lu,et al.  Environmental performances and energy efficiencies of various urban green infrastructures: A life-cycle assessment , 2020 .

[34]  S. Kanae,et al.  Global flood risk under climate change , 2013 .

[35]  John Riverson,et al.  A watershed-scale design optimization model for stormwater best management practices , 2012, Environ. Model. Softw..

[36]  Avi Ostfeld,et al.  Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions , 2014, Environ. Model. Softw..

[37]  D. Sample,et al.  A multiobjective simulation-optimization tool for assisting in urban watershed restoration planning , 2019, Journal of Cleaner Production.

[38]  T. Matthews,et al.  Cultivating climate justice: green infrastructure and suburban disadvantage in Australia , 2017 .

[39]  Zahra Zahmatkesh,et al.  A multi-stakeholder framework for urban runoff quality management: Application of social choice and bargaining techniques. , 2016, The Science of the total environment.

[40]  Varuni Jayasooriya,et al.  Tools for Modeling of Stormwater Management and Economics of Green Infrastructure Practices: a Review , 2014, Water, Air, & Soil Pollution.

[41]  Daniel Kaiser,et al.  Increasing Evapotranspiration on Extensive Green Roofs by Changing Substrate Depths, Construction, and Additional Irrigation , 2019, Buildings.

[42]  Mingming Wang,et al.  Optimization of storage tank locations in an urban stormwater drainage system using a two-stage approach. , 2017, Journal of environmental management.

[43]  Guido Van Huylenbroeck,et al.  The use of economic valuation to create public support for green infrastructure investments in urban areas , 2011 .

[44]  Andrew N. Sharpley,et al.  A coupled model system to optimize the best management practices for nonpoint source pollution control , 2019, Journal of Cleaner Production.

[45]  Joong Gwang Lee,et al.  Determining the Optimal BMP Arrangement under Current and Future Climate Regimes: Case Study , 2017 .

[46]  A. Sharpley,et al.  BMP Optimization to Improve the Economic Viability of Farms in the Upper Watershed of Miyun Reservoir, Beijing, China , 2017 .

[47]  S. Muthukumaran,et al.  Optimal Sizing of Green Infrastructure Treatment Trains for Stormwater Management , 2016, Water Resources Management.

[48]  Sabrina Spatari,et al.  Using Life Cycle Assessment to Evaluate Green and Grey Combined Sewer Overflow Control Strategies , 2012 .

[49]  H. Jia,et al.  Assessing the ecological benefits of aggregate LID-BMPs through modelling , 2017 .

[50]  Deyong Yu,et al.  Ecological restoration planning based on connectivity in an urban area , 2012 .

[51]  X. Fang,et al.  Improvement effect of rainfall source control facilities on urban drainage capacity in different regions of China , 2019 .

[52]  Benjamin F. Hobbs,et al.  How can learning-by-doing improve decisions in stormwater management? A Bayesian-based optimization model for planning urban green infrastructure investments , 2019, Environ. Model. Softw..

[53]  Haifeng Jia,et al.  Marginal-cost-based greedy strategy (MCGS): Fast and reliable optimization of low impact development (LID) layout. , 2018, The Science of the total environment.

[54]  Warren E. Walker,et al.  Comparing Robust Decision-Making and Dynamic Adaptive Policy Pathways for model-based decision support under deep uncertainty , 2016, Environ. Model. Softw..

[55]  Bernard A Engel,et al.  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. , 2016, The Science of the total environment.

[56]  Massoud Tabesh,et al.  Optimal Design of Stormwater Collection Networks Considering Hydraulic Performance and BMPs , 2018, International Journal of Environmental Research.

[57]  Holger R. Maier,et al.  Integrated Approach for Optimizing the Design of Aquifer Storage and Recovery Stormwater Harvesting Schemes Accounting for Externalities and Climate Change , 2016 .

[58]  Ke Li,et al.  Optimal adaptation pathway for sustainable low impact development planning under deep uncertainty of climate change: A greedy strategy. , 2019, Journal of environmental management.

[59]  Weiping Chen,et al.  Assessing the effectiveness of green infrastructures on urban flooding reduction: A community scale study , 2014 .

[60]  F. Montalto,et al.  Life cycle implications of urban green infrastructure. , 2011, Environmental pollution.

[61]  Saad Bennis,et al.  Optimization Model for BMP Selection and Placement in a Combined Sewer , 2016 .

[62]  KullerMartijn,et al.  Framing water sensitive urban design as part of the urban form , 2017 .

[63]  Guoyuan Wei,et al.  Incorporating water quality responses into the framework of best management practices optimization , 2016 .

[64]  A. Barbati,et al.  Natural forest expansion into suburban countryside: Gained ground for a green infrastructure? , 2013 .

[65]  A. Kaźmierczak,et al.  Promoting ecosystem and human health in urban areas using Green Infrastructure: A literature review , 2007 .

[66]  Weiwei Shao,et al.  Review on Urban Hydrology , 2014 .

[67]  Stephan Pauleit,et al.  Planning multifunctional green infrastructure for compact cities: What is the state of practice? , 2017, Ecological Indicators.

[68]  Joseph H. A. Guillaume,et al.  An uncertain future, deep uncertainty, scenarios, robustness and adaptation: How do they fit together? , 2016, Environ. Model. Softw..

[69]  Yuan Wang,et al.  Green building evaluation from a life-cycle perspective in Australia: A critical review , 2017 .

[70]  B. Perera,et al.  Green infrastructure practices for improvement of urban air quality , 2017 .

[71]  Andreas Paul Zischg,et al.  Validation of 2D flood models with insurance claims , 2018 .

[72]  L. Corominas,et al.  Assessing stormwater control measures using modelling and a multi-criteria approach. , 2019, Journal of environmental management.

[73]  J. Wolch,et al.  Urban green space, public health, and environmental justice: The challenge of making cities ‘just green enough’ , 2014 .

[74]  A. Bhaskar,et al.  Groundwater recharge amidst focused stormwater infiltration , 2018, Hydrological Processes.

[75]  Yi Li,et al.  Multi-objective optimization integrated with life cycle assessment for rainwater harvesting systems , 2018 .

[76]  Brian D. Barkdoll,et al.  Multiobjective, Socioeconomic, Boundary-Emanating, Nearest Distance Algorithm for Stormwater Low-Impact BMP Selection and Placement , 2017 .

[77]  Nien-Sheng Hsu,et al.  Optimization of low impact development layout designs for megacity flood mitigation , 2018, Journal of Hydrology.

[78]  H. Jia,et al.  Progress on environmental and economic evaluation of low-impact development type of best management practices through a life cycle perspective , 2019, Journal of Cleaner Production.

[79]  Lei Chen,et al.  A fast and robust simulation-optimization methodology for stormwater quality management , 2019, Journal of Hydrology.

[80]  Guangtao Fu,et al.  Reliable, resilient and sustainable water management: the Safe & SuRe approach , 2016, Global challenges.

[81]  Yun Wang,et al.  Combination and placement of sustainable drainage system devices based on zero-one integer programming and schemes sampling. , 2019, Journal of environmental management.

[82]  Hyuk Lee,et al.  Optimizing low impact development (LID) for stormwater runoff treatment in urban area, Korea: Experimental and modeling approach. , 2015, Water research.

[83]  Q. Tan,et al.  Optimizing best management practices for nutrient pollution control in a lake watershed under uncertainty , 2017, Ecological Indicators.

[84]  Tirupati Bolisetti,et al.  Multiobjective optimization of low impact development stormwater controls , 2018, Journal of Hydrology.

[85]  Bernard A Engel,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. , 2017, The Science of the total environment.

[86]  Gunwoo Kim,et al.  The impact of green infrastructure on human health and well-being: The example of the Huckleberry Trail and the Heritage Community Park and Natural Area in Blacksburg, Virginia , 2019, Sustainable Cities and Society.

[87]  C. Folke,et al.  Reconnecting Cities to the Biosphere: Stewardship of Green Infrastructure and Urban Ecosystem Services , 2014, AMBIO.

[88]  L. Shawn Matott,et al.  OSTRICH-SWMM: A new multi-objective optimization tool for green infrastructure planning with SWMM , 2019, Environ. Model. Softw..

[89]  Marcio Giacomoni,et al.  Multi-Objective Evolutionary Optimization and Monte Carlo Simulation for Placement of Low Impact Development in the Catchment Scale , 2017 .

[90]  G. Ren,et al.  Evidence for a Strong Association of Short-Duration Intense Rainfall with Urbanization in the Beijing Urban Area , 2017 .

[91]  Bernard A. Engel,et al.  Optimal selection and placement of BMPs and LID practices with a rainfall-runoff model , 2016, Environ. Model. Softw..

[92]  Weiwei Shao,et al.  Assessing the mitigation of greenhouse gas emissions from a green infrastructure-based urban drainage system , 2020 .

[93]  Diego Ramirez-Lovering,et al.  Framing water sensitive urban design as part of the urban form: A critical review of tools for best planning practice , 2017, Environ. Model. Softw..

[94]  P. O'Gorman,et al.  More extreme precipitation in the world’s dry and wet regions , 2016 .

[95]  Weiwei Shao,et al.  A new strategy for integrated urban water management in China: Sponge city , 2018 .

[96]  T. Matthews,et al.  Reconceptualizing green infrastructure for climate change adaptation: Barriers to adoption and drivers for uptake by spatial planners , 2015 .

[97]  Guoxiang Yang,et al.  Spatial optimization of watershed management practices for nitrogen load reduction using a modeling-optimization framework. , 2015, Journal of environmental management.

[98]  R. Bruno,et al.  Surface temperature analysis of an extensive green roof for the mitigation of urban heat island in southern mediterranean climate , 2017 .

[99]  M. Nikoo,et al.  A game theoretical low impact development optimization model for urban storm water management , 2019 .

[100]  Li Liu,et al.  Green infrastructure for sustainable urban water management: Practices of five forerunner cities , 2018 .

[101]  Tirupati Bolisetti,et al.  Performance and implementation of low impact development - A review. , 2017, The Science of the total environment.

[102]  Peifang Wang,et al.  Seeking urbanization security and sustainability: Multi-objective optimization of rainwater harvesting systems in China , 2017 .

[103]  Guangtao Fu,et al.  An Integrated Environmental Assessment of Green and Gray Infrastructure Strategies for Robust Decision Making. , 2015, Environmental science & technology.

[104]  Kun Zhang,et al.  A comprehensive review of spatial allocation of LID-BMP-GI practices: Strategies and optimization tools. , 2018, The Science of the total environment.

[105]  Y. Jeffrey Yang,et al.  Modeling the cost-effectiveness of stormwater best management practices in an urban watershed in Las Vegas Valley , 2016 .

[106]  Zhifeng Yang,et al.  Mechanisms and applications of green infrastructure practices for stormwater control: A review , 2019, Journal of Hydrology.

[107]  Ann van Griensven,et al.  Developing a modeling tool to allocate Low Impact Development practices in a cost-optimized method , 2019, Journal of Hydrology.

[108]  Indrajeet Chaubey,et al.  A computationally efficient approach for watershed scale spatial optimization , 2015, Environ. Model. Softw..

[109]  Indrajeet Chaubey,et al.  A review on effectiveness of best management practices in improving hydrology and water quality: Needs and opportunities. , 2017, The Science of the total environment.

[110]  D. Pumo,et al.  Potential implications of climate change and urbanization on watershed hydrology , 2017 .

[111]  Zoran Kapelan,et al.  Multi-criteria Approach for Selection of Green and Grey Infrastructure to Reduce Flood Risk and Increase CO-benefits , 2018, Water Resources Management.

[112]  S. Pauleit,et al.  From Multifunctionality to Multiple Ecosystem Services? A Conceptual Framework for Multifunctionality in Green Infrastructure Planning for Urban Areas , 2014, AMBIO.

[113]  Abbas Mohajerani,et al.  The urban heat island effect, its causes, and mitigation, with reference to the thermal properties of asphalt concrete. , 2017, Journal of environmental management.