Green Infrastructure Design Research Articles

Green Streets, Healthy Hearts: Exploring the Roles of Urban Nature and Walkability in Cardiovascular Health.

With the growing evidence that connects urban environments with public health outcomes, the role of urban planning has become increasingly critical in addressing public health challenges. Cardiovascular diseases (CVDs) are the leading cause of mortality in urban areas and worldwide and are impacted by characteristics of the built environment, such as walkability and nature exposure. In this literature view, we explore the influence of the physical built environment, specifically green spaces and walkability, on cardiovascular health. Results from prior studies show a clear reduction in cardiovascular disease-related risk factors, morbidity, and mortality in neighborhoods that integrate green spaces and/or walkability. Cumulative evidence suggests that urban environments that integrate green spaces (such as parks) and walkability (eg, safe sidewalks) can significantly improve cardiovascular health. Urban planning policies and strategies that prioritize the integration of green infrastructure and walkable designs can contribute to improving cardiovascular health in urban residents while also enhancing the overall well-being and quality of life.

Comparing the hydrological performance of blue green infrastructure design strategies in urban/semi-urban catchments for stormwater management

ABSTRACT Blue green infrastructure (BGI), in recent decades, have been increasingly recognized as robust stormwater control measures to reduce urban flooding, promote infiltration, and restore a catchment's flow to its pre-development stage. However, studies comparing the hydrological benefits of BGI alternatives at catchment scale are often limited to single catchment or single/few BGI options scaled over a catchment. This study designed a set of BGI alternatives as a combination of different BGI facilities in terms of the following: (a) spatial distribution scale (end-of-pipe vs. decentralized) and (b) naturalness scale (less engineered vs. more engineered), in three different urban catchments representing an inner city, a residential suburb, and a new urban housing. In addition, their hydrological performances were compared. A 10-year return period design rain and a continuous rain series of 11 years were modelled for each BGI alternative using the computer model (stormwater management model). It was observed that in most catchments, decentralized alternatives (both engineered and natural) showed better potential to reduce the magnitude and frequency of flooding than centralized measures. Similarly, the tested decentralized natural, less engineered alternatives showed higher potential to increase infiltration than the decentralized engineered alternatives in all three catchments. Meanwhile, infiltration-based BGI alternatives showed similar potential to mimic pre-development flow as other decentralized BGI alternatives.

Well-planned greenery improves air urban quality - Modelling the effect of altered airflow and pollutant deposition

Urban air quality is influenced by vegetation through alterations in airflow and pollutant deposition processes. We investigated these interactions by integrating the Vegetation Impact Dynamic Assessment model (VIDA) with the Large-Eddy Simulation model PALM. Our analysis focus on nitrogen dioxide (NO₂) and particulate matter (PM) concentrations at the local scale, considering three tree genera. Our findings reveal the necessity of accounting for both gaseous pollutants and particles separately due to their differing mechanisms of deposition onto leaves. The coupled PALM-VIDA model demonstrates a significant reduction in PM levels across the modelling domain and within street canyons when deposition to vegetation is incorporated. Reduction in NO₂ through deposition to vegetation is lower but human NO2 exposure can still be decreased if tree species selection and placement leads to desirable effects on air flow. Sparse tree arrangements or species with sparse crowns facilitate ventilation and are often better at reducing NO₂ concentrations in street canyons compared to denser vegetation with higher deposition but negative effects on ventilation. Our study informs urban planning and green infrastructure design, underscoring the multifaceted role of urban greenery in air pollution mitigation strategies. Its main conclusion is that both deposition processes and the influence of air mixing and ventilation need to be considered to accurately assess the effects of urban trees on local air quality. Ill-considered placement and species selection may cause a net increase in pollutants underneath the trees. However, careful planning can address this risk and instead improve overall air quality.

Evaluation of maintenance efficiency for multiple green infrastructure designs based on water quality performance and economic costs

Green infrastructure (GI) systems have been employed as an environmentally sustainable alternative to treat stormwater in urban areas, and many previous studies indicated GI practices are effective at reducing stormwater runoff flows to watersheds by rerouting flows through vegetation and soil. However, little is known about the effects of maintenance on GI performance. This study evaluated the maintenance efficiency for four GI designs (bioretention, grass channel, compost-amended grass channel, and bioswale) receiving the same weather conditions and pollutants along Lorton Road, Fairfax County, VA, USA., based on water-quality performance and economic costs. Seven regular maintenance events and a forebay restoration were monitored from 2018 to 2022. Stormwater quality performance among these four GI practices before and after these in-field maintenance activities was assessed on the load reduction of dissolved organic carbon (DOC), total dissolved nitrogen (TDN), total suspended solids (TSS), and runoff over four years. The average runoff reductions over all monitored storms were 74%, 85%,63%, and 68% for bioretention, grass channel, compost-amended grass channel, and bioswale, respectively. Over these maintenance events, the mean runoff reduction of all monitored GI designs improved by 3% after maintenance, DOC mass load reduction increased by 41%, TDN mass load reduction improved by 21%, and TSS mass load reduction increased by 2%. All the pollutant and runoff reductions for swales improved after spring maintenance events, and monitored GI systems generally performed better after spring maintenance events, potentially due more to the vegetation growth than the maintenance work. Bioretention and compost-amended grass channel DOC load reductions were the only statistically significant GI performance improvements attributable to maintenance.

Green infrastructure design for the containment of biological invasions. Insights from a peri-urban case study in Rome, Italy

Secondary shrublands and transitional woodland/shrub formations are recognised to be particularly susceptible to plant invasions, one of the main global threats to biodiversity, especially in dynamic peri-urban landscapes. Urban fringes are in fact often the place for the sprawl of artificial surfaces, fragmentation of habitats, and complex land transitions (including both agriculture intensification and abandonment), which in turn increase propagule pressure of exotic species over residual semi-natural ecosystems. Within this framework, the present study was aimed at analysing i) how landscape composition and configuration affect the richness of woody exotic species in shrubland and transitional woodland/shrub patches, and ii) how this threat can be addressed by means of green infrastructure design in a peri-urban case study (Metropolitan City of Rome, Italy). Accordingly, the occurrence of exotic plants was recorded with field surveys and then integrated with landscape analyses, both at patch level and over a 250 m buffer area around each patch. Thus, the effect of landscape features on exotic plant richness was investigated with Generalised Linear Models, and the best model identified (pseudo R-square = 0.62) for inferring invasibility of shrublands throughout the study area. Finally, a Green Infrastructure (GI) to contain biological invasion was planned, based on inferred priority sites for intervention and respective, site-tailored, actions. The latter included not only the removal of invasive woody alien plants, but also reforestation and planting of native trees for containment of dispersal and subsequent establishment. Even though specifically developed for the study site, and consistent with local government needs, the proposed approach represents a pilot planning process that might be applied to other peri-urban regions for the combined containment of biological invasions and sustainable development of peripheral complex landscapes.

Adapting Street Profile Design by Using Nature-Based Solutions in New Neighbourhoods and the Retrofit of Buildings

The aim of this paper is to analyse ways to upgrade the existing urban and architectural features in the built environment by incorporating and enhancing the use of nature-based solutions (NbSs) in relation to the city of Bucharest, which lacks green spaces mapping and quality studies and literature. The paper draws a comparison between the design elements used in other cities, namely Lisbon, Vienna and Rome. These are also analysed and compared in relation to the integration in a mixed urban development plan for a research-to-business neighbourhood design competition in Măgurele, situated near Bucharest. A matrix of five criteria is used for the analysis: historical context, urban context, nature versus design, use and climate context. In Lisbon, examples range from new green walls, modern green Mediterranean courtyards, NbS in scaffolding and temporary walls, the placing of Miradores around the city to green-and-healthy marketing tools for restaurants. For Vienna, a street is being remodelled in an innovative way using independent green infrastructure designs in existing retrofitted parking units, hotels and residential constructions. For Bucharest, emergent pop-up, small scale, bottom-up solutions push the city’s urban fabric beyond the greyish look of socialist-communist background and eclectic late 19th, early 20th century built heritage. For Măgurele, different versions of a modern neighbourhood and street profile design issues are analysed, using 3D renderings that incorporate NbS at various insertion scales. Existing example cases showcase new dimensions and toolsets of the adaptation of the urban fabric based on a more ecosystem-based approach of architectural-urban research by design, as possible instruments that facilitate a Green Transition in urban settings. Covering more cities in the future would add to the impact and contribution of this study.

Reinforcing resilience for integrated design of green and grey infrastructure with real-time control rules by considering system failures

The mutual benefits of real-time control and green and grey infrastructure for urban drainage system (UDS) renovations have drawn great attention. However, risks emerged due to equipment and structural failures, and no studies considered such failures while optimizing the renovation scheme. To address this issue, this study proposed a multi-criteria optimization method for the integrated design of green and grey infrastructure with real-time control rules, where the economic cost and system performance under normal and exceptional conditions were optimized simultaneously. Failure probabilities of equipment and structure were quantified using homogeneous Poisson process models, and failure losses were estimated with the aid of a machine learning-based surrogate model. This approach was tested with a combined UDS in China. Results indicate that: (1) More investment does not necessarily increase system resilience to failures. Equipment and structural failures can significantly lower the effectiveness of grey infrastructure and real-time control. Therefore, solutions with more investments in grey infrastructure, which indicate higher costs, experience greater failure losses. (2) System resilience to failures can be significantly improved while maintaining other objectives when compared with the traditional design scheme. The proposed method allows for a new perspective in addition to the cost-and-resilience two-objectives design of UDS renovations, especially for systems threatened by various failures.

Combining multi-species connectivity modelling with expert knowledge to inform the green infrastructure design

The Canton of Geneva is currently working on defining and mapping its green infrastructure (GI), in order to implement its biodiversity protection directives by 2030. Ecological connectivity is considered in the definition of the GI, as it is a key factor in managing the species extinction risk. It is considered a vital aspect of the landscape, because it can indicate how landscape facilitates or influences wildlife movement. In order to assess connectivity, animal movement data is essential as it provides precise behavioral information on the movements of organisms. Unfortunately, this kind of data is often missing or available only at local scales. Ecologists therefore must deal with a lack of data when trying to supply useful spatially explicit ecological models for conservation planning. To help managers in their efforts to define the GI, an alternative is to rely on local expert knowledge. We have thus applied a structured analytical framework to parameterize an ecological connectivity model combining expert opinion with three of the most used methods to assess ecological connectivity: graph theory, circuit theory and cumulative costs algorithm. By considering a selection of focal species representative of the different ecological requirements and movement behaviour of the regional wildlife, maps of priority areas for the promotion of ecological connectivity were obtained for red deer, roe deer, brown hare and common toad. We estimated the principal cross-border corridors at the scale of the Greater Geneva region, between France and Switzerland. Three transboundary high priority areas were highlighted in our maps. The localization of these areas is principally characterized by natural habitats such as forests, grasslands and freshwater ecosystems, but depends also on the agricultural areas. The principal natural barrier to animal movement is Lake Geneva, and the principal human barriers to movement are human settlements and highways that impede the regional displacements for all of the species. Considering the highways, the barrier effect could be diminished thanks to the recent construction of wildlife overpasses. We have seen that a close collaboration between local experts and ecological modelers is necessary when interpreting the conservation value of land potentially capable of promoting wildlife ecological connectivity. When implementing the GI, it will be useful to combine our models with field campaigns to measure the real functionality of the estimated priority areas, in order to guarantee the success of conservation actions.

Urban biodiversity and design in time of (post)pandemics: research perspectives from URBIO international network

Reflecting on the insights from research development within Urban Biodiversity and Design Network (URBIO), this paper attempts to link the consequences of current global changes (ongoing urbanization, biodiversity loss, land-use changes, globalization, etc.) to the emergence and outbreaks of the COVID-19 pandemic. It analyses the main outcomes of the URBIO webinar (December 2021) and the URBIO conference (November 2022) and the results of the questionnaire survey among the URBIO experts on the impact of COVID-19 on the biodiversity, design and society in their local contexts as well as on the ongoing and future URBIO research directions. The survey also enabled to explore and assess a wide diversity of human-nature interactions as well as the novel actions and adaptation strategies established to have positive outcomes for both humans and nature. The results revealed the following aspects associated with the COVID-19 pandemic: silence, social distancing, isolation, conflict ideologies, and declined recreational and other human activities. Experts noticed the increase of urban green space visitation and interest in nature. The majority of the experts confirmed the impact (both positive and negative) of the COVID-19 on biodiversity and environment. General positive aspects refer to the value/significance of nature and biodiversity/wildlife and especially the contact with nature (“time outdoor”, “time spent with family”, “inspiration from nature” and “enjoying nature”). The positive consequence of the COVID-19 measures was also the improvement of wildlife habitats and the increase of spontaneous flora as well as fauna species. Experts confirmed the lower/decreased level of pollution, noise, traffic, light, anthropogenic pressure/impact, number of tourists, vehicles as well as less garbage. The analysis of leading research themes among the URBIO conference participants confirmed that the biggest number of presenters and participants were on the topic of biodiversity integration in urban planning, green infrastructure, and landscape design projects. Another popular theme was ecological restoration and urban wildlife and plant biodiversity. One particular research direction that emerged recently and clearly pronounced at URBIO 2022 was urban biodiversity in times of climate change and post-pandemics.

Linkages between urban growth and land surface temperature variations in the Seoul metropolitan area: A spatial first-order difference approach

This study investigates the effects of urban development and expansion on Land Surface Temperature (LST) changes from 2000 to 2018, using the Seoul Metropolitan area (SMA) as a case study area. Along with descriptive analysis, this study uses a spatial first-order difference model to statistically analyze the longitudinal relationship between land use features and LST, including impervious surface (IS), enhanced vegetation index (EVI), anthropogenic factors, and urban spatial and topographical factors as well as urban development types as influential factors on LST variations. Our findings support prior research indicating the cooling effects of vegetation and warming effects of imperviousness. We also found a positive association between detached housing units, manufacturing activities and LST changes and a negative relationship between apartment units, urban parks, service activities and LST changes. More importantly, substantial LST reduction was found in the large-scale high-rise apartment complexes redeveloped from the low-rise, detached housing sites in inner-city infill areas, contrasting with significant LST rise in the suburban new town development. We suggest redevelopment of inner-city low-rise compact areas into high-rise but greener blocks as a LST mitigation strategy, equipped with cooling strategies such as green infrastructure and climate-sensitive design considering local microclimate and natural ventilation.

Modeling benefits and tradeoffs of green infrastructure: Evaluating and extending parsimonious models for neighborhood stormwater planning

Green infrastructure is often proposed to complement conventional urban stormwater management systems that are stressed by extreme storms and expanding impervious surfaces. Established hydrological and hydraulic models inform stormwater engineering but are time- and data-intensive or aspatial, rendering them inadequate for rapid exploration of solutions. Simple spreadsheet models support quick site plan assessments but cannot adequately represent spatial interactions beyond a site. The present study builds on the Landscape Green Infrastructure Design (L-GrID) Model, a process-based spatial model that enables rapid development and exploration of green infrastructure scenarios to mitigate neighborhood flooding. We first explored how well L-GrID could replicate flooding reports in a neighborhood in Chicago, Illinois, USA, to evaluate its potential for green infrastructure planning. Although not meant for prediction, L-GrID was able to replicate the flooding reported and helped identify strategies for flood control. Once evaluated for this neighborhood, we extended the model to include water quality through the representation of dispersion and settling mechanisms for two pollutant surrogates—total nitrogen and total suspended solids. With the extended model, Landscape Green Infrastructure Design Model-Water Quality (L-GrID-WQ), we examined benefits, costs, and tradeoffs for different green infrastructure strategies. Bioswales were slightly more effective than other green infrastructure types in reducing flooding extent and downstream runoff and pollution, through increased infiltration and settling capacity. Permeable pavers followed in effectiveness and are suggested where spatial constraints may limit the installation of bioswales. Although green infrastructure supports both flooding and pollution control, small tradeoffs between these functions emerged across spatial layouts: strategies based on only curb-cuts better controlled pollution, while layouts that followed the path of water flow better controlled flooding. By illuminating such tradeoffs, L-GrID-WQ can support green infrastructure planning that prioritizes unique concerns in different areas of a landscape.

Ponds and Wetlands Landscapes of Flood Management in the Cities of the Lower Yellow River Floodplain—The Case of Huaiyang, China

As interest has increased in green infrastructure and nature-based solutions, traditional approaches to managing landscapes have emerged as providing useful models for sustainable water and land management. From local gazetteers, archives, oral histories, maps, and satellite images, we documented the historical landscapes of ponds and wetlands back to the 17th century in the historic city of Huaiyang on the lower Yellow River floodplain. Like neighboring cities, Huaiyang was protected by a ring levee. As the floodplain rapidly aggraded, cities within the levee became topographically lower than the surrounding landscape. In this context, ponds and wetlands were essential for flood and storm water retention in the low-lying city. These seasonal waterbodies alternated between drying and wetting, providing a dynamic and diverse background for native habitats and human uses. CORONA satellite images ca. 1960s show ponds and wetlands shrinking in the dry season to 35.6% of their wet season extent, while the farmed area expanded 5.3 times. The multiple uses of wetlands included dry-season farming, harvesting wetland plants, and fishing, each use adapted to the localized topographic and hydrologic conditions of the wetlands. The late 20th century saw massive transformations for modern agriculture and urbanization. Understanding the historical evolution of this landscape can provide inspiration for developing green infrastructure and resilient designs that preserve cultural diversity and sustainably manage water in an urbanizing landscape.

Integrating landscape ecology in urban green infrastructure planning: A multi-scale approach for sustainable development

In response to the growing global recognition of the need to achieve sustainable development, significant efforts are underway to actively integrate nature into the urban environment by implementing green infrastructure. However, due to rapid urban growth, there is a need for novel approaches that integrate ecological knowledge and methods into urban green infrastructure design and development. Traditionally, the planning of green infrastructures in large metropolises has primarily approached from a unique city scale perspective. Here, we advocate for a multi-scale approach, encompassing both spatial and temporal dimensions. This is because by considering space, time, and scale, it is possible to identify relevant elements and constraints at each level and integrate them in an overall solution.This paper combines methodologies and concepts derived from the fundamentals of landscape ecology and proposes their integration into the planning of functional green infrastructures within an urban context. We explore distinct strategies to integrate nature into large cities through three perspectives: urbanism, landscaping, and ecology. The approach used assumes the necessity of a multi-scale framework to establish an integrated and sustainable green system, exemplified by the case study of the city of Madrid (Spain).Considerable progress has been made in the planning of a green belt within Madrid city. However, this initiative has focused primarily on a large-scale, leading to a minimal impact on the city core. To address this limitation, the proposed solution employs a multi-scale approach. By developing a connected network, we aim to provide a comprehensive plan for the integration of green infrastructure throughout the whole urban area.

Growing indoor environmental infrastructure: designing for microbial diversity with implications for pollutant metabolism and human health

Abstract Urban inhabitants spend upwards of 90% of their time indoors where building design and mechanical air-handling systems negatively impact air quality, microbiome diversity and health outcomes. Urban bioremediation infrastructure designed to improve indoor environmental quality by drawing air through photosynthesizing plants and metabolically diverse rhizospheres have been investigated since the 1960s; however, in-depth analysis of the potential impacts on indoor environments is required: (1) although recent evidence has illustrated human microbiome alteration and associated health benefits related to exposure to green wall systems, the mechanism(s) of diversification have not yet been established, (2) microbial metabolism and airborne chemical dynamics are extraordinarily complex and hypotheses pertaining to rhizosphere microorganisms metabolizing pollutants require more attention. To explore these areas, we applied a shotgun metagenomic approach to quantify microbial diversity and establish preliminary metabolic profiles within active green wall modules spanning a range of growth media and plant selections. Results indicate that fundamental design decisions, including hydroponic vs. organic growth media, support rhizosphere microbiomes with distinct diversity and metabolic profiles which could impact system performance. The described relationships indicate fundamental green infrastructure design represents an opportunity to “grow” indoor microbial diversity and metabolisms with potential benefits for human pollutant exposure and health outcomes.

A trait-based investigation into evergreen woody plants for traffic-related air pollution mitigation over time

This study investigated influences of leaf traits on particulate matter (PM) wash-off and (re)capture (i.e., net removal) over time. Leaf samples were taken before and after three rainfall events from a range of 10 evergreen woody plants (including five different leaf types), which were positioned with an optical particle counter alongside a busy road. Scanning electron microscopy was used to quantify the density (no./mm2), mass (μg/cm2), and elemental composition of deposited particles. To enable leaf area comparison between scale-like leaves and other leaf types, a novel metric (FSA: foliage surface area per unit branch length) was developed, which may be utilised by future research. Vehicle-related particles constituted 15 % of total deposition, and there was a notable 50 % decrease in the proportion of tyre wear particles after rainfall. T. baccata presented the lowest proportion (11.1 %) of vehicle-related particle deposition but the most consistent performance in terms of net PM removal. Only four of the 10 plant specimens (C. japonica, C. lawsoniana, J. chinensis, and T. baccata) presented effective PM wash-off across all particle size fractions and rainfall intensities, with a generally positive relationship observed between rainfall intensity and wash-off. Mass deposition was more significantly determined by particle size than number density. Interestingly, larger particles were also less easily washed off than smaller particles. Some traits typically considered to be advantageous (e.g., greater hairiness) may in fact hinder net removal over time due to retention under rainfall. Small leaf area is one trait that may promote both accumulation and wash-off. However, FSA was found to be the most influential trait, with an inverse relationship between FSA and wash-off efficacy. This finding poses trade-offs and opportunities for green infrastructure design, which are discussed. Finally, numerous areas for future research are recommended, underlining the importance of systems approaches in developing vegetation management frameworks.

Planning and Design Strategies for Green Stormwater Infrastructure from an Urban Design Perspective

With the rapid advancement of ecological civilization construction, prioritizing green stormwater infrastructure to address urban stormwater management issues has become an important strategy for ecological priority and green development in sustainable urban development. Green stormwater infrastructure, as a major facility in the construction of sponge cities, can reduce the generation and external discharge of runoff and play a purification role. However, there are various types of green stormwater infrastructure, each with different control effects and applicable conditions. Therefore, to facilitate the planning, design, acceptance, assessment, and monitoring evaluation of sponge city green stormwater infrastructure, this study proposes the “sponge equivalent” method. By comparing the control effects of different facilities with bioretention facilities, the method standardizes the effects, making them easier to understand and apply. Taking a typical area of Beijing and its urban roads as examples, the study analyzed and applied planning and design control strategies. The results show that for a residential area of 1 km2, to achieve the annual runoff total control rate target of 85%, the method of converting runoff volume control equivalents, using bioretention pools as a benchmark, allows for the calculation of various combinations of areas of different types of green stormwater infrastructure, such as sunken green spaces, permeable paving bricks, green roofs, and water storage tanks. This optimizes the planning index of Beijing, which mandates stormwater detention facilities for new projects with a hardened surface area of 2000 m2 or more. The sponge equivalent method can optimize the planning and design control strategy of green stormwater infrastructure, allowing for rapid assessment and application of the design scale of green stormwater infrastructure in areas during the planning and design stage, providing theoretical and technical support for ecological and green urban stormwater management. The application of this research method helps promote green development and ecological priority in urban sustainable development strategies, and the conclusions provide valuable references for decision-makers and practitioners in related fields.

Comparison of salinity tolerance between Avicenna marina and Rhizophora mucronata Karachi coast, Pakistan

Mangrove propagule size variation is an important factor in their survival. The main aim of this study was to determine the productivity and identify the comparison between Avicenna marina and Rhizophora mucronata. However, it is less studied about the comparison of mangrove species and their salt tolerance in terms of seedling establishment of propagules. We investigated the propagules size variation of Avicennia marina and Rhizophora mucronata from the Indus delta and were grown in the polythene bags of 5x10″ filled with silty soil from field nursery. We used salinity and nutrients treatments to propagules to identify the growth rate of mangrove species. The surveying technique was also used to collect the information of mangrove forest from local communities. We detected that Rhizophora mucronata had a higher productivity rate due to the given concentration of 50% sea water. While the Avicennia marina showed a lower decline ratios growth at 25% salinity level with further increases in salinity. Using diffusion porometers and infrared gas analyzers (IRGAs), we revealed that stomatal conductance was higher in Rhizophora mucronata, followed by Avicennia marina. Moreover, our outcomes showed a higher Sodium and chloride ions with the increase in salinity and also demonstrated a higher accumulation in Avicennia marina. Overall, its was found that Avicennia marina is the most salt resistant species and it’s a dominated species in littoral forest. Our outcomes can help us to better understand the green infrastructure design of mangroves, suggesting that selecting multiple techniques ensure many post-tsunami restoration initiatives are encountering problems.

Infiltration Efficiency Index for GIS Analysis Using Very-High-Spatial-Resolution Data

Infiltration models and impervious surface models have gained significant attention in recent years as crucial tools in urban and environmental planning, to assess the extent of land-surface changes and their impacts on hydrological processes. These models are important for understanding the hydrological dynamics and ecological impacts of urbanization and for the improvement of sustainable land-use planning and stormwater-management strategies. Due to the fact that many authors partially or entirely overlook the significance of the infiltration process in geographic information system (GIS) analyses, there is currently no universally accepted method for creating an infiltration model that is suitable for GIS multicriteria decision analysis (GIS-MCDA). This research paper presents an innovative approach to modeling the infiltration-efficiency index (IEI) for GIS analysis, with a focus on achieving high-quality results. The proposed methodology integrates very-high-resolution (VHR) remote-sensing data, GIS-MCDA, and statistical methods. The methodology was tested and demonstrated on a small sub-catchment in Metković, Croatia. The study developed a VHR IEI model from six specific criteria that produced values between 0 and 0.71. The model revealed that 14.89% of the research area is covered by impervious surfaces. This percentage is relatively favorable when compared to urban areas globally. The majority of the research area (62.79%) has good infiltration efficiency. These areas are predominantly characterized by agricultural land use, encompassing orchards, tangerines, olive groves, vineyards, and a diverse range of low-lying and high vegetation on flat terrain. The IEI model can provide input spatial data for high-resolution GIS analysis of hydrological processes. This model will aid decision-makers in stormwater-management, flood-risk assessment, land-use planning, and the design of green infrastructure. By utilizing the information derived from this study, policymakers can make informed decisions to mitigate flooding risks and promote sustainable urban development.

Association of residential greenness with chronotype among children

BackgroundThe association between residential greenness and chronotype remains unclear, especially among children. The current study aimed to explore the associations between residential greenness and chronotype parameters in children and examine potential pathways for these associations. MethodsIn this cross-sectional study, 16,421 children ages 3–12 were included. Two satellite-derived vegetation indices, i.e., the normalized difference vegetation index (NDVI) and the enhanced vegetation index (EVI), were used to estimate residential greenness. The mid-sleep point on a workday (MSW) and the mid-sleep point on free days (MSF) were considered. And mid-sleep time on free days adjusted for sleep debt (MSFsc) was used as an indicator of chronotype. In addition to multivariable linear regression models, subgroup analyses were conducted to explore effect modifiers, and mediation analyses were used to explore possible mediating mechanisms of air pollutants underlying the associations. ResultsAn interquartile range (IQR) increase in both NDVI500-m and EVI500-m was significantly associated with an earlier MSFsc of −0.061 (95 % confidence interval (CI): −0.072, −0.049) and −0.054 (95 % CI: −0.066, −0.042), respectively. Non-linear dose response relationships were discovered between greenness indices and MSFsc and MSF. The results of stratified analyses showed the effect of residential greenness on MSW was stronger among primary school children and individuals with higher household income than among kindergarten children and those with lower household income. The joint mediation effects of PM2.5, PM1, PM10, NO2, and SO2 on the associations of NDVI500-m and EVI500-m with MSFsc were 89.6 % and 76.0 %, respectively. ConclusionsHigher levels of residential greenness may have beneficial effects on an earlier chronotype in the child population, by reducing the effects of air pollutants, especially PM2.5. Our research hopes to promote the deployment of green infrastructure and healthy urban design strategies.

Exploring Public Preference and Willingness to Pay for the Ecosystem Benefits of Urban Green Infrastructure: Evidence from a Discrete Choice Experiment of Pilot Sponge Cities in China

Global extreme weather events such as rainstorms, floods and droughts have become increasingly frequent, posing significant threats to human beings worldwide. Green infrastructure has been implemented for decades to mitigate these issues. However, its widespread adoption in cities is still limited. A lack of sustainable funds was viewed as a great challenge for its widespread implementation. Many developed countries have practiced public participation and stormwater fee systems to mitigate these challenges. To assess the value that citizens place on the ecosystem benefits provided by urban green infrastructure is of great importance for increasing public participation and their willingness to pay. Thus, this paper aims to explore public preferences and their willingness to pay for the benefits of green infrastructure to support the construction and maintenance costs. A discrete choice experiment method was employed and five attributes were selected: reduction in run-off pollutant, degrees of ponding, plant type, planting aesthetics and the amount of payment. The Ngene1.2 software was used to generate a questionnaire, and data collected from the case cities, Xianyang and Xi’xian New Area, China, were analyzed using the mixed logit model. The results revealed that in Xianyang, the willingness to pay was not significantly associated with cognition, while in Xi’xian New Area, willingness to pay was positively related to cognition. Respondents exhibited a significant willingness to pay for green infrastructure to achieve reduced degrees of ponding in both cities, as well as improving planting aesthetics in Xi’xian New Area. Based on these findings, we conclude that government decision-makers should prioritize disseminating knowledge about green infrastructure to residents before implementing such projects in communities. The findings provide valuable insights into the potential economic value of urban green infrastructure and can guide policymakers and urban planners in making decisions regarding the design, implementation, and management of green infrastructure. This study contributes to the understanding of citizen perspectives and the economic evaluation of ecosystem services provided by urban green infrastructure.