Impact Of Green Infrastructure Research Articles

The Impact of Green Infrastructure on the Quality of Stormwater and Environmental Risk

Increasing urbanization and the associated sealing of areas and the use of storm sewer systems for drainage not only increase the risk of flooding but also reduce water quality in streams into which stormwater is discharged. Green infrastructure (GI) measures are applied with the aim of managing this stormwater sustainably and reducing the associated risks. To this end, a quantitative–qualitative approach was developed to simulate GI—namely, rain gardens, bioretention cells, and vegetative bioswales—at the urban catchment scale. The findings highlight the potential of applying GI measures to managing stormwater more effectively in urban environments and mitigating its negative pollution-related impacts. For the housing estate analyzed, a simulated implementation of GI resulted in a reduction in pollution, measured as total nitrogen (N; 9–52%), nitrate-N (5–30%), total phosphorus (11–59%), chemical oxygen demand (8–46%), total suspended solids (13–73%), copper (12–64%), zinc (Zn; 16–87%), polycyclic aromatic hydrocarbons (16–91%), and the hydrocarbon oil index (HOI; 15–85%). Reducing the concentrations of pollutants minimizes the risk to human health determined via the HOI from a low-risk level to zero risk and reduces the ecological risk in terms of Zn pollution from a significant risk to a low risk of adverse effects. The modeling conducted clearly shows that the GI solutions implemented facilitated a quantitative reduction and a qualitative improvement in stormwater, which is crucial from an environmental perspective and ensures a sustainable approach to stormwater management. Lowering the levels of stormwater pollution through the implementation of GI will consequently lower the environmental burden of pollutants in urban areas.

Impact of green infrastructure on PM10 in port-adjacent residential complexes: A finite volume method-based computational fluid dynamics study

This study examines the effects of PM10 reduction by introducing green infrastructure (GI) in residential areas adjacent to ports, where significant pollutant emissions from ships are prevalent. Using finite volume method (FVM)-based computational fluid dynamics (CFD) simulations, we evaluated 30 scenarios based on various GI types and spacings and validated these simulations using observational data. The assessed GI types included trees and shrubs (hedges). Planting configurations were categorized into single (T for trees, H for hedges) and mixed (TH for both trees and hedges) plantings, with one or two rows and spacings of trees from 6 m to 14 m at 2 m intervals. We also considered both aerodynamic and depositional effects as mechanisms for PM10 reduction by GI. Our results revealed the following: 1) Plant spacing significantly influenced PM10 reduction, with both excessively narrow and wide spacings being suboptimal. (2) Trees proved to be more effective, whereas combining them with shrubs offers limited advantages. 3) Among the shrubs, the adsorption effect was more influential on PM10 reduction than the aerodynamic effects. These insights are not limited to port regions but also offer foundational knowledge for enhancing urban air quality, setting the groundwork for subsequent studies.

Greening therapeutic spaces - the impact of green infrastructure on people affected by neurological conditions

Greening therapeutic spaces - the impact of green infrastructure on people affected by neurological conditions

A study on the impact of green infrastructure on microclimate and thermal comfort

AbstractThis study focuses on exploring the impact of urban forms and vegetation combination patterns on the microclimate in a complex urban environment. Results shown that the closed urban form has higher air temperature resulting in pedestrians are easier to feel heat stress; instead, the open urban form usually has higher wind speed. Vegetation can effectively reduce wind speed while reducing the change rate of the mean radiant temperature. However, the effect on air temperature and humidity are most distinct in the morning. Trees and shrubs could improve the surrounding thermal comfort conditions by reducing heat stress, but this effect depends on the density of the leaf area. More importantly, study has not found that the ground cover plants contribute to the improvement of thermal comfort.

The Determination of Priority Areas for the Construction of Green Roofs with Use of the Urban Area Valorisation Method

The aim of the research was to valorise the analysed urbanized area in the direction of determining the hierarchy in the order of interventions aimed at increasing the share of biologically active area and natural field retention, the potential impact of green roofs on the valorisation of the studied urbanized areas. The research covered the Gajowice estate in Wrocław. The scope of the research included the division of the area into working cells, for which valorisation was carried out using the point method based on the criterion of the degree of covering the land with vegetation and the degree of covering the area with various types of buildings. The valorisation result was determined on the basis of a comparative matrix taking into account the results of the partial assessment of vegetation and building cover. The impact of green infrastructure (green roofs) on valorisation was simulated by proposing their location on buildings with the so-called big plate. The introduction of green roofs on selected buildings improved the valorisation result in some research cells, reducing the number of cells requiring intervention. This raised the valorisation assessment by even two classes, which resulted in a significant reduction in the number of critical areas, with too much hardened surface, and increased the number of areas with a satisfactory level of biologically active surfaces.

Investigating the Role of Green Infrastructure on Urban WaterLogging: Evidence from Metropolitan Coastal Cities

Urban green infrastructures (UGI) can effectively reduce surface runoff, thereby alleviating the pressure of urban waterlogging. Due to the shortage of land resources in metropolitan areas, it is necessary to understand how to utilize the limited UGI area to maximize the waterlogging mitigation function. Less attention, however, has been paid to investigating the threshold level of waterlogging mitigation capacity. Additionally, various studies mainly focused on the individual effects of UGI factors on waterlogging but neglected the interactive effects between these factors. To overcome this limitation, two waterlogging high-risk coastal cities—Guangzhou and Shenzhen, are selected to examine the effectiveness and stability of UGI in alleviating urban waterlogging. The results indicate that the impact of green infrastructure on urban waterlogging largely depends on its area and biophysical parameter. Healthier or denser vegetation (superior ecological environment) can more effectively intercept and store rainwater runoff. This suggests that while increasing the area of UGI, more attention should be paid to the biophysical parameter of vegetation. Hence, the mitigation effect of green infrastructure would be improved from the “size” and “health”. The interaction of composition and spatial configuration greatly enhances their individual effects on waterlogging. This result underscores the importance of the interactive enhancement effect between UGI composition and spatial configuration. Therefore, it is particularly important to optimize the UGI composition and spatial pattern under limited land resource conditions. Lastly, the effect of green infrastructure on waterlogging presents a threshold phenomenon. The excessive area proportions of UGI within the watershed unit or an oversized UGI patch may lead to a waste of its mitigation effect. Therefore, the area proportion of UGI and its mitigation effect should be considered comprehensively when planning UGI. It is recommended to control the proportion of green infrastructure at the watershed scale (24.4% and 72.1% for Guangzhou and Shenzhen) as well as the area of green infrastructure patches (1.9 ha and 2.8 ha for Guangzhou and Shenzhen) within the threshold level to maximize its mitigation effect. Given the growing concerns of global warming and continued rapid urbanization, these findings provide practical urban waterlogging prevention strategies toward practical implementations.

Impact of green infrastructure on the mitigation of road-deposited sediment induced stormwater pollution

As a vital stormwater pollution source, the pollutants associated with road-deposited sediment (RDS) have become a growing concern in urban water management. Green infrastructure has exhibited great potential in stormwater pollution mitigation, but is not comprehensively understood yet due to the influences of complex RDS-associated pollutant migration processes (i.e., build-up, wash-off, and discharge). In this study, a city-scale hydraulic and water quality model was used to analyze the migration and removal processes of four RDS-associated pollutants (total suspended solids (TSS), chemical oxygen demand (COD), total nitrogen (TN), and total phosphorus (TP)) under different hydrological patterns, land-cover types, and green infrastructure installation locations. Results show that the antecedent dry-weather period was the main factor influencing RDS build-up, while the precipitation pattern strongly impacted RDS wash-off, discharge, and removal. The downstream-installed green infrastructures reduced the RDS-induced stormwater pollution by up to 68% and relieved the pollution-mitigation pressure of the studied drainage networks by almost 50%. The TSS and COD removal rates were higher (62.22–68.09%) near green space, while those of TN and TP were higher around buildings and roads (40.00–62.50%). Sensitivity analysis indicated that seven parameters regarding the surface layer characteristics and soil texture class strongly impacted the pollution-mitigation performance among the 31 technical parameters of green infrastructure. The results of this study would assist urban water management by optimizing green infrastructure for stormwater pollution mitigation.

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

The purpose of this study is to determine if human health and well-being benefits can be attributed to green infrastructure projects. This study identifies and quantifies the health and well-being effects of two different types of green infrastructure: the Huckleberry Trail and Heritage Community Park and Natural Area, both located in Blacksburg, Virginia. To identify possible relationships between different types of green infrastructure and obesity (BMI), physical activity, psychological benefits, place attachment, and safety benefits, a survey of citizen attitudes and perceptions was undertaken. The results indicate that the higher visitor frequency and closer distance from home to the green infrastructure results in positive psychological benefits and place attachment. There was a positive relationship between level of physical activity that people engage in and the distance to the green infrastructure site and physical health and place attachment. In terms of gender, females were found to have higher physical health benefits and males reported higher psychological benefits. The higher place attachment was reported for the Huckleberry Trail. The results of the study can be used to justify investment in green infrastructure projects and insights into the types of activities that can be provided by landscape architects who design green infrastructure projects.

Urban Multi-scale Environmental Predictor (UMEP): An integrated tool for city-based climate services

UMEP (Urban Multi-scale Environmental Predictor), a city-based climate service tool, combines models and tools essential for climate simulations. Applications are presented to illustrate UMEP's potential in the identification of heat waves and cold waves; the impact of green infrastructure on runoff; the effects of buildings on human thermal stress; solar energy production; and the impact of human activities on heat emissions. UMEP has broad utility for applications related to outdoor thermal comfort, wind, urban energy consumption and climate change mitigation. It includes tools to enable users to input atmospheric and surface data from multiple sources, to characterise the urban environment, to prepare meteorological data for use in cities, to undertake simulations and consider scenarios, and to compare and visualise different combinations of climate indicators. An open-source tool, UMEP is designed to be easily updated as new data and tools are developed, and to be accessible to researchers, decision-makers and practitioners.