The interrelationship of green infrastructure and natural capital

Chenoweth, Jonathan; Anderson, A. R.; Kumar, Prashant; Hunt, William F.; Chimbwandira, Sarah Jane; Moore, Trisha L.

doi:10.1016/j.landusepol.2018.03.021

Cited by 77 publications

(36 citation statements)

References 32 publications

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“…There are contrasting definitions of GI both between and within research disciplines 19 . This review concerns the use of trees and shrubs to form barriers between road traffic emissions and pedestrians.…”

Section: Introductionmentioning

confidence: 99%

Designing vegetation barriers for urban air pollution abatement: a practical review for appropriate plant species selection

2020

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Vegetation can form a barrier between traffic emissions and adjacent areas, but the optimal configuration and plant composition of such green infrastructure (GI) are currently unclear. We examined the literature on aspects of GI that influence ambient air quality, with a particular focus on vegetation barriers in open-road environments. Findings were critically evaluated in order to identify principles for effective barrier design, and recommendations regarding plant selection were established with reference to relevant spatial scales. As an initial investigation into viable species for UK urban GI, we compiled data on 12 influential traits for 61 tree species, and created a supplementary plant selection framework. We found that if the scale of the intervention, the context and conditions of the site and the target air pollutant type are appreciated, the selection of plants that exhibit certain biophysical traits can enhance air pollution mitigation. For super-micrometre particles, advantageous leaf micromorphological traits include the presence of trichomes and ridges or grooves. Stomatal characteristics are more significant for sub-micrometre particle and gaseous pollutant uptake, although we found a comparative dearth of studies into such pollutants. Generally advantageous macromorphological traits include small leaf size and high leaf complexity, but optimal vegetation height, form and density depend on planting configuration with respect to the immediate physical environment. Biogenic volatile organic compound and pollen emissions can be minimised by appropriate species selection, although their significance varies with scale and context. While this review assembled evidence-based recommendations for practitioners, several important areas for future research were identified.

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Section: Introductionmentioning

confidence: 99%

Designing vegetation barriers for urban air pollution abatement: a practical review for appropriate plant species selection

2020

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“…Higher ENI 1 values were assigned to sites with higher concentrations of air pollution, as they were considered to receive the greatest benefit from the GI in terms of air quality [21][22][23][24]. In particular, LID (planted-based types) reduces the concentrations of a variety of air pollutants that are known to increase health risks, such as fine atmospheric particulate matter (PM 2.5 ) [72,73].…”

Section: Environmental Index (Eni) Developmentmentioning

confidence: 99%

The Low-Impact Development Demand Index: A New Approach to Identifying Locations for LID

Kaykhosravi

Abogadil

Khan

et al. 2019

Water

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The primary goal of low impact development (LID) is to capture urban stormwater runoff; however, multiple indirect benefits (environmental and socioeconomic benefits) also exist (e.g., improvements to human health and decreased air pollution). Identifying sites with the highest demand or need for LID ensures the maximization of all benefits. This is a spatial decision-making problem that has not been widely addressed in the literature and was the focus of this research. Previous research has focused on finding feasible sites for installing LID, whilst only considering insufficient criteria which represent the benefits of LID (either neglecting the hydrological and hydraulic benefits or indirect benefits). This research considered the hydrological and hydraulic, environmental, and socioeconomic benefits of LID to identify sites with the highest demand for LID. Specifically, a geospatial framework was proposed that uses publicly available data, hydrological-hydraulic principles, and a simple additive weighting (SAW) method within a hierarchical decision-making model. Three indices were developed to determine the LID demand: (1) hydrological-hydraulic index (HHI), (2) socioeconomic index (SEI), and (3) environmental index (ENI). The HHI was developed based on a heuristic model using hydrological-hydraulic principles and validated against the results of a physical model, the Hydrologic Engineering Center-Hydrologic Modeling System model (HEC-HMS). The other two indices were generated using the SAW hierarchical model and then incorporated into the HHI index to generate the LID demand index (LIDDI). The framework was applied to the City of Toronto, yielding results that are validated against historical flooding records.

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“…The infrastructures could include road networks, water supply, port/dock, education and health facilities and other facilities. Green infrastructure is an alternative approach for storm water management with co-benefits of temperature control, air quality management, wildlife habitat and amenity space (Chenoweth et al 2018).…”

Section: Availability Of Infrastructurementioning

confidence: 99%

Environmental Management Prospects of Industrial Area: A Case Study on McIe, Indonesia

Sjaifuddin

2018

Business: Theory and Practice

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In addition to promote economic growth, industrialization had caused negative impacts on the environment. It was required a lot of efforts to overcome negative impacts, although the results were still not as expected. Starting from this condition this research aimed to design an environmental management prospect of Modern Cikande Industrial Estate (MCIE) in Serang, Banten Province, Indonesia. Environmental management prospect designed using a prospective analysis. This technique used to explore various possibilities in the future in environmental management of MCIE based on eco-industrial parks (EIPs). The analysis showed that there were 5 (five) key factors determine the success of environmental management of MCIE: pollution control, investment security, availability of infrastructure, industrial tourism, and competitiveness of industry. The most implementable scenario in MCIE environmental management in the future was the new urbanism. This scenario oriented on the long term balance between economic growth and environmental protection.

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The interrelationship of green infrastructure and natural capital

Cited by 77 publications

References 32 publications

Designing vegetation barriers for urban air pollution abatement: a practical review for appropriate plant species selection

Designing vegetation barriers for urban air pollution abatement: a practical review for appropriate plant species selection

The Low-Impact Development Demand Index: A New Approach to Identifying Locations for LID

Environmental Management Prospects of Industrial Area: A Case Study on McIe, Indonesia

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