City-scale health benefits from experimental results at the tree canopy level: Insights from a nature-based solution case study

Nature-based solutions, such as urban parks, play a crucial role in mitigating air pollution in cities while offering significant health benefits. However, a knowledge gap remains in understanding how vegetation-mediated pollutant removal translates into city-scale air quality improvements and health outcomes. This study uses a green area in Turin, Italy , as a case study, applying different approaches to assess the ecosystem services it provides. Different approaches based on, or inspired to, i-Tree Eco model were used to estimate the amount of particulate matter (PM) removed by trees, while scanning electron microscopy with X-ray spectroscopy (SEM/EDX) was employed to measure PM deposition on leaves. Based on these findings, the air quality improvement was evaluated under different scenarios. The corresponding reduction in disease burden -including conditions such as stroke and type 2 diabetes- at the city level was quantified using the Urban and Transport Planning Health Impact Assessment (UTOPHIA) tool. Results showed that while modelling and experimental approaches produced comparable estimates for fine particulate matter (PM 2.5 ), discrepancies were observed for coarse particles (PM₁₀), influencing the projected health outcomes. A detailed analysis of the applied methodologies, including parameter interdependencies, provides valuable insights into their influence on estimated outcomes. These findings can contribute to improving future approaches for translating local air quality data into city-scale policy decisions. • SEM/EDX and regression refine PM flux modelling from urban vegetation. • Novel hybrid methods improve i-Tree Eco estimates of pollutant removal. • Enhanced PM 2.5 models predict greater health benefits from green infrastructure. • City-scale health gains assessed by upscaling leaf-level PM deposition data. • Results support urban policies for greener, healthier and cleaner cities.

Authors

Institutions

Publication Details

Journal
Urban Climate
Published
2025-10-15
DOI
https://doi.org/10.1016/j.uclim.2025.102648
Primary Topic
Urban Green Space and Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

City-scale health benefits from experimental results at the tree canopy level: Insights from a nature-based solution case study

Satoshi Hirabayashi, Martina Della Casa, Chiara Baldacchini, Paola Gullino et al.
Urban Climate
Urban Green Space and Health
article

City-scale health benefits from experimental results at the tree canopy level: Insights from a nature-based solution case study

Satoshi Hirabayashi, Martina Della Casa, Chiara Baldacchini, Paola Gullino, Federica Larcher, Gabriele Guidolotti, Benedetto Rugani, Carlo Calfapietra
article en

Abstract

Nature-based solutions, such as urban parks, play a crucial role in mitigating air pollution in cities while offering significant health benefits. However, a knowledge gap remains in understanding how vegetation-mediated pollutant removal translates into city-scale air quality improvements and health outcomes. This study uses a green area in Turin, Italy , as a case study, applying different approaches to assess the ecosystem services it provides. Different approaches based on, or inspired to, i-Tree Eco model were used to estimate the amount of particulate matter (PM) removed by trees, while scanning electron microscopy with X-ray spectroscopy (SEM/EDX) was employed to measure PM deposition on leaves. Based on these findings, the air quality improvement was evaluated under different scenarios. The corresponding reduction in disease burden -including conditions such as stroke and type 2 diabetes- at the city level was quantified using the Urban and Transport Planning Health Impact Assessment (UTOPHIA) tool. Results showed that while modelling and experimental approaches produced comparable estimates for fine particulate matter (PM 2.5 ), discrepancies were observed for coarse particles (PM₁₀), influencing the projected health outcomes. A detailed analysis of the applied methodologies, including parameter interdependencies, provides valuable insights into their influence on estimated outcomes. These findings can contribute to improving future approaches for translating local air quality data into city-scale policy decisions. • SEM/EDX and regression refine PM flux modelling from urban vegetation. • Novel hybrid methods improve i-Tree Eco estimates of pollutant removal. • Enhanced PM 2.5 models predict greater health benefits from green infrastructure. • City-scale health gains assessed by upscaling leaf-level PM deposition data. • Results support urban policies for greener, healthier and cleaner cities.

Urban ClimateVol. 64
Università degli Studi della Tuscia (IT), Northern Research Station (US), National Biodiversity Institute (CR), National Research Council (IT), University of Turin (IT)
Openalex Percentile: Top 62%
Urban Green Space and Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.