PM2.5 concentration prediction using machine learning algorithms: an approach to virtual monitoring stations

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 8, 2025

One of the most important pollutants is PM2.5, which particularly to monitor pollutant levels keep concentration under control. In this research, an attempt has been made predict concentrations PM2.5 using four Machine Learning (ML) models. The ML methods include Light Gradient Boosting (LGBM), Extreme Regressor (XGBR), Random Forest (RF) and (GBR). mean maximum were recorded 32.84 µg/m3 160.25 µg/m2, respectively, indicating occurrence occasional episodes high pollution from 2016 2022. dropped below 30 µg/m2 in 2018 due reduced human activities during COVID-19 lockdowns but significantly increased because ongoing operation heavy industries post-COVID-19 2021. models performed very well predicting with around 95% their predictions falling within factor observed concentration. results presented that among algorithms, GBR confirmed good model performance compared other models, lowest MSE (5.33) RMSE (2.31), as accuracy measures. This suggests best for reducing large errors, making it more robust capturing variations levels. conclusion, study proposed a method obtain high-accuracy prediction are useful air quality monitoring on global scale improving acute exposure assessment epidemiological research.

Language: Английский

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Urban vegetation benefits in mediterranean cities for climate change adaptation and water usage efficiency – a case study in Algarve, Portugal

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: Feb. 6, 2025

In the current climate change scenario, Mediterranean cities face heatwaves and reduced availability of freshwater alternated with intense precipitation events in short periods. The demand for water, especially urban tourism purposes, is rising, particularly coastal cities. importance integrating nature into cities, trees, has been studied its benefits adapting to improving quality life. However, water scarcity remains a limiting factor ensuring needs trees and, consequently, ecosystem services they provide. this study, we quantified (CO 2 sequestration storage, O production, air pollutants removal, hydrological effects as transpiration, intercepted avoided runoff) provided by vegetation Faro (Algarve, Portugal), detailed analysis three green spaces. We analyzed given spaces community preferences. Rainwater harvesting was an alternative source irrigation advantages cycle. found that across city sequesters 1.09 × 10 3 t. yr −1 CO , stores 4.01 t C, contributes pollutant removal = 114; 3.56 ; NO 313; SO 224; PM 872; 2.5 70) kg. prevents 861 m . surface runoff. general, people inquired use visit value city’s spaces, enjoy activities nature, have definite preferences regarding are available suggest actions improve these It confirmed order maintain their provides community, rainwater utmost relevance representing reduction drinking 4.20

Language: Английский

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Urban Park Planning for Sustainability: Resident Insights from China’s Major Cities

Land, Journal Year: 2025, Volume and Issue: 14(1), P. 128 - 128

Published: Jan. 9, 2025

Urban parks are pivotal in the sustainable development of urban ecosystems, significantly enhancing ecological environment and residents’ quality life. To scientifically improve park management ensure long-term sustainability, this study aims to establish a framework for understanding predicting spatial perceptions parks. Overcoming constraints traditional empirical research, conducted questionnaire survey involving 701 residents from Beijing Chaoyang Park, Shanghai Century Guangzhou Yuexiu Park May July 2024. By combining semantic differential (SD) method, importance–performance analysis (IPA), cognitive map methods, holistically assessed their variations The SD highlighted perceptional differences three parks, revealing needs tailored planning considering personal characteristics geographical location, which is essential services overall satisfaction. Comparative showed significant preferences different resident groups, with facing sense deprivation due weaker natural features, suggesting critical role elements design, while Parks were highly valued aligning design local preferences. Cognitive maps reveal perception particularly familiarity social functions, artificial landscapes, internal attractions informs integration that cater varying foster stronger place. This confirms effectiveness methods quantitatively evaluating perception, provides useful references

Language: Английский

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Urban Tree Carbon Storage Estimation Using Unmanned Aerial Vehicles Remote Sensing

Urban forestry & urban greening, Journal Year: 2025, Volume and Issue: unknown, P. 128755 - 128755

Published: March 1, 2025

Language: Английский

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Steering Towards the Most Adequate Performance Indicator for an Economic and Hydrological Evaluation of Low-Impact Development Practices

Published: Jan. 1, 2025

Language: Английский

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A decision support tool for the selection of biophysical methodologies to assess urban Nature-based Solutions using regulating ecosystem services.

Urban forestry & urban greening, Journal Year: 2025, Volume and Issue: unknown, P. 128842 - 128842

Published: May 1, 2025

Language: Английский

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Assessment of air pollution removal by urban trees based on the i‐Tree Eco Model: The case of Tehran, Iran

Integrated Environmental Assessment and Management, Journal Year: 2024, Volume and Issue: 20(6), P. 2142 - 2152

Published: Aug. 29, 2024

Abstract Air quality concerns have become increasingly serious in metropolises such as Tehran (Iran) recent years. This study aims to assess the contribution of urban trees toward mitigating air pollution and evaluate economic value this ecosystem service using i-Tree Eco model. To accomplish objective, we utilized Tehran's original land use map, identifying five distinct categories: commercial industrial, parks forests, residential areas, roads transportation, services. Field data necessary for analysis were collected from 316 designated plots, each with a radius 11.3 m, subsequently analyzed The locations these plots determined stratified sampling method. results illustrate that removed 1286.4 tons pollutants 2020. Specifically, annual rates removal found be 134.8 CO; 299.7 NO2; 270.3 O3; 0.7 PM2.5; 489.4 PM10 (particulate matter diameter size between 2.5 10 µm); 91.5 SO2, an associated monetary US$1 536 619. However, despite significant capacity, impact remains relatively small compared total amount emitted 2020, accounting only 0.17%. is attributed high emissions rate low per capita green space city. These findings could serve foundation future research planning initiatives aimed at enhancing spaces thereby promoting sustainable development. Integr Environ Assess Manag 2024;20:2142–2152. © 2024 SETAC Key Points 1286 yet their improving was small, less than 1% overall reduction unable offset local due dormancy winter. Compared other preferred approaches, replacing eroded diesel buses trucks newer models, showed lowest cost-effectiveness but insufficient on own. Urban planners managers must consider combined approaches significantly mitigate ensure city sustainability. Future should investigate role shrubs alongside reducing quantify by vegetation canopies fully understand infrastructure's effectiveness pollution.

Language: Английский

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Understanding Future Water-Carbon-Land Coupled Systems in the Era of COP 27: The Case of the Hanjiang River Basin, China

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 144054 - 144054

Published: Oct. 1, 2024

Language: Английский

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An economic valuation of the Bunso Eco-Park, Ghana: an application of travel cost method

Cogent Social Sciences, Journal Year: 2024, Volume and Issue: 10(1)

Published: April 22, 2024

This research aims at [1] identifying the factors that influence visits to Bunso Eco-Park; [2] estimating recreational demand function for park; and [3] visitors' net benefit (consumer surplus) embarking on an eco-park trip using a sample size of 440. Estimates indicate annual person value site is Gh¢ 191.06 ($ 22.29) translating into economic 9,170,880 (US$ 1,070,114.35). There inverse relationship between rate travel cost. The positive intercept indicates normal curve Eco-Park. variables family size, marital status, years visitors have known were not significant. Educational level, age, gender, knowledge alternative sites found be influencing visitation Further valuation non-recreational Eco-Park would useful policymakers place suitable management plans in sustaining improving quality service.

Language: Английский

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Assessing environmental services and economic values of urban tree species in open public green spaces at Ecopark, Hung Yen province, Vietnam: An application of i-Tree Eco model

Journal of Forestry Science and Technology, Journal Year: 2024, Volume and Issue: 9(1), P. 86 - 95

Published: Jan. 1, 2024

Urban trees have been widely acknowledged providing a wide range of environmental services. They help to improve air quality by absorbing pollutants, crucial roles in magaging stormwater runoff etc., urban environments. This study applied i-Tree Eco model assess the structure community and quantifies services economic values open public green spaces Park, Hung Yen province, Vietnam. To run model, we collected profiles 942 area, including: location; species name; diameter at beast height (DBH, 1.3 m above ground); tree (crown height, canopy length, etc.); under (canopy width East-West, South-North directions); missing percentage; crown light exposure. The result showed that all contributed 990kg PM2.5 reduction (equal 231,660 $/year); 1,338.4 (ton/year) carbon sequestration 13,384 $/year) 26,772.1 (ton) storage 267721 37,600.2 (m3) avoided 79,712 $/year). Overall, Khaya senegalensis (Desr.) A. Juss. was most services; Ficus subpisocarpa Gagnep. economically valuable with nearly 75 $/tree. landscape design should consider these superior into infrustructure projects maximize values.

Language: Английский

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