Analyzing Pocket Park Locations and Pedestrian Accident Rates Using Generative Adversarial Networks DOI
Yuanyuan Li,

Wenxin Gao,

Hao Zheng

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

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

Ahmad Makhdoomi,

Maryam Sarkhosh,

Somayyeh Ziaei

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Март 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.

Язык: Английский

Процитировано

2

Urban vegetation benefits in mediterranean cities for climate change adaptation and water usage efficiency – a case study in Algarve, Portugal DOI Creative Commons
Pedro Matias, Manuela Moreira da Silva,

João Teigão

и другие.

Frontiers in Environmental Science, Год журнала: 2025, Номер 13

Опубликована: Фев. 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

Язык: Английский

Процитировано

1

New Data on Phytochemical and Morphophysiological Characteristics of Platycladus orientalis L. Franco and Thuja occidentalis L. Conifer Trees in Polluted Urban Areas of Kazakhstan DOI Open Access
Nurgul Yerezhepova,

Meruyert Kurmanbayeva,

Nina V. Terletskaya

и другие.

Forests, Год журнала: 2024, Номер 15(5), С. 790 - 790

Опубликована: Апрель 30, 2024

The adaptive potential of plants in urban environments, responding to factors like air pollution, electromagnetic radiation, and specific microclimates, remains insufficiently understood. Our study focused on two evergreen Cupressaceae family species, Thuja occidentalis L. Platycladus orientalis Franco, which are commonly found Kazakhstan’s landscapes. Conducted Almaty, one most polluted cities, our comparative analysis examined the anatomical features, photosynthetic activity, secondary metabolite composition these conifers. Both species exhibited xeromorphic traits, such as submerged stomata, resin passages, a prominent leaf cuticle. T. displayed higher activity values (quantum yield photosystem II (YII), electron transport rate (ETR), quantum non-photochemical quenching (Y(NPQ))) than P. orientalis, while non-regulated energy dissipation PSII (Y(NO)) values. Chemical revealed 31 components 33 with containing three times more thujone (16.42% 5.18%, respectively) monosaccharide content (17.33% 6.98%, respectively). also contained 14.53% steroids, whereas showed no steroid presence. cytotoxic essential oils was determined by survival Artemia salina aquatic crustaceans, tested from both acute lethal toxicity A. crustaceans across all concentrations. connection between physiological adaptation strategies, effects offers comprehensive view ecological pharmacological importance observed conifer highlighting their diverse roles well medical uses.

Язык: Английский

Процитировано

3

Urban Park Planning for Sustainability: Resident Insights from China’s Major Cities DOI Creative Commons
Biao He, Siyi Wang, Qian Xiong

и другие.

Land, Год журнала: 2025, Номер 14(1), С. 128 - 128

Опубликована: Янв. 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

Язык: Английский

Процитировано

0

Urban Tree Carbon Storage Estimation Using Unmanned Aerial Vehicles Remote Sensing DOI
Hongwei Tian, Chiyu Xie,

Mingqiang Zhong

и другие.

Urban forestry & urban greening, Год журнала: 2025, Номер unknown, С. 128755 - 128755

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

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

Laura Milena Solarte,

Sophie Duchesne, Geneviève Pelletier

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

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

Juliana Uribe-Aguado,

J. Patiño, Dániel Kozák

и другие.

Urban forestry & urban greening, Год журнала: 2025, Номер unknown, С. 128842 - 128842

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0

Assessment of air pollution removal by urban trees based on the i‐Tree Eco Model: The case of Tehran, Iran DOI Open Access
Reihaneh Rasoolzadeh, Naghmeh Mobarghaee Dinan, Hassan Esmaeilzadeh

и другие.

Integrated Environmental Assessment and Management, Год журнала: 2024, Номер 20(6), С. 2142 - 2152

Опубликована: Авг. 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.

Язык: Английский

Процитировано

2

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

Yufeng Cheng,

Quan Zhou

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер unknown, С. 144054 - 144054

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

2

Engaging Young People in the Development of Innovative Nature-Inspired Technologies for Carbon Sequestration in Cities: Case Studies from Portugal DOI Creative Commons
Manuela Moreira da Silva, Lurdes Ferreira, Teresa Sarmento

и другие.

Smart Cities, Год журнала: 2024, Номер 7(1), С. 445 - 459

Опубликована: Янв. 31, 2024

Currently, cities are the most vulnerable places on planet to effects of global change, both anthropogenic and climate-related, this is not compatible with harmony well-being regarding economy, nature, future generations. Young people have a unique potential catalyze transformative sustainable change that needs now, as they first generation grow up tangible impacts climate change. We tested new strategy empower young foster carbon neutrality in by engaging them ecosystem services quantification technological innovation increase CO2 sequestration two Portuguese cities. The species best performance for were M. exelsa Porto O. europea Loulé, air pollutant removal hydrological regulation P. hispanica pinea Loulé. Through innovative advanced summer program SLI, nature-based learning experience, developed concepts solutions accelerate city decarbonization designing hedge pollution hotspots biodevice be placed at bus stops using autochthonous shrubs mosses. Initiatives like SLI contribute greater awareness among about drivers brought us current emergency, motivating towards more balanced lifestyles creating smart city.

Язык: Английский

Процитировано

1