The Influence of Climate and Human Factors on a Regional Heat Island in the Zhengzhou Metropolitan Area, China DOI
Xuning Qiao, Yalong Li, Yu Wang

и другие.

Опубликована: Янв. 1, 2023

The development of urbanization and the establishment metropolitan areas causes urban heat island to cross original single-city scale form a regional (RHI) with larger influence range. Due decreasing distance between cities, there is an urgent need reevaluate RHI for agglomerations, considering all cities instead conventional perspective. impact climatic conditions human factors on islands still lacks general method framework systematic evaluation, potential interaction unclear. Therefore, we used land night light data as background study diurnal seasonal changes in Zhengzhou area, China. Pearson correlation analysis random forest regression were then explore its internal relationship. We found that daytime had strong spatial heterogeneity differences from 2001 2020. was stronger than nighttime spring, summer, autumn, winter. From spring winter, increased first decreased during daytime, while opposite observed at night. Temperature dominant effect day, carbon dioxide There effects RHI, contributing more northern mountainous areas, greater main each location.

Язык: Английский

Analysis and Prediction of Land Use/Land Cover Changes in Korgalzhyn District, Kazakhstan DOI Creative Commons
Onggarbek Alipbeki,

Chaimgul Alipbekova,

Gauhar Mussaif

и другие.

Agronomy, Год журнала: 2024, Номер 14(2), С. 268 - 268

Опубликована: Янв. 25, 2024

Changes occurring because of human activity in protected natural places require constant monitoring land use (LU) structures. Therefore, Korgalzhyn District, which occupies part the State Natural Reserve territory, is considerable interest. The aim these studies was to analyze changes composition use/land cover (LULC) District from 2010 2021 and predict LU transformation by 2030 2050. Landsat image classification performed using Random Forest on Google Earth Engine. combined CA-ANN model used LULC 2050, were carried out MOLUSCE plugin. results showed that 2021, there a steady increase share ploughable an adequate reduction grassland. It established that, this trend will continue. At same time, be no drastic other classes. obtained can helpful for development management plans policies District.

Язык: Английский

Процитировано

8

Urban cemeteries: The forgotten but powerful cooling islands DOI Creative Commons
Britta Stumpe,

Niklas Stuhrmann,

Anna Jostmeier

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 934, С. 173167 - 173167

Опубликована: Май 16, 2024

Urban parks play a key role in UHI mitigation. However, the of other prominent types urban green infrastructure has not been comprehensively studied. Thus, main objective this study was to evaluate cemeteries and allotments as cooling islands compared well-studied park areas. We assessed LST cemeteries, based on Landsat 8 TM images across five largest German cities during summertime. Random forest regressions explain spatial variability different spaces (UGS) with spectral indices (NDVI, NDMI, NDBaI) well tree characteristics (tree type, age, trunk circumferences, height or canopy density). As result, were identified hottest UGS city means varying between 23.1 26.9 °C, since they contain relatively high proportion sealed surfaces. The allotment gardens best explained by NDVI indicating that fields higher percentage flowering shrubs trees reveal lower values than those covered annual crops. Interestingly, characterized coolest UGS, 20.4 24.7 °C. Despite their surfaces, are dominated old resulting intensive transpiration processes. Parks show heterogeneous patterns which could be systematically due functionality shape. Compared parks, tree-covered areas have potential cultural heritage sites well-protected allowing growth transpiration. These findings underline relevance deepen understanding process.

Язык: Английский

Процитировано

5

Design and Site-Related Factors Impacting the Cooling Performance of Urban Parks in Different Climate Zones: A Systematic Review DOI Creative Commons
Maryam Norouzi, Hing-Wah Chau, Elmira Jamei

и другие.

Land, Год журнала: 2024, Номер 13(12), С. 2175 - 2175

Опубликована: Дек. 13, 2024

As cities expand rapidly, the combined effects of urbanization, global warming, and intensification Urban Heat Island (UHI) phenomenon have become more challenging for urban environments. In response, Green Infrastructure (UGI) has gained attention as a practical effective tool mitigating UHI improving climate change. Among various UGIs, parks been subject numerous studies due to their proven ability reduce air surface temperatures, improve local microclimates, enhance overall livability. This systematic review synthesizes existing body research identify key factors that influence cooling performance parks. A total 131 peer-reviewed between 2014 2024 were analyzed, focusing on both design-related site-related play pivotal roles in park’s effectiveness. Design-related include park size, shape, vegetation density composition, presence water bodies, impervious surfaces while encompass background conditions, proximity natural configuration surrounding The findings reveal tree coverage, bodies are most influential enhancing performance. For factors, wind speed direction emerged critical components maximizing benefits. Research also showed can affect by influencing airflow patterns shading. Understanding these dynamics is crucial worldwide they strive design address specific environmental climatic challenges. this offer guidance landscape architects planners, enabling them deliver enhanced benefits, especially when face rising temperatures an increasing number heatwaves.

Язык: Английский

Процитировано

4

Urbanization’s impact on soil carbon DOI
Jessica Davies

Nature Climate Change, Год журнала: 2025, Номер unknown

Опубликована: Фев. 20, 2025

Язык: Английский

Процитировано

0

Integrating spatial analysis of land surface temperature and green space suitability: an advanced approach to urban and peri-urban planning DOI
Zahra Parvar, Marjan Mohammadzadeh, Sepideh Saeidi

и другие.

GeoJournal, Год журнала: 2025, Номер 90(2)

Опубликована: Март 18, 2025

Язык: Английский

Процитировано

0

Enhancing decision-making for climate change mitigation and sustainable urban growth DOI
Zahra Parvar, Marjan Mohammadzadeh, Sepideh Saeidi

и другие.

Urban Climate, Год журнала: 2024, Номер 58, С. 102223 - 102223

Опубликована: Ноя. 1, 2024

Язык: Английский

Процитировано

2

Assessment of Urban Local High-Temperature Disaster Risk and the Spatially Heterogeneous Impacts of Blue-Green Space DOI Creative Commons
Xinyu Zhang,

Ruihan Ye,

Xingyuan Fu

и другие.

Atmosphere, Год журнала: 2023, Номер 14(11), С. 1652 - 1652

Опубликована: Ноя. 3, 2023

Urban high-temperature disasters have gradually emerged as a significant threat to human society. Therefore, it is crucial assess and identify areas at risk of such implement urban planning measures aimed mitigating their impact. Additionally, multitude studies demonstrated the cooling effect blue-green spaces (UGBS), which play pivotal role in environments. Incorporating UBGS layout into evaluation processes has substantial potential for disasters. This paper presents construction set assessment disaster using structure specifically main area Harbin, China. We employed GIS multi-source remote sensing imagery develop local climate zone (LCZ) maps applicable designated study area. The differentiated impact factors on was determined multi-scale geographical weighted regression model (MGWR). results showed following: (a) There an overall low level, with 19.61% high-risk concentrated within second ring road, forming spatial pattern characterized by “one line, one cluster”. (b) building category LCZs generally higher than that natural LCZs. architectural could be summarized low-density being smaller high-density LCZs, except LCZ 5. mean value 2 5 types highest. (c) Through indicator screening, AREA_MN, SHAPE_MN, PD, NP were found determinants influencing risk, effectiveness differentiation these exhibited notable disparities. (d) By comparing different types, we concluded mitigation may interfered height (BH); positively BH; PD SHAPE_MN negatively BH. research provided new perspective practical scientific basis risk-mitigation based UBGSs under classification.

Язык: Английский

Процитировано

5

Remediation of Soils Polluted by Urban Settings DOI
Magdalena Sut‐Lohmann, Artur Pędziwiatr, Jerzy Jończak

и другие.

˜The œhandbook of environmental chemistry, Год журнала: 2024, Номер unknown, С. 97 - 132

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

1

Capability of the building-resolving PALM model system to capture micrometeorological characteristics of an urban environment in Vienna, Austria DOI Creative Commons
Brigitta Hollósi,

Maja Žuvela‐Aloise,

Anton Neureiter

и другие.

City and Environment Interactions, Год журнала: 2024, Номер 23, С. 100152 - 100152

Опубликована: Май 11, 2024

Understanding and evaluating possible changes in thermal conditions of urban settlements are crucial for risk assessment, adaptation to climate change sustainable development. This study presents the results a micro-scale measurement campaign conducted Vienna, Austria, investigate effects natural artificial surfaces on temperature humidity variability. The observational data set is used evaluation newly developed building-resolving model system PALM. Dragino LHT65 LoRaWAN air sensors were installed monitor local-scale variations. On selected summer days, drones equipped with imaging cameras provide hourly surface temperature. monitoring show higher temperatures near buildings overall strong spatial temporal demonstrates capability simulate main characteristics area, although it slightly overestimates at night. Compared measurements, has less pronounced variability relative humidity, but larger one analysis confirmed that potential appropriately assess microclimate therefore, contribute future-oriented planning.

Язык: Английский

Процитировано

1

A GIS-based framework to analyze the behavior of urban greenery during heatwaves using satellite raster data. DOI Open Access
Barbara Cardone, Ferdinando Di Martino,

Vittorio Miraglia

и другие.

Опубликована: Июль 16, 2024

In this work is proposed a new unsupervised method to evaluate the behavior of urban green areas in presence heatwave scenarios analyzing NDVI, NDMI and LST satellite data. To how these three indices characterize during periods heat waves, reclassification data raster each index carried out. Rather than using standard classifications indices, an classification approach that uses Elbow determine optimal number classes Jenks thematic method. Each class assigned Gaussian fuzzy set with means deviations equal associated class. The are classified zonal statistics operators degree membership corresponding used assess reliability classification. Finally, for type greenery frequencies belonging analyzed heatwaves. framework was tested area consisting city Naples (Italy). results show some types greenery, such as deciduous forests olive groves, not very vulnerable scenarios, unlike uncultivated which, instead, critical behaviors

Язык: Английский

Процитировано

1