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

et al.

Published: Jan. 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.

Language: Английский

Ecosystem Services Provided by Urban Soils and Their Assessment: A Review DOI

К. С. Орлова,

I. Yu. Savin

Eurasian Soil Science, Journal Year: 2024, Volume and Issue: 57(6), P. 1072 - 1083

Published: June 1, 2024

Language: Английский

Citations

0
Enhancing Decision-Making for Climate Change Mitigation and Sustainable Urban Growth Using Sleuth and Landscape Metrics DOI
Zahra Parvar, Marjan Mohammadzadeh, Sepideh Saeidi

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

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

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 10, 2024

Abstract Sustainable urban development requires a comprehensive understanding of land surface temperature (LST) and the factors that influence it, especially in rapidly urbanizing areas. This study introduces an approach integrates Multi-Criteria Evaluation (MCE) with Geographically Weighted Regression (GWR) to enhance green space (GS) planning Bojnourd City, Iran. By merging these techniques, research identifies critical areas where high suitability for coincides LST hotspots, offering robust tool planners. mapping was conducted using radiative transfer equation (RTE) method Landsat 8 data. GS evaluated through MCE framework incorporating Linear Combination (WLC), fuzzy set analysis, Analytic Hierarchy Process (AHP), Zonal Land Suitability (ZLS) methods. The GWR model demonstrated superior predictive accuracy over Ordinary Least Squares (OLS) model, evidenced by higher R² lower AIC. combined analysis identified 255 hectares within city 4,393.9 expansion zones as prime locations spaces (UGS) peri-urban agriculture forestry (P-UGS) development. Overall, study's demonstrates valuable advancing management enhancing climate change adaptation strategies.

Language: Английский

Citations

0
A GIS-Based Framework to Analyze the Behavior of Urban Greenery During Heatwaves Using Satellite Data DOI Creative Commons
Barbara Cardone, Ferdinando Di Martino, Claudio Mauriello

et al.

ISPRS International Journal of Geo-Information, Journal Year: 2024, Volume and Issue: 13(11), P. 377 - 377

Published: Oct. 30, 2024

This work proposes a new unsupervised method to evaluate the behavior of urban green areas in presence heatwave scenarios by analyzing three indices extracted from satellite data: Normalized Difference Vegetation Index (NDVI), Moisture (NDMI), and Land Surface Temperature (LST). The aim this research is analyze vegetation types during heatwaves through analysis these indices. To how characterize heatwaves, an classification proposed that uses Elbow determine optimal number classes Jenks algorithm. Each class assigned Gaussian fuzzy set are classified using zonal statistics operators. membership degree corresponding calculated assess reliability classification. Finally, for each type greenery, frequencies belonging NDVI, NDMI, LST analyzed their heatwaves. framework was tested area consisting city Naples (Italy). results show some such as deciduous forests olive groves, more efficient, terms health status cooling effect, than other heatwaves; they with NDVI NDMI values mainly High Medium High, maximum Low. Conversely, uncultivated critical behaviors Low High. represent support planners local municipalities designing effective strategies nature-based solutions deal heat waves settlements.

Language: Английский

Citations

0
Rehabilitated Tailing Piles in the Metropolitan Ruhr Area (Germany) Identified as Green Cooling Islands and Explained by K-Mean Cluster and Random Forest Regression Analyses DOI Creative Commons
Britta Stumpe, Bernd Marschner

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(23), P. 4348 - 4348

Published: Nov. 21, 2024

Urban green spaces, such as parks, cemeteries, and allotment gardens provide important cooling functions for mitigating the urban heat island (UHI) effect. In densely populated Ruhr Area (Germany), rehabilitated tailing piles (TPs), relicts of coal-mining history, are widespread hill-shaped landscape forms mainly used local recreation. Their potential role islands has never been analyzed systematically. Therefore, this study aimed at investigating TP surface compared to other spaces (UGSs). We factors controlling piles’ summer land temperature (LST) patterns using k-mean clustering random forest regression modeling. Generally, mean LST values TPs were comparable those UGSs in region. Indices describing vegetation moisture (NDMI), vitality (NDVI), height (VH) found control pattern during summer. The index soil (TVDI) was directly related VH, with highest on north northeast-facing slopes lowest south southeast expositions. Terrain attributes altitude, slope, aspect, curvature minor relevance that context, except exceeding heights 125 m. conclusion, we advise planners maintain improve benefit UHI mitigation. As one measure, soil’s water-holding capacity could be increased through thicker covers or additives mine rehabilitation, especially

Language: Английский

Citations

0
Ecosystem Services Provided by Urban Soils and Their Assessment: a Review DOI

К. С. Орлова,

I. Yu. Savin

Почвоведение, Journal Year: 2024, Volume and Issue: 6, P. 889 - 902

Published: Dec. 19, 2024

The history of the development concept urban soil services, their current list, anthropocentric and pedocentric approaches to assessment, experience application in various cities are considered. At present, ecosystem services is a comprehensive tool that allows, by analogy, translate information into sphere management decision-making, as well maintain sustainability ecosystems introducing measures preserve services. Despite accumulated methods for assessing examples planning individual cities, there no unified approach soils. widespread this often hampered insufficient knowledge properties soils with high spatiotemporal variability, itself However, active theoretical practical integrating about characteristics prerequisite optimizing system resource towns.

Language: Английский

Citations

0
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

et al.

Published: Jan. 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.

Language: Английский

Citations

0