Contribution of urban functional zones to the spatial distribution of urban thermal environment

Building and Environment, Journal Year: 2022, Volume and Issue: 216, P. 109000 - 109000

Published: March 21, 2022

Language: Английский

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Spatiotemporal Variation in Land Use Land Cover in the Response to Local Climate Change Using Multispectral Remote Sensing Data

Land, Journal Year: 2022, Volume and Issue: 11(5), P. 595 - 595

Published: April 19, 2022

Climate change is likely to have serious social, economic, and environmental impacts on farmers whose subsistence depends nature. Land Use Cover (LULC) changes were examined as a significant tool for assessing at diverse temporal spatial scales. Normalized Difference Vegetation Index (NDVI) has the potential ability signify vegetation structures of various eco-regions provide valuable information remote sensing in studying phenology cycles. In this study, we used Geographical Information System (GIS) techniques with Maximum Likelihood Classification (MLC) identify LULC 40 years Sahiwal District. Later, conducted 120 questionnaires administered local which correlate climate NDVI. The maps prepared using MLC training sites 1981, 2001, 2021. Regression analysis (R2) was performed relationship between temperature cover study area. Results indicate that build-up area increased from 7203.76 ha (2.25%) 31,081.3 (9.70%), while decreased by 14,427.1 (4.5%) 1981 2021 mean NDVI values showed overall 0.24 0.20 Almost 78% stated been changing during last few years, 72% had affected agriculture, 53% thought rainfall intensity also decreased. R2 tendency negatively connected each other. This will integrate apply best most suitable methods, tools, approaches equitable adaptation governance agricultural systems conditions. Therefore, research outcome meaningfully help policymakers urban planners sustainable management strategies level.

Language: Английский

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Morphological and functional polycentric structure assessment of megacity: An integrated approach with spatial distribution and interaction

Sustainable Cities and Society, Journal Year: 2022, Volume and Issue: 80, P. 103800 - 103800

Published: Feb. 23, 2022

Language: Английский

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The roles of surrounding 2D/3D landscapes in park cooling effect: Analysis from extreme hot and normal weather perspectives

Building and Environment, Journal Year: 2023, Volume and Issue: 231, P. 110053 - 110053

Published: Jan. 30, 2023

Language: Английский

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Exploring non-linear and synergistic effects of green spaces on active travel using crowdsourced data and interpretable machine learning

Travel Behaviour and Society, Journal Year: 2023, Volume and Issue: 34, P. 100673 - 100673

Published: Sept. 9, 2023

Language: Английский

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Satellite-Derived Land Surface Temperature Dynamics in the Context of Global Change—A Review

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(7), P. 1857 - 1857

Published: March 30, 2023

Satellite-derived Land Surface Temperature (LST) dynamics have been increasingly used to study various geophysical processes. This review provides an extensive overview of the applications LST in context global change. By filtering a selection relevant keywords, total 164 articles from 14 international journals published during last two decades were analyzed based on location, research topic, applied sensor, spatio-temporal resolution and scale employed analysis methods. It was revealed that China USA most studied countries those had first author affiliations. The prominent topic Urban Heat Island (SUHI), while topics related climate change underrepresented. MODIS by far sensor system, followed Landsat. A relatively small number studies or continental scale. use highly determined periods: majority started around year 2000 thus period shorter than 25 years. following suggestions made increase utilization time series research: prolongation by, e.g., using AVHRR LST, better representation under clouds, comparison traditional measures, such as air temperature reanalysis variables, extension validation heterogenous sites.

Language: Английский

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Assessment and prediction of carbon storage based on land use/land cover dynamics in the coastal area of Shandong Province

Ecological Indicators, Journal Year: 2023, Volume and Issue: 153, P. 110474 - 110474

Published: June 10, 2023

Changes in land use and cover (LULC) promote regional carbon storage capacity or trigger depletion, which turn exhibited significant impact on global climate change. Understanding the impacts of LULC changes coastal areas plays a critical role conservation ecosystems sustainable socio-economic development. The present study acted area Shandong Province as an example to analyze relationship between combined with Integrated Valuation Ecosystem Services Tradeoffs (InVEST) Patch-generating Land Use Simulation (PLUS) model. We further predicted variation through change types under three scenarios 2030. Our results showed that cropland (which decreased by 9.41%) built-up increased 7.66%) underwent most over past 20 years, while forest, grassland, wetland, water bare less changes. As dominant type, was also important pool medium storage. Areas high were distributed mountains hills, where main grassland forest. In addition, wetland located Yellow River Delta stores large amounts carbon. Accordingly, low widely urban metropolitan regions. pinpointed lost 47.96×106Mg due increasing decreasing ecological protection measures would effectively enhance Specifically, could be 6.64×106Mg when conversion cropland, forest into reduced 20% 30% (under priority scenario (EP)). believe valid reference for administrators develop policies more reasonable planning development achieve peaking neutrality ("Dual Carbon" goals).

Language: Английский

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How does urban thermal environmental factors impact diurnal cycle of land surface temperature? A multi-dimensional and multi-granularity perspective

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 101, P. 105190 - 105190

Published: Jan. 10, 2024

Language: Английский

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Day and night: Impact of 2D/3D urban features on land surface temperature and their spatiotemporal non-stationary relationships in urban building spaces

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 108, P. 105507 - 105507

Published: May 6, 2024

Language: Английский

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Simulating the Relationship between Land Use/Cover Change and Urban Thermal Environment Using Machine Learning Algorithms in Wuhan City, China

Land, Journal Year: 2021, Volume and Issue: 11(1), P. 14 - 14

Published: Dec. 22, 2021

The changes of land use/land cover (LULC) are important factor affecting the intensity urban heat island (UHI) effect. Based on Landsat image data Wuhan, this paper uses cellular automata (CA) and artificial neural network (ANN) to predict future in LULC LST. results show that built-up area Wuhan has expanded, reaching 511.51 545.28 km2, while vegetation, water bodies bare will decrease varying degrees 2030 2040. If continues expand rapidly, proportion 30~35 °C rise 52.925% 55.219%, affected with temperature >35 15.264 33.612 respectively. direction expansion range LST is obviously similar area. In order control alleviate UHI, rapid impervious layers (built-up areas) should be avoided greatest extent, city’s “green development” strategy implemented.

Language: Английский

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