Urban expansion impacts on agricultural land and thermal environment in Larkana, Pakistan

Frontiers in Environmental Science, Journal Year: 2023, Volume and Issue: 11

Published: March 21, 2023

Urban area expansion and the increase in built-up are major threats to agriculture, natural environment, ecology throughout world. The population of city Larkana is rapidly increasing due growth uncontrolled migration from surrounding areas, which have resulted a haphazard over fertile agricultural land affected city’s thermal environment. This research aims evaluate impacts urban on environment study by assessing change use/ cover (LULC) 1990 2020 surface temperature (LST). For this purpose, Random Forest (RF) algorithm was applied, LST calculated Google Earth Engine (GEE) using Landsat imageries for years 1990, 2000, 2010, 2020. RF classifier algorithm, 3500 reference random points were generated each year, then randomly divided into two datasets, i.e., training sample consisting 70% validation dataset (30% points). After LULC classification, results validated 2020, accuracy 88.3%, 89%, 90.01%, 90.8%, respectively. showed that increased 12.31 43.83 km 2 while barren region decreased 56.51 11.62 . 66.66 expanded 101.38 , 79.49 also revealed most last decade (2010-2020) took place land. gradual temperatur,e as recorded results. maximum 33.4°C 36.1°C similarly, minimum 25.1°C, 26.6°C provides useful stakeholders devise better policies plans control further area.

Language: Английский

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“Investigating and mapping day-night urban heat island and its driving factors using Sentinel/MODIS data and Google Earth Engine. Case study: Greater Cairo, Egypt”

Urban Climate, Journal Year: 2023, Volume and Issue: 52, P. 101729 - 101729

Published: Oct. 27, 2023

Language: Английский

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Analysis of Heat Mitigation Capacity in a Coastal City using InVEST Urban Cooling Model

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 113, P. 105669 - 105669

Published: July 15, 2024

Language: Английский

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Predicting the impacts of urban development on seasonal urban thermal environment in Guwahati city, northeast India

Building and Environment, Journal Year: 2022, Volume and Issue: 226, P. 109724 - 109724

Published: Oct. 20, 2022

Language: Английский

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Urbanization influenced SUHI Of 41 megacities of the world using big geospatial data assisted with google earth engine

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 101, P. 105095 - 105095

Published: Dec. 3, 2023

Language: Английский

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FLUS Based Modeling of the Urban LULC in Arid and Semi-Arid Region of Northwest China: A Case Study of Urumqi City

Sustainability, Journal Year: 2023, Volume and Issue: 15(6), P. 4912 - 4912

Published: March 9, 2023

Modeling land use and cover (LULC) change is important for understanding its spatiotemporal trends plays a crucial role in planning natural resources management. To this end, study assessed the characteristics of LULC changes Urumqi city between 1980 2020. In addition, future was successfully projected 2030 2050 under different scenarios based on FLUS model. This model validated using actual simulated data The kappa coefficient figure merit simulation results 2020 were 0.87 0.114, respectively, indicating that accuracy satisfactory. demonstrated grassland major type, with area accounting more than 50% area. From to 2020, urban greatly expanded, while decreased significantly. Urban increased from 353.51 km2 884.27 km2, 7903.4 7414.92 significant transitions mainly occurred grasslands, cultivated lands lands. Grassland converted into land, resulting rapid expansion over last 40 years. 1990 2000, an 341.08 km2. Finally, showed expected increase all three scenarios, forest are effectively protected Cultivated Land Protection Scenario (CPS) Ecological (EPS) compared Baseline (BLS). 2035 City arid semi-arid regions northwest China model, which has not been investigated previous studies.

Language: Английский

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Impacts of spatial explanatory variables on surface urban heat island intensity between urban and suburban regions in China

International Journal of Digital Earth, Journal Year: 2024, Volume and Issue: 17(1)

Published: Jan. 16, 2024

The intensified thermal environment in suburban areas is raising wide concerns for human society and public health due to rapid urbanization. Although the satellite-derived surface urban heat island intensity (SUHII) a commonly used indicator, it still needs be determined SUHII between challenges delineating their boundaries with changes. Thus, comprehensive analysis of spatial explanatory variables (SEVs) among highly needed. Here, using long-term satellite observations, we analyzed spatiotemporal patterns different temporal intervals (i.e. seasonal diurnal) contribution SEVs areas. Our results indicate that shows predominantly increasing trend from 2012–2021 cities China. Despite trends increasing/decreasing) being relatively consistent both suburban, latter higher proportion regarding various SEVs. Besides, partial least squares regression (PLSR) model major contributors are landscape shape index (LSI), patch density (PD), digital elevation (DEM), while areas, those critical LSI, normalized difference built-up (NDBI), DEM. These findings can facilitate sustainable design planning nature-based solution.

Language: Английский

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Contrary to expectation: The surface urban heat island intensity is increasing in population shrinking region while decreasing in population growing region-A comparative analysis from China

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(3), P. e0300635 - e0300635

Published: March 18, 2024

Exploring the complex relationship between population change and surface urban heat island (SUHI) effect has important practical significance for ecological transformation development of shrinking cities in context prevalence shrinkage global climate change. This paper compares SUHI region (Northeast Region, NR) growing (Yangtze River Delta, YRD) China, explores their differences driving mechanisms, using GIS spatial analysis Geodetector model. Our results indicated that there are significant changes intensity these two regions. About 72.22% NR were shrinking, while intensities increased by an average 1.69°C. On contrary, YRD shows a linear growth trend, decreased 0.11°C on average. The bivariate Moran’s I index also correlation not above Furthermore, primary drivers variations In NR, underlying changes, including green coverage built-up areas, most factors. However, atmospheric environment such as carbon dioxide emission sulfur emission, key YRD. Northam’s theory three-stage urbanization environmental Kuznets curve hypothesis powerful to explain differences.

Language: Английский

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Influence of urban functional zone change on land surface temperature using multi-source geospatial data: A case study in Nanjing City, China

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 105874 - 105874

Published: Oct. 1, 2024

Language: Английский

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Research Progress and Hotspot Analysis of Urban Heat Island Effects Based on Cite Space Analysis

Land, Journal Year: 2023, Volume and Issue: 12(6), P. 1154 - 1154

Published: May 31, 2023

The urban heat island (UHI) effect has become a hot topic in the global ecological environment. Research on UHI is of great significance for alleviating environmental problems. Therefore, it attracted extensive attention large number researchers field issues, such as ecologists, climatologists, planners, geographers, relevant policy makers, etc. However, systematic reviews are lacking research context rapid urbanization and change recent years. In this study, we used Cite Space software to analyze development process current situation from multiple perspectives during 2008–2021, aiming reveal hotspots predict future trends. We found that gradually multidisciplinary field, existed flourishing period since 2008 with publications. A amount been carried out by institutions scholars 85 countries 2021. hotspot frontier focuses influencing factors, mitigation measures, quantitative analysis effect. Based these trends status proposed further directions promote interdisciplinary integration, optimize monitoring methods, strengthen impact three-dimensional landscape vegetation patterns, expand study agglomeration scale. Our results provide valuable reference potential

Language: Английский

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