Assessment and Prediction of Carbon Storage Based on Land Use/Land Cover Dynamics in the Tropics: A Case Study of Hainan Island, China

Land, Journal Year: 2022, Volume and Issue: 11(2), P. 244 - 244

Published: Feb. 6, 2022

Land use and land cover (LULC) change in tropical regions can cause huge amounts of carbon loss storage, thus significantly affecting the global climate. Due to differences natural social conditions between regions, it is necessary explore correlation mechanism LULC storage changes from a broader geographical perspective. This paper takes Hainan Island as research object, through integration CA-Markov Integrated Valuation Ecosystem Services Tradeoffs (InVEST) models, based on multi-source data, analyses dynamics 1992 2019 relationship two, predicts future under different scenarios. The results show that (1) built-up area expanded 103.59 km2 574.83 2019, an increase 454.91%; cropland shrubland decreased; forest increased. (2) Carbon showed upward trend during 1992–2000, downward 2000–2019. Overall, 1992–2019 reduced by about 1.50 Tg. (3) encroachment areas main reason for reduction storage. conversion driving force increasing decrease have obvious spatial clustering characteristics. (4) In simulation prediction, scenario (NT), priority (BP) ecological (EP) reduce Island, rate BP> NT > EP. (CP) maximum 2050 reach 0.79 supplements improves understanding provide guidance optimization structure with high economic development low-carbon

Language: Английский

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Using Remote Sensing to Quantify the Joint Effects of Climate and Land Use/Land Cover Changes on the Caatinga Biome of Northeast Brazilian

Remote Sensing, Journal Year: 2022, Volume and Issue: 14(8), P. 1911 - 1911

Published: April 15, 2022

Caatinga biome, located in the Brazilian semi-arid region, is most populous region world, causing intensification land degradation and loss of biodiversity over time. The main objective this paper to determine analyze changes cover use, time, on biophysical parameters biome Brazil using remote sensing. Landsat-8 images were used, along with Surface Energy Balance Algorithm for Land (SEBAL) Google Earth Engine platform, from 2013 2019, through spatiotemporal modeling vegetation indices, i.e., leaf area index (LAI) (VC). Moreover, surface temperature (LST) actual evapotranspiration (ETa) Petrolina, Brazil, was used. principal component analysis used select descriptive variables multiple regression predict ETa. results indicated significant effects use energy balances In 2013, 70.2% study composed Caatinga, while lowest percentages identified 2015 (67.8%) 2017 (68.7%). Rainfall records ranged 270 480 mm, values higher than 410 mm 46.5% area, concentrated northern part municipality. On other hand, annual rainfall (from 200 340 mm) occurred. Low rate observed by LAI VC values, a range 0 25% 52.3% which exposes dry season vegetation. highest LST mainly found urban areas and/or exposed soil. 40.5% region’s had between 48.0 52.0 °C, raising ETa rates (~4.7 day−1). Our model has shown good outcomes terms accuracy concordance (coefficient determination = 0.98, root mean square error 0.498, Lin’s correlation coefficient 0.907). increase agricultural resulted progressive reduction biome. Therefore, mitigation sustainable planning vital decrease impacts anthropic actions.

Language: Английский

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The role of blue green infrastructure in the urban thermal environment across seasons and local climate zones in East Africa

Sustainable Cities and Society, Journal Year: 2022, Volume and Issue: 80, P. 103798 - 103798

Published: Feb. 20, 2022

Language: Английский

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Monitoring the Dynamic Changes in Vegetation Cover Using Spatio-Temporal Remote Sensing Data from 1984 to 2020

Atmosphere, Journal Year: 2022, Volume and Issue: 13(10), P. 1609 - 1609

Published: Sept. 30, 2022

Anthropogenic activities and natural climate changes are the central driving forces of global ecosystems agriculture changes. Climate changes, such as rainfall temperature have had greatest impact on different types plant production around world. In present study, we investigated spatiotemporal variation major crops (cotton, rice, wheat, sugarcane) in District Vehari, Pakistan, from 1984 to 2020 using remote sensing (RS) technology. The crop identification was pre-processed ArcGIS software based Landsat images. After pre-processing, supervised classification used, which explains maximum likelihood (MLC) identify vegetation Our results showed that study area cultivated areas under wheat cotton decreased by almost 5.4% 9.1% 2020, respectively. Vegetated values NDVI (>0.4), built-up fewer (0 0.2) Vehari. During Rabi season, increased 19.93 °C 21.17 °C. average calculated at 34.28 35.54 during Kharif season negatively affects sugarcane, precipitation positively area. Accurate timely assessment estimation relation change can give very useful information for decision-makers, governments, planners formulating policies regarding management improving yields.

Language: Английский

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Response characteristics and influencing factors of carbon emissions and land surface temperature in Guangdong Province, China

Urban Climate, Journal Year: 2022, Volume and Issue: 46, P. 101330 - 101330

Published: Oct. 26, 2022

Language: Английский

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Identifying urban ventilation corridors through quantitative analysis of ventilation potential and wind characteristics

Building and Environment, Journal Year: 2022, Volume and Issue: 214, P. 108943 - 108943

Published: Feb. 26, 2022

Language: Английский

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Spatial Responses of Ecosystem Service Value during the Development of Urban Agglomerations

Land, Journal Year: 2022, Volume and Issue: 11(2), P. 165 - 165

Published: Jan. 20, 2022

This study analyzed data from 1995, 2005, and 2015 using mathematical calculations, spatial analysis, a geographically weighted regression model. The results showed that 1995 to 2015, the comprehensive regional development degree (RDD) of urban agglomeration in middle Jilin Province increased overall, with average RDD increasing 0.250 0.323 2015. Especially Changchun, sub-provincial city, by nearly one-third, gap between this other cities has been increasing. However, ecosystem service value (ESV) decreased ESV decreasing 108.3 105.4 strong correlation. maximum quantile southeast–northwest direction was 1.712, good homogeneity. influence coefficient on trend positive negative northwest–southeast direction. continuously while area gradually expanding, corresponding stressful effects ESV. can provide reference for planning as well encourage reasonable ensure sustainable agglomerations.

Language: Английский

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Multi-scale analysis of surface thermal environment in relation to urban form: A case study of the Guangdong-Hong Kong-Macao Greater Bay Area

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 99, P. 104953 - 104953

Published: Sept. 21, 2023

Language: Английский

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Exploring the seasonality of surface urban heat islands using enhanced land surface temperature in a semi-arid city

Urban Climate, Journal Year: 2023, Volume and Issue: 49, P. 101455 - 101455

Published: Feb. 22, 2023

Understanding the seasonal variations in surface urban heat island (SUHI) different local climate zones (LCZs) is crucial to efforts reduce impacts of warming on residents. However, such an understanding constrained by lack land temperatures (LSTs) at both high spatial and temporal resolutions. This study created time series LSTs fusing Landsat 8 satellite data gap-filled MODIS products further analyses SUHI seasonality a semi-arid city, Xi'an, China. The results showed that open building types were generally lower than those compact types. highest intensity (7.17 °C) was found 'compact mid-rise buildings' (LCZ2), whereas lowest (3.62 'open high-rise (LCZ4) July. peaked about 17–23 days later background LST. annual hysteresis cycles exhibited anti-clockwise concave-up pattern monsoon-influenced hot-summer humid continental (Dwa per Köppen-Geiger scheme). autumn higher spring under same These provide valuable information for developing mitigation strategies seasons.

Language: Английский

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Urban Heat Island Mitigation and Urban Green Spaces: Testing a Model in the City of Padova (Italy)

Land, Journal Year: 2023, Volume and Issue: 12(2), P. 476 - 476

Published: Feb. 15, 2023

The urban heat island (UHI) is a critical issue in most urbanised areas. Spatial variation of air temperature and humidity influences human thermal comfort, the settling rate atmospheric pollutants, energy demand for cooling. UHIs can be particularly harmful to health there are numerous studies that link mortality morbidity with extreme events, worsened by UHIs. difference between city centres surrounding countryside, which accentuated summer months at night, result not only greater production anthropogenic but mainly due properties surfaces. use vegetation, particular tree planting, one possible strategies contrast effects. In order analyse mitigation effects produced green spaces Padova, municipality northeast Italy, simulations variations their spatial distribution were carried out using i-Tree Cool Air model. High-resolution RGBir aerial photos processed produce canopy permeability map model was applied on 10 m × grid over entire city, producing raster aboveground temperatures. A hot July day recorded temperatures 35 °C 3 p.m. 28 reference weather station chosen test. daytime, results show differences up almost open impervious cover (squares, streets) areas under canopy. At simulated slightly cooler than those station, while sealed surfaces maintain 4.4 higher. study aimed testing applicability as tool predicting relation land cover. potentially used compare different forest greening planning scenarios, however, further research necessary assess reliability predictions.

Language: Английский

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