Development of Inherent Vulnerability Index within Jammu Municipal Limits, India DOI Open Access

Simran Bharti,

Adyan Ul Haq,

L. T. Sasang Guite

и другие.

Climate, Год журнала: 2024, Номер 12(1), С. 12 - 12

Опубликована: Янв. 22, 2024

Evaluating inherent vulnerability, an intrinsic characteristic becomes imperative for the formulation of adaptation strategies, particularly in highly complex and vulnerable regions Himalayas. Jammu City, situated north-western Himalayas within a transitional zone between Himalayan range plains, is not only susceptible to intense seismic activities but also faces multiple hazards, including floods, earthquakes, avalanches, landslides. In recent years, region has experienced growth population with rapid progress infrastructure development, encompassing construction highways, dams, tunnels as integral components urban development initiatives. Therefore, this study been conducted assess vulnerability index (VI) City at ward level function sensitivity, adaptive capacity, exposure, using ecological social indicators GIS environment. The primary objective was identify most area ascertain corresponding municipal ward, aiming formulate comprehensive ranking. 22 analysed were from four major components, namely social, infrastructure, technological, ecological. like Land Surface Temperature (LST), Normalized Difference Vegetation Index (NDVI), use/Land cover derived Landsat 8 OLI satellite data. results show that majority city falls into moderate (20%), high (25.49%), very (25.17%) categories, respectively, clustered south-western transects densely populated residential areas. can assist policymakers identification focused resource management formulating strategies address current stressors region.

Язык: Английский

Assessment of urban thermal field variance index and thermal comfort level of Addis Ababa metropolitan city, Ethiopia DOI Creative Commons
Mitiku Badasa Moisa, Dessalegn Obsi Gemeda

Heliyon, Год журнала: 2022, Номер 8(8), С. e10185 - e10185

Опубликована: Авг. 1, 2022

Land use land cover (LULC) conversion around urban areas is the root cause for increasing trend of surface temperature (LST) in many cities. The increase LST driven by replacement vegetation and other LULC impervious surface. This study aimed to assess extent thermal field variance index (UTFVI) comfort level Addis Ababa city using geospatial techniques linear regression model. Landsat image 1990 TM, 2000 ETM+ 2020 OLI/TIRS are used analyze Urban Heat Islands (UHI) assessing UTFVI level. results showed that UHI over substantial increased past decades. reveled has 7.9 °C due decline expansion built-up area. Results show about 225 km2 (42.7%) excellent resident while 241.4 (45.8%) categorized as worst ecological evaluation index, which discomfort dwellers. key findings from this crucial informing administrators planners reduce heat islands investing on green open spaces.

Язык: Английский

Процитировано

29
The relationship between land use land cover and land surface temperature using remote sensing: systematic reviews of studies globally over the past 5 years DOI
Worku Nega, Abel Balew

Environmental Science and Pollution Research, Год журнала: 2022, Номер 29(28), С. 42493 - 42508

Опубликована: Апрель 2, 2022

Язык: Английский

Процитировано

28
Spatio-temporal analysis of land use land cover change and its impact on land surface temperature of Sialkot City, Pakistan DOI Creative Commons

Kainat Javaid,

Gul Zareen Ghafoor, Faiza Sharif

и другие.

Scientific Reports, Год журнала: 2023, Номер 13(1)

Опубликована: Дек. 13, 2023

Abstract The dynamic interplay between urbanization and its impacts on climate is a subject of recent concern, particularly in rapidly urbanizing cities Pakistan. This research investigated the spatio-temporal effects urban growth terms Land Use Cover changes thermal environment (Land Surface Temperature) Sialkot city, Pakistan using satellite data spanning four distinct time periods (1989, 2000, 2009 2020) predicted for year 2030 by employing Cellular Automata Markov Chain Model. Satellite imagery (Landsat 5, 7 8) was processed, maximum likelihood supervised classification done to generate LULC maps each aforementioned years. In addition classification, bands (for summer winter) were processed compute Temperature (LST) city. prediction LST accuracy classified checked Kappa Index. analysis revealed 4.14% increase built-up area 3.43% decrease vegetation cover city during 1989 2020. Both land covers are expected change future (year 2030) + 1.31% (built-up) − 1.1% (vegetation). Furthermore, declining trend barren water bodies also observed over time. These found affecting study area. transformation into resulted an A notable rise 4.5 °C (summer) 5.7 (winter) mean 2020 further increases anticipated 2030. calls attention policy makers reduce human impact local will help developers analyzing population trend, finding suitable location built new infrastructure governmental authorities how rising temperature can affect energy demand agriculture production future.

Язык: Английский

Процитировано

14
Deep learning for the prediction and classification of land use and land cover changes using deep convolutional neural network DOI

J. Jagannathan,

C. Divya

Ecological Informatics, Год журнала: 2021, Номер 65, С. 101412 - 101412

Опубликована: Авг. 24, 2021

Язык: Английский

Процитировано

32
Detection of land use/land cover and land surface temperature change in the Suha Watershed, North-Western highlands of Ethiopia DOI Creative Commons

Nigussie Yeneneh,

Eyasu Elias, Gudina Legese Feyisa

и другие.

Environmental Challenges, Год журнала: 2022, Номер 7, С. 100523 - 100523

Опубликована: Апрель 1, 2022

Human-induced land use cover changes resulted in adverse impacts on the environment at various spatial and temporal scales. The Highland regions of Ethiopia are typical examples these phenomena. objective this study was to analyze spatiotemporal use/ their surface temperature suha watershed, northwestern highlands Ethiopia. Multi-temporal Landsat images (1985–2019) were used LU/LC LST using GIS remote sensing techniques. Image preprocessing, supervised classification, accuracy assessment, change detection conducted identify classes, area coverage, transitions. Thermal bands satellite also extract LST. Significant use/land (spatial temporal) observed watershed during periods. Agricultural has got largest proportion all barren built expanded greatly 35 years period. increased by 15417.6 ha (34.8%) bare 5297.2 (373.6%). However, grazing shrub lands reduced by18568.4 (72.1%) 3544.2 (47.6%), respectively. Spatial variation same highest mean values found impervious surfaces (built-up areas land), lowest recorded forest land. A negative correlation between NDVI. Undesirable put greater pressure environmental resources, resulting an effect them. Therefore, reverse situation create a balanced ecosystem, management strategies should be applied that mainly focus soil conservation technologies steep slope areas, improve afforestation apply proper land-use policies. outcomes research useful designing implementing appropriate can address critical social problems. It provides new knowledge helps us better understand

Язык: Английский

Процитировано

20
Spatio-temporal pattern of land use and land cover and its effects on land surface temperature using remote sensing and GIS techniques: a case study of Bhubaneswar city, Eastern India (1991–2021) DOI
Tapas Das, Antu Jana, Biswajit Mandal

и другие.

GeoJournal, Год журнала: 2021, Номер 87(S4), С. 765 - 795

Опубликована: Ноя. 15, 2021

Язык: Английский

Процитировано

26
Identifying Urban Hotspots and Cold Spots in Delhi Using the Biophysical Landscape Framework DOI Creative Commons
Rupesh Kumar Gupta

Ecology Economy and Society–the INSEE Journal, Год журнала: 2024, Номер 7(1), С. 137 - 155

Опубликована: Янв. 23, 2024

Urban heat islands (UHIs), which are formed by biophysical landscape transformations, have significant adverse effects on environmental quality as well human health, resources, and facilities. Variations in UHI intensity give rise to urban hotspots (UHSs) cold spots different parts of the city. This study identifies such Delhi classifying city into zones intensities using landscapes. The data selected landscapes were obtained from satellite images secondary sources. impact was calculated weighted overlay method performed ArcGIS software. thus divided four zones, based intensity. It found that UHSs cover about 45% total area mostly located eastern central Delhi. While built-up areas form major source landscape, vegetation is sink per land surface temperature (LST) findings this will help planners policymakers identify adopt suitable policies measures mitigate UHIs zones.

Язык: Английский

Процитировано

4
An integrated and multidimensional approach for analyzing vulnerability of water resources under territorial climate conditions DOI Creative Commons
Manal El Garouani, Hassan Radoine,

Aberrahim Lahrach

и другие.

Environmental and Sustainability Indicators, Год журнала: 2024, Номер 22, С. 100383 - 100383

Опубликована: Апрель 5, 2024

Several factors comprising climate variability, increasing water demand, and agricultural industrial activities, have put pressure on resources, making them more vulnerable, compromising quality. The present study uses geographic information system (GIS) to develop a multidimensional index of territorial vulnerability scarcity variability in the Saïss plain, Morocco. main objective is identify most vulnerable areas basin. In this approach, conceptual framework consists integrated analysis, based four components (Resources, Socio-demographic, Environment Infrastructure) 21 indicators. Two government agencies, namely, Agence du Bassin Hydraulique Sebou Haut-Commissariat au Plan Maroc are primary sources data for study. An aggregation method was used produce each component, as well overall index. A spatial assessment carried out very high within area, requiring priority intervention. findings indicated that degree 51% communes area low low, 25% moderate, while 23% level vulnerability. According geographical distribution vulnerability, rural communities northeast northwest than those center south. Based mapping resources change human Saiss mitigation adaptation measures proposed mitigate risks associated with conditions scarcity.

Язык: Английский

Процитировано

4
Thirty Years of Land Use/Land Cover Changes and Their Impact on Urban Climate: A Study of Kano Metropolis, Nigeria DOI Creative Commons
Auwalu Faisal Koko, Yue Wu, Ghali Abdullahi Abubakar

и другие.

Land, Год журнала: 2021, Номер 10(11), С. 1106 - 1106

Опубликована: Окт. 20, 2021

Rapid urban expansion and the alteration of global land use/land cover (LULC) patterns have contributed substantially to modification climate, due variations in Land Surface Temperature (LST). In this study, LULC change dynamics Kano metropolis, Nigeria, were analysed over last three decades, i.e., 1990–2020, using multispectral satellite data understand impact urbanization on LST study area. The Maximum Likelihood classification method Mono-window algorithm utilised classifying uses retrieving data. Spectral indices comprising Normalized Difference Vegetation Index (NDVI) Built-up (NDBI) also computed. A linear regression analysis was employed order examine correlation between surface temperature various spectral indices. results indicate significant changes 152.55 sq. km from 1991 2020. During period, city’s barren water bodies declined by approximately 172.58 26.55 km, respectively, while vegetation increased slightly 46.58 km. Further showed a negative NDVI with Pearson determination coefficient (R2) 0.6145, 0.5644, 0.5402, 0.5184 1991, 2000, 2010, 2020 respectively. NDBI correlated positively LST, having an R2 0.4132 0.3965 0.3907 0.3300 findings provide critical climatic useful policy- decision-makers optimizing use mitigating heat through sustainable development.

Язык: Английский

Процитировано

21
Assessment of Landscape Change and its Relationships with Surface Temperature and Geo-spatial Indices during 1992 - 2022 at Haldia Industrial Region, West Bengal, India DOI Open Access

Shyampada Karan,

Swati Mandal,

Suman Das

и другие.

Knowledge-Based Engineering and Sciences, Год журнала: 2024, Номер 5(2), С. 54 - 74

Опубликована: Авг. 31, 2024

Unplanned local development and alterations in Land Use Cover (LULC) are an early alert for towns cities around the world. The population pressure has resulted conversion of natural land into impermeable areas, which altered surface energy budget created microclimatic differences locally. main objective present study is to estimate LULC changes its relation increases Surface Temperature (LST) Haldia Industrial Region (HIR) West Bengal using multi-temporal Landsat 5 Thematic Mapper (TM) 1992 8 Operational Imager (OLI) 2022 with 30-m spatial resolution images were obtained from USGS website. supervised classification method was applied by Maximum Likelihood (MLC) classify satellite various classes such as settlement, waterbody, vegetation, agriculture land, fallow respectively. result suggested overall increase settlement area 13.49 km2 44.54 2022. On other hand, decreased 214.26 152.34 due fast urbanization, decline green lands, expansion barren lands. outcome LST exhibited that value increased 3.77°C during this area. Normalized Difference Vegetation Index (NDVI) showed a strong negative relationship determination coefficient (R2) values found 0.491 (1992) 0.356 (2022). positive between Water (NDWI) 0.0002 (1992), 0.0417 R2 estimated 0.174 0.0347 (2022) Built-up (NDBI) indicated coefficient. findings enhanced understanding urban developing inclusive climate resilience policy making HIR more sustainable effects change.

Язык: Английский

Процитировано

3