Publications
Publication date: 2021/8/1
Journal: Environmental Challenges
Volume: 4
Pages: 100192
Publisher: Elsevier
Description:
Climate change is occurring because of an increase in greenhouse gases such as carbon dioxide, methane, and others, which act as a partial blanket for the planet and store solar energy radiation, resulting an increase in land surface temperature (LST). Cities that are already suffering from the urban heat island (UHI) effect , which will withstand the worst of these more extreme heat events. The extent of the impermeable layer and changes in LST are inextricably linked to the severity and commencement of UHI events, which can be measured using the urban thermal field variance index (UTFVI). Land use/Land cover (LULC) change was assessed using support vector machine (SVM) supervised classification, seasonal (summer and winter) LST, and UTFVI variations from Landsat 4–5 TM and Landsat 8 OLI satellite images for the years 2000, 2010, and 2020. Furthermore, in Dhaka, Bangladesh, the cellular …
Publication date: 2022/11/1
Journal: Sustainable Cities and Society
Volume: 86
Pages: 104107
Publisher: Elsevier
Description:
Rapid urbanization owing to population growth and economic development has made thermal environment-related studies increasingly prominent. This study aims to monitor and predict the changes in land use/land cover (LULC) and their impacts on land surface temperature (LST), urban heat island (UHI), and urban thermal field variance Index (UTFVI) in Kuwait from 1991 to 2021 for the very first time. Support Vector Machine (SVM) and Artificial Neural Network (ANN)machine learning algorithms were used to analyze and predict, respectively, using Landsat 4-5 and 8 images from 1991 to 2021 at 10 years interval. Results illustrated transformation of 27.24% bare land and 5.43% vegetation into the built-up area increased the mean LST by 5°C, resulting in an upsurge of UHI values by 0.861 and the strongest UFTVI effects by 108% from 1991 to2021. Predicted LULC, LST, UHI and UTFVI distribution modelled …
Resilience for disaster management: opportunities and challenges
Publication date: 2021
Source
Climate vulnerability and resilience in the global south: human adaptations for sustainable futures
Pages: 425-442
Publisher: Springer International Publishing
Description
The notion of resilience is commonly used in the field of disaster management (DM) and disaster risk reduction. Disaster adaptation, coping and mitigation are key elements of disaster resilience that enhances the ability of a social system to mitigate the effects of adverse events. This chapter, however, addresses resilience as the leading concept in DM science. It also offers an overview of emerging uses and possibilities for DM and obstacles to the idea of resilience. The research performed a synthesis assessment with orderly review of 38 academic publications of disaster resilience since 2010–2020. It integrates previous research works and focuses on the recent state of benefits of resilience in DM. To explain the opportunities and challenges of resilience for DM, the key findings drawn from each article on resilience, disaster management, disaster resilience challenges, resilience opportunities, disaster
Publication date: 2022
Journal: International Journal of Ecology
Volume: 2022
Issue: 1
Pages: 9585552
Publisher: Hindawi
Description
Rangeland resources of the Bale lowlands have been degraded due to climate change, human factors, lack of sufficient environmental and rangeland policies, disaster mitigation strategies, and good management. The study identified suitable rangeland for cattle, sheep, goat, and camel production in the Bale lowlands using GIS‐Based Multicriteria Decision Analysis and remote sensing techniques. Land‐use and land‐cover, rainfall, water accessibility, slope, and soil types were used for the suitability analysis. The study showed that an area of 4112, 16311, 6643, and 9820 km2 was highly suitable for cattle, sheep, goats, and camels, respectively. The results of the study also indicated that an area of 40099, 30925, 41981, and 36802 km2 was moderately suitable for cattle, sheep, goats, and camels, respectively. In addition, an area of 7644, 4671, 3630, and 5632 km2 was marginally suitable for cattle, sheep
Publication date: 2023/4/17
Journal: INTERNATIONAL JOURNAL OF DIGITAL EARTH2023
Volume: 16
Issue NO. 1
Pages: 1300–1331
Publisher: Taylor and Francis
Description
Data processing and climate characterisation to study its impact is becoming difficult due to insufficient and unavailable data, especially in developing countries. Understanding climate’s impact on burnt areas in Ghana (Guinea-savannah (GSZ) and Forest-savannah Mosaic zones (FSZ)) leads us to opt for machine learning. Through Google Earth Engine (GEE), rainfall (PR), maximum temperature (Tmax), minimum temperature (Tmin), average temperature (Tmean), Palmer Drought Severity Index (PDSI), relative humidity (RH), wind speed (WS), soil moisture (SM), actual evapotranspiration (ETA) and reference evapotranspiration (ETR) have been acquired through CHIRPS (Climate Hazards group Infrared Precipitation with Stations), FLDAS dataset (Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System) and TerraClimate platform from 1991 to 2021.
Publication date:2022
Journal: Environmental Sciences Proceedings
Volume: 19
Issue: 1
Pages: 37
Publisher: Multidisciplinary Digital Publishing Institute
Description
Growing evidence has shown that rapid development and urbanization have been associated with the alteration of the thermal environment of the urban area. The massive burning of fossil fuels in the transportation, urban, and industrial sectors results in increased temperatures and a deterioration of air quality as a result of carbon emissions. However, the COVID-19-induced lockdown situation resulted in the shutdown of industries, transportation systems, and day-to-day regular operations and changes in air quality and weather. The reduction in the number of running cars and moving people on the road during the lockdown time reduced pollutants and had a direct beneficial effect on the urban environment. The present study examines the changes in land surface temperature (LST) and the normalized difference vegetation index (NDVI) during the lockdown period in Dhaka City, Bangladesh in the earlier periods …
Journal: Frontiers in Public Health
Volume: 12
Pages:1334425
Publisher:Frontiers
Description
The COVID-19 pandemic has had a significant impact on mental health globally, with limited access to mental health care affecting low- and middle-income countries (LMICs) the most. In response, alternative strategies to support mental health have been necessary, with access to green spaces being a potential solution. While studies have highlighted the role of green spaces in promoting mental health during pandemic lockdowns, few studies have focused on the role of green spaces in mental health recovery after lockdowns. This study investigated changes in green space access and associations with mental health recovery in Bangladesh and Egypt across the pandemic