The flows of ecosystem services (ESs) from ecological patches (EPs) are being severely challenged... more The flows of ecosystem services (ESs) from ecological patches (EPs) are being severely challenged due to global change. However, the evaluation of nexus between tribal society and ecological units with focus of tribal livelihood was not a subject of enquiry until recent past. Present study hypothesized that the different EPs has differential nexus in terms of delivery of ESs in Barind region, Eastern India. Dependency and prominence of l livelihood on ESs was evaluated through developing ES dependency index (ESDI) and ecosystem services prominence index (ESPI). Five sub-components (comprising 25 indicators) and ten dominant provisioning ecosystem services (PES) were considered to develop ESDI and ESPI respectively. The seasonal variations of availability of ESs from EPs were also assessed-based five-point Likert scale. The findings of the study showed that (i) the households were highly dependent on PES for their livelihood strategies; (ii) agricultural crops (main foods), housing materials, fuel woods, water, livestock, and medical plants were the dominant ESs; (iii) forests, agricultural lands, water bodies, and homesteads were the main EPs from which ESs were collected; (iv) there was positive correlation between ESDI and ESPI. Moreover, there was substantial variation on dependency of ESs across villages was observed and seasonal variation in ESs was noted in terms of availability and dependency with maximum contribution during the monsoon season. The result clearly suggests that there is a strong nexus between livelihood strategies and ESs in the region. Therefore, diversification of livelihood strategies must be integrated with ESs for human well-being (HWB) as well as environmental sustainability.
An urban ecosystem’s ecological structure and functions can be assessed through Urban Surface Eco... more An urban ecosystem’s ecological structure and functions can be assessed through Urban Surface Ecological Status (USES). USES are affected by human activities and environmental processes. The mapping of USESs are crucial for urban environmental sustainability, particularly in developing countries such as India. The COVID-19 pandemic caused unprecedented negative impacts on socio-economic domains; however, there was a reduction in human pressures on the environment. This study aims to assess the effects of lockdown on the USES in the Kolkata Metropolitan Area (KMA), India, during different lockdown phases (phases I, II and III). The land surface temperature (LST), normalized difference vegetation index (NDVI), and wetness and normalized difference soil index (NDSI) were assessed. The USES was developed by combining all of the biophysical parameters using Principal Component Analysis (PCA). The results showed that there was a substantial USES spatial variability in KMA. During lockdown...
International Journal of Disaster Risk Reduction, 2021
UN-Habitat identified the present COVID-19 pandemic as ‘city-centric’. In India, more than 50% of... more UN-Habitat identified the present COVID-19 pandemic as ‘city-centric’. In India, more than 50% of the total cases were documented in megacities and million-plus cities. The slums of cities are the most vulnerable due to its unhygienic environment and high population density that requires an urgent implementation of public healthcare measures. This study aims to examine habitat vulnerability in slum areas to COVID-19 in India using principal component analysis and Fuzzy AHP based technique to develop slum vulnerability index to COVID-19 (SVIcovid-19). Four slum vulnerability groups (i.e. principal components) were retained with eigen-values greater than 1 based on Kaiser criterion - poor slum household status; lack of social distance maintenance; high concentrations of slum population and towns and mobility of the households. This study also mapped composite SVIcovid-19 on the basis of PCA and Fuzzy AHP method at the state level for a better understanding of spatial variations. The result shows that slums located in the eastern and central parts of India (particularly Uttar Pradesh, Bihar, Jharkhand, Odisha, West Bengal) were more vulnerable to COVID-19 transmission due to lack of availability as well as accessibility to the basic services and amenities to slum dwellers. Thus, the findings of the study may not only help to understand the habitat vulnerability in slum areas to COVID-19 but it will also teach a lesson to implement effective policies for enhancing the quality of slum households (HHs) and to reduce the health risk from any infectious disease in future.
Present study aims to examine the impact of lockdown on spatio-temporal concentration of PM2.5 an... more Present study aims to examine the impact of lockdown on spatio-temporal concentration of PM2.5 and PM10 - categorized and recorded based on its levels during pre-lockdown, lockdown and unlock phases while noting the relationship of these levels with meteorological parameters (temperature, wind speed, relative humidity, rainfall, pressure, sun hour and cloud cover) in Delhi. To aid the study, a comparison was made with the last two years (2018 to 2019), covering the same periods of pre-lockdown, lockdown and unlock phases of 2020. Correlation analysis, linear regression (LR) was used to examine the impact of meteorological parameters on particulate matter (PM) concentrations in Delhi, India. The findings showed that (i) substantial decline of PM concentration in Delhi during lockdown period, (ii) there were substantial seasonal variation of particulate matter concentration in city and (iii) meteorological parameters have close associations with PM concentrations. The findings will help planners and policy makers to understand the impact of air pollutants and meteorological parameters on infectious disease and to adopt effective strategies for future.
Abstract Air pollution in India during COVID-19 lockdown, which imposed on 25th March to 31st May... more Abstract Air pollution in India during COVID-19 lockdown, which imposed on 25th March to 31st May 2020, has brought a significant improvement in air quality. The present paper mainly focuses on the scenario of air pollution level (PM2.5, PM10, SO2, NO2 and O3) across 57 urban agglomerations (UAs) of India during lockdown. For analysis, India has been divided into six regions - Northern, Western, Central, Southern, Eastern and North-Eastern. Various spatial statistical modelling with composite air quality index (CAQI) have been utilised to examine the spatial pattern of air pollution level. The result shows that concentration of all air pollutants decreased significantly (except O3) during lockdown. The maximum decrease is the concentration of NO2 (40%) followed by PM2.5 (32%), PM10 (24%) and SO2 (18%). Among 57 UA’s, only five - Panipat (1.00), Ghaziabad (0.76), Delhi (0.74), Gurugram (0.72) and Varanasi (0.71) had least improvement in air pollution level considering entire lockdown period. The outcome of this study has an immense scope to understand the regional scenario of air pollution level and to implement effective strategies for environmental sustainability.
Abstract Assessment of ecosystem health (EH) in Indian megacities is urgently required where inef... more Abstract Assessment of ecosystem health (EH) in Indian megacities is urgently required where ineffective environmental protection policies turned them into hotspots of a bundle of eco-environmental problems. In this study, the classic Vigor-Organization-Resilience (VOR) framework was employed to devise the ecosystem health index (EHI) of Kolkata megacity which is similar to the work of Peng et. al. (2015). Results show that EH of this megacity city region was rapidly deteriorating trend, from 0.627 to 0.377 with strong spatial heterogeneity. In 2000, areal coverage of EH status of relatively well was 73.10% reduced to 52.00% and areal coverage of weak EH status increased to 21.80% in 2019. The relatively weak and weak status of EH are concentrated in Kolkata, Howrah and its adjacent areas. The study proposed a new improvement and deterioration index to track the changes of EH at the city scale to overcome the limitation of the percentage change method. Ultimately the outcome of the study provides a better understanding of EH in Kolkata megacity region that is helpful for policymakers in developing measures for eco-environmental management.
The flows of ecosystem services (ESs) from ecological patches (EPs) are being severely challenged... more The flows of ecosystem services (ESs) from ecological patches (EPs) are being severely challenged due to global change. However, the evaluation of nexus between tribal society and ecological units with focus of tribal livelihood was not a subject of enquiry until recent past. Present study hypothesized that the different EPs has differential nexus in terms of delivery of ESs in Barind region, Eastern India. Dependency and prominence of l livelihood on ESs was evaluated through developing ES dependency index (ESDI) and ecosystem services prominence index (ESPI). Five sub-components (comprising 25 indicators) and ten dominant provisioning ecosystem services (PES) were considered to develop ESDI and ESPI respectively. The seasonal variations of availability of ESs from EPs were also assessed-based five-point Likert scale. The findings of the study showed that (i) the households were highly dependent on PES for their livelihood strategies; (ii) agricultural crops (main foods), housing materials, fuel woods, water, livestock, and medical plants were the dominant ESs; (iii) forests, agricultural lands, water bodies, and homesteads were the main EPs from which ESs were collected; (iv) there was positive correlation between ESDI and ESPI. Moreover, there was substantial variation on dependency of ESs across villages was observed and seasonal variation in ESs was noted in terms of availability and dependency with maximum contribution during the monsoon season. The result clearly suggests that there is a strong nexus between livelihood strategies and ESs in the region. Therefore, diversification of livelihood strategies must be integrated with ESs for human well-being (HWB) as well as environmental sustainability.
An urban ecosystem’s ecological structure and functions can be assessed through Urban Surface Eco... more An urban ecosystem’s ecological structure and functions can be assessed through Urban Surface Ecological Status (USES). USES are affected by human activities and environmental processes. The mapping of USESs are crucial for urban environmental sustainability, particularly in developing countries such as India. The COVID-19 pandemic caused unprecedented negative impacts on socio-economic domains; however, there was a reduction in human pressures on the environment. This study aims to assess the effects of lockdown on the USES in the Kolkata Metropolitan Area (KMA), India, during different lockdown phases (phases I, II and III). The land surface temperature (LST), normalized difference vegetation index (NDVI), and wetness and normalized difference soil index (NDSI) were assessed. The USES was developed by combining all of the biophysical parameters using Principal Component Analysis (PCA). The results showed that there was a substantial USES spatial variability in KMA. During lockdown...
International Journal of Disaster Risk Reduction, 2021
UN-Habitat identified the present COVID-19 pandemic as ‘city-centric’. In India, more than 50% of... more UN-Habitat identified the present COVID-19 pandemic as ‘city-centric’. In India, more than 50% of the total cases were documented in megacities and million-plus cities. The slums of cities are the most vulnerable due to its unhygienic environment and high population density that requires an urgent implementation of public healthcare measures. This study aims to examine habitat vulnerability in slum areas to COVID-19 in India using principal component analysis and Fuzzy AHP based technique to develop slum vulnerability index to COVID-19 (SVIcovid-19). Four slum vulnerability groups (i.e. principal components) were retained with eigen-values greater than 1 based on Kaiser criterion - poor slum household status; lack of social distance maintenance; high concentrations of slum population and towns and mobility of the households. This study also mapped composite SVIcovid-19 on the basis of PCA and Fuzzy AHP method at the state level for a better understanding of spatial variations. The result shows that slums located in the eastern and central parts of India (particularly Uttar Pradesh, Bihar, Jharkhand, Odisha, West Bengal) were more vulnerable to COVID-19 transmission due to lack of availability as well as accessibility to the basic services and amenities to slum dwellers. Thus, the findings of the study may not only help to understand the habitat vulnerability in slum areas to COVID-19 but it will also teach a lesson to implement effective policies for enhancing the quality of slum households (HHs) and to reduce the health risk from any infectious disease in future.
Present study aims to examine the impact of lockdown on spatio-temporal concentration of PM2.5 an... more Present study aims to examine the impact of lockdown on spatio-temporal concentration of PM2.5 and PM10 - categorized and recorded based on its levels during pre-lockdown, lockdown and unlock phases while noting the relationship of these levels with meteorological parameters (temperature, wind speed, relative humidity, rainfall, pressure, sun hour and cloud cover) in Delhi. To aid the study, a comparison was made with the last two years (2018 to 2019), covering the same periods of pre-lockdown, lockdown and unlock phases of 2020. Correlation analysis, linear regression (LR) was used to examine the impact of meteorological parameters on particulate matter (PM) concentrations in Delhi, India. The findings showed that (i) substantial decline of PM concentration in Delhi during lockdown period, (ii) there were substantial seasonal variation of particulate matter concentration in city and (iii) meteorological parameters have close associations with PM concentrations. The findings will help planners and policy makers to understand the impact of air pollutants and meteorological parameters on infectious disease and to adopt effective strategies for future.
Abstract Air pollution in India during COVID-19 lockdown, which imposed on 25th March to 31st May... more Abstract Air pollution in India during COVID-19 lockdown, which imposed on 25th March to 31st May 2020, has brought a significant improvement in air quality. The present paper mainly focuses on the scenario of air pollution level (PM2.5, PM10, SO2, NO2 and O3) across 57 urban agglomerations (UAs) of India during lockdown. For analysis, India has been divided into six regions - Northern, Western, Central, Southern, Eastern and North-Eastern. Various spatial statistical modelling with composite air quality index (CAQI) have been utilised to examine the spatial pattern of air pollution level. The result shows that concentration of all air pollutants decreased significantly (except O3) during lockdown. The maximum decrease is the concentration of NO2 (40%) followed by PM2.5 (32%), PM10 (24%) and SO2 (18%). Among 57 UA’s, only five - Panipat (1.00), Ghaziabad (0.76), Delhi (0.74), Gurugram (0.72) and Varanasi (0.71) had least improvement in air pollution level considering entire lockdown period. The outcome of this study has an immense scope to understand the regional scenario of air pollution level and to implement effective strategies for environmental sustainability.
Abstract Assessment of ecosystem health (EH) in Indian megacities is urgently required where inef... more Abstract Assessment of ecosystem health (EH) in Indian megacities is urgently required where ineffective environmental protection policies turned them into hotspots of a bundle of eco-environmental problems. In this study, the classic Vigor-Organization-Resilience (VOR) framework was employed to devise the ecosystem health index (EHI) of Kolkata megacity which is similar to the work of Peng et. al. (2015). Results show that EH of this megacity city region was rapidly deteriorating trend, from 0.627 to 0.377 with strong spatial heterogeneity. In 2000, areal coverage of EH status of relatively well was 73.10% reduced to 52.00% and areal coverage of weak EH status increased to 21.80% in 2019. The relatively weak and weak status of EH are concentrated in Kolkata, Howrah and its adjacent areas. The study proposed a new improvement and deterioration index to track the changes of EH at the city scale to overcome the limitation of the percentage change method. Ultimately the outcome of the study provides a better understanding of EH in Kolkata megacity region that is helpful for policymakers in developing measures for eco-environmental management.
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