Air Quality Improvement Following COVID-19 Lockdown Measures and Projected Benefits for Environmental Health DOI Creative Commons
Yuei‐An Liou, Trong-Hoang Vo, Kim-Anh Nguyen

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(2), P. 530 - 530

Published: Jan. 16, 2023

Many regions worldwide suffer from heavy air pollution caused by particulate matter (PM2.5) and nitrogen dioxide (NO2), resulting in a huge annual disease burden significant welfare costs. Following the outbreak of COVID-19 global pandemic, enforced curfews restrictions on human mobility (so-called periods ‘lockdown’) have become important measures to control spread virus. This study aims investigate improvement quality following lockdown projected benefits for environmental health. China was chosen as case study. The work projects premature deaths costs integrating PM2.5 NO2 pollutant measurements derived satellite imagery (MODIS instruments Terra Aqua, TROPOMI Sentinel-5P) with census data archived Organization Economic Co-operation Development (OECD). A 91-day timeframe centred initial date 23 January 2020 investigated. To perform projections, OECD five variables 1990 2019 (mean population exposure ambient PM2.5, deaths, costs, gross domestic product population) were used training run Autoregressive Integrated Moving Average (ARIMA) multiple regression models. analysis revealed that across Beijing, Hebei, Shandong, Henan, Xi’an, Shanghai Hubei, average concentrations decreased 6.2, 30.7, 14.1, 20.7, 29.3, 5.5 17.3%, while 45.5, 54.7, 60.5, 58.7, 63.6, 50.5 66.5%, respectively, during period 2020, compared equivalent 2019. Such improvements found be beneficial, reducing both number approximately 97,390 over USD 74 billion.

Language: Английский

Vulnerability to urban flooding assessed based on spatial demographic, socio-economic and infrastructure inequalities DOI Creative Commons
Alejandro Roldán-Valcarce, Daniel Jato‐Espino, Cristina Manchado

et al.

International Journal of Disaster Risk Reduction, Journal Year: 2023, Volume and Issue: 95, P. 103894 - 103894

Published: July 26, 2023

Urban flooding is a priority in natural risk management and mitigation because it the most frequent disaster densely urbanised environments. This research explores flood vulnerability cities by developing an index that can be easily implemented across world. Our methodology based on arrangement of series variables into three different classes (demography, socioeconomics infrastructure) determination their spatial variability through Principal Component Analysis (PCA). We tested proposed approach city Santander (Spain) where map was generated combination classes. The analysis show we reduce complexity from initially identified 159 relevant to 16 representative impactful terms variance. Classification made possible quantify main causes space. produce integrating our findings with hazard for same area. gives urban planners detailed information about affected areas allows them design measures mitigate severity effects floods optimising available resources.

Language: Английский

Citations

14

Mapping global eco-environment vulnerability due to human and nature disturbances DOI Creative Commons
Kim-Anh Nguyen, Yuei‐An Liou

MethodsX, Journal Year: 2019, Volume and Issue: 6, P. 862 - 875

Published: Jan. 1, 2019

Identifying vulnerable levels of eco-environment over a global scale is critical for environmental management and ecological conservation. We present the method to optimize use freely assessable datasets derive 16 factors proposed assessment framework (Nguyen Liou, 2019; Liou et al., 2017; Nguyen 2016) [[1], [2], [3]]. Results show that are suitable evaluating eco-environmental vulnerability (GEV). PM2.5 hazardous substance in environment an anthropogenic disturbance associated with nature human-made influence selected validate GEV map. The map well correlates distribution patterns correlation coefficient approximately 0.82. All mapping procedures processed ArcGIS 10.3/QGIS 2.16.3 software. Advantages our include three aspects: •The analysis procedure simple but powerful, while dealing various complex issues.•The flexible adjust influential indicators subject conditions concerned regions purposes decision makers.•The can be easily applied different scales. Our findings eco-protection zoning provide key hotspots makers people take further actions lessen disturbances achieve sustainability.

Language: Английский

Citations

43

An insight into gill microbiome of Eastern Mediterranean wild fish by applying next generation sequencing DOI Creative Commons
Peleg Itay, Eli Shemesh,

Maya Ofek‐Lalzar

et al.

Frontiers in Marine Science, Journal Year: 2022, Volume and Issue: 9

Published: Sept. 29, 2022

Bacterial diseases of marine fish inflict significant economic damage to fisheries and aquaculture pose an increasing risk public health. When addressing disease, accumulating body research suggests adding another factor the classic epidemiological triangle host-environment-pathogen: microbiome. The gills, being a gateway into bearing important role in homeostasis, have been found be proxy gut microbiota as well reflecting microbial communities surrounding water. In this study, 16S rRNA amplicons bacterial DNA extracted from gills 89 asymptomatic specimens three wild species ( Pagrus caeruleostictus , Scomber colias Saurida lessepsianus ) were sequenced using Next Generation Sequencing methodology (NGS). Data analyses revealed presence 41 potentially pathogenic species, including several zoonotic agents. Five genera known include widespread chosen for further investigation: Photobacterium, Shewanella, Staphylococcus, Streptococcus Vibrio . Of these, Photobacterium Shewanella proved most prevalent abundant, making up 30.2% 11.3% Bluespotted seabream P. gill microbiome alone. damselae baltica common at level. remaining - Vibrio, Staphylococcus – less prevalent, level comprised only 1−4% representatives. Gill microbiomes exhibited host specificity, with strong correlations between certain taxonomic groups. No definite obligatory bacteria it was suggested that are present either covert pathobionts or opportunists them.

Language: Английский

Citations

22

A SEEC Model Based on the DPSIR Framework Approach for Watershed Ecological Security Risk Assessment: A Case Study in Northwest China DOI Open Access
Bin Wang, Fang Yu, Yanguo Teng

et al.

Water, Journal Year: 2022, Volume and Issue: 14(1), P. 106 - 106

Published: Jan. 4, 2022

The DPSIR model is a conceptual established by the European Environment Agency to solve environmental problems. It provides an overall framework for analysis of problems from five aspects: driving force (D), pressure (P), state (S), impact (I), and response (R). Through use framework, this paper presents SEEC approach evaluating watershed ecological security. considers four socioeconomic health (E), ecosystem services function control management (C). screening, 38 evaluation indicators were determined. results showed that security index study area was >80, indicating generally safe level. lowest score mainly attributable low rate treatment rural domestic sewage. water quality status used evaluate applicability model, calculation indicated higher results, better status. findings show demonstrates satisfactory

Language: Английский

Citations

20

Air Quality Improvement Following COVID-19 Lockdown Measures and Projected Benefits for Environmental Health DOI Creative Commons
Yuei‐An Liou, Trong-Hoang Vo, Kim-Anh Nguyen

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(2), P. 530 - 530

Published: Jan. 16, 2023

Many regions worldwide suffer from heavy air pollution caused by particulate matter (PM2.5) and nitrogen dioxide (NO2), resulting in a huge annual disease burden significant welfare costs. Following the outbreak of COVID-19 global pandemic, enforced curfews restrictions on human mobility (so-called periods ‘lockdown’) have become important measures to control spread virus. This study aims investigate improvement quality following lockdown projected benefits for environmental health. China was chosen as case study. The work projects premature deaths costs integrating PM2.5 NO2 pollutant measurements derived satellite imagery (MODIS instruments Terra Aqua, TROPOMI Sentinel-5P) with census data archived Organization Economic Co-operation Development (OECD). A 91-day timeframe centred initial date 23 January 2020 investigated. To perform projections, OECD five variables 1990 2019 (mean population exposure ambient PM2.5, deaths, costs, gross domestic product population) were used training run Autoregressive Integrated Moving Average (ARIMA) multiple regression models. analysis revealed that across Beijing, Hebei, Shandong, Henan, Xi’an, Shanghai Hubei, average concentrations decreased 6.2, 30.7, 14.1, 20.7, 29.3, 5.5 17.3%, while 45.5, 54.7, 60.5, 58.7, 63.6, 50.5 66.5%, respectively, during period 2020, compared equivalent 2019. Such improvements found be beneficial, reducing both number approximately 97,390 over USD 74 billion.

Language: Английский

Citations

13