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

Evolution and use of remote sensing in ecological vulnerability assessment: A review DOI Creative Commons
Muhammad Kamran,

Kayoko Yamamoto

Ecological Indicators, Journal Year: 2023, Volume and Issue: 148, P. 110099 - 110099

Published: March 7, 2023

The ecological vulnerability assessment (EVA) is employed as a tool for integrated evaluation of the ecosystem with help indicators belonging to natural, social, and economy systems. unavailability suitable datasets has repeatedly been reported an obstacle conducting EVA on large spatial temporal scales. progress in remote sensing (RS) technology aided development (EVIs) from RS datasets. This manuscript presents comprehensive review 80 peer-reviewed publications which uses EVA. In this regard, paper divided into five main sections: First, background rationale presented introduction. Second, methodology selection interpretation selected literature discussed. Then, results section findings various dimensions: general trend literature, or scale EVA, analysis targets systems, Non-RS derived EVIs, sensors used acquisition data, conceptual models, weights determining mechanisms, software. Next, multiple gaps body knowledge are identified recommendations formulated future researchers. Finally, link sustainable highlighted conclusion section. overall shows that both quantity quality research regarding increased over past decades. It observed number studies report scale. Further, reveal 52 EVIs data 101 non-RS data. Landsat found most research. index (RSEI) principal component (PCA) prominent models weighting mechanisms. ArcGIS software widely literature.

Language: Английский

Citations

41

Quantifying the impact of industrialization on blue carbon storage in the coastal area of Metropolitan Semarang, Indonesia DOI
Anang Wahyu Sejati, Imam Buchori,

Siti Kurniawati

et al.

Applied Geography, Journal Year: 2020, Volume and Issue: 124, P. 102319 - 102319

Published: Sept. 9, 2020

Language: Английский

Citations

59

Evaluating the Variability of Urban Land Surface Temperatures Using Drone Observations DOI Creative Commons
Joseph B. Naughton, Walter McDonald

Remote Sensing, Journal Year: 2019, Volume and Issue: 11(14), P. 1722 - 1722

Published: July 20, 2019

Urbanization and climate change are driving increases in urban land surface temperatures that pose a threat to human environmental health. To address this challenge, we must be able observe within spatially complex environments. However, many existing remote sensing studies based upon satellite or aerial imagery capture temperature at coarse resolutions fail the spatial complexities of surfaces can sub-meter resolution. This study seeks fill gap by evaluating variability through drone thermal captured high-resolutions (13 cm). In study, flights were conducted using quadcopter camera two case locations Milwaukee, Wisconsin El Paso, Texas. Results indicate use types exhibit significant their (3.9–15.8 °C) is influenced material properties, traffic, weather geometry. Air solar radiation statistically predictors (R2 0.37–0.84) but predictive power models was lower for heavily impacted pedestrian vehicular traffic. The findings from ultimately elucidate factors contribute environment, which applied develop better mitigation practices protect

Language: Английский

Citations

58

Effects of lockdown due to COVID-19 outbreak on air quality and anthropogenic heat in an industrial belt of India DOI Creative Commons

Swades Pal,

Priyanka Das, Indrajit Mandal

et al.

Journal of Cleaner Production, Journal Year: 2021, Volume and Issue: 297, P. 126674 - 126674

Published: March 18, 2021

Highly urbanized and industrialized Asansol Durgapur industrial belt of Eastern India is characterized by severe heat island effect high pollution level leading to human discomfort even health problems. However, COVID-19 persuaded lockdown emergency in led shut-down the industries, traffic system, day-to-day normal work expectedly caused changes air quality weather. The present intended examine impact on quality, land surface temperature (LST), anthropogenic flux (AHF) belt. Satellite images daily data Central Pollution Control Board (CPCB) were used for analyzing spatial scale numerical change from pre amid conditions study region. Results exhibited that, consequence lockdown, LST reduced 4.02 °C, PM10 decreased 102 18 μg/m3 AHF declined 116 40W/m2 during period. Qualitative upgradation index (AQI) poor very state moderate satisfactory was observed To regulate climate change, many steps taken at global regional scales, but no fruitful outcome received yet. Such (temporarily) against economic growth, it showed some healing standard.

Language: Английский

Citations

49

Key Areas of Ecological Restoration in Inner Mongolia Based on Ecosystem Vulnerability and Ecosystem Service DOI Creative Commons
Siyuan Feng, Xin Liu, Wenwu Zhao

et al.

Remote Sensing, Journal Year: 2022, Volume and Issue: 14(12), P. 2729 - 2729

Published: June 7, 2022

Inner Mongolia is located in China’s arid and semi-arid regions, with sensitive fragile ecosystems at risk of increased desertification, necessitating ecological restoration. However, economic resources for large-scale restoration are often scarce, so it vital to identify key areas Previous desertification research has focused mainly on the condition changes soil or vegetation. not all vegetation directly impact humans. New perspectives increasingly needed bridge gap between biophysical human well-being. We construct a framework priority based ecosystem services vulnerability over long time series. The results show that: (1) conservation northeast southwest have degraded. Sand fixation central eastern shown degradation trend. Habitat quality been generally stable sporadic past 20 years. (2) higher concentrated northeast, due climate exposure sensitivity but relatively lower resilience northeast. (3) Compared identified trends traditional indicators (fractional cover net primary productivity), we found greater proportion land northeastern need Additionally, there was decreased southwestern ensure self-restoration regulation desert ecosystems, which conducive realizing nature-based solutions.

Language: Английский

Citations

37

Ecological vulnerability assessment of natural oasis in arid Areas: Application to Dunhuang, China DOI Creative Commons

Fan Yi,

Qi Lu,

Yonghua Li

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 149, P. 110139 - 110139

Published: March 22, 2023

Oasis vegetation contains a variety of ecological functions and can quickly indicate changes in the environment. According to dynamics natural oasis, this study constructed oasis vulnerability assessment model (NOEV) The is based on Pressure-Sensitivity-Resilience framework, combined with redundancy analysis, minimum cumulative resistance model, risk sensitivity index effectively assess oasis. results showed that human activities, represented by expansion farmland population growth, were main factors affecting last 30 years, their contribution change area 42.08%. In temporal dynamics, serie economic environmental policies implemented government after 21st century have promoted recovery vegetation. Vulnerability decreased whole but increased some local areas during 2005–2020. spatial transition zone from high low occurred, it distance approximately km an artificial located also area. We suggest governments should set up buffer implement different protection inside outside zone. Few models been for ecosystems, NOEV helps formulate more direct effective policy recommendations government's restoration work.

Language: Английский

Citations

21

Assessing ecological vulnerability and resilience-sensitivity under rapid urbanization in China’s Jiangsu province DOI Creative Commons

Minkun Chen,

Xibao Xu, Yan Tan

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 167, P. 112607 - 112607

Published: Sept. 16, 2024

Language: Английский

Citations

8

Geospatial Mapping and Meteorological Flood Risk Assessment: A Global Research Trend Analysis DOI Creative Commons

Phila Sibandze,

Ahmed Mukalazi Kalumba,

Amal H. Aljaddani

et al.

Environmental Management, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 12, 2024

Abstract Flooding is a global threat causing significant economic and environmental damage, necessitating policy response collaborative strategy. This study assessed research trends advances in geospatial meteorological flood risk assessment (G_MFRA), considering the ongoing debate on management adaptation strategies. A total of 1872 original articles were downloaded BibTex format using Web Science (WOS) Scopus databases to retrieve G_MFRA studies published from 1985 2023. The annual growth rate 15.48% implies that field has been increasing over time during period. analysis practice highlights key themes, methodologies, emerging directions. There exists notable gap data methodologies for between developed developing countries, particularly Africa South America, highlighting urgency coordinated efforts cohesive actions. challenges identified body extant literature include technical expertise, complex communication networks, resource constraints associated with application gaps methodologies. advocates holistic approach disaster through ecosystem-based underpins Sustainable Development Goals develop innovative techniques models potential influence decision-making domain. Addressing these requires networked partnership community, institutions, countries.

Language: Английский

Citations

7

Altering urban greenspace patterns and heat stress risk in Hanoi city during Master Plan 2030 implementation DOI Creative Commons
Yuei‐An Liou, Kim-Anh Nguyen,

Le-Thu Ho

et al.

Land Use Policy, Journal Year: 2021, Volume and Issue: 105, P. 105405 - 105405

Published: March 21, 2021

Hanoi City has been greatly reshaped owing to its "Master Plan by 2030 and a vision 2050 Decision 1259/QD-TTg of Vietnam" (called Master thereafter). This results in multi-challenges for the terms conserving urban greenspace (UGS). study pursues (1) investigate changing environmental spatial patterns UGS, (2) identity areas at high risk due heat stress based on abnormal land surface temperature (LST) distribution demographic vulnerability, (3) suggest mitigation strategies authorities using proposed UGS management platform. Sentinel-2 multispectral instrument (MSI) data was used examine evolution relation LST derived from Landsat 8 OLI thermal band that subsequently utilized create patterns. The region is inner City. investigated during timeframe Oct. 2016 2018. Accuracy assessment performed Google Earth field survey data. Results showed much declined 1.3% woodland 4.4% shrub land, while grass-cover increased 2.4% recent 2 years. Overall accuracies are 96% 88% with Kappa coefficients 0.92 0.78 cover classification 2018 2016, respectively. Urban index higher central inner-city dense residential regions characterized built-up. identification provides useful information calling more attention planners, health organizations.

Language: Английский

Citations

33

Spatiotemporal evolution and impact mechanism of ecological vulnerability in the Guangdong–Hong Kong–Macao Greater Bay Area DOI Creative Commons
Rui Zhang, Sheng Chen, Liang Gao

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 157, P. 111214 - 111214

Published: Nov. 14, 2023

The constant conflict between the rapidly developing socioeconomic and ecological environment within Guangdong–Hong Kong–Macao Greater Bay Area necessitates exploration of ecosystem vulnerability patterns driving mechanisms. A comprehensive social–economic–ecological framework is proposed to assess pattern Area, specifically spanning from 1990 2020. Employing geographic detectors weighting methods, study quantifies spatiotemporal variation underlying mechanisms in area. results demonstrate an obvious trend index (ESVI) across with initial decline followed by gradual increase during the1990–2020. substantial majority region (approximately 63.85% total area) experienced a ESVI 2010. Moreover, spatial distribution this exhibited prevailing east-to-west pattern, indicating overall southward shift over time. Furthermore, was primarily concentrated central expanding urban areas situated on both sides Pearl River estuary. Encouragingly, notable amplification observed 2010 2020, which attributed development, utilization, protection land, forests, water bodies, other pertinent factors associated expansion. impact climate change changes exhibits growing magnitude time, while human activities persist as predominant driver changes. natural exerted upper reaches River, included topographic relief, precipitation, network density, biological abundance, related aspects. Conversely, pronounced influence predominantly manifests agglomeration Delta. Key contributors such manifestation encompass land types, intensity activities, population variables. Changes use have potential induce heightened amelioration practices can be mitigated reduced employing ESVI. introduced holds extend assessments regions similar types. It expected that findings derived could contribute formulation policy recommendations pertaining management.

Language: Английский

Citations

16