Indicators Of Environmental Quality Research Articles

Comprehensive Eco-Environment Quality Index Model with Spatiotemporal Characteristics.

Ecological environment assessment, which forms the basis for the survival and development of human society, is a crucial measure for the sustainable development of society and economy. However, current quantitative assessment models such as EI, EQI, RSEI et al. are insufficient to meet the requirements of dynamic research in large areas, long time series and dense time intervals. Therefore, in this paper, we constructed the comprehensive ecological environment quality index model SCEQI that can meet these needs by applying the remote sensing big data as the data source. The SCEQI aggregated the ecological indices NDVI, NDBSI, Lst and Wet by full-sequence dynamic dimensionless, automated principal component analysis and multi-temporal average method. In order to verify the spatial and temporal accuracy of the model, we took Henan Province as an example to compare the result of SCEQI with that of EI, EQI, RSEI and proved that SCEQI performed better in both time and space. Also, we verified the superiority of time, space, and precision of SCEQI with profiles, samples, and cluster analysis.

A Bibliometric Analysis of the Global Research in Odonata: Trends and Gaps

Insects of the order Odonata have been used as indicators of environmental quality in different aquatic systems around the world. In this context, we conducted a bibliometric analysis to understand the general patterns of research on Odonata published in the past decade (2012–2021). We extracted literature from the Web of Science (WoS) in the advanced search option and used search terms related to Odonata plus search strings for each term. A total of 2764 Odonata publications were identified. The journals with the most published articles on Odonata were Zootaxa, International Journal of Odonatology and Odonatologica. The countries with the most Odonata publications were the USA, Brazil and China. Most studies were conducted on streams, ponds and rivers. Ecology, taxonomy and behavior were the main study topics. Of the total articles on Odonata, 982 involved Zygoptera and 946 Anisoptera. Another 756 studies were focused on both suborders. The increase in ecological and taxonomic studies of Odonata reflects the dynamic characteristics of this order, and its relatively well-defined systematics, especially in the case of adults. Despite the recent increase in the number of publications, there are still many gaps related to topics such as biogeography, parasitism, competition within and between species, evolutionary and phylogenetic relationships, as well as studies of the eggs (e.g., their development) and larval exuviae (e.g., their morphological features).

Environmental Conservation Based on Community Empowerment: Case Study in Toba Caldera UNESCO Global Geopark

Toba Caldera UNESCO Global Geopark (TCUGG) has not only geological phenomena of international geological significance value but also has outstanding universal value by the United Nations Educational, Scientific and Cultural Organization (UNESCO). The establishment of TCUGG as a national priority and the Lake Toba Authority Agency is a serious commitment from the government to develop this region. Although it is now a super-priority tourism destination, over the last six decades, the water level of Lake Toba has decreased significantly by 2.4 cm per year from 1957 to 2016. The environmental quality index shows a decline from year to year, and environmental conditions of Lake Toba are already very severe due to various factors. The government and local communities are still running independently for the conservation agenda. This empirical research uses a mixed method of sequential explanation. The main objective of the research is to analyze the determinants of local people's choices to participate in conservation activities in TCUGG. From the research results, the significant factors that determine the local communities' participation in conservation activities are water availability, incentives, suitability of seeds, trust level for the initiator, and the success rate of previous conservation. Society does not need promises or rhetoric, especially for those who have participated before and experienced low success rates. Application of reward and punishment as an incentive for the community to participate in conservation activities and to further encourage their motivation. The main key is to serve the needs of the community in conservation practices.

Evaluating urban environment quality (UEQ) for Class-I Indian city: an integrated RS-GIS based exploratory spatial analysis

Urban environmental quality consisting of ecological, physical, and socio-economic components, often deteriorates due to rapid urbanization. Therefore, using Remote sensing and GIS environment, a composite measure is applied to quantify the spatial heterogeneity of urban environmental quality for the Class-1 Indian city (Siliguri). In this study, the Urban Environmental Quality Index was constructed using 15 indicators and three interconnected dimensions (eco-environment, landscape and built-up, and socio-economy). The three domains and Urban Environmental Quality Index were computed utilizing Principal Component Analysis with average aggregation techniques. Exploratory Spatial Data Analysis includes Moran’s I and Local indicator of spatial auto-correlation, were used to leverage the information of spatial clusters, spatial heterogeneity, and outliers based on the Urban Environmental Quality Index. The results show that Siliguri’s northern, north-western, and southern parts experience good environmental quality. The effectiveness of the employed model was checked using R2 (0.832), providing a good fit for the model. Moreover, the spatial pattern of urban environmental quality and the constructed domains (except socio-economy) revealed that the Low-Low values were predominantly clustered in the city centre, while High-High patterns are concentrated towards the periphery. Also, the value of Moran’s I indicated the existence of spatial autocorrelation and non-randomness pattern in Siliguri City. The results obtained from the analysis indicate spatial heterogeneity and spatial differentiation across the study area. The study’s outcome is relevant for urban planning, frequent monitoring of urban environmental quality, urban governance, and the well-being of urban inhabitants for a sustainable urban space.

IMPROVED CRITERION IN METHOD OF ASSESSMENT OF THE SAFETY LEVEL OF THE PROCESS OF LAND RECULTIVATION OF PLACES OF AMMUNITION DISPOSAL AND DESTRUCTION

The relevance of the research and the need to develop methods that allow assessing the level of safety of the disposal and destruction of ammunition sites are shown not only at the present time, but also in the future when land reclamation measures are applied. An improved criterion for assessing the safety level of the reclamation process of the lands of the disposal and destruction of ammunition sites was developed based on the use of a regulatory approach, and significant indicators were determined, namely: the probability of an explosion, the amount of excessive pressure in the air shock wave, and the level of degradation of the lands of the disposal and destruction of ammunition sites. An improved method of assessing the safety level of the process of land reclamation of the disposal and destruction of munitions by using an improved criterion for assessing the safety level of the process has been developed. The proposed method is suitable not only for long-term evaluation, but also for operational safety management of similar objects. The main advantage of the proposed method in comparison with those used today is to take into account the entire complex of active factors of explosion risk and environmental danger, while minimizing the number of significant environmental quality indicators. Thanks to this, it becomes possible to reduce the amount of calculations required for accurate assessment by a set of regulatory criteria, and also simplifies the assessment procedure without loss of accuracy.

If Smoking Were Eliminated, Which US Counties Would Still Have High Rates of Smoking-Related Cancers?

to characterize the county variability of the impact of smoking elimination on rates of smoking-related cancers and explore whether common environmental indices predicted which metropolitan counties would experience high rates of smoking-related cancers even after smoking was eliminated. Surveillance, Epidemiology, and End Results Program (SEER) and Environmental Protection Agency (EPA) data were obtained. County level cancer rates for 257 metropolitan SEER counties, including the observed rates and those predicted after eliminating smoking, were derived via multilevel regression modeling and age standardized to the 2016 SEER population. Associations between the EPA's Environmental Quality Index (EQI) scores and "Low Benefit" counties (counties that remain above the top 20th percentile of post-smoking elimination incidence rates) were explored via logistic regression. Reductions in smoking-related cancer incidence ranged from 58.4 to 3.2%. The overall EQI (OR = 1.96, 95% CI [1.34, 2.86]) and the air quality index (OR = 5.99, 95% CI [3.20, 11.22]) scores predicted higher odds of being a "Low Benefit" county. Substantial inequities in the post-smoking elimination cancer rates were observed; air pollution appears to be a primary explanation for this. Cancer prevention in metropolitan counties with high levels of air pollution should prioritize pollution control at least as much as tobacco control.

Characteristics and Spatial-Temporal Differences of Urban "Production, Living and Ecological" Environmental Quality in China.

The article analyses the spatial and temporal differences in the environmental quality of production, living and ecology of 285 cities in China from 2010 to 2020 by using the entropy method, the Theil index and correlation analysis. The study concludes the following: (1) in terms of overall differences, the overall differences in the "production, living and ecological" environmental quality indices of 285 cities during the study period undergo a process of "narrowing-widening-narrowing". The differences within the four major zones of the country are higher than those between the four major zones, and the differences within the zones show an increasing trend year by year. (2) In terms of temporal differences, the combined scores of "production, living and ecological" environmental quality of the 285 cities in the study period show a decreasing trend, and the contribution of the PLE subsystem scores are, in descending order, production environmental quality > living environmental quality > ecological environmental quality. (3) In terms of overall ranking, the head effect of the combined production, living and ecological environmental quality (PLE) scores of cities in the study period is significant, and the top 10 cities in terms of combined scores are all small and medium-sized cities with significant regionalization characteristics. (4) In terms of spatial pattern, there is a significant spatial gradient in the east, central and western regions, with the overall PLE scores of the four major regions in descending order: eastern region > central region > western region > northeastern region. The regions with high scores in the "production, living and ecological" environmental quality of cities can be divided into three types: multi-core, dual-core and single-core. (5) In terms of influencing factors, there is a logarithmic curve relationship between the combined production, living and ecological environmental quality (PLE) score and the built-up area (BUA) of cities. The study proposes to optimize the layout of urban production, strengthen the industrial links of urban clusters, improve the level of public services, ensure the equalization of urban public services, strengthen the management of ecological environment and improve the quality of ecological environment in order to optimize the quality of urban "production, living and ecological" environment.

Potential Improvement of Environmental Quality Index (EQI) Based on District Level Data. Case Study in Bekasi Regency

Bekasi Regency always experiences an increase in population every year that significantly affects the Environmental Quality Index (EQI) in Bekasi Regency. Environmental Quality Index (EQI) is a value that can describe the quality of the environment in an area at a specified time. The Regency Environmental Quality Index (EQI) is a composite of the Water Quality Index (WQI), Air Quality Index (AQI), and Land Quality Index (LQI). All Environmental Quality Indexes positively affect the fulfilment of basic needs. The calculations in this research show the Environmental Quality Index (EQI) Based on District Level Data in Bekasi Regency is 47.56.

Analysis of the factors that influence the environmental quality index in Bekasi Regency

Environmental quality index is needed to describe the initial indication of the environmental conditions of an area in a certain period. Bekasi district, the largest industrial area in Indonesia and Southeast Asia, faces environmental damage that can threaten the quality of human life. Local governments need the determination of the environmental quality index of Bekasi Regency to get quick conclusions from environmental conditions in Bekasi Regency. Many factors can affect the environmental quality index in Bekasi Regency, both direct driving factors and supporting factors. Twenty-four assessment instruments must be assessed by nine expert panelists from several regional agencies. The Delphi method was used to obtain consensus from two rounds of interviews with expert panelists. Changes in land cover, type of land cover, household solid waste pollution, household liquid waste pollution, industrial air pollution, and industrial liquid waste pollution are the direct driving factors that most influence the environmental quality index in Bekasi Regency. Meanwhile, population growth and population migration are the supporting factors that most influence the environmental quality index in Bekasi Regency.

The Canadian Environmental Quality Index (Can-EQI): Development and calculation of an index to assess spatial variation of environmental quality in Canada’s 30 largest cities

BackgroundMultiple characteristics of the urban environment have been shown to influence population health and health-related behaviours, though the distribution and combined effects of these characteristics on health is less understood. A composite measure of multiple environmental conditions would allow for comparisons among different urban areas; however, this measure is not available in Canada. ObjectivesTo develop an index of environmental quality for Canada’s largest urban areas and to assess the influence of population size on index values. MethodsWe conducted a systematic search of potential datasets and consulted with experts to refine and select datasets for inclusion. We identified and selected nine datasets across five domains (outdoor air pollution, natural environments, built environments, radiation, and climate/weather). Datasets were chosen based on known impacts on human health across the life course, complete geographic coverage of the cities of interest, and temporal alignment with the 2016 Canadian census. Each dataset was then summarized into dissemination areas (DAs). The Canadian Environmental Quality Index (Can-EQI) was created by summing decile ranks of each variable based on hypothesized relationships to health outcomes. ResultsWe selected 30 cities with a population of more than 100,000 people which included 28,026 DAs and captured approximately 55% of the total Canadian population. Can-EQI scores ranged from 21.1 to 88.9 out of 100, and in Canada’s largest cities were 10.2 (95% CI: −10.7, −9.7) points lower than the smallest cities. Mapping the Can-EQI revealed high geographic variability within and between cities. DiscussionOur work demonstrates a valuable methodology for exploring variations in environmental conditions in Canada’s largest urban areas and provides a means for exploring the role of environmental factors in explaining urban health inequalities and disparities. Additionally, the Can-EQI may be of value to municipal planners and decision makers considering the allocation of investments to improve urban conditions.

Discussion Cultivate the Nutrients in The Sea

As an important reserve land resource, beachfront mudflats have been extensively reclaimed over the past few decades. In recent years, more and more research has begun to close Note the improvement of the overall environmental quality of the soil, including soil biological properties, in the process of beach land utilization. Among them, soil enzymes are soil biological activities The activity level of the product is a good biological indicator of soil environmental quality, which can be used to evaluate the effectiveness and sustainability of soil salinity and management measures Sex. Based on this, the mudflat soil is comprehensively described from four aspects: different utilization methods, different vegetation cover, different utilization years and the input of exogenous pollutants The changes of loam enzyme species, distribution and enzyme activity summarize the correlation between soil enzyme activity and other substances in tidal flats, and start from the existing problems and hot spots Propose the next research priorities.

Relationship between the incidence of socially significant diseases and sanitary and ecological parameters of the environment throughout municipal entities in the Mari El Republic

BACKGROUND: There is a formal contradiction in the Republic of Mari El between the favorable ecological situation in localities of the Republic and the above-limit morbidity rates caused by the negative impact of habitat factors. As such, there is a need to conduct a specified quantitative examination using modern econometric approaches.
 AIM: By using panel data, to identify and substantiate statistical relations between the morbidity rate of the population in municipal entities of the Mari El Republic and ecological parameters of the environment (physical and chemical and bioindication indicators).
 MATERIAL AND METHODS: This study used the panel data on morbidity rates of the population, including children, adolescents, and adults, and environmental pollution across 15 municipal entities within the Mari El Republic from 20092019, as well as spatial data on fluctuating asymmetry for 2019 that were based on a field study and integrally reflect the environmental quality. Statistical analysis for dynamic panel data involved cointegration and modeling with a mechanism of balance adjustment, whereas that for spatial data involved nonparametric correlation analysis. All statistical analyses were conducted using the statistics packages EViews 11 and Stata 16 IC.
 RESULTS: It was established that over the long term the increasing pollution level of drinking water from the distribution network and the atmosphere has a statistically significant effect (2=79.79; p 0.001) on the increase in figures of congenital abnormalities (malformation), deformations and chromosome breakages in children aged 0 to 14 years. Adjustment of the indicator of congenital abnormalities (malformation), deformations and chromosome breakages in children aged 0 to 14 years with a deviation from the equilibrium trajectory occurs in about 2 years. It is required to develop measures to systematically provide the population with good-quality drinking water and reduce emissions of pollutants into the atmosphere. Stable positive correlations of long-term average annual morbidity rate of the whole population and the adult population aged 18 and older being ill with malignant tumors are associated with the change in environmental quality (indicators of the fluctuating asymmetry in the impact zone).
 CONCLUSION: A panel regression model was designed that explains the change in time of the indicator of congenital abnormalities (malformation), deformations and chromosome breakages in children aged 0 to 14 years within one municipal entity with the increasing pollution level of the atmosphere and drinking water. Being ill with malignant tumors is related to a complex of various stress factors (varying between the human impact and climate change).

Renewable energy, nonrenewable energy, and environmental quality nexus: An investigation of the N-shaped Environmental Kuznets Curve based on six environmental indicators

The current research evaluated the role of non-renewable and renewable energy consumption in environmental sustainability following the N-shaped Environmental Kuznets Curve framework controlling financial development, population density, and composite trade share. Unlike previous studies, this research used six indices to depict environmental deterioration and environmental quality. More precisely, pressures on nature, ecological footprints, environmental vulnerability, and adjusted net saving are employed to represent environmental deterioration, while environmental performances and environmental sustainability are adopted to proxy environmental quality. The Dynamic Seemingly Unrelated Regression Equations were used on panel data from 1994 to 2019 in the selected Organization of the Petroleum Exporting Countries. The findings revealed the N-shaped linkage between per capita income and environmental deterioration indicators, such as ecological footprints, adjusted net saving, pressures on nature, and environmental vulnerability. Regarding the linkage between environmental quality indicators, including environmental performances and environmental sustainability, and per capita income, an inverted N-shaped Environmental Kuznets Curve is verified. Considering all six environmental indicators, non-renewable energy tends to deteriorate the environment, while the use of renewable energy promotes environmental quality. Moreover, population density, financial development, and composite trade share raise environmental deterioration. The results are vital for achieving a green economy with better environmental quality.

Eco-environmental effects and spatiotemporal evolution characteristics of land use change: A case study of Hexi Corridor, Northwest China.

Based on the land use data of Hexi Corridor region from 1980 to 2020, we calculated the ecological environment quality index and analyzed the spatial and temporal evolution characteristics, change frequency, patterns, circles of the long time series land use type changes and its ecological environment quality, using the spatial analysis method of ArcGIS. The results showed that unused land was the main land use type in the study area during 1980-2020. The area of construction land, forest land, grassland, and water changed more, and the transition among land use types was obvious. The trends of deterioration and improvement of ecological environment quality in the study area occurred simultaneously and offset each other under certain conditions. The ecological environment quality index evolved in a 'U' shape, first decreasing and then increasing, with little change in overall ecological environment quality fluctuations. The spatial clustering of ecological quality was obvious, which was higher in the southeast and lower in the northwest, without high frequency and large change. The ecological quality in the southeast quadrant of the study area was the worst, followed by the southwest and northwest quadrants, while the ecological quality in the northeast quadrant was the best. The area of the continuously decline zone in ecological environment quality type conversion was larger than that of the continuously rising zone, indicating that ecological environmental protection in the Hexi Corridor had been effective during the study period. The hot spots of ecological quality change were mainly distributed in the central and southwestern part of the Hexi Corridor, and the cold spots were mainly distributed in the northwestern part.

The asymmetric influence of environmental-related technological innovation on climate change mitigation: what role do FDI and renewable energy play?

This study aims to provide a new perspective on environmental studies by examining the influence of environmental-related technological innovation, foreign direct investment, renewable energy consumption, and economic growth on the climate change index (CCI), a novel proxy for environmental quality indicators. From the econometric standpoint, this study employsthe "non-linear autoregressive distributed lag" model and spectral causality over the period of 1999-2018 for India. The results show that positive shocks to economic growth have detrimental long- and short-term effects on environmental quality, whereas negative shocks have no effect. While a positive shock has an insignificantimpact, a negative shock to environmental technology innovation has a long-term negative impact on environmental quality. This study provides evidence for the pollution halo hypothesis in India. Besides, a long-term negative shock to the usage of renewable energy fosters environmental degradation. Furthermore, in short-, medium-, and long-term frequency, spectral causality demonstrates unidirectional causation from CCI to environmental-related technological innovation. Bidirectional causation is demonstrated between the CCI and renewable energy consumption in the short and medium term. In addition, environmental-related technological innovation and foreign direct investment are demonstrating a bidirectional relationship in the short term. This study has advocated the Sustainable Development Goals (SDGs)-centricpolicy paradigm, which can assist the Indian government in achieving SDG-13 (mitigating climate change) and SDG-7 (clean energy consumption).

Land-use function evolution and eco-environmental effects in the tarim river basin from the perspective of production–living–ecological space

The identification of land type multi-functionality is a basic tool for the organization, coordination, and configuration of basin land, and provides a key criterion for determining the combination of land-use functions and the status quo of the ecological environment in the basin. However, a feasible identification method system for this purpose has not yet been established. Therefore, in this study, we construct a production–living–ecological space (PLES) classification system from the comprehensive perspective of land-use type and ecological environment. Based on remote sensing of PLES and statistical land-use status data for 2000, 2005, 2010, 2015, and 2020, we analyze the evolutionary characteristics of land-use function using the transfer matrix and center of gravity transfer methods. These are combined with the eco-environmental quality index to reveal the driving factors of eco-environmental quality spatial differentiation using the geographic detector model. The results indicate that the overall ecological environment quality index of the Tarim River Basin presents a downward trend, with a spatial differentiation pattern of high in the northwest and low in the southeast. Over the past 20 years, the ecological environment quality index has dropped by 0.852. The structural evolution and regional differentiation of PLES areas are remarkable, all of which expanded over the study period (except for the key ecological land). The center of gravity of production land presented the most obvious migration, with a total migration of 10,601.76 m to the northeast. Eco-environmental effects are found to be mainly driven by socio-economic factors, of which population density growth is the most important. The implementation of some ecological restoration projects has played a role in slowing down the degradation trend of the ecological environment quality in the Tarim River Basin; however, due to population increases and socio-economic development, the ecological environment degradation has overall been exacerbated.

Impact of environmental quality indicators on soft power: a few empirical estimates

ABSTRACT Environmental issues have become unavoidable over the last few decades. Countries are increasingly undergoing decision-making processes that involve impacts on the environment. Among the many possible costs of misuse of the environment, one that has drawn attention is with regard to soft power. In other words, can environmental degradation actually lead to a worsening of countries’ soft power? The empirical answer suggests that it does. In addition, we attempt to identify which specific factors within the environmental issue can have the greatest impact on countries’ soft power. Furthermore, measures that affect people’s health seem to be especially important points of impact on countries’ soft power.

Study of the Environmental Quality Index in an Urban Campus Area

Environmental Quality Index (EQI) has been used as a common measurement for environmental quality in Indonesia. However, EQI is only measured in a wide administrative area. In reality, environmental quality measurement in smaller areas is also needed to formulate the right environmental policy. EQI study at Universitas Gadjah Mada (UGM), as an urban campus, is important because it prioritizes the educopolis vision which commits to create a conducive education environment and be responsive to ecological issues. This research aims to identify the EQI of UGM and analyse the vision of educopolis and open system campus related to EQI. The method which is used is mixed-method of quantitative to obtain the EQI value from Air Pollution Index, Water Pollution Index, and Forest Cover Index, as well as qualitative method to review the educopolis vision and open system campus through analysis of strength, weakness, opportunity, threat (SWOT). The EQI in this study is 50.77, categorized as very less. The vision of the educopolis campus in contrast with the current open system campus. The management strategy to improve the EQI is formulated through the management of vehicles, waste, integrated water in Belik and Code sub-watersheds, and urban green space.

Assessment of Ecological Environment Quality for Urban Sustainable Development Based on AHP.

Cities are gradually developed on the basis of adapting and transforming the natural environment. In a certain urban area, human activities, natural environment, and other factors and their mutual influence constitute the urban ecological environment. Therefore, the evaluation of urban ecological environment quality is of great significance to the analysis of urban development. This paper takes a city in Western China as the evaluation object, uses AHP to determine the index weight, reasonably analyzes the current situation of the urban ecological environment, and further comprehensively evaluates the quality of the urban ecological environment. The study shows that from 2013 to 2018, the comprehensive capacity of the city's ecological environment quality showed a steady upward trend, except that the natural disasters of floods and mudslides in 2014 had a certain degree of fluctuation. The comprehensive index of ecological environment quality has increased from 0.337 in 2013 to 0.412 in 2018. The overall level is still low, but the development speed is relatively stable. The urban ecological environment has been gradually improved, and society, economy, and nature have maintained a certain degree of sustainable development.

Optimal Pricing Model of Environmental Quality Index Futures from the Perspective of Green Finance

In order to establish the optimal price of low-carbon products and set the optimal target carbon emissions in the production cycle so as to maximize profits, this paper proposes the optimal pricing model of environmental quality index futures from the perspective of green finance. This paper mainly studies the optimal pricing and carbon emission strategy of low-carbon products of a single enterprise under the carbon trading system based on the quota system. When enterprises join the carbon trading system, how to optimally determine their target carbon emissions in the production cycle and the optimal price of their low-carbon products in order to maximize their own profits, based on the carbon emission quotas freely allocated by the government in the face of exogenous carbon trading prices and different consumer preferences for low-carbon products in the market, is discussed in detail. The experimental results show that the low marginal cost of emission reduction will urge enterprises to implement low-emission strategies as much as possible, and the marginal cost of a specific size will enable enterprises to implement low-carbon policies with low emissions, and the optimal emissions will decline with the increase of carbon prices. However, from the perspective of 50–300 carbon trading prices, the profits generated are less than those of the minimum emission strategy, and the difference between the two is generally one order of magnitude. Therefore, if the internal conditions permit and the external carbon trading price is reasonable, enterprises should reduce carbon emissions as much as possible. The properties obtained from the model analysis and the numerical conclusions given in the example part reflect the relationship between the enterprise product pricing, the marginal cost of emission reduction, and the target emission decision-making and draw some valuable information for the enterprise and the government decision-making.