scholarly journals Mortality of silkworms due to air pollution: environmental indicators induced by ecological stress

2008 ◽  
Author(s):  
E. Kamilova ◽  
B. Tsarev
Keyword(s):  
Air Pollution ◽  
Environmental Indicators ◽  
Ecological Stress

scholarly journals Сomputer-based calculation of atmospheric pollutant emissions by automobile transport at controlled crossings

2021 ◽  
Vol 334 ◽  
pp. 02032
Author(s):  
Gennady Denisov ◽  
Vladimir Zelikov ◽  
Elena Tarasova ◽  
Vladimir Klyavin
Keyword(s):  
Air Pollution ◽  
State Standard ◽  
Environmental Conditions ◽  
Pollution Index ◽  
Environmental Indicators ◽  
Pollutant Emissions ◽  
Calculation Methods ◽  
Traffic Light ◽  
Atmospheric Pollutant ◽  
Atmospheric Air

The paper uses pollutant emissions calculation methods in accordance with GOST (All-Union State Standard) in combination with the method of mathematical statistics, which makes it possible to determine the amount of emissions from automobile transport, which is in line at a red traffic light in the area of a controlled intersection. The methods allow calculating such environmental indicators as the mass of pollutant emissions, the concentration of pollutants and the Air Pollution Index. The authenticity of this technique is confirmed by testing the hypothesis on the Pearson Law of distribution of pollutants. Based on the combined methodology, the software has been developed with the purpose to monitor atmospheric air pollution. This approach will make it possible to qualitatively assess the level of atmospheric air pollution and take timely measures in the event of dangerous environmental conditions.

scholarly journals Diagnostics of Natural Indicators of Ecological Safety of Rural Territories of the Region

2019 ◽  
Vol 62 ◽  
pp. 15002 ◽  
Author(s):  
A.A. Sidorov ◽  
N.V. Lazareva ◽  
I.I. Firulina ◽  
O.A. Sapova
Keyword(s):  
Land Use ◽  
Air Pollution ◽  
Rural Areas ◽  
Environmental Indicators ◽  
Ecological Safety ◽  
Wastewater Disposal ◽  
Ambiguous Situation ◽  
Anthropogenic Environment ◽  
Environmental Instability ◽  
Forest Use

Ecological safety of the territory plays an important role in the socio-economic regional welfare. The goal of the research is to define the condition of ecological safety of the Samara region, a large region of Russia. The objectives of research cover the evaluation of natural (gross and specific) environmental indicators of natural-anthropogenic environment of rural municipal areas for the period 2014-2017. Materials for the calculations were official statistics. Methods of description, comparison, mathematical analysis, logical constructions have been applied. As a result, natural and anthropogenic environmental instability, the ambiguous situation in the subregions and unresolved problems in land use, forest use, air pollution, water use, water supply and wastewater disposal, and waste management were identified. It is proposed to use the results that were obtained in strategic planning and improvement of measures to ensure sustainable development of rural areas.

scholarly journals Air Pollution Assessment in China: A Novel Group Multiple Criteria Decision Making Model under Uncertain Information

2021 ◽  
Vol 13 (4) ◽  
pp. 1686
Author(s):  
Abdollah Hadi-Vencheh ◽  
Yong Tan ◽  
Peter Wanke ◽  
Seyed Mohammadreza Loghmanian
Keyword(s):  
Decision Making ◽  
Air Pollution ◽  
Air Quality ◽  
Multiple Criteria Decision Making ◽  
Pollution Assessment ◽  
Environmental Indicators ◽  
Multiple Criteria ◽  
Air Pollutant ◽  
Uncertain Information ◽  
Global Issues

Assessment of and controlling air pollution are urgent global issues where international cooperation is deemed necessary. Although a very relevant data source can be obtained through continuous monitoring of air quality, measuring air pollutant concentrations is quite difficult when compared to other environmental indicators. We mainly have three different aims for the current study: (1) we propose the computation of the interval weights of decision makers (DMs) based on a group multiple criteria decision making (GMCDM) model; (2) we aim to rank the overall preferences of DMs by the possibility concepts; (3) we aim to evaluate the air quality in China using the most recent data based on our proposed method. We consider three monitoring stations, namely Luhu Park, Wanqingsha, and Tianhu, and the data for SO2, NO2, and PM10 are collected for November 2017, 2018, and 2019. The results from our innovative model show that November 2019 had the best air quality. Finally, robustness analyses are also performed to confirm the discriminatory power of the proposed approach.

Industrial Pollution, Social Trust, and Civic Engagement: A Nationwide Study of the Socioenvironmental Nature of Social Capital

2022 ◽  
pp. 073112142110677
Author(s):  
Phylicia Xin Yi Lee Brown
Keyword(s):  
Social Capital ◽  
Air Pollution ◽  
Civic Engagement ◽  
Industrial Pollution ◽  
Social Trust ◽  
Strong Support ◽  
Well Being ◽  
Environmental Indicators ◽  
Data Sets ◽  
Toxic Release Inventory

I conduct a nationwide investigation of the relationship that toxic industrial pollution and the facilities that produce it have with trust and civic engagement within communities. Data on pollution exposure come from the Risk-Screening Environmental Indicators Geographic Microdata (RSEI-GM) and Toxic Release Inventory (TRI) data sets for the years 1995 to 1999. Data on trust and civic engagement come from the 2000 restricted-access Social Capital Community Benchmark Survey (SCCBS). Statistical analyses provide strong support for Freudenburg and Jones’ conceptualization of corrosive communities and indicate that exposures to more toxic air pollution associate negatively with various measures of trust, and that increased numbers of TRI facilities associate negatively with various measures of civic engagement. The implication is that exposure to toxic industrial air pollution and the facilities that produce it not only adversely affect the physical health of nearby communities, but also their social well-being and underlying capacities for collective action.

Trade liberalization and the environment in Costa Rica

1999 ◽  
Vol 4 (3) ◽  
pp. 357-373 ◽  
Author(s):  
DAVID G. ABLER ◽  
ADRIÁN G. RODRÍGUEZ ◽  
JAMES S. SHORTLE
Keyword(s):  
Air Pollution ◽  
Costa Rica ◽  
Trade Liberalization ◽  
Policy Option ◽  
Environmental Indicators ◽  
The Other ◽  
Hazardous Wastes ◽  
Monte Carlo Experiment ◽  
Cge Model ◽  
Factor Productivity

This study examines the environmental impacts of trade liberalization in Costa Rica. A CGE model is constructed which includes eight environmental indicators covering deforestation, pesticides, overfishing, hazardous wastes, inorganic wastes, organic wastes, greenhouse gases, and air pollution. Three trade liberalization scenarios are examined. Two sets of analyses are conducted for each scenario, one in which technologies do not change in response to trade liberalization and the other in which total factor productivity in each sector changes in response to changes in imports of machinery and equipment. To account for uncertainty regarding values of the model's parameters, a Monte Carlo experiment is conducted for each policy option. The impacts of trade liberalization on the environmental indicators are generally negative in sign but small or moderate in magnitude, both when technology is constant and when technology is allowed to vary.

Air Pollution

2019 ◽  
Author(s):  
Christian Seigneur
Keyword(s):  
Air Pollution
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