Distribution of SO2 and the Meteorological Factors in Yantai Urban Areas from 2008 to 2010

2011 ◽  
Vol 356-360 ◽  
pp. 2118-2123 ◽  
Author(s):  
Ming Chang ◽  
Wei Liu ◽  
Xiu Li Zhang ◽  
Yong Zhi Ji ◽  
Jian Guo Song
Keyword(s):  
Urban Areas ◽  
Meteorological Factors ◽  
Impact Factors ◽  
Residential Areas ◽  
Temporal And Spatial Distribution ◽  
Factors Affecting ◽  
Pollutant Concentrations ◽  
Distribution Features ◽  
Main Factors ◽  
Temporal And Spatial

The purpose is to study the temporal and spatial distribution features of SO2 and its relationship with impact factors such as wind, humidity and precipitation in urban areas of Yantai. The results demonstrate that the emission of SO2 had been capable controlled from 2008 to 2010. The meteorological conditions also take the key part in spread of SO2, wind and precipitation are the main factors affecting of it in Yantai. Concentrations change significantly with seasons, which remain low in vast majority of periods. Contamination is generally concentrated in the range of major pollution sources within 7 kilometers. And it implies that after the reduction of SO2 pollutant concentrations, the planning and adjustment of industrial areas and residential areas still need to be paid attention.

Analysis of the Sensitivity of Impact Factors on the Stability of Expansion Freeway Slope

2013 ◽  
Vol 405-408 ◽  
pp. 1830-1833 ◽  
Author(s):  
Gen Chuan Luo ◽  
Zhong Ming He ◽  
Xin Tong Zhao
Keyword(s):  
Slope Angle ◽  
Soil Layer ◽  
Friction Angle ◽  
Test Method ◽  
Impact Factors ◽  
Factors Affecting ◽  
Orthogonal Test Method ◽  
Main Factors ◽  
The Stability ◽  
Method Analysis

By analysis its own characteristics of Reconstruction and Extension freeway slope, summary and presents the main factors affecting slope stability; then use orthogonal test method, analysis the result by Range Method, it indicated that the sensibility of impact factors on the Stability of Reconstruction and Extension Freeway Slope was in the following order: the slope angle after excavation, cohesion, weight of soil layer, internal friction angle, the slope angle before excavation, Cable length, Cable spacing.

scholarly journals Concentrations of Four Major Air Pollutants among Ecological Functional Zones in Shenyang, Northeast China

Atmosphere ◽  
2020 ◽  
Vol 11 (10) ◽  
pp. 1070 ◽  
Author(s):  
Liguang Li ◽  
Ziqi Zhao ◽  
Hongbo Wang ◽  
Yangfeng Wang ◽  
Ningwei Liu ◽  
...  
Keyword(s):  
Urban Areas ◽  
Air Pollutants ◽  
Correlation Coefficients ◽  
Air Pollutant ◽  
Liaoning Province ◽  
Industrial Zone ◽  
Residential Areas ◽  
Pollutant Concentrations ◽  
Functional Zones ◽  
Using Data

Air pollution is a critical urban environmental issue in China; however, the relationships between air pollutants and ecological functional zones in urban areas are poorly understood. Therefore, we analyzed the spatiotemporal characteristics of four major air pollutants (particulate matter less than or equal to 2.5 µm (PM2.5) and 10 µm (PM10) in diameter, SO2, and NO2) concentrations over five ecological functional zones in Shenyang, Liaoning Province, at hourly, seasonal, and annual scales using data collected from 11 monitoring stations over 2 years. We further assessed the relationships between these pollutants and meteorological conditions and land-use types at the local scale. Peaks in PM, SO2, and NO2 concentrations occurred at 08:00–09:00 and 23:00 in all five zones. Daytime PM concentrations were highest in the industrial zone, and those of SO2 and NO2 were highest in residential areas. All four air pollutants reached their highest concentrations in winter and lowest in summer. The highest mean seasonal PM concentrations were found in the industrial zone, and the highest SO2 and NO2 concentrations were found in residential areas. The mean annual PM and SO2 concentrations decreased in 2017 in all zones, while that of NO2 increased in all zones excluding the cultural zone. The natural reserve zone had the lowest concentrations of all pollutants at all temporal scales. Pollutant concentrations of PM2.5, PM10, SO2, and NO2 were correlated with visibility, and their correlation coefficients are 0.675, 0.579, 0.475, and 0.477. Land coverage with buildings and natural vegetation negatively and positively influence air pollutant concentrations, respectively.

Factors affecting temporal and spatial distribution of diatoms in Lake Michigan

2000 ◽  
Vol 27 (4) ◽  
pp. 1788-1794
Author(s):  
R. P. Barbiero ◽  
H. J. Carrick ◽  
J. B. Volerman ◽  
M. L. Tuchman
Keyword(s):  
Spatial Distribution ◽  
Lake Michigan ◽  
Temporal And Spatial Distribution ◽  
Factors Affecting ◽  
Temporal And Spatial

scholarly journals Temporal and Spatial Evolution Features of Precipitable Water in China during a Recent 65-Year Period (1951–2015)

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Hao Wang ◽  
Jianxin He
Keyword(s):  
Spatial Distribution ◽  
Water Vapor ◽  
Transition Period ◽  
Precipitable Water ◽  
Distribution Characteristics ◽  
Temporal And Spatial Distribution ◽  
Spatial Distribution Characteristics ◽  
Distribution Features ◽  
Temporal And Spatial ◽  
The Relationship

Water vapor in the atmosphere is not only an important greenhouse gas, but also an important factor that significantly affects the variations of global climate and water circulation. This study utilized the National Centers for Environmental Prediction (NCEP) and Climate Prediction Center Merged Analysis of Precipitation (CMAP) reanalysis data to probe the temporal and spatial distribution features of atmospheric precipitable water (PW) in China during a recent 65-year period (1951–2015), and the relationship between PW and actual precipitation was also studied. The temporal and spatial distribution characteristics of PW in China presented an overall decreasing spatial trend from the southeast to northwest direction. The spatial distribution pattern of the first eigenvector demonstrated that the PW in China shows nationwide variation features with a varying amount of PW across different regions. The year 1967 was further identified as an important transition period for the temporal and spatial distribution characteristics of the PW. We also found that the PW had inherent variability of around 30 years. Regarding the relationship with precipitation, PW was most closely correlated with precipitation in the northeastern region and the upper northwestern region in China. Different regions displayed different efficiencies for converting PW to precipitation. The conclusions are useful for understanding the long-term water vapor evolution and its potential effects on precipitation in China.

scholarly journals Index Decomposition Analysis on Factors Affecting Energy-Related Carbon Dioxide Emissions from Residential Consumption in Beijing

2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Fengyan Fan ◽  
Yalin Lei
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Carbon Dioxide Emissions ◽  
Decomposition Analysis ◽  
Impact Factors ◽  
Energy Structure ◽  
Factors Affecting ◽  
Index Decomposition ◽  
Urban And Rural Areas ◽  
The Impact

Beijing’s residential CO2emissions have become the main growth point of CO2emissions. However, the impact factors of the direct energy-related CO2emissions from residents in Beijing have not been previously evaluated. This paper accessed the key factors that affect the residents’ CO2emissions in Beijing from 1995 to 2015, using a newly built decomposition model with generalized Fisher index (GFI) and M-P model. The results were compared between urban and rural areas. Urban residential CO2emissions did not change during 1995–1999 but then grew rapidly after 1999, while rural residential CO2emissions fluctuated during the studied period. Increased per capita income is the most important pulling factor for the growth of residential CO2emissions, while energy consumption intensity is a decisive factor in inhibiting residential CO2emissions. Population size plays a pulling role in the growth of residential CO2emissions. Energy structure exerts a role in inhibiting residential CO2emissions, and its inhibition effect is stronger for urban residents. Average consumption propensity inhibits urban residential CO2emissions but has little effect on rural residential CO2emissions. The population migration from rural to urban areas in the urbanization process increases residential CO2emissions. To reduce residential CO2emissions, several recommendations have been proposed.

scholarly journals FACTORS AFFECTING THE CHANGE IN GROUND WATERS OCCURRENCE LEVELS IN THE TERRITORY OF TYUMEN CITY

2016 ◽  
pp. 18-24
Author(s):  
A. E. Vinogradova ◽  
T. V. Semenova
Keyword(s):  
Urban Areas ◽  
Residential Areas ◽  
Aeration Zone ◽  
Factors Affecting ◽  
Ground Waters ◽  
Land Water

One of the most dangerous and widespread events in Russia is the process of under flooding of urban areas. Only in the last ten years the flooded residential areas have doubled, and the process continues to develop rapidly. Tyumen is referred to those 1059 cities which suffer the consequences of this process. This article examines the factors affecting the condition of the groundwaters level, such as the lay of land, water-conducting properties and the aeration zone soils capacity.

scholarly journals Determination of factors affecting investment privalovs land cities

2021 ◽  
pp. 218-224
Author(s):  
Olena Slavinska ◽  
◽  
Yuliya Radzinska ◽  
Keyword(s):  
Land Use ◽  
Urban Areas ◽  
Methodological Approach ◽  
Key Factors ◽  
Factors Affecting ◽  
Stakeholder Groups ◽  
Main Factors ◽  
Definition Of

The aim of the article is identification of main factors influencing investment attractiveness of land in the cities of Ukraine. To achieve this goal the following tasks: determining trends and key factors in land use of cities; characteristics of land; the definition of urban areas and limitations in their use. Improved classification of the factors which allows for cartographic provision of land in cities and their investment potential, level of interaction between different stakeholder groups, areas of urban development, which allows to generate methodical toolkit for estimation of the level of investment attractiveness of land in cities. Define the factors and features of their influence on investment processes in the sphere of land use of cities of Ukraine. Prospects of further research is to develop a methodological approach to the evaluation of the level of investment attractiveness of land in cities and substantiation of measures on the increase of efficiency of their use.

scholarly journals The Temporal And Spatial Changes Of Beijing’s Pm 2.5 Concentration And Its Relationship With Meteorological Factors From 2015 To 2020

2021 ◽  
Vol 14 (3) ◽  
pp. 73-81
Author(s):  
Guo Peng ◽  
A. B. Umarova ◽  
G. S. Bykova
Keyword(s):  
Particulate Matter ◽  
Air Quality ◽  
Urban Areas ◽  
Meteorological Factors ◽  
Ambient Air ◽  
Average Concentration ◽  
Annual Average ◽  
Daily Average ◽  
Annual Average Concentration ◽  
Temporal And Spatial

Currently, Beijing is facing increasing serious air quality problems. Atmospheric pollutants in Beijing are mainly composed of particulate matter, which is a key factor leading to adverse effects on human health. This paper uses hourly data from 36 environmental monitoring stations in Beijing from 2015 to 2020 to obtain the temporal and spatial distribution of the mass concentration of particulate matter with a diameter smaller than 2.5 μm (PM2.5). The 36 stations established by the Ministry of Ecology and Environment and the Beijing Environmental Protection Monitoring Center and obtain continuous real-time monitoring of particulate matter. And the 36 stations are divided into 13 main urban environmental assessment points, 11 suburban assessment points, 1 control point, 6 district assessment points, and 5 traffic pollution monitoring points. The annual average concentration of PM2.5 in Beijing was 60 μg/m3 with a negative trend of approximately 14% year-1. In urban areas the annual average concentration of PM2.5 was 59 μg/m3, in suburbs 56 μg/m3, in traffic areas 63 μg/m3, and in district areas 62 μg/m3. From 2015 to 2020, in urban areas PM2.5 decreased by 14% year-1, in suburbs by 15% year -1, in traffic areas by 15% year-1, and in district areas by 12% year-1. The quarterly average concentrations of PM2.5 in winter andspring are higher than those in summer and autumn (64 μg/m3, 59 μg/m3, 45 μg/m3, 55 μg/m3, respectively). The influenceof meteorological factors on the daily average value of PM2.5 in each season was analysed. The daily average PM2.5 in spring, summer, autumn and winter is significantly negatively correlated with daily average wind speed, sunshine hours, and air pressure, and significantly positively correlated with daily average rainfall and relative humidity. Except for autumn, the daily average PM2.5 is positively correlated with temperature. Although Beijing’s PM2.5 has been declining since the adoption of the‘Air Pollution Prevention and Control Action Plan’, it is still far from the first level of the new ‘Ambient Air Quality Standard’(GB309S-2012) formulated by China in 2012.

Sign in / Sign up

Export Citation Format

Share Document