scholarly journals Dust deposition and ambient PM<sub>10</sub> concentration in central Asia: Spatial and temporal variability

2016 ◽  
Author(s):  
Xiao-Xiao Zhang ◽  
Brenton Sharratt ◽  
Xi Chen ◽  
Zi-Fa Wang ◽  
Lian-You Liu ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Central Asia ◽  
Dust Storm ◽  
Temporal Variability ◽  
Air Pollutant ◽  
Pm10 Concentration ◽  
Dust Deposition ◽  
Annual Average ◽  
Southern Boundary ◽  
Southern Xinjiang

Abstract. Aeolian dust transport and deposition are important geophysical processes which influence global bio-geochemical cycles. Currently, reliable deposition data are scarce in central Asia. Located in the eastern part of central Asia, Xinjiang Province of northwestern China has long played a strategic role in cultural and economic trade between Asia and Europe. In this paper, we investigated the spatial distribution and temporal variation in dust deposition and ambient PM10 (particulate matter ≤ 10 µm in aerodynamic diameter) concentration from 2000 to 2013 in Xinjiang Province. This variation was assessed using environmental monitoring records from 14 stations in the province. Over the 14 years, annual average dust deposition across stations in the province ranged from 255.7 to 421.4 t km−2. Annual dust deposition was greater in southern Xinjiang (663.6 t km−2) than northern (147.8 t km−2) and eastern Xinjiang (194.9 t km−2). Annual average PM10 concentration across stations in the province varied from 100 to 156 µg m−3 and was 70, 115 and 239 µg m−3 in northern, eastern and southern Xinjiang, respectively. The highest annual dust deposition (1394.1 t km−2) and ambient PM10 concentration (582 µg m−3) were observed in Hotan which is located in southern Xinjiang and at the southern boundary of the Taklamakan Desert. Dust deposition was more intense during the spring and summer than other seasons. PM10 was the main air pollutant that significantly influenced regional air quality. Annual average ambient PM10 concentration increased logarithmically with dust deposition (R2 ≥ 0.88). The arid climate likely influenced the high dust deposition and PM10 concentration in the region. While the annual average dust storm frequency remained unchanged from 2000 to 2013, there was a positive relationship between dust storm days and dust deposition and PM10 concentration across stations. This study suggests that sand storms are a major factor affecting the temporal variability and spatial distribution of dust deposition in central Asia.

scholarly journals Dust deposition and ambient PM<sub>10</sub> concentration in northwest China: spatial and temporal variability

2017 ◽  
Vol 17 (3) ◽  
pp. 1699-1711 ◽  
Author(s):  
Xiao-Xiao Zhang ◽  
Brenton Sharratt ◽  
Xi Chen ◽  
Zi-Fa Wang ◽  
Lian-You Liu ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
East Asia ◽  
Dust Storm ◽  
Temporal Variability ◽  
Northwest China ◽  
Pm10 Concentration ◽  
Dust Deposition ◽  
Annual Average ◽  
Southern Boundary ◽  
Southern Xinjiang

Abstract. Eolian dust transport and deposition are important geophysical processes which influence global bio-geochemical cycles. Currently, reliable deposition data are scarce in central and east Asia. Located at the boundary of central and east Asia, Xinjiang Province of northwestern China has long played a strategic role in cultural and economic trade between Asia and Europe. In this paper, we investigated the spatial distribution and temporal variation in dust deposition and ambient PM10 (particulate matter in aerodynamic diameter  ≤  10 µm) concentration from 2000 to 2013 in Xinjiang Province. This variation was assessed using environmental monitoring records from 14 stations in the province. Over the 14 years, annual average dust deposition across stations in the province ranged from 255.7 to 421.4 t km−2. Annual dust deposition was greater in southern Xinjiang (663.6 t km−2) than northern (147.8 t km−2) and eastern Xinjiang (194.9 t km−2). Annual average PM10 concentration across stations in the province varied from 100 to 196 µg m−3 and was 70, 115 and 239 µg m−3 in northern, eastern and southern Xinjiang, respectively. The highest annual dust deposition (1394.1 t km−2) and ambient PM10 concentration (352 µg m−3) were observed in Hotan, which is located in southern Xinjiang and at the southern boundary of the Taklamakan Desert. Dust deposition was more intense during the spring and summer than other seasons. PM10 was the main air pollutant that significantly influenced regional air quality. Annual average dust deposition increased logarithmically with ambient PM10 concentration (R2 ≥  0.81). While the annual average dust storm frequency remained unchanged from 2000 to 2013, there was a positive relationship between dust storm days and dust deposition and PM10 concentration across stations. This study suggests that sand storms are a major factor affecting the temporal variability and spatial distribution of dust deposition in northwest China.

Aeolian dust in Central Asia: Spatial distribution and temporal variability

2020 ◽  
Vol 238 ◽  
pp. 117734 ◽  
Author(s):  
Xiao-Xiao Zhang ◽  
Candis Claiborn ◽  
Jia-Qiang Lei ◽  
Joseph Vaughan ◽  
Shi-Xin Wu ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Central Asia ◽  
Temporal Variability ◽  
Aeolian Dust

scholarly journals The Spatial-temporal Variation of Precipitation and Temperature in Xinjiang in Recent 50 Years

2019 ◽  
Vol 1 ◽  
pp. 1-3
Author(s):  
Yuzhu Wang ◽  
Haowen Yan ◽  
Xiaoping Wang ◽  
Zhuo Wang
Keyword(s):  
Spatial Distribution ◽  
Temporal Variation ◽  
Annual Average ◽  
Northern Xinjiang ◽  
Average Temperature ◽  
Local Areas ◽  
Increasing Trend ◽  
Annual Average Temperature ◽  
Precipitation And Temperature ◽  
Southern Xinjiang

<p><strong>Abstract.</strong> Research purpose: To master the spatial-temporal evolution of precipitation and temperature in Xinjiang, and to provide reference for industrial, agricultural and transportation industries in the study area. Date and Rrsearch methods: Based on monthly precipitation and temperature data of 64 weather stations in Xinjiang in recent 50 years，the spatial-temporal variation of precipitation and temperature were analyzed by the methods of simple linear regression, 5-year moving average, radial basis function interpolation, sliding -t test, accumulated variance analysis, Mann-Kendall and morlet wavelet transform.</p><p>Research conclusion:</p><p>(1) The annual average precipitation (8.65&amp;thinsp;mm/10&amp;thinsp;a) in Xinjiang showed a significant increasing trend, and the increasing trend in local areas was:Northern Xinjiang (14.83&amp;thinsp;mm/10&amp;thinsp;a) &amp;gt; Southern Xinjiang(7.76&amp;thinsp;mm/10&amp;thinsp;a) &amp;gt; Eastern Xinjiang (3.37&amp;thinsp;mm/10&amp;thinsp;a).</p><p>(2) The spatial distribution of tendency rate of annual precipitation is basically the same as the spring, summer and autumn in Xinjiang, the tendency rate decreases from northwest to southeast, but the tendency rate of winter precipitation decreases from north to south.</p><p>(3) The precipitation of Xinjiang changed abruptly in 1989, Southern Xinjiang was relatively earlier (1986), Northern Xinjiang (1991) and Eastern Xinjiang (1990) were relatively delay.</p><p>(4) The main cycle of precipitation was 26&amp;ndash;30&amp;thinsp;a in Xinjiang and local areas, which predicts that the next 10 years will be a wet season.</p><p>(5) The annual average temperature (0.44&amp;thinsp;°C / 10&amp;thinsp;a) in Xinjiang is very significant, and the temperature increase trend in local areas is: Eastern Xinjiang (0.58&amp;thinsp;°C / 10&amp;thinsp;a) &amp;gt; Northern Xinjiang (0.45&amp;thinsp;°C / 10&amp;thinsp;a) &amp;gt; Southern Xinjiang (0.31&amp;thinsp;°C / 10&amp;thinsp;a).</p><p>(6) The spatial distribution of tendency rate of annual average temperature is basically the same as the four seasons in Xinjiang, and the tendency rate showed a decreasing trend from northeast to southwest.</p><p>(7) The temperature change of Xinjiang occurred in 1988,Northern Xinjiang was 1988 （relatively earlier), Southern Xinjiang and Eastern Xinjiang were 1992 (relatively delay).</p><p>(8) The main cycle of temperature in Xinjiang and local areas was 25&amp;ndash;30&amp;thinsp;a. It was predicted that the next 10 years would be high temperature period.</p>

scholarly journals Long-term effects of fine particulate matter exposure on the progression of arterial stiffness

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Dianqin Sun ◽  
Yue Liu ◽  
Jie Zhang ◽  
Jia Liu ◽  
Zhiyuan Wu ◽  
...  
Keyword(s):  
Arterial Stiffness ◽  
Health Management ◽  
Ankle Brachial Index ◽  
Population Data ◽  
Average Concentration ◽  
Air Pollutant ◽  
Stiffness Index ◽  
Long Term Effects ◽  
Annual Average

Abstract Background Prior studies have investigated the association of PM2.5 exposure with arterial stiffness measured by ankle-brachial index (ABI) and brachial-ankle pulse wave velocity (baPWV), of which conclusions are inconsistent. Moreover, limited evidence is available on the contributory role of PM2.5 exposure on the arterial stiffness index. Methods We used the population data from the Beijing Health Management Cohort and conducted a longitudinal analysis. The annual average concentration of PM2.5 for 35 air pollutant monitoring sites in Beijing from 2014 to 2018 was used to estimate individual exposure by different interpolation methods. Multivariate logistic regression and linear regression were conducted to assess the association of annual average PM2.5 concentration with the incidence of higher baPWV, the progression of ABI, and baPWV, respectively. Results The association between PM2.5 exposure and incidence of higher baPWV was not significant (OR = 1.11, 95% CI: 0.82–1.50, P = 0.497). There was − 0.16% (95% CI: − 0.43-0.11%) decrease in ABI annually and 1.04% (95% CI: 0.72–1.37%) increase in baPWV annually with each increment of 10 μg/m3 average PM2.5 concentration. Conclusions Long-term exposure to PM2.5 was associated with the progression of arterial stiffness in Beijing. This study suggests that improvement of air quality may help to prevent arterial stiffness.

Using 137Cs to estimate wind erosion and dust deposition on grassland in Inner Mongolia-selection of a reference site and description of the temporal variability

2011 ◽  
Vol 351 (1-2) ◽  
pp. 293-307 ◽  
Author(s):  
Roger Funk ◽  
Yong Li ◽  
Carsten Hoffmann ◽  
Matthias Reiche ◽  
Zhuodong Zhang ◽  
...  
Keyword(s):  
Temporal Variability ◽  
Inner Mongolia ◽  
Wind Erosion ◽  
Reference Site ◽  
Dust Deposition ◽  
Selection Of

scholarly journals Analysis of Temporal Variations of Air Pollutant Concentrations in Ogoni Area, Niger Delta Region, Nigeria

2021 ◽  
pp. 63-73
Author(s):  
B. Yorkor ◽  
T. G. Leton ◽  
J. N. Ugbebor
Keyword(s):  
Air Pollution ◽  
Temporal Variability ◽  
Niger Delta ◽  
Air Pollutants ◽  
Temporal Variations ◽  
Time Of Day ◽  
Air Pollutant ◽  
Pollutant Concentrations ◽  
Hourly Data ◽  
Air Pollutant Concentrations

This study investigated the temporal variations of air pollutant concentrations in Ogoni area, Niger Delta, Nigeria. The study used hourly data measured over 8 hours for 12 months at selected locations within the area. The analyses were based on time series and time variations techniques in Openair packages of R programming software. The variations of air pollutant concentrations by time of day and days of week were simulated. Hours of the day, days of the week and monthly variations were graphically simulated. Variations in the mean concentrations of air pollutants by time were determined at 95 % confidence intervals. Sulphur dioxide (SO2), Nitrogen dioxide (NO2), ground level Ozone (O3) and fine particulate matter (PM2.5) concentrations exceeded permissible standards. Air pollutant concentrations showed increase in January, February, November and December compared to other months. Simulation showed that air pollutants varied significantly by hours-of-the-day and days-of-the-week and months-of-the-year. Analysis of temporal variability revealed that air pollutant concentrations increased during weekdays and decreased during weekends. The temporal variability of air pollutants in Ogoni area showed that anthropogenic activities were the main sources of air pollution in the area, therefore further studies are required to determine air pollutant dispersion pattern and evaluation the potential sources of air pollution in the area.

Comment on 'Impacts of aeolian dust deposition on phytoplankton dynamics in Queensland coastal waters' by Shaw et al. (2008)

2010 ◽  
Vol 61 (4) ◽  
pp. 502 ◽  
Author(s):  
Doug Mackie
Keyword(s):  
Causative Agent ◽  
Coastal Waters ◽  
Dust Storm ◽  
Phytoplankton Dynamics ◽  
Dust Deposition ◽  
Aeolian Dust

The central premise of the paper by Shaw et al. (2008) (hereafter SGM) is that phytoplankton in coastal waters of Queensland, Australia, were nutrient-limited and that biomass increased immediately following a large dust storm in October 2002. I will show that (i) the timing of the phytoplankton response precludes the dust storm as a causative agent for chlorophyll increases and (ii) it is not clear that there was actually any change in chlorophyll in response to the dust storm.

Sensitivity of simulating a dust storm over Central Asia to different dust schemes using the WRF-Chem model

2019 ◽  
Vol 207 ◽  
pp. 16-29 ◽  
Author(s):  
Tiangang Yuan ◽  
Siyu Chen ◽  
Jianping Huang ◽  
Xiaorui Zhang ◽  
Yuan Luo ◽  
...  
Keyword(s):  
Central Asia ◽  
Dust Storm
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