Spatial-Temporal Dynamics of Disease Burden Attributable to Pm2.5 Exposure in China From 2000 to 2016

2021 ◽  
Author(s):  
Ting Cao
Keyword(s):  
Policy Making ◽  
Disease Burden ◽  
Temporal Dynamics ◽  
Comprehensive Evaluation ◽  
Fine Particulate Matter ◽  
Economic Loss ◽  
Northwest China ◽  
Economic Losses ◽  
Air Pollution Control ◽  
Chinese Yuan

Abstract In recent years, long-term exposure to ambient fine particulate matter (PM2.5) has slowly increased both morbidity and mortality for Chinese people, becoming a leading problem for public health efforts. However, spatial-temporal dynamics of disease burden attributable to PM2.5 exposure still lacks a comprehensive evaluation so as to provide inadequate supports for policy making and improvement. Here, we used the exposure-response function to derive the spatial-temporal dynamics of disease burden attributable to PM2.5 pollution in China. We found the fact that economic loss attributable to PM2.5 increased by 93% from 35 billion Chinese Yuan (95% CI: 14-52) to 536 billion Chinese Yuan (95%CI: 236-753) during the period of 16 years. Digging further, we discovered a substantiate level of regional differences, with the disease burden being the most severe in East China and the least severe in the Northwest China. Other than that, there existed a spatial aggregation of health-related economic losses among Chinese cities. Our paper made an evaluation on the spatial-temporal dynamics of health effects attributed to PM2.5, an evaluation that could provide more insights to future policy making of the air pollution control for China and other developing countries.

scholarly journals Disease Burden Attributable to PM2.5 Exposure in China from 2000 to 2016

2021 ◽  
Vol 4 (4) ◽  
pp. 48-54
Author(s):  
Ting Cao
Keyword(s):  
Disease Burden ◽  
Temporal Dynamics ◽  
Fine Particulate Matter ◽  
Economic Loss ◽  
Northwest China ◽  
Air Pollution Control ◽  
Exposure Response ◽  
Fine Particulate ◽  
Chinese Yuan

Long-term exposure to ambient fine particulate matter (PM2.5) has slowly increased both the morbidity and mortality among Chinese people; becoming a leading problem for public health efforts. In this study, the exposure-response function was used to derive the spatial-temporal dynamics of disease burden attributable to PM2.5 pollution in China. It was found that the economic loss attributable to PM2.5 increased by 93% from 35 billion Chinese yuan to 536 billion Chinese yuan within the period of 16 years. Digging further, a substantiate level of regional differences was discovered with the disease burden being the most severe in East China and the least severe in Northwest China. This article can provide more insights for future air pollution control in China.

scholarly journals Quantifying the Sources of the Severe Haze over the Southern Hebei Using the CMAQ Model

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Jing Yang ◽  
Pu Zhang ◽  
Chenchen Meng ◽  
Jie Su ◽  
Zhe Wei ◽  
...  
Keyword(s):  
Pollution Control ◽  
Policy Making ◽  
Fine Particulate Matter ◽  
Mesoscale Modeling ◽  
Air Pollution Control ◽  
Air Quality Model ◽  
Quality Model ◽  
Fine Particulate ◽  
System Generation ◽  
Haze Pollution

The Southern Hebei of China has experienced an obvious increase of the haze occurrence frequency in the recent years. It has turned out to be one of the most seriously polluted areas in China. This study is aimed at quantifying the sources of the serious haze pollution over the Southern Hebei area, using the Mesoscale Modeling System Generation 5 (MM5) and the Models-3/Community Multiscale Air Quality Model (CMAQ) modeling system. The sectoral contributions by the local and the surrounding regions to the fine particulate matter (PM2.5) concentrations in the two representative cities, Shijiazhuang and Xingtai, were analyzed by applying the method of scenario analysis. It will provide useful information to the policy making in the severe air pollution control in the Southern Hebei area.

scholarly journals Health and Economic Loss Assessment of PM2.5 Pollution during 2015–2017 in Gansu Province, China

2020 ◽  
Vol 17 (9) ◽  
pp. 3253
Author(s):  
Qin Liao ◽  
Wangqiang Jin ◽  
Yan Tao ◽  
Jiansheng Qu ◽  
Yong Li ◽  
...  
Keyword(s):  
Health Economic ◽  
Fine Particulate Matter ◽  
Economic Loss ◽  
Health Impact ◽  
Gansu Province ◽  
Capital City ◽  
Economic Losses ◽  
Loss Assessment ◽  
Per Capita ◽  
Log Linear

Many studies have reported that air pollution, especially fine particulate matter (PM2.5), has a significant impact on health and causes economic loss. Gansu Province is in the northwest of China, which is a typical economically underdeveloped area. However, few studies have evaluated the economic loss of PM2.5 related to health effects in this province. In this study, a log-linear exposure-response function was used to estimate the health impact of PM2.5 in 14 cities in Gansu Province from 2015 to 2017, and the amended human capital (AHC) and cost of illness (COI) method were used to evaluate the related economic loss caused by the health impact from PM2.5. The results show that the estimated total number of health endpoints attributed to PM2.5 pollution were 1,644,870 (95%CI: 978,484–2,215,921), 1,551,447 (95%CI: 917,025–2,099,182) and 1,531,372 (95%CI: 899,769–2,077,772) in Gansu Province from 2015 to 2017, respectively. Correspondingly, the economic losses related to health damage caused by PM2.5 pollution were 42,699 (95%CI: 32,380–50,768) million Chinese Yuan (CNY), 43,982 (95%CI: 33,305–52,386) million CNY and 44,261 (95%CI: 33,306–52,954) million CNY, which were equivalent to 6.45% (95%CI: 4.89%–7.67%), 6.28% (95%CI: 4.75%–7.48%), and 5.93% (95%CI: 4.64%–7.10%) of the region Gross Domestic Product (GDP) from 2015 to 2017, respectively. It could be seen that the proportions of health economic loss to GDP were generally high, although the proportion had a slight downward trend. The economic loss from chronic bronchitis and all-cause mortality accounted for more than 94% of the total economic loss. The health impact, economic loss and per capita economic loss in Lanzhou, the provincial capital city of Gansu, were obviously higher than other cities from the same province. The economic loss in Linxia accounted for the highest proportion of GDP. The health impacts in the Hexi region, including the cities of Jiuquan, Jiayuguan, Zhangye, Jinchang and Wuwei, were generally lower, but the economic loss and per capita economic loss were still higher. We also found that urbanization and industrialization were highly correlated with health economic loss caused by PM2.5 pollution. In conclusion, the PM2.5-related health economic burden in Gansu Province was serious. As an economically underdeveloped region, it was very important to further adopt rigid and effective pollution control policies.

scholarly journals Source sector and fuel contributions to ambient PM2.5 and attributable mortality across multiple spatial scales

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Erin E. McDuffie ◽  
Randall V. Martin ◽  
Joseph V. Spadaro ◽  
Richard Burnett ◽  
Steven J. Smith ◽  
...  
Keyword(s):  
Atmospheric Chemistry ◽  
Disease Burden ◽  
Transport Model ◽  
Comprehensive Evaluation ◽  
Spatial Scales ◽  
Fine Particulate Matter ◽  
Attributable Mortality ◽  
Chemistry Transport Model ◽  
Multiple Spatial Scales ◽  
Anthropogenic Contributions

AbstractAmbient fine particulate matter (PM2.5) is the world’s leading environmental health risk factor. Reducing the PM2.5 disease burden requires specific strategies that target dominant sources across multiple spatial scales. We provide a contemporary and comprehensive evaluation of sector- and fuel-specific contributions to this disease burden across 21 regions, 204 countries, and 200 sub-national areas by integrating 24 global atmospheric chemistry-transport model sensitivity simulations, high-resolution satellite-derived PM2.5 exposure estimates, and disease-specific concentration response relationships. Globally, 1.05 (95% Confidence Interval: 0.74–1.36) million deaths were avoidable in 2017 by eliminating fossil-fuel combustion (27.3% of the total PM2.5 burden), with coal contributing to over half. Other dominant global sources included residential (0.74 [0.52–0.95] million deaths; 19.2%), industrial (0.45 [0.32–0.58] million deaths; 11.7%), and energy (0.39 [0.28–0.51] million deaths; 10.2%) sectors. Our results show that regions with large anthropogenic contributions generally had the highest attributable deaths, suggesting substantial health benefits from replacing traditional energy sources.

Fertiliser evenness - losses and costs: A study on the economic benefits of uniform applications of fertiliser

1999 ◽  
pp. 215-220 ◽  
Author(s):  
R. Horrell ◽  
A.K. Metherell ◽  
S. Ford ◽  
C. Doscher
Keyword(s):  
Crop Yields ◽  
Cumulative Effect ◽  
Economic Loss ◽  
Economic Benefits ◽  
Significant Loss ◽  
Economic Losses ◽  
Financial Return ◽  
Spread Pattern ◽  
Fertiliser Application ◽  
Seed Crops

Over two million tonnes of fertiliser are applied to New Zealand pastures and crops annually and there is an increasing desire by farmers to ensure that the best possible economic return is gained from this investment. Spreading distribution measurements undertaken by Lincoln Ventures Ltd (LVL) have identified large variations in the evenness of fertiliser application by spreading machines which could lead to a failure to achieve optimum potential in some crop yields and to significant associated economic losses. To quantify these losses, a study was undertaken to calculate the effect of uneven fertiliser application on crop yield. From LVL's spreader database, spread patterns from many machines were categorised by spread pattern type and by coefficient of variation (CV). These patterns were then used to calculate yield losses when they were combined with the response data from five representative cropping and pastoral situations. Nitrogen fertiliser on ryegrass seed crops shows significant production losses at a spread pattern CV between 30% and 40%. For P and S on pasture, the cumulative effect of uneven spreading accrues, until there is significant economic loss occurring by year 3 for both the Waikato dairy and Southland sheep and beef systems at CV values between 30% and 40%. For nitrogen on pasture, significant loss in a dairy system occurs at a CV of approximately 40% whereas for a sheep and beef system it is at a CV of 50%, where the financial return from nitrogen application has been calculated at the average gross revenue of the farming system. The conclusion of this study is that the current Spreadmark standards are a satisfactory basis for defining the evenness requirements of fertiliser applications in most circumstances. On the basis of Spreadmark testing to date, more than 50% of the national commercial spreading fleet fails to meet the standard for nitrogenous fertilisers and 40% fails to meet the standard for phosphatic fertilisers.Keywords: aerial spreading, crop response, economic loss, fertiliser, ground spreading, striping, uneven application, uneven spreading, yield loss

scholarly journals Quantifying Air Pollutant Variations during COVID-19 Lockdown in a Capital City in Northwest China

Atmosphere ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 788
Author(s):  
Rong Feng ◽  
Hongmei Xu ◽  
Zexuan Wang ◽  
Yunxuan Gu ◽  
Zhe Liu ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Rural Areas ◽  
Vehicle Emissions ◽  
Motor Vehicle ◽  
Northwest China ◽  
Air Pollutant ◽  
Capital City ◽  
Air Pollution Control ◽  
Motor Vehicle Emissions

In the context of the outbreak of coronavirus disease 2019 (COVID-19), strict lockdown policies were implemented to control nonessential human activities in Xi’an, northwest China, which greatly limited the spread of the pandemic and affected air quality. Compared with pre-lockdown, the air quality index and concentrations of PM2.5, PM10, SO2, and CO during the lockdown reduced, but the reductions were not very significant. NO2 levels exhibited the largest decrease (52%) during lockdown, owing to the remarkable decreased motor vehicle emissions. The highest K+ and lowest Ca2+ concentrations in PM2.5 samples could be attributed to the increase in household biomass fuel consumption in suburbs and rural areas around Xi’an and the decrease in human physical activities in Xi’an (e.g., human travel, vehicle emissions, construction activities), respectively, during the lockdown period. Secondary chemical reactions in the atmosphere increased in the lockdown period, as evidenced by the increased O3 level (increased by 160%) and OC/EC ratios in PM2.5 (increased by 26%), compared with pre-lockdown levels. The results, based on a natural experiment in this study, can be used as a reference for studying the formation and source of air pollution in Xi’an and provide evidence for establishing future long-term air pollution control policies.

scholarly journals Quantification of PV Power and Economic Losses Due to Soiling in Qatar

2021 ◽  
Vol 13 (6) ◽  
pp. 3364
Author(s):  
Amr Zeedan ◽  
Abdulaziz Barakeh ◽  
Khaled Al-Fakhroo ◽  
Farid Touati ◽  
Antonio S. P. Gonzales
Keyword(s):  
Output Power ◽  
Power Plants ◽  
Economic Loss ◽  
Economic Losses ◽  
Energy Yield ◽  
Solar Pv ◽  
Financial Loss ◽  
Grid Systems ◽  
Dust Density

Soiling losses of photovoltaic (PV) panels due to dust lead to a significant decrease in solar energy yield and result in economic losses; this hence poses critical challenges to the viability of PV in smart grid systems. In this paper, these losses are quantified under Qatar’s harsh environment. This quantification is based on experimental data from long-term measurements of various climatic parameters and the output power of PV panels located in Qatar University’s Solar facility in Doha, Qatar, using a customized measurement and monitoring setup. A data processing algorithm was deliberately developed and applied, which aimed to correlate output power to ambient dust density in the vicinity of PV panels. It was found that, without cleaning, soiling reduced the output power by 43% after six months of exposure to an average ambient dust density of 0.7 mg/m3. The power and economic loss that would result from this power reduction for Qatar’s ongoing solar PV projects has also been estimated. For example, for the Al-Kharasaah project power plant, similar soiling loss would result in about a 10% power decrease after six months for typical ranges of dust density in Qatar’s environment; this, in turn, would result in an 11,000 QAR/h financial loss. This would pose a pressing need to mitigate soiling effects in PV power plants.

scholarly journals Prevalence of gastrointestinal parasites in free-range yaks (Bos grunniens) in Gansu Province, Northwest China

2019 ◽  
Vol 15 (1) ◽  
Author(s):  
Si-Yuan Qin ◽  
Ming-Yang Yin ◽  
Guang-Yao Song ◽  
Qi-Dong Tan ◽  
Jin-Lei Wang ◽  
...  
Keyword(s):  
Northwest China ◽  
Gansu Province ◽  
Gastrointestinal Parasites ◽  
Economic Losses ◽  
Parasitic Infections ◽  
Cattle Industry ◽  
Free Range ◽  
Bos Grunniens ◽  
High Prevalence ◽  
Different Seasons

Abstract Background Little information about the prevalence of gastrointestinal parasites in yaks (Bos grunniens) in northwest China is available. Therefore, the objective of the study was to quantify faecal egg counts of gastrointestinal parasites (helminths and coccidia) in free-range yaks from Gannan Tibetan Autonomous Prefecture, Gansu Province, Northwest China. Results Parasites were detected in 290 of 733 (39.56%) faecal samples. The results showed that Strongylidae, Trichuris spp. and Eimeria spp. were detected all year round, Strongyloides papillosus was detected in autumn and summer, and Nematodirus spp. was detected in both autumn and spring. In contrast, Fasciola spp. was only detected in spring. The prevalence rates of parasitic infections in different seasons were significantly different. Conclusions To our knowledge, this is the first investigation of gastrointestinal parasites in yaks (Bos grunniens) in Gansu, China. The results demonstrated a high prevalence of gastrointestinal parasitic infections, specifically GN infections, in yaks in GTAP and these infections can cause economic losses to the local cattle industry.

On Analysis Economic Loss Appraisal Method for Geological Disasters

2012 ◽  
Vol 594-597 ◽  
pp. 2272-2276
Author(s):  
Shi Gui Li ◽  
Qing Lin Yi ◽  
Juan Juan Wu
Keyword(s):  
Reference Value ◽  
Economic Loss ◽  
Economic Losses ◽  
Geological Disasters ◽  
Effective Evaluation ◽  
Valuation Method ◽  
Geological Disaster ◽  
Appraisal Method ◽  
Qianjiangping Landslide ◽  
China’S Economy

China is one of the most serious national which does harm to geological disasters, and the geological disasters have effect on China’s economy. Therefore, the effective evaluation for the economic losses caused by geological disasters has some reference value. This paper mainly introduces the geological disaster economic losses structure drawing and evaluated methods which include human capital method, shadow valuation method, market valuation method, investigation appraisal method and coefficient of proportionality method, and analyzes different economic losses should adopt different appraisal method. And take the Qianjiangping landslide for instant, this paper introduces how to evaluate landslide disasters economic loss. The idea and method have certain guiding significance to geological disaster economic losses evaluation.

scholarly journals Direct and indirect economic impacts of drought in the agri-food sector in the Ebro River basin (Spain)

2013 ◽  
Vol 13 (10) ◽  
pp. 2679-2694 ◽  
Author(s):  
M. Gil ◽  
A. Garrido ◽  
N. Hernández-Mora
Keyword(s):  
Water Scarcity ◽  
Agricultural Sector ◽  
Economic Impacts ◽  
Economic Loss ◽  
Mitigation Strategies ◽  
Economic Losses ◽  
Drought Risk ◽  
Drought Event ◽  
Drought Impacts ◽  
Indirect Impacts

Abstract. The economic evaluation of drought impacts is essential in order to define efficient and sustainable management and mitigation strategies. The aim of this study is to evaluate the economic impacts of a drought event on the agricultural sector and measure how they are transmitted from primary production to industrial output and related employment. We fit econometric models to determine the magnitude of the economic loss attributable to water storage. The direct impacts of drought on agricultural productivity are measured through a direct attribution model. Indirect impacts on agricultural employment and the agri-food industry are evaluated through a nested indirect attribution model. The transmission of water scarcity effects from agricultural production to macroeconomic variables is measured through chained elasticities. The models allow for differentiating the impacts deriving from water scarcity from other sources of economic losses. Results show that the importance of drought impacts are less relevant at the macroeconomic level, but are more significant for those activities directly dependent on water abstractions and precipitation. From a management perspective, implications of these findings are important to develop effective mitigation strategies to reduce drought risk exposure.

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