| Literature DB >> 35548090 |
Ying Cui1, Yunxia Shi2.
Abstract
Based on the date of the main pollutant discharge and the change of pollutant concentration in Z city, this study performed the statistical analysis of the concentration data in excel. The data covers 3 years from 1 January 2015 to 31 December 2017. An exposure-response relationship model was used established to evaluate the health hazards caused by air pollution and the corresponding economic losses, further analyzing the relationship between air pollution, health hazards, and economic benefits. The results of the study showed that the changes in SO2 and NO2 concentrations in Z City from 2015 to 2017 have a great influence on the mortality rate of the local population, respiratory mortality, the rate of internal medicine of outpatients, and the rate of chronic bronchitis disease. The economic losses between 2015 and 2017 caused by PM10, the primary pollutant in the air, were 3.9 billion, 3.5 billion, and 2.9 billion respectively, accounting for 3.60%, 2.88%, and 2.09% of Z City's GDP, which were enormous. Finally, countermeasures of feasible treatment and in government performance were put forward.Entities:
Keywords: air pollution; economic losses; governance performance; health hazard; public health
Mesh:
Substances:
Year: 2022 PMID: 35548090 PMCID: PMC9082422 DOI: 10.3389/fpubh.2022.827713
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Figure 1Z City's per capital GDP trends from 2013 to 2017.
Major pollutant emissions of Z City from 2011 to 2016 (Unit: ton).
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| Sulfur dioxide | 116,870.4 | 119,453 | 118,100 | 104,621.6 | 94,882.61 | 22,942.71 |
| Nitrogen oxides | 210,232.5 | 216,123 | 197,400 | 178,315.2 | 152,484.90 | 33,813.90 |
| Smoke (Powder) | 53,011.64 | 39,007.9 | 48,756.85 | 62,591.46 | 67,189.03 | 21,096.99 |
| dust |
Figure 2Interannual variations of major pollutant emissions in Z City from 2011 to 2016.
Concentration of atmospheric particulate pollutants of Z City from 2013 to 2017 (Unit: μg/m3).
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| PM10 | 171 | 158 | 164 | 143 | 118 |
| PM2.5 | 108 | 88 | 93 | 78 | 66 |
| SO2 | 58 | 41 | 32 | 28 | 20 |
| NO2 | 51 | 49 | 54 | 53 | 52 |
Figure 3Interannual variations trends of the concentration of inhalable particulate matter in Z City from 2103 to 2017.
Statistics on the causes of death of Z City residents.
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| Cardiopathy | 25.54% | 28.32% | 25.38% | 26.78% | 26.91% | 27.57% | 28.44% |
| Cerebrovascular disease | 21.95% | 22.85% | 20.52% | 20.16% | 19.47% | 19.99% | 20.86% |
| Cancers | 20.30% | 18.19% | 18.59% | 19.11% | 18.46% | 18.79% | 18.96% |
| Respiratory diseases | 9.13% | 9.28% | 10.27% | 11.11% | 10.57% | 10.44% | 10.01% |
| Injuries | 7.44% | 7.99% | 8.83% | 7.64% | 7.45% | 7.52% | 7.01% |
Figure 4The Trends of death cause of Z City population.
Exposure-response relationship coefficient and baseline incidence of relevant adverse health outcomes.
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| Total mortality | 0.00430 (0.00260, 0.00610) | 0.00522 |
| Respiratory mortality | 0.01430 (0.00850, 0.02010) | 0.00042 |
| The in-patient number for cardiovascular disease | 0.00070 (0.00031, 0.00109) | 0.01428 |
| The number of patients with chronic bronchitis | 0.00450 (0.00127, 0.00773) | 0.00148 |
| The number of asthma patients | 0.02100 (0.01450, 0.03000) | 0.00627 |
| The number of internal medicine of outpatients. | 0.00090 (0.00012, 0.00168) | 0.5156 |
Baseline number of each adverse health outcome from 2015 to 2017 [unit: case (s)].
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| Total mortality | 49,950 | 50,759 | 51,579 |
| respiratory mortality | 4,019 | 4,084 | 4,150 |
| The in-patient number for cardiovascular disease | 136,645 | 138,859 | 141,101 |
| The number of patients with chronic bronchitis | 14,162 | 14,392 | 14,624 |
| The number of asthma patients | 59,998 | 60,969 | 61,954 |
| The number of internal medicine of outpatients. | 4,933,776 | 5,013,694 | 5,094,644 |
City health loss caused by pollutants in Z City (cases).
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| PM2.5 | 2015 | 14,233 | 2,702 | 7,261 | 4,192 | 48,336 | 334,474 |
| 2016 | 12,046 | 2,425 | 5,991 | 3,553 | 44,731 | 276,367 | |
| 2017 | 10,157 | 2,149 | 4,948 | 2,999 | 40,724 | 228,559 | |
| PM10 | 2015 | 20,643 | 3,337 | 11,361 | 6,056 | 55,559 | 520,997 |
| 2016 | 18,163 | 3,148 | 9,659 | 5,338 | 53,959 | 443,878 | |
| 2017 | 14,697 | 2,790 | 7,498 | 4,329 | 49,912 | 345,379 | |
| SO2 | 2015 | 2,512 | 634 | 1,143 | 744 | 13,365 | 52,998 |
| 2016 | 2,076 | 14 | 14,991 | 169 | 2,983 | 4,932,639 | |
| 2017 | 0 | 0 | 0 | 0 | 0 | 0 | |
| NO2 | 2015 | 2,918 | 729 | 1,333 | 865 | 15,283 | 61,776 |
| 2016 | 2,760 | 693 | 1,258 | 818 | 14,566 | 58,318 | |
| 2017 | 2,594 | 654 | 1,180 | 769 | 13,801 | 54,726 |
Economic value and evaluation method of each adverse health outcome in Z City (Unit: ten thousand dollars).
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| Total mortality rate | 14.92 | Willing-to-pay evaluation method |
| Respiratory mortality rate | 13.28 | Willing-to-pay method |
| The in-patient number for cardiovascular disease | 0.16 | Cost of illness evaluation method |
| The number of patients with chronic bronchitis | 5.97 | Willing-to-pay evaluation method |
| The number of asthma patients | 0.001 | Willing-to-pay method |
| The number of internal medicine of outpatients | 0.004 | Willing-to-pay evaluation method |
Economic losses caused by various pollutants in Z City, from 2015 to 2017 (ten thousand) Unit: US dollar.
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| PM2.5 | 2015 | 212,436 | 35,887 | 1,127 | 25,028 | 30 | 1,498 | 2.53% |
| 2016 | 179,784 | 32,214 | 930 | 21,210 | 27 | 1,237 | 1.94% | |
| 2017 | 151,595 | 28,542 | 768 | 17,904 | 25 | 1,023 | 1.47% | |
| PM10 | 2015 | 308,107 | 44,322 | 1,763 | 36,158 | 34 | 2,333 | 3.60% |
| 2016 | 271,091 | 280,151 | 1,499 | 31,869 | 33 | 1,987 | 2.88% | |
| 2017 | 219,362 | 41,814 | 1,164 | 25,844 | 31 | 1,546 | 2.09% | |
| SO2 | 2015 | 37,493 | 8,418 | 177 | 4,445 | 8 | 237 | 0.47% |
| 2016 | 30,986 | 182 | 2,327 | 1,011 | 2 | 22,086 | 0.47% | |
| 2017 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| NO2 | 2015 | 43,556 | 9,686 | 207 | 5,162 | 9 | 277 | 0.54% |
| 2016 | 41,188 | 9,203 | 195 | 4,882 | 9 | 261 | 0.46% | |
| 2017 | 38,716 | 8,693 | 183 | 4,590 | 8 | 245 | 0.38% |
Air quality status of reaching the standard in Z City from 2013 to 2017.
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| Days reaching the standard (days) | 128 | 163 | 138 | 159 | 201 |
| Rate of reaching the standard (%) | 35.10 | 44.70 | 37.80 | 43.40 | 55.06 |
Figure 5The trend of reaching standard rate of Z City's air quality.