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Agricultural Non-point Source Pollution in Drinking Water Conservation Area of the Hongfeng Lake in Guiyang City 被引量:1
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作者 YANG Tongquan LIU Hongyan +3 位作者 YU Yanghua CHEN Zhu RAO Cheng JIANG Chang 《Journal of Landscape Research》 2016年第5期100-104,共5页
On the basis of investigating rural population, land types, livestock and poultry breeding scale in drinking water conservation area of the Hongfeng Lake in Guiyang City, as well as the urban domestic pol utant discha... On the basis of investigating rural population, land types, livestock and poultry breeding scale in drinking water conservation area of the Hongfeng Lake in Guiyang City, as well as the urban domestic pol utant discharge coefficient, livestock and poultry excretion coefficient, nitrogen fertilizer and phosphate fertilizer loss rate in the first national pollution source survey, this paper tried to explore current situation of agricultural non-point source pollution, and provide scientific support for the pollution control. The results showed that in the drinking water conservation area of the Hongfeng lake in 2013, contribution rate of pollution sources to the water pollution in the Hongfeng Lake followed the sequence "livestock and poultry breeding > rural life > farmland fertilizer". Among all agricultural non-point source pollutants, livestock and poultry breeding pollutants were major pollution sources, with a contribution rate to CODCr, TP and NH3-N in water above 50%; rural domestic pollutants were also important pollution sources, its contribution rate to CODCr and NH3-N was 43.49% and 46.69%, respectively; contribution rate of farmland fertilizer pollutants to TN and TP was 33.76% and 27.71%, respectively, higher than that of rural domestic pollutants(25.87% and 6.75%). Therefore, the control of non-point source pollution within the drinking water conservation area should be enhanced, so as to control the pollution from the source. 展开更多
关键词 The Hongfeng Lake Agricultural non-point source pollution Pollutant contribution rate Control measures
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直接和间接消费所引起的中国城乡空气污染相关过早死亡不平等性
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作者 王旌旭 林金泰 +8 位作者 刘宇 吴锋 倪睿婧 陈璐璐 任芳萱 杜鸣溪 李钟仪 张浩雨 刘正中 《Science Bulletin》 SCIE EI CAS CSCD 2024年第4期544-553,共10页
Household consumption in China is associated with substantial PM_(2.5)pollution,through activities directly(i.e.,fuel use)and/or indirectly(i.e.,consumption of goods and services)causing pollutant emissions.Urban and ... Household consumption in China is associated with substantial PM_(2.5)pollution,through activities directly(i.e.,fuel use)and/or indirectly(i.e.,consumption of goods and services)causing pollutant emissions.Urban and rural households exhibit different consumption preferences and living areas,thus their contributions to and suffering from air pollution could differ.Assessing this contrast is crucial for comprehending the environmental impacts of the nation’s ongoing urbanization process.Here we quantify Chinese urban and rural households’contributions to ambient PM_(2.5)pollution and the health risks they suffer from,by integrating economic,atmospheric,and health models and/or datasets.The national premature deaths related to long-term exposure to PM_(2.5)pollution contributed by total household consumption are estimated to be 1.1 million cases in 2015,among which 56%are urban households and 44%are rural households.For pollution contributed indirectly,urban households,especially in developed provinces,tend to bear lower mortality risks compared with the portions of deaths or pollution they contribute.The opposite results are true for direct pollution.With China’s rapid urbanization process,without adequate reduction in emission intensity,the increased indirect pollution-associated premature deaths could largely offset that avoided by reduced direct pollution,and the indirect pollution-associated urban–rural inequalities might become severer.Developing pollution mitigation strategies from both production and consumption sides could help with reducing pollution-related mortality and associated urban-rural inequality. 展开更多
关键词 Urban and rural households pollution contribution Mortality risk INEQUALITY PM_(2.5)
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