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Measuring pollutant emissions of cattle breeding and its spatial-temporal variation in China

机译:测量牛育种污染物排放及其在中国的空间 - 时间变异

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摘要

The rapid development of animal husbandry has resulted in serious pollution issues in the livestock and poultry breeding industry, increasing the cost of environmental management. This issue is particularly prominent in China due to its rapid economic development, significant domestic consumption, and aggressive carbon neutrality targets. This study analyses pollution emissions and spatial-temporal variation in China's cattle breeding industry. Using an emission coefficient method and panel data of 31 Chinese provinces/municipalities between 2002 and 2017, we measure the total volume of pollutant emissions from China's cattle breeding industry and five major pollutants: chemical oxygen demand, total nitrogen, total phosphorus, copper, and zinc. We also analyse the dynamic variation of the spatial distribution. The results show that both the total emissions volume and emissions of the five major pollutants have decreased to different extents, among which chemical oxygen demand has decreased the fastest. Spatial divergence is strengthened as the heavy pollution areas have moved from the southeast to the northwest of the country. This study contributes to current research by its focus on the cattle breading industry and by our improvements to the pollutant emission measurement method.
机译:畜牧业的快速发展导致畜禽养殖业的严重污染问题,增加了环境管理成本。由于其经济快速发展,大量的国内消费和侵略性碳中性目标,这个问题在中国尤为突出。本研究分析了中国养牛养殖业的污染排放和空间态度。在2002年至2017年之间使用31例中国省市/市政当局的排放系数和面板数据,我们衡量了中国牛养殖业的污染物排放总量和五大污染物:化学需氧量,总氮,总磷,铜和锌。我们还分析了空间分布的动态变化。结果表明,五个主要污染物的总排放量和排放都减少到不同的范围,其中化学需氧量减少了最快。随着沉重的污染区域从东南部到该国西北部,空间分歧得到加强。这项研究有助于目前对牛面包制品的关注以及我们对污染物排放测量方法的改进进行了研究。

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