Study of Livestock and Poultry Breeding Pollution Estimation and Load Warning in Surrounding Fanjin Mountain Area
In order to understand whether there is a realistic contradiction between livestock breeding pollution and environmental protection in the Fanjing Mountain area,this article uses the pollution dis-charge coefficient and land carrying method to estimate the amount of livestock breeding pollution in the area from 2014 to 2021 and analyze its load warning.The results show as follows:(1)the pollutant emis-sions of feces,urine and TP and TN exhibited an overall upward trend,and the order of feces and urine e-missions amount was bovine＞pigs＞poultry＞sheep,and the emission of TP was stable,while TN was unstable.The emissions of manure,urine and TP and TN varied greatly in each township,among them,Dewang town produced the most emissions,Taiping town the least emissions,and the other townships changed a little.(2)The pig fecal equivalent,N and P load also had a gradual upward trend,but the maxi-mum load of N and P did not exceed the EU standard.The load change was quite different among town-ships,and some townships had exceeded the regional average,indicating that the problem of pollution load was serious.The warning level of livestock and poultry pollution,and pollution risk had a rising trend,and towns(except Taiping town)surrounding Fanjing mountain area suffered pollution in different time periods,suggesting that the problem of load warning was serious.Based on the above-mentioned findings,some corresponding countermeasures and suggestions were put forward,such as adjusting the structure of livestock and poultry breeding,rationally controlling the breeding scale,strictly implementing regulations in protected area,accurately carrying out pollution control policies,enhancing skill training for livestock breeding farmers,and broadening employment channel of livestock and poultry farmers.
surrounding Fanjing Mountain arealivestock and poultry breedingpollution estimationload warningfecal and urine pollutants
国家科技期刊平台
NSTL
万方数据
维普
