种养结合模式下的畜禽粪污承载力分析研究——以长江流域太湖县为例
Load Capacity Analysis of Livestock Manure Under the Mode of Agricultural Crops Consuming Livestock Manure——Take Taihu County at Yangtze River Basin
何祥亮 1邵培艳 2乔媛媛 3于晴3
作者信息
- 1. 安徽省生态环境科学研究院,安徽合肥 230022
- 2. 合肥工业大学,安徽合肥 230009
- 3. 安徽省柏瑞环保科技咨询有限公司,安徽合肥 230021
- 折叠
摘要
在共抓长江大保护的战略背景下,为控制农业面源污染,基于畜禽养殖粪污进行农作物消纳的种养结合模式,采用养分平衡法,通过计算太湖县畜禽粪尿污染物产生量、耕地负荷、主要作物粪肥需求量等,测算了全县畜禽养殖粪污土地承载力.结果表明,全县畜禽粪污总氮和总磷产生量分别为5 807.59 t和1 922.94 t,污染物耕地负荷属于Ⅱ级(潜在环境风险),个别乡镇污染物耕地负荷属于Ⅳ级(高环境污染风险).以氮和磷养分计,全县畜禽粪污土地承载力分别为2.75× 106头和1.56× 107头猪当量,计算出来的土地承载力远大于现存栏量.但以氮为基准分析,徐桥镇和大石乡等部分乡镇承载力空间接近满负荷,应采取相应措施,加强管控.
Abstract
In the strategic context of comprehensive protection of the Yangtze River,a combined model of crop consuming livestock and poultry manure was adopted in order to control agricultural non-point source pollution.The nutrient balance method was used to calculate the pollutant production of livestock and poultry manure,land load,and the manure demand for major crops in Taihu County.The land carry-ing capacity of livestock and poultry manure in the entire county was estimated.The results showed that the total nitrogen and phosphorus production of livestock and poultry manure in the county are 5 807.59 t and 1 922.94 t,respectively.The pollutant load for farmland is Grade Ⅱ(potential environmental risk),which of individual townships is Grade Ⅳ(high environmental pollution risk).Based on nitrogen and phosphorus nutrients,the carrying capacity of livestock and poultry manure contaminated land in the coun-ty is 2.75 × 106 and 1.56 × 107 pig equivalent,respectively.The calculated land carrying capacity is much greater than the existing amount of livestock on stock.However,based on nitrogen analysis,some town-ships such as Xuqiao Town and Dashixiang are approaching their carrying capacity,indicating the need for corresponding measures to strengthen the control.
关键词
畜禽养殖/种养结合/耕地负荷/土地承载力/太湖县Key words
livestock and poultry breeding/combination of cultivation and breeding/farmland load/land bearing capacity/Taihu County引用本文复制引用
基金项目
安徽省环保专项资金项目(2021BTAFN03462)
安徽省环保专项资金项目(2022BTQFN3794)
安徽省科技厅重点专项(202004i07020005)
出版年
2024
国家科技期刊平台
NSTL
万方数据