摘要
为了解复杂地形-气象场条件下二噁英类污染物环境影响,选取我国西南某代表性山地,利用CALPUFF预测区域垃圾焚烧、医废与危废项目二噁英类污染物的环境影响,并通过土壤实测数据进行模型分析验证.结果显示:复杂地形-气象场条件下,同一区域不同空间下的风向与风速将会出现明显差异,CALMET气象模块可结合相关资料,模拟计算出可信较高的复杂气象场文件;模型预测显示,在复杂地形-气象场条件下,项目排放的二噁英在土壤中的沉降位置、方向与全年主导风向不完全一致.研究区域土壤沉降量为0.86×10^(-3)～9.84×10^(-1)ngTEQ/m^2;模型模拟医废与垃圾焚烧、危废项目沉降数据与监测数据相关性R分别为0.854,0.287,说明CALPUFF模式在复杂地形-气象场条件下模拟周边土壤二噁英空间分布有一定可信度.
In order to understand the environmental impact of dioxin pollutants under complex terrain-weather conditions, a representative mountainous area in southwestern China was selected to predict the environmental impact of dioxin pollutants in regional waste incineration, medical waste and hazardous waste disposal projects using CALPUFF, and the modeling was analyzed and verified by soil measured data. The results showed that under the condition of complex terrain-weather field, the wind direction and wind speed in different spaces in the same region were significantly different. The CALMET module can be combined with relevant data to simulate a meteorological field file close to reality. The model prediction showed that under the complex terrain-weather field, the settlement position and direction of dioxins from the project were not completely consistent with the prevailing wind direction throughout the year. The annual average concentration contribution of dioxins to the soil sedimentation of dioxins was 0.86×10^-3~9 .84×10^-1 ngTEQ/m^2. The correlation between the monitoring data and model-simulated settlement data of medical waste and municipal waste incineration, hazardous waste projects was 0.854 and 0.287, respectively, indicating that the CALPUFF model has a certain degree of confidence in simulating the spatial distribution of dioxin in the surrounding soil under complex terrain-weather conditions.
作者
田飞
伯鑫
薛晓达
贾瑜玲
唐千红
孙洪涛
李时蓓
TIAN Fei;BO Xin;XUE Xiao-da;JIA Yu-ling;TANG Qian-hong;SUN Hong-tao;LI Shi-bei(Shandong Academy of Environmental Science Co., Ltd., Jinan 250013, China;Appraisal Center for Environment and Engineering, Ministry of Environmental Protection, Beijing 100012, China;State Environmental Protection Key Laboratory of Numerical Modeling for Environment Impact Assessment, Beijing 100012, China;Beihang University, Beijing 100083, China;Sichuan Environment and Engineering Appraisal Center, Chengdu 610041, China;CMA Public Meteorological Service Center, Beijing 100081, China)
出处
《中国环境科学》
EI
CAS
CSCD
北大核心
2019年第4期1678-1686,共9页
China Environmental Science
基金
2018年度四川省环境保护科技计划项目(2018HB22)
国家自然科学基金资助项目(71673107)
