Estimating Emissions and Environmental Fate of Di-(2-ethylhexyl) Phthalate in Yangtze River Delta, China: Application of Inverse Modeling
文献类型: 外文期刊
第一作者: Zhan, Yu
作者: Zhan, Yu;Sun, Jianteng;Pan, Lili;Zhu, Lizhong;Zhan, Yu;Sun, Jianteng;Pan, Lili;Zhu, Lizhong;Luo, Yuzhou;Deng, Xunfei;Wei, Zi
作者机构:
期刊名称:ENVIRONMENTAL SCIENCE & TECHNOLOGY ( 影响因子:9.028; 五年影响因子:9.922 )
ISSN:
年卷期:
页码:
收录情况: SCI
摘要: A georeferenced multimedia model was developed for evaluating the emissions and environmental fate of di-2-ethylhexyl phthalate (DEHP) in the Yangtze River Delta (YRD), China. Due to the lack of emission inventories, the emission rates were estimated using the observed concentrations in soil as inputs for the multimedia model solved analytically in an inverse manner. The estimated emission rates were then used to evaluate the environmental fate of DEHP with the regular multimedia modeling approach. The predicted concentrations in air, surface water, and sediment were all consistent with the ranges and spatial variations of observed data. The total emission rate of DEHP in YRD was 13.9 thousand t/year (95% confidence interval: 9.4-23.6), of which urban and rural sources accounted for 47% and 53%, respectively. Soil in rural areas and sediment stored 79% and 13% of the total mass, respectively. The the total emissions of DEHP but was only associated with 0.2% of the total mass due to fast degradation and intensive deposition. We suggest the use of an inverse modeling approach under a tiered risk assessment framework to assist future development and refinement of DEHP emission inventories.
分类号: X
- 相关文献
作者其他论文 更多>>
-
High-Quality Genome Assembly and Transcriptome of Rhododendron platypodum Provide Insights into Its Evolution and Heat Stress Response
作者:Wang, Zizhuo;Qin, Kunrong;Chen, Wentao;Ma, Guanpeng;Zhan, Yu;Zhu, Haoxiang;Wang, Haiyang;Qin, Kunrong;Ma, Guanpeng
关键词:evolution; heat stress; high-quality genome assembly; rocky habitat adaptation; transcriptome
-
Detection of the Optimal Temporal Windows for Mapping Paddy Rice Under a Double-Cropping System Using Sentinel-2 Imagery
作者:Sheng, Li;Ren, Zhouqiao;Zhou, Hongkui;Deng, Xunfei;Sheng, Li;Ren, Zhouqiao;Zhou, Hongkui;Deng, Xunfei;Lv, Yuefeng
关键词:paddy rice mapping; double-cropping system; Sentinel-2; temporal window analysis
-
The Impact of Rural Population Decline on the Economic Efficiency of Agricultural Carbon Emissions: A Case Study of the Contiguous Karst Areas in Yunnan-Guizhou Provinces, China
作者:Chen, Weini;Han, Dejun;Chen, Bo;Chen, Weini;Zhan, Yu
关键词:karst regions; rural population decline; economic efficiency of agricultural carbon emissions; mediation effect
-
Advancing Provincial Cropland Soil Mapping With Temporal Satellite Data Integration
作者:Wang, Xi;Zhou, Furong;Chen, Songchao;Shi, Zhou;Wang, Xi;Zhou, Furong;Chen, Songchao;Shi, Zhou;Chen, Songchao;Deng, Xunfei;Ren, Zhouqiao;Duan, Si-Bo;Wang, Mengru
关键词:digital soil mapping; management practices; satellite gap-filling; temporal information; time series satellite images
-
Spatiotemporal changes of soil organic carbon in intensive croplands over three decades: Emerging role of farmland utilization shifts
作者:Xiang, Mingtao;Chen, Xiaojia;Sheng, Meiling;Ren, Zhouqiao;Ma, Wanzhu;Deng, Xunfei;Chen, Songchao;Chen, Songchao;Wu, Chunyan;Sheng, Meiling;Ren, Zhouqiao;Ma, Wanzhu;Deng, Xunfei;Sheng, Meiling;Deng, Xunfei;Ming, Ming;Zhan, Yu
关键词:Farmland utilization shifts; Cropping pattern; Carbon accounting; Farmland partition
-
Transcriptomics and metabolomics of the molecular mechanisms of ginseng's response to the continuous cropping obstacle
作者:Shen, Yanlong;Zhan, Yu;Zhang, Tao;Li, Qiong;Wang, Enpeng;Chen, Changbao;Shen, Yanlong;Zhang, Hao
关键词:Panax ginseng; Metabolome; Transcriptome; Environmental stress; Continuous cropping obstacle
-
Ginkgo biloba Sex Identification Methods Using Hyperspectral Imaging and Machine Learning
作者:Chen, Mengyuan;Yang, Rui;Lu, Xiangyu;Liu, Fei;Lin, Chenfeng;Zhao, Yunpeng;Sun, Yongqi;Lou, Weidong;Deng, Xunfei
关键词:Ginkgo biloba; sex identification; leaf morphology; hyperspectral imaging; machine learning