Spatial-temporal characteristics and driving factors of the human health impacts of five industrial aquatic toxic metals in China

Huang, Yuanyi; Zhou, Beihai; Han, Ruru; Lu, Xiaohui; Li, Shuo; Li, Nan

doi:10.1007/s10661-020-08279-1

Cited by 4 publications

(3 citation statements)

References 29 publications

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“…Huang et al have constructed a high-resolution grid dataset (at 1 × 1 km scale) of heavy metals emissions (As, Cd, Cr(VI), Hg, and Pb) from industrial wastewater in China during 1998–2015 [ 31 , 36 ]. The dataset of heavy metal emissions from industrial wastewater in 1999–2018 was obtained through missing data interpolation based on this dataset construction method.…”

Section: Methods and Datamentioning

confidence: 99%

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Spatio-Temporal Distribution of Environmental Health Risk of Heavy Metals in Industrial Wastewater of China during 1999–2018

Han

Zhou

Chen

2021

IJERPH

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In recent decades, environmental health risk caused by heavy metals in industrial wastewater (EHR-IHM) has become a serious issue globally, especially for China. Given the spatial difference of heavy metal emissions, hydrogeography, population distribution, etc., it is essential to estimate China’s EHR-IHM from a high-resolution perspective. Based on the framework of USEtox, this study constructs an environmental health risk assessment method for heavy metals discharged from industrial wastewater by coupling the Pollutant Accumulation Model (PAM). This method also considers the process of heavy metal flows between upstream and downstream areas. Based on this constructed method, we investigate the spatio-temporal distribution of EHR-IHM of As, Cd, Cr(VI), Hg, and Pb in China from 1999 to 2018. Results showed that the EHR-IHM in China increased rapidly during 1999–2007 and decreased gradually during 2007–2018, with the highest Damage Level (DL) of 6.8 × 104 disability-adjusted life years (DALY). As and Cr(VI) were the major heavy metal pollutants, which induced 58.9–70.6% and 23.9–36.2% of the total EHR-IHM, respectively. Intake of aquatic products was the dominant exposure route, accounting for over 84.1% of national EHR-IHM, followed by drinking water intake, accounting for 9.5–15.8%. Regarding spatial distribution, the regions with high EHR-IHM are mainly distributed in the middle–lower reaches of the Yangtze River, southeast coastal cities, Bohai Rim, etc.

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Section: Methods and Datamentioning

confidence: 99%

“…We used ArcGIS 10.3 to manage, process, and visualize data and the results. [31,36]. The dataset of heavy metal emissions from industrial wastewater in 1999-2018 was obtained through missing data interpolation based on this dataset construction method.…”

Section: Datamentioning

confidence: 99%

Spatio-Temporal Distribution of Environmental Health Risk of Heavy Metals in Industrial Wastewater of China during 1999–2018

Han

Zhou

Chen

2021

IJERPH

Self Cite

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“…[4] Based on the panel data of 30 provinces in China from 1995 to 2014, Huang Qiaolong et al ( 2018) used Moran's I index and Moran scatter plot to analyze the spatial and temporal characteristics of price fluctuations in the Chinese market and concluded that there was a diffusion effect in the regional aquatic product price market. [5] Yang Chenxing et al (2021) predicted Chinese aquatic product consumption price index based on SARIMA model and better revealed the seasonality and trend of it. [6] After reviewing the existing studies, it's found that there have been abundant achievements on the influencing factors of aquatic price, but the relevant research still has some shortcomings: they mainly focus on the consumption side, and ignore the production and circulation links; they mainly focus on macro indicators, ignoring the impact of micro factors aquatic price.…”

Section: Introductionmentioning

confidence: 99%

Analysis on Factors Affecting the Aquatic Product Price based on Stepwise Multiple Linear Regression Model

Hong¹,

Wang²

2023

Proceedings of the 4th International Conference on Economic Management and Model Engineering, ICEMME 2022, November 18-20, 2022

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Based on the panel data of 29 provinces in China from 2017 to 2019, a multiple linear regression model is established. It uses the stepwise regression method to analyze the factors that affect aquatic product price. The result shows that the refrigeration capacity of aquatic cold storage, the number of cold chain logistics enterprises and vehicles, the number of aquatic seedlings, the output of aquatic products, the processing capacity of aquatic products, the price of substitutes and coastal factors have a positive correlation with aquatic price. The negative correlation variables include cold storage capacity, icemaking capacity, freezing capacity, urbanization level and residents' income level. The study is meaningful to balance between the supply and demand of aquatic products and promote the construction of cold chain infrastructure.

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Efficient removal of bisphenol A and Cr(VI) simultaneously in an advanced redox photoelectrocatalytic system over dual 3D TiO2 photoelectrodes

Jin

Zhang

et al. 2023

Applied Catalysis B: Environmental

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Spatial-temporal characteristics and driving factors of the human health impacts of five industrial aquatic toxic metals in China

Cited by 4 publications

References 29 publications

Spatio-Temporal Distribution of Environmental Health Risk of Heavy Metals in Industrial Wastewater of China during 1999–2018

Spatio-Temporal Distribution of Environmental Health Risk of Heavy Metals in Industrial Wastewater of China during 1999–2018

Analysis on Factors Affecting the Aquatic Product Price based on Stepwise Multiple Linear Regression Model

Efficient removal of bisphenol A and Cr(VI) simultaneously in an advanced redox photoelectrocatalytic system over dual 3D TiO2 photoelectrodes

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