Jiaqing Zeng

Central South University

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Wenshun Ke

Central South University

Xinghua Luo

Central South University

Lu Tang

Central South University

Chuxuan Li

Central South University

Shengguo Xue

Shaanxi University of Science and Technology

Shengguo Xue

Central South University

Jun Jiang

Central South University

Jun Jiang

Central South University

Feng Zhu

University of British Columbia

Yi Xie

Shanghai Advanced Research Institute

Cooperative Institutions

Central South University

Chinese National Engineering Research Center for Control and Treatment of Heavy Metal Pollution

Chinese Academy of Sciences

Capital Medical University

Beijing Hospital of Traditional Chinese Medicine

Tsinghua University

Shanghai Jiao Tong University

Peking University

Xiangtan University

Second Xiangya Hospital of Central South University

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Pollution prediction for heavy metals in soil-groundwater systems at smelting sites

Chemical Engineering Journal (2023)

Shengguo Xue Wenshun Ke Jiaqing Zeng Carlito Baltazar Tabelin Yi Xie

Groundwater Pollution

Zinc smelting

10.1016/j.cej.2023.145499

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Citations (45)

Migration and distribution characteristics of soil heavy metal(loid)s at a lead smelting site

Journal of Environmental Sciences (2023)

Chuxuan Li Mu Li Jiaqing Zeng Shan-xin YUAN Xinghua Luo

Lead smelting

Topsoil

Soil horizon

Soil test

10.1016/j.jes.2023.02.007

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Citations (43)

Heterogeneous Distributions of Heavy Metals in the Soil-Groundwater System Control Pollution Migration at a Smelting Site

SSRN Electronic Journal (2022)

Jiaqing Zeng Carlito Baltazar Tabelin Wenyan Gao Lu Tang Xinghua Luo

Heavy metal contaminations of soil-groundwater systems from smelting activities is a widespread problem affecting >30% of industrial lands worldwide. Contaminants from the soil migrate into the groundwater and spread further into the surrounding area, causing persistent hazards to human health and the environment. In the present study, migration behaviors and patterns of four persistent pollutants—cadmium (Cd), zinc (Zn), lead (Pb) and arsenic (As)—in a soil-groundwater system were investigated through their heterogeneous distribution characteristics. The results show that these heavy metals (HM) migrate in the vadose zone vertically downwards by gravity while in the aquifer, migration patterns were dominated by solute transport due to groundwater flow. In addition, the migration potential of HMs based on their speciation was ranked as Cd > Zn > Pb > As, which equally reflected their associated environmental risks. Correlation analysis suggested that external pollutant input and hydrogeological characteristics are the main factors controlling the migration and transformation of HMs. Moreover, partitioning of HMs with the exchangeable phase was closely related to the formation, distribution and extent of groundwater pollution. The migration behaviors and patterns of HMs in the soil-groundwater system of a smelting site were confirmed for the first time through field tests, which could provide valuable insights into contaminant transport and potential barrier control interventions at polluted sites.

Groundwater Pollution

10.2139/ssrn.4226673

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Citations (0)

Pollution characteristics and ecological risk apportionment at a smelting site based on stochastic simulation

Transactions of Nonferrous Metals Society of China (2023)

Xinghua Luo Jiaqing Zeng Chuan WU Kunyan Qiu Chao-ran LI

Geostatistical analysis and Pb isotope tracing were used to characterize the distribution patterns and the sources of heavy metals at a lead smelting site. Furthermore, ecological risks were apportioned based on stochastic theory. The results showed that soils were seriously contaminated by Pb, Zn, As, Cd, Cr and Hg, which reflected strong spatial heterogeneity. Based on MixSIAR model, the density distributions of three endmembers were deconstructed, in which 49.9% of Pb came from smelting activities, and 16.4% and 33.7% from coal combustion and geological source, respectively. Along with the integration of the apportionment of Pb isotope and Monte Carlo simulation, concentration-oriented probabilistic risk indicated that the moderate risk level was dominant, and Cd, As, Pb and Hg were sensitive factors. Source-oriented probabilistic risk presented that smelting contributed the most to risk accumulation. Therefore, the control of Cd, As, Pb and Hg and the disposal of potential smelting sources should be in priority.

Apportionment

Probabilistic risk assessment

Zinc smelting

10.1016/s1003-6326(23)66329-0

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Citations (4)

Anthropogenic processes drive heterogeneous distributions of toxic elements in shallow groundwater around a smelting site

Journal of Hazardous Materials (2023)

Lu Tang Jie Liu Jiaqing Zeng Xinghua Luo Wenshun Ke

Groundwater Pollution

10.1016/j.jhazmat.2023.131377

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Citations (31)

大型転炉における頂底復吹混合効果のシミュレーション【JST・京大機械翻訳】

Gangtie (2016)

Wang Chengyi Libin Yang Jiaqing Zeng

Source

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Hospital Run

SSRN Electronic Journal (2021)

Ke Tang Danxia Xie Liyan Yang Jiaqing Zeng

In the Covid-19 pandemic, individuals run on public medical resources, leadingto inefficient usage of these resources and a surging mortality rate. In this paper,we construct a theoretical model to study the causes and consequences of hospitalruns during the pandemic, and explore the efficacy of various policy measures tocombat the pandemic. Our analysis demonstrates nuanced interacting effectsand complementarity among various pandemic containment policies. We findthat expanding tests harms social welfare when the virus spreads slowly and theamount of hospital resources is limited. The optimal testing intensity depends onthe effectiveness of other policies.

Pandemic

Complementarity (molecular biology)

Containment (computer programming)

10.2139/ssrn.3911057

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Pollution Prediction and Control Strategies for Heavy Metals in Soil-Groundwater Systems at Smelting Sites

Shengguo Xue Wenshun Ke Jiaqing Zeng Carlito Baltazar Tabelin Yi Xie

The spread of heavy metal contaminations originating from polluted industrial sites pose major environmental risks to surrounding areas. However, the migration of heavy metals in the subsurface is a very complex process that requires the coupling of geological, hydrological, solute transport and geochemical data to better understand and predict contaminant flow paths, plume movement in space and time. In this study, a three-dimensional (3D) variable saturated solute transport numerical model of soil-groundwater was developed to understand pollution risks in a large lead-zinc (Pb-Zn) smelting site. Using the calibrated numerical model, risk trends of heavy metal pollution was predicted, and the design and evaluation of a pollution control technology were proposed. The results showed that the risk of heavy metal spillover was extremely high. It could break through the geographical boundary of the site after 60 days and affect the downstream river on the 712th day. By using a permeable reactive barrier (PRB) based on zero-valent iron (ZVI) and bentonite, the time for the Cd pollution plume to reach the river could be effectively delayed by 225 days, its diffusion range reduced to 10.2%. However, 31â€“42% of the contaminants continued to spread outwards through lateral flow pathways even with a PRB. Based on these results, a better remediation strategy for the smelting site is to first remove, passivate or solidify the existing pollution sources, and then use PRB technology to block the pollution transmission pathways. The research results have expanded the application of numerical simulation in the study of industrial pollution sites, providing guidance methods and technical support for pollution prevention and control and space utilization at polluted non-ferrous smelting sites.

Groundwater Pollution

10.2139/ssrn.4443580

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Citations (0)

Ca-driven stable regulatory of alkalinity within desilication products: Experimental, modeling, transformation mechanism and DFT study

The Science of The Total Environment (2023)

Yujun Wu Dandan Deng Jun Jiang Feng Li Jiaqing Zeng

Sodalite

Alkalinity

Sodium aluminosilicate

Calcium aluminosilicate

10.1016/j.scitotenv.2023.161708