Diverse scientific fields and multidisciplinary expertise brought together within an international community

Journal of Environmental Geochemistry and Health


Environmental Geochemistry and Health is the Official Journal of the Society for Environmental Geochemistry and Health.  The journal publishes original research papers, research notes and reviews across the broad field of environmental geochemistry.

  • Environmental geochemistry establishes and explains links between the chemical composition of rocks and minerals and the health of plants, animals and people.
  • Beneficial elements regulate or promote enzymatic and hormonal activity, whereas other elements may be toxic.
  • Bedrock geochemistry controls the composition of soil and hence that of water and vegetation.
  • Pollution arising from the extraction and use of mineral resources distorts natural geochemical systems.
  • Geochemical surveys of soil, water and plants show how major and trace elements are distributed geographically.
  • Associated epidemiological studies reveal the possibility of links between the geochemical environment and disease.
  • Experimental research illuminates the nature or consequences of natural geochemical processes.

High quality research papers or reviews dealing with any aspect of environmental geochemistry are welcomed.  Submission of papers which directly link health and the environment are particularly encouraged.  Papers may be theoretical, interpretative or experimental.  Authors shoud refer to for more information and authors' instructions.


Stay informed of new journal issues! Sign up for the Table of Contents Alert here

Keep up to date

Submit Content

Members can keep in touch with their colleagues through short news and events articles of interest to the SEGH community.

Science in the News

Latest on-line papers from the SEGH journal: Environmental Geochemistry and Health

  • Seasonal and spatial contamination statuses and ecological risk of sediment cores highly contaminated by heavy metals and metalloids in the Xiangjiang River 2019-01-19


    To reveal seasonal and spatial variations of heavy metals and metalloids (HMMs) in sediment of the Xiangjiang River, a total of 24 water and 649 sediment samples were collected from six sampling stations in the Songbai section of the river which had been polluted by HMMs for 100 years. Their contamination statuses and ecological risk were determined by enrichment factor (EF), geo-accumulation index (Igeo), pollution load index (PLI), and mean probable effect concentration quotients (mPECQs) analyses. The results revealed a unique seasonal distribution of metals in the sampling stations: The highest concentrations were revealed in the dry seasons (autumn and winter) and the lowest during the wet seasons (spring and summer). It exhibited a greater seasonal variation in the estuary sediment cores (sites ME and MW) than in the cores of other sites. Moreover, the highest concentrations of the tested metals were also found in the estuary sediment cores in the dry seasons (autumn and winter). The highest vertical concentrations of Pb, Zn, Cu, Ni, As, Fe, and Mn were observed at the depths of 16–36 cm in all of the sampled sediment cores. The EF, Igeo, PLI, and mPECQs values of all samples in autumn were higher than in summer. Cd posed the highest ecological risk in all seasons, although its concentrations were lower compared to other studied elements. Our results will benefit to develop feasible sediment quality guidelines for government monitor and remediate the local sediments in the Xiangjiang River.

  • A cross-sectional survey based on blood VOCs, hematological parameters and urine indicators in a population in Jilin, Northeast China 2019-01-16


    The objective of this study was to examine whether long-term exposure to low-dose volatile organic compounds (VOCs) will have an effect on the health of non-occupational population. A total of 499 non-occupational participants aged more than 18 that live around Jilin Petrochemical Industrial Zone were chosen by stratified cluster random sampling. Their blood VOCs’ levels, hematological parameters and urine indicators together with detailed questionnaire data were used to find possible relationships using binary logistic regression analysis. The detection rate of benzene in the blood was high in the non-occupational population around the industrial area, and it even reached 82.3% in males but no significant difference was recorded between male and female population. In addition, trichloroethane (male: 33.2% V female: 21.7%; p = 0.002), carbon tetrachloride (males: 20.3% V females: 7.5%; p < 0.001) and trichlorethylene (male: 34.9% V female: 24.7%; p = 0.004) all showed significant differences in gender, and without exception, the prevalence of males was higher in these three VOCs than of females. The changes in red blood cell (RBC), hematocrit (HCT) and basophils are correlated with carbon tetrachloride, trichloroethylene and chloroform, respectively. And RBC, HCT and basophils are statistically significant in male compared with female of the study population. The increase in trichlorethylene was associated with an increase of 1.723% (95% CI 1.058–2.806) in HCT. The increase in carbon tetrachloride showed a more significant correlation with an increase of 2.638% in RBC count (95% CI 1.169–5.953). And trichloromethane led to a 1.922% (95% CI 1.051–3.513) increase in basophils. The changes in urinary WBC, urine ketone (KET) and urinary bilirubin (BIL) showed significant correlation with benzene, carbon tetrachloride and dibromochloromethane, respectively. The correlation in females is more significant than in males. The increase of benzene in the female population increased urinary leukocyte count by 2.902% (95% CI 1.275–6.601). The effect of carbon tetrachloride on KET was particularly pronounced, resulting in an increase of 7.000% (95% CI 1.608–30.465). Simultaneously, an increase in dibromochloromethane caused an increase of 4.256% (95% CI 1.373–13.192) in BIL. The changes in RBC, HCT and basophils can only serve as an auxiliary indicator for disease diagnosis, so they have no significant clinical significance. However, the alteration of urinary WBC, KET and BIL has great clinical significances, and it is suggested that the monitoring of the above indicators from low-dose long-term exposure be strengthen in this area.

  • Interannual variation in grassland net ecosystem productivity and its coupling relation to climatic factors in China 2019-01-08


    Grassland, as an important part of land cover, plays an important role in the global carbon cycle and carbon balance. Net ecosystem productivity (NEP) is a key indicator of the carbon cycle process and an important factor in assessing ecosystem security and maintaining ecosystem balance. In this paper, Boreal Ecosystem Productivity Simulator (BEPS) combining meteorological data, leaf area index, and land cover type data were used to simulate the grassland NEP of China from 1979 to 2008. This model was also used to analyze the responses to changes in climate factors, interannual variation in carbon conversion efficiency, drought stress coefficient, and water use efficiency of grassland in China. Results showed that from 1979 to 2008, the mean annual grassland NEP was 13.6 g C/m2 with weak carbon sinks. The grassland NEP distribution increased from northwest to southeast across China. Regions with NEP of > 0 (C sink) accounted for 73.1% of the total grassland area of China. The total C sequestration reached 26.6 Tg yearly, and grassland NEP was positive from 1979 to 2008. The annual changing characteristics were analyzed. Grassland NEP was positive with carbon sink from June to September, which was negative with carbon source in the remaining months. The carbon conversion efficiency and water use efficiency of the grassland increased significantly within 30 years. NEP showed positive correlation with precipitation (accounting for 74.2% of the total grassland area was positively correlated) but weakly positive correlation with temperature (50.2% of the case). Furthermore, significant positive correlation was found between grassland NEP and precipitation, especially in northeastern and central Inner Mongolia, northern Tianshan of Xinjiang, southwestern Tibet, and southern Qinghai Lake.