To understand the pollution status, distribution characteristics, and pollution sources of soil heavy metals in tourist cities in northwest China, the soil content of heavy metals As, Cd, Cr, Cu, Hg, Ni, Pb, and Zn in the main areas of Dunhuang City was collected and analyzed. The soil heavy metal pollution level was quantitatively evaluated by the methods of the geo-accumulation index and improved Nemerow pollution index, and the sources of heavy metal pollution were quantitatively analyzed using cluster analysis and the positive matrix factorization (PMF) model. The contribution rate of each pollution source to ecological risk was determined by combining the PMF model and comprehensive ecological risk index. The results showed that except for the mean contents of As and Ni, the mean contents of Cd, Cr, Cu, Hg, Pb, and Zn were all higher than the background values in Gansu Province. However, the average content of the eight elements was lower than the screening value of construction land in the Standard for Soil Pollution Risk Control of Soil Environmental Quality Construction Land (trial) (GB 36600-2018). Among them, the enrichment of Cd, Pb, and Hg was more serious, and the exceedance rate was higher than 90%. The results of the geo-accumulation index indicated that urban soils were mainly polluted by Hg in the study area, and Cd, Cr, Cu, Pb, and Zn pollution also existed in different degrees. The improved Nemerow pollution index illustrated that the comprehensive pollution degree of the soil was clean to moderate pollution, and the overall pollution was light pollution. Based on the PMF model, we could conclude that soil heavy metals in the study area were affected by natural sources, industrial deposition sources, industrial sources, traffic sources, and comprehensive sources, and the contribution rates were 29.28%, 25.86%, 20.13%, 16.5%, and 8.23%, respectively. The specific source-integrated ecological risk assessment model found that the industrial deposition source contributed the most to the ecological risk in the study area and could be regarded as the priority control pollution source, and Hg was considered to be the priority control pollution element for ecological risk.
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http://dx.doi.org/10.13227/j.hjkx.202308137 | DOI Listing |
BMC Public Health
January 2025
Department of Thoracic Surgery, the 2nd Hospital of Hebei Medical University, Shijiazhuang, Hebei Province, 050000, PR China.
Background: Pulmonary space-occupying lesions are typical chronic pulmonary diseases that contribute significantly to healthcare resource use and impose a large disease burden in China. A time-series ecological trend study was conducted to investigate the associations between environmental factors and hospitalizations for pulmonary space-occupying lesions in North of China from 2014 to 2022.
Methods: The DLNM was used to quantify the association of environmental factors with lung cancer admissions.
Environ Monit Assess
January 2025
Department of Geography, The University of Hong Kong, Pokfulam Road, Hong Kong, 999077, China.
Excessive total suspended matter (TSM) concentrations can exert a considerable impact on the growth of aquatic organisms in fishponds, representing a significant risk to aquaculture health. This study revised existing unified models using empirical data to develop an optimized TSM retrieval model tailored for the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) (R = 0.69, RMSE = 7.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Morphological Sciences, Institute of Veterinary Medicine, Warsaw University of Life Sciences-SGGW, 02-776, Warsaw, Poland.
This study aimed to investigate the effects of environmental factors, sexual selection, and genetic variation on skull morphology by examining the skull structure of the European bison, a species at risk of extinction, and comparing it to other bovid species. The skull of the European bison was significantly bigger than that of other species of the tribe Bovini, and the results revealed considerable morphological differences in skull shape compared to other Bovini samples. The bison skull exhibited a broader shape in the frontal region and a more laterally oriented cornual process.
View Article and Find Full Text PDFSci Rep
January 2025
Hubei Key Laboratory of Biologic Resources Protection and Utilization, Hubei Minzu University, Enshi, 445000, Hubei Province, China.
As a key food production base, land use changes in the Jianghan Plain (JHP) significantly affect the surface landscape structure and ecological risks, posing challenges to food security. Assessing the ecological risk of the JHP, identifying its drivers, and predicting the risk trends under different scenarios can provide strategic support for ecological risk management and safeguarding food security in the JHP. In this study, the landscape ecological risk (LER) index was constructed by integrating landscape indices from 2000 to 2020, firstly analyzing its spatiotemporal characteristics, subsequently identifying the key influencing factors by using the GeoDetector model, and finally, simulating the risk changes under the four scenarios by using the Markov-PLUS model.
View Article and Find Full Text PDFAm J Clin Nutr
January 2025
Centre for Global Child Health, Hospital for Sick Children, Toronto, Canada; Centre for Excellence in Women and Child Health, Aga Khan University, Karachi, Pakistan; Institute for Global Health and Development, Aga Khan University, Karachi, Pakistan. Electronic address:
Background: The impact of direct and indirect drivers on linear growth and wasting in young children is of public health interest. While the contributions of poverty, maternal education, empowerment and birth weight to early childhood growth are well recognized, the contribution of environmental factors like heat, precipitation, agriculture outputs and food security in comparable datasets is less well established.
Objectives: To investigate the association of length-for-age z-score (LAZ) and weight-for-length z-score (WLZ) with various indicators among children under 2 years of age in Pakistan using representative household level nutrition surveys and ecological datasets.
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