Publicacións

@article{tan_integrated_2023,

title = {An integrated approach for quantifying source apportionment and source-oriented health risk of heavy metals in soils near an old industrial area},

author = {Chang Tan and Hao Wang and Qingchun Yang and Liyuan Yuan and Yuling Zhang and Jordi Delgado-Martín},

url = {https://www.sciencedirect.com/science/article/pii/S0269749123002737},

doi = {10.1016/j.envpol.2023.121271},

issn = {0269-7491},

year  = {2023},

date = {2023-04-01},

urldate = {2026-08-13},

journal = {Environmental Pollution},

volume = {323},

pages = {121271},

abstract = {Soil contamination of heavy metals (HMs) caused by the long-term industrial activities has become a major environmental issue due to its adverse effects on human health and ecosystem. In this paper, 50 soil samples were analyzed to evaluate the contamination characteristics, source apportionment and source-oriented health risk of HMs in soils near an old industrial area in NE China by applying an integrated approach of Pearson correlation analysis, Positive matrix factorization (PMF) model and Monte Carlo simulation. The results showed that the mean concentrations of all HMs greatly exceeded the soil background values (SBV), and the surface soils in the study area were heavily polluted with HMs, displaying a very high ecological risk. The toxic HMs emitted from the bullet production were identified as the primary source of HMs contamination in soils, with a contribution rate of 33.3%. The human health risk assessment (HHRA) suggested that the Hazard quotient (HQ) values of all HMs for children and adults are within the acceptable risk level (HQ < 1). The carcinogenic risk (CR) values of HMs for children and adults significantly exceeded the acceptable threshold of 1E-6 with a basic trend: As > Pb > Cr > Co > Ni, indicating a high cancer risk. For source-oriented health risk, the CR of four pollution sources for children and adults shows a same trend: Factor 4 > Factor 3 > Factor 2 > Factor 1. Among those, the source of HMs pollution from bullet production is the largest contributor to cancer risk, and As and Pb are the most important HMs pollutants that cause cancer risk to humans. The present study sheds some light on the contamination characteristics, source apportionment and source-health risk assessment of HMs in industrially contaminated soils, which helps improve the management of environmental risk control, prevention and remediation.},

keywords = {Heavy metals, Monte Carlo simulation, Positive matrix factorization model, Probabilistic health risk assessment, Soil contamination, Source apportionment},

pubstate = {published},

tppubtype = {article}

}

@article{gui_spatial_2023,

title = {Spatial distribution, contamination characteristics and ecological-health risk assessment of toxic heavy metals in soils near a smelting area},

author = {Han Gui and Qingchun Yang and Xingyu Lu and Hualin Wang and Qingbao Gu and Jordi Delgado-Martín},

url = {https://www.sciencedirect.com/science/article/pii/S0013935123001202},

doi = {10.1016/j.envres.2023.115328},

issn = {0013-9351},

year  = {2023},

date = {2023-04-01},

urldate = {2026-08-13},

journal = {Environmental Research},

volume = {222},

pages = {115328},

abstract = {Soil heavy metals (HMs) contamination stemming from smelting and mining activities is becoming a global concern due to its devastating impacts on the environment and human health. In this study, 128 soil samples were investigated to assess the spatial distribution, contamination characteristics, ecological and human health risk of HMs in soils near a smelting area by using BP artificial neural network (BP-ANN) and Monte Carlo simulation. The results showed that the concentrations of all five HMs in the soil greatly exceeded the background value of study area with a basic trend: Pb > As > Cr > Cd > Hg, indicating a high pollution level. Arsenic and lead were the major pollutants in the study area with an exceedance rate of 78.95% and 28.95%, respectively. The toxic fume and dust emitted during the smelting process were identified as the major sources of HMs pollution in soil, while Cd pollution was mainly caused by agricultural activities near the study area. The probabilistic risk assessment suggested that the average HQ values of five HMs for children and adults exceeded the acceptable threshold with a trend: As > Pb > Cr > Cd > Hg. The average CR values of As, Cr and Pb for all population were greatly larger than the acceptable threshold (CR ≥ 1), indicating a high cancer risk. However, the CR values of Cd for adults and children were within the acceptable threshold (CR < 1), implying no cancer risk. The results of the present study can provide some insight into the contamination characteristics, ecological and human health risk of HMs in contaminated soils by mining and smelting activities, which can help prevent and control soil pollution and environmental risk.},

keywords = {BP artificial Neural network, Ecological risk, Health risk assessment, Heavy metals, Monte Carlo simulation, Soil contamination},

pubstate = {published},

tppubtype = {article}

}

@article{PeñaGonzález2006823,

title = {Analysis of the mobilization of solid loads and heavy metals in runoff waters from granite quarries},

author = {Enrique Peña-González and Joaquín Suárez-López and Jordi Delgado-Martín and Juan Alfredo Jácome-Burgos and Jerónimo Puertas-Agudo},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-33746422563&doi=10.1007%2fs00254-006-0254-9&partnerID=40&md5=a12a6672534457486ab9a9d1f672be32},

doi = {10.1007/s00254-006-0254-9},

issn = {09430105},

year  = {2006},

date = {2006-01-01},

urldate = {2006-01-01},

journal = {Environmental Geology},

volume = {50},

number = {6},

pages = {823-834},

abstract = {The cutting operations of dimension stone at quarries produce a large amount of fines that, in turn, cause a negative environmental impact over local surface waters. This article presents a detailed analysis of the mobilized contamination associated with runoff waters in a large granite quarry (∼200 ha) which is located in Porriño (Galicia, NW Spain), the most important production centre of dimension stone in Spain. There, an intensive monitoring survey was developed in order to characterize the hydrology of the system as well as the release and transport of pollutants. This was accomplished by means of different control sections for the flow and by the collection of 52 random water samples. Automatic samplers were also used to collect 192 water samples associated with runoff generated by significant rain events. For each of the samples collected, a wide battery of analytic determinations was performed, including solid loads, turbidity, organic pollution, nutrient and selected metals. Upon careful examination it has been possible to obtain different parameters related to the contamination control, like the "event mean concentration" (EMC), maximum concentrations and specific sediment loads. Moreover, a comprehensive statistical study including parameter correlation and cumulative probability analyses helped to understand the pollutant mobilization behaviour within the quarry system. It can be concluded that mobilized contamination shows the anomalous presence of some metals, whose concentrations are in excess when compared to the natural rock. This excess metal amount must be attributed to an anthropogenic source associated to mining and cutting operations. © Springer-Verlag 2006.},

note = {cited By 4},

keywords = {analytical method; dimension stone; environmental effect; fines; granite; heavy metal; hydrology; metal; mobilization; nutrient; quarry; runoff; solid waste; surface water; turbidity; waste transport; water pollution, Contamination; Correlation theory; Environmental impact; Granite; Hydrology; Quarries; Statistical methods; Surface waters, Eurasia; Europe; Galicia; Pontevedra [Galicia]; Porrino; Southern Europe; Spain, Galicia; Granite quarries; Porriño; Runoff water pollution; Selected metals; Spain; Suspended solids, Heavy metals},

pubstate = {published},

tppubtype = {article}

}