Groundwater health risk assessment and its temporal and spatial evolution based on trapezoidal fuzzy number-Monte Carlo stochastic simulation: A case study in western Jilin province

Li, Tao; Bian, Jianmin; Ruan, Dongmei; Xu, Liwen; Zhang, Siting

doi:10.1016/j.ecoenv.2024.116736

Ecotoxicology and Environmental Safety

2024

DOI: 10.1016/j.ecoenv.2024.116736

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Groundwater health risk assessment and its temporal and spatial evolution based on trapezoidal fuzzy number-Monte Carlo stochastic simulation: A case study in western Jilin province

Tao Li,

Jianmin Bian,

Dongmei Ruan

et al.

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Cited by 2 publications

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Monte Carlo simulation and PMF model for assessing human health risks associated with heavy metals in groundwater: a case study of the Nubian aquifer, Siwa depression, Egypt

Eid,

Mikita,

Eissa

et al. 2024

Front. Earth Sci.

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IntroductionThe groundwater in arid countries such as Egypt represent the main water resources in the desert regions due to the long distance between these regions (oasis) and Nile River. Contamination of these limited water resources with toxic metals threaten the health of individuals in these regions.MethodsThe current study integrates isotopic tracers, hydrogeochemistry, geophysical logs, positive matrix factorization (PMF model), and Monte Carlo (MCS) simulation for pollution source apportionment and health risks associated with heavy metals in the Nubian Sandstone aquifer (NSSA).Results and DiscussionThe water resource used for drinking purposes (NSSA) is pale meteoric water (non-rechargeable aquifer). Silicate weathering, old trapped sea water, reverse ion exchange evaporation, and dissolution are the dominant mechanisms controlling water chemistry. PMF model showed that the major ions and heavy metals in groundwater of the NSSA originated from four significant sources (anthropogenic activities, dissolution of minerals, iron-bearing minerals, mixing with old trapped seawater, and hydrothermal water). The total risk (HI) oral values highlighted significant non-carcinogenic dangers for adults and children through the oral exposure. At the same time, dermal contact posed a no risk for adults and a high risk for children. Most samples had carcinogenic risk (CR) values higher than the allowed limits (1.0E-4) for metals like Cadmium, chromium, and lead, suggesting carcinogenic effects across all age groups. The Monte Carlo approach-based health concern evaluation model assessed the 5th % CR oral values (child) as 0.00012, 0.0036, and 0.0088 for Cd, Cr, and Pb, respectively, indicating more significant potential dangers to children. Urgent and comprehensive water treatment measures are imperative to mitigate the identified carcinogenic and non-carcinogenic health risks in the study area.

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Monte Carlo simulation and PMF model for assessing human health risks associated with heavy metals in groundwater: a case study of the Nubian aquifer, Siwa depression, Egypt

Eid,

Mikita,

Eissa

et al. 2024

Front. Earth Sci.

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Ecological Zoning Study on the Coupling of Land Use Intensity and Landscape Ecological Risk in Western Jilin: A Production–Living–Ecological Space Perspective

Rina,

Bole,

Tong

et al. 2024

Sustainability

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Ecological zoning is essential for optimizing regional ecological management and improving environmental protection efficiency. While previous studies have primarily focused on the independent analysis of land use intensity (LUI) and landscape ecological risk (LER), there has been limited research on their coupled relationship. This study, conducted in the Western Jilin (WJL), introduces an innovative ecological zoning method based on the Production–Living–Ecological Space (PLES) framework, which explores the interactions between LUI and LER, filling a gap in existing research. The method employs a coupling coordination degree (CCD) model and Geographic Information System (GIS) technology to construct an LUI-ERI coupling model, which is used to delineate ecological zones. The results indicate that: (1) The PLES in the study area is predominantly production space (PS), with the largest area of transfer being production ecological space (PES) 2784.23 km2, and the most significant transfer in being PS 3112.33 km2. (2) Between 2000 and 2020, both LUI and LER exhibited downward trends, with opposite spatial distribution characteristics. The “middle” intensity zone and “highest” risk zone were the dominant LUI and LER types, covering approximately 46% and 45% of the total area, respectively. (3) The coupling coordination degree between LUI and LER showed a polarized trend, with an overall upward trajectory from 2000 to 2020. (4) The ecological zoning of the WJL can be categorized into an ecological core protection (ECP) zone, ecological potential governance (EPG) zone, ecological comprehensive monitoring (ECM) zone, ecological optimization (EO) zone, and ecological restoration (ER) zone, with the ecological core protection area occupying 61.63% of the total area. This study provides a novel perspective on ecological zoning and offers a systematic scientific basis for regional ecological management and spatial planning.

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Groundwater health risk assessment and its temporal and spatial evolution based on trapezoidal fuzzy number-Monte Carlo stochastic simulation: A case study in western Jilin province

Cited by 2 publications

References 39 publications

Monte Carlo simulation and PMF model for assessing human health risks associated with heavy metals in groundwater: a case study of the Nubian aquifer, Siwa depression, Egypt

Monte Carlo simulation and PMF model for assessing human health risks associated with heavy metals in groundwater: a case study of the Nubian aquifer, Siwa depression, Egypt

Ecological Zoning Study on the Coupling of Land Use Intensity and Landscape Ecological Risk in Western Jilin: A Production–Living–Ecological Space Perspective

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