Quantitative analysis and risk assessment of heavy metal pollution in an intensive industrial and agricultural region

Ecotoxicology and Environmental Safety, Journal Year: 2025, Volume and Issue: 289, P. 117634 - 117634

Published: Jan. 1, 2025

In recent decades, the study of heavy metal pollution has garnered significant attention owing to advancement industrialization. To explore contamination metals in an intensive industrial and agricultural region Shandong province, China, 101 surface soil samples 80 edible crop parts were collected from vicinity park. A positive matrix factorization-multilayer perceptron model (PMF-MLP) was established identify sources quantify complex relationships between sources, types, status. Index human health-risk methods used assess pollution. The results show that (1) lead (Pb) cadmium (Cd) may originate industrial-traffic mixed surrounding park, whereas copper (Cu) is derived southern farmland. (2) Pollution primarily concentrated central northern regions area. analysis PMF-MLP indicates activities account for majority (79.6 %) risk associated with Among them, industrial, traffic, livestock farms, types contribute 49.3, 24.5, 5.80 % total risk, respectively. (3) oral intake represents primary route entry into body. Cd Cu are most elements adverse health, contributing carcinogenic non-carcinogenic risks both adults children, will provide references formulation control strategies curb

Language: Английский

Mapping and assessing impacts of land use land cover and climate conditions on groundwater quality using RS & GIS

Applied Water Science, Journal Year: 2025, Volume and Issue: 15(3)

Published: Feb. 19, 2025

Abstract Groundwater is an essential source for drinking purposes; hence, a qualitative analysis necessary groundwater resources. This study aims to assess the impacts of dynamic land use cover (LULC) and climatic conditions on quality purposes. The investigative research used water index (WQI) analyze identified using LULC map conditions. It extends integrated combined approach different aspects. provides comprehensive understanding how various factors influence quality. total area classified as excellent, good, poor, very unfit consumption based WQI. results concluded that only 10.17% has excellent quality, 19.97% good 9.013% 5.73% have poor respectively, 55% consumption. indicated areas with agricultural expansion, urban development, some natural such topographic features high soil erodibility led dissolved solids, electrical conductivity levels, heavy metals. main lead contamination include expansion development. On other hand, conditions, variations in temperature precipitation, also influenced aids examining perspectives, which will lend hand managers make suitable decisions sustainable development plans conserve economically important region.

Language: Английский