Soil Heavy Metal Pollution in Upstream Bailang River, Eastern China: Spatial Analysis, Health Risks, and Pollution Source Identification DOI
Zongjun Gao, Jia Song,

Sandunika Dulakshini Abeysekara

и другие.

Soil and Sediment Contamination An International Journal, Год журнала: 2024, Номер unknown, С. 1 - 27

Опубликована: Июнь 6, 2024

The ecological and environmental concerns within Shandong Province's Bailang River basin in eastern China have garnered significant research attention. This study specifically delves into the issue of soil heavy metals (HM) pollution upstream area River. Diverse methodologies were employed to quantitatively assess status, implications, associated health risks posed by HM. Geostatistical methods facilitated a spatial analysis variations, while Principal Component Analysis (PCA) was utilized attribute sources pollutants. found be at moderate level pollution, with Cd (Coefficient Variation, CV = 37%), Ni (CV 49%), Hg 69%) identified as primary pollutants both quantitative analyses risk assessments. Overall, concentration HM higher western than zone, suggesting central zone. Human evaluations indicated that non-carcinogenic (Total Hazard Index – THI) for adults children met acceptable thresholds (0.11 0.98). However, 57.14% faced unacceptable risks, primarily attributed Chromium (Cr) Arsenic (As) exposure. Carcinogenic Risk TCRI) an risk. Oral intake method absorption. Qualitative major sources, including natural emissions traffic, coal combustion, agricultural activities, iron steel production. provides valuable insights safeguarding comprehensive evaluation pollution.

Язык: Английский

Research on the Carbon Sequestration Capacity of Forest Ecological Network Topological Features and Network Optimization Based on Modification Recognition in the Yellow River Basin Mining Area: A Case Study of Jincheng City DOI Creative Commons
Maolin Li, Qiang Yu,

Chenglong Xu

и другие.

Remote Sensing, Год журнала: 2024, Номер 16(11), С. 1986 - 1986

Опубликована: Май 31, 2024

Forests are vital for terrestrial ecosystems, providing crucial functions like carbon sequestration and water conservation. In the Yellow River Basin, where 70% of forest coverage is concentrated in middle reaches encompassing Sichuan, Shaanxi, Shanxi provinces, there exists significant potential coal production, with nine planned bases. This study centered on Jincheng City, Province, a representative mining area combined MSPA analysis method MCR model to generate five-period ecological network City from 1985 2022 under background calculate degree centrality, closeness betweenness eigenvector centrality; correlation between four centralities ability further explored. Simultaneously, employing RAND-ESU algorithm motif identification within networks, this integrates policies research specific conditions region optimize City. Findings reveal following. (1) Forest spatial networks: networks exhibit robust overall connectivity area, corridors spanning region. However, certain areas high resistance hinder key nodes mining. (2) Correlation topological indices services: From 2022, capacity City’s source increased year by year, positive correlations were observed centrality services, indicating strengthening trend over time. (3) Motif Recognition Ecological Network Optimization: During study, types motifs identified based number their connections using algorithm. These 3a, 4a, 4b, 4d (where represents letter connection type). Among these, 3a 4b play role. Based these practical considerations, optimization was performed existing enhance robustness network.

Язык: Английский

Процитировано

1

Environmental economics of green recovery in mineral extraction: Balancing production and conservation DOI
Peng Hong, Hailin Chen,

Yong Sun

и другие.

Resources Policy, Год журнала: 2024, Номер 96, С. 105202 - 105202

Опубликована: Июль 25, 2024

Язык: Английский

Процитировано

1

Examining the impact of mineral export controls on sustainable energy transition in the global south DOI
Linna Han, Xihui Haviour Chen, Yong Wang

и другие.

Resources Policy, Год журнала: 2024, Номер 98, С. 105289 - 105289

Опубликована: Сен. 10, 2024

Язык: Английский

Процитировано

1

Soil Heavy Metal Pollution in Upstream Bailang River, Eastern China: Spatial Analysis, Health Risks, and Pollution Source Identification DOI
Zongjun Gao, Jia Song,

Sandunika Dulakshini Abeysekara

и другие.

Soil and Sediment Contamination An International Journal, Год журнала: 2024, Номер unknown, С. 1 - 27

Опубликована: Июнь 6, 2024

The ecological and environmental concerns within Shandong Province's Bailang River basin in eastern China have garnered significant research attention. This study specifically delves into the issue of soil heavy metals (HM) pollution upstream area River. Diverse methodologies were employed to quantitatively assess status, implications, associated health risks posed by HM. Geostatistical methods facilitated a spatial analysis variations, while Principal Component Analysis (PCA) was utilized attribute sources pollutants. found be at moderate level pollution, with Cd (Coefficient Variation, CV = 37%), Ni (CV 49%), Hg 69%) identified as primary pollutants both quantitative analyses risk assessments. Overall, concentration HM higher western than zone, suggesting central zone. Human evaluations indicated that non-carcinogenic (Total Hazard Index – THI) for adults children met acceptable thresholds (0.11 0.98). However, 57.14% faced unacceptable risks, primarily attributed Chromium (Cr) Arsenic (As) exposure. Carcinogenic Risk TCRI) an risk. Oral intake method absorption. Qualitative major sources, including natural emissions traffic, coal combustion, agricultural activities, iron steel production. provides valuable insights safeguarding comprehensive evaluation pollution.

Язык: Английский

Процитировано

0