Spatial variability and hotspot prediction of heavy metal pollution in soil-rice system: based on a new geostatistical method-Reference-Cited by-同舟云学术

Spatial variability and hotspot prediction of heavy metal pollution in soil-rice system: based on a new geostatistical method

Published:2023-04-11 Issue: Volume: Page:1-23
ISSN:0306-7319
Container-title:International Journal of Environmental Analytical Chemistry
language:en
Short-container-title:International Journal of Environmental Analytical Chemistry

Author:

Wu Dun¹,Liu Hai²,Gao Xia³,Li Bo¹,Kataza Nyasha Ndhlovu¹

Affiliation:

1. Key Laboratory of Intelligent Underground Detection Technology, School of civil engineering, Anhui Jianzhu University, Hefei, Anhui, China

2. Geological Exploration and Disaster Prevention Department, Public Geological Survey Management Center in Anhui Province, Hefei, Anhui, China

3. School of Architecture & Urban Planning, Anhui Jianzhu University, Hefei, Anhui, China

Funder

Anhui Provincial Key Research and Development Plan

Publisher

Informa UK Limited

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health,Pollution,Soil Science,Waste Management and Disposal,Water Science and Technology,Environmental Chemistry,Analytical Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/03067319.2023.2198644

Reference52 articles.

1. Spatial analysis of trace elements in a moss bio-monitoring data over France by accounting for source, protocol and environmental parameters

2. Pathways of heavy metals contamination and associated human health risk in Ajay River basin, India

3. Contamination Assessment and Source Identification of Heavy Metals in River Sediments in Nantong, Eastern China

4. Source identification of eight hazardous heavy metals in agricultural soils of Huizhou, Guangdong Province, China

5. Heavy metal contamination in vegetables grown around peri-urban and urban-industrial clusters in Ghaziabad, India

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