Journal ArticleDOI
Heavy metal contaminations in a soil-rice system: identification of spatial dependence in relation to soil properties of paddy fields.
TLDR
The results indicated some studied areas had potential contaminations by heavy metals, especially by Cd, which illustrated that the highest concentrations were located in the northwest areas and the accumulation of these metals may be due to the industrialization, agricultural chemicals and other human activities.About:
This article is published in Journal of Hazardous Materials.The article was published on 2010-09-15. It has received 367 citations till now. The article focuses on the topics: Soil classification & Soil organic matter.read more
Citations
More filters
Journal ArticleDOI
Heavy metals and living systems: An overview.
TL;DR: Molecular understanding of plant metal accumulation has numerous biotechnological implications also, the long term effects of which might not be yet known.
Journal ArticleDOI
The influence of pH and organic matter content in paddy soil on heavy metal availability and their uptake by rice plants
TL;DR: The combination of soil pH and organic matter content would produce the more precise regression models for estimation of EDTA-Cu, Pb and Zn contents in soils, demonstrating the distinct effect of the two factors on the availability of these heavy metals in soils.
Journal ArticleDOI
Impacts of soil and water pollution on food safety and health risks in China
Yonglong Lu,Shuai Song,Ruoshi Wang,Zhaoyang Liu,Jing Meng,Andrew J. Sweetman,Alan Jenkins,Robert C. Ferrier,Hong Li,Wei Luo,Tieyu Wang +10 more
TL;DR: A comprehensive map of both soil and water pollution threats to food safety in China is presented and integrated policies addressing soil andWater pollution for achieving food safety are suggested to provide a holistic approach.
Journal ArticleDOI
The Challenges and Solutions for Cadmium-contaminated Rice in China: A Critical Review.
Yuanan Hu,Hefa Cheng,Shu Tao +2 more
TL;DR: To eliminate the long-term risk of Cd entering the food chain, soils contaminated by Cd should be cleaned up when cost-effective remediation measures are available.
Journal ArticleDOI
Heavy metal contamination and human health risk assessment in drinking water from shallow groundwater wells in an agricultural area in Ubon Ratchathani province, Thailand
Pokkate Wongsasuluk,Srilert Chotpantarat,Wattasit Siriwong,Mark G. Robson,Mark G. Robson,Mark G. Robson +5 more
TL;DR: People living in warmer climates are more susceptible to and at greater risk of groundwater contamination because of their increased daily drinking water intake, which may lead to an increased number of cases of non-carcinogenic and carcinogenic health defects among local people exposed to heavy metals by drinking the groundwater.
References
More filters
Journal ArticleDOI
Sequential extraction procedure for the speciation of particulate trace metals
TL;DR: In this paper, an analytical procedure involving sequential chemicai extractions was developed for the partitioning of particulate trace metals (Cd, Co, Cu, Ni, Pb, Zn, Fe, and Mn) into five fractions: exchangeable, bound to carbonates, binding to Fe-Mn oxides and bound to organic matter.
Journal ArticleDOI
An Introduction to Applied Geostatistics
TL;DR: In this paper, an Introduction to Applied Geostatistics is presented, with a focus on the application of applied geometrics in the area of geostatistic applications.
Book
An Introduction to Applied Geostatistics
TL;DR: In this paper, Krigeage and continuite spatiale were used for interpolation of a variogramme with anisotropic interpolation reference record created on 2005-06-20, modified on 2011-09-01.
Book
Geostatistics for natural resources evaluation
TL;DR: In this article, an advanced-level introduction to geostatistics and Geostatistical methodology is provided, including tools for description, quantitative modeling of spatial continuity, spatial prediction, and assessment of local uncertainty and stochastic simulation.
Journal ArticleDOI
Geostatistics for Natural Resources Evaluation
TL;DR: This paper presents a meta-modelling framework that automates the very labor-intensive and therefore time-heavy and expensive process of manually cataloging and estimating the effects of noise in a discrete-time model.