Literature DB >> 15093507

Mapping heavy metals in polluted soil by disjunctive kriging.

B von Steiger1, R Webster, R Schulin, R Lehmann.   

Abstract

The soil of some 50 km(2) around the town of Weinfelden in north-east Switzerland has been sampled and analysed to estimate and map the concentrations of heavy metals before an incinerator for the canton's waste is built. Given that the estimates are subject to error, the probabilities that true values exceed the maximum tolerable concentrations of the Swiss federal guide have also been estimated by disjunctive kriging. These may now be used by the local planners for making decisions. Of the metals examined, lead exceeded the guide value at several sampling points, and a moderate probability of excess of lead is fairly widespread. Copper exceeded the guide value in vineyards and orchards, but also in a few places elsewhere, and the estimated probabilities of excess were not negligible. The other two metals of concern, cadmium (with one exception) and zinc, had concentrations much less than the guide values. The patterns of distribution of the four metals were similar, the product-moment correlations among them are substantial, except in the vineyards and orchards, and it seems likely that they had common sources.

Entities:  

Year:  1996        PMID: 15093507     DOI: 10.1016/s0269-7491(96)00060-7

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  11 in total

1.  Heavy metals assessment and identification of their sources in agricultural soils of Southern Tehran, Iran.

Authors:  Abbas Hani; Ebrahim Pazira
Journal:  Environ Monit Assess       Date:  2010-07-29       Impact factor: 2.513

2.  Uncertainty assessment for management of soil contaminants with sparse data.

Authors:  Ute Schnabel; Olaf Tietje; Roland W Scholz
Journal:  Environ Manage       Date:  2004-06       Impact factor: 3.266

3.  Ecological risk of heavy metals in sediments of the Luan River source water.

Authors:  Jingling Liu; Yongli Li; Bao Zhang; Jinling Cao; Zhiguo Cao; Joseph Domagalski
Journal:  Ecotoxicology       Date:  2009-06-05       Impact factor: 2.823

4.  Spatial distribution of Cd and Cu in soils in Shenyang Zhangshi Irrigation Area (SZIA), China.

Authors:  Li-na Sun; Xiao-bo Yang; Wen-qing Wang; Li Ma; Su Chen
Journal:  J Zhejiang Univ Sci B       Date:  2008-03       Impact factor: 3.066

5.  Heavy Metals in Surface Soils in the Upper Reaches of the Heihe River, Northeastern Tibetan Plateau, China.

Authors:  Jianwei Bu; Ziyong Sun; Aiguo Zhou; Youning Xu; Rui Ma; Wenhao Wei; Meng Liu
Journal:  Int J Environ Res Public Health       Date:  2016-02-23       Impact factor: 3.390

6.  Assessing Statistically Significant Heavy-Metal Concentrations in Abandoned Mine Areas via Hot Spot Analysis of Portable XRF Data.

Authors:  Sung-Min Kim; Yosoon Choi
Journal:  Int J Environ Res Public Health       Date:  2017-06-18       Impact factor: 3.390

7.  A Rapid, Accurate, and Efficient Method to Map Heavy Metal-Contaminated Soils of Abandoned Mine Sites Using Converted Portable XRF Data and GIS.

Authors:  Jangwon Suh; Hyeongyu Lee; Yosoon Choi
Journal:  Int J Environ Res Public Health       Date:  2016-12-01       Impact factor: 3.390

8.  A New Vegetation Index Based on Multitemporal Sentinel-2 Images for Discriminating Heavy Metal Stress Levels in Rice.

Authors:  Zhijiang Zhang; Meiling Liu; Xiangnan Liu; Gaoxiang Zhou
Journal:  Sensors (Basel)       Date:  2018-07-06       Impact factor: 3.576

9.  Mapping Copper and Lead Concentrations at Abandoned Mine Areas Using Element Analysis Data from ICP-AES and Portable XRF Instruments: A Comparative Study.

Authors:  Hyeongyu Lee; Yosoon Choi; Jangwon Suh; Seung-Ho Lee
Journal:  Int J Environ Res Public Health       Date:  2016-03-30       Impact factor: 3.390

10.  Heavy Metal Pollution Delineation Based on Uncertainty in a Coastal Industrial City in the Yangtze River Delta, China.

Authors:  Bifeng Hu; Ruiying Zhao; Songchao Chen; Yue Zhou; Bin Jin; Yan Li; Zhou Shi
Journal:  Int J Environ Res Public Health       Date:  2018-04-10       Impact factor: 3.390

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