127 related articles for article (PubMed ID: 33360659)
1. Resampling with in situ field portable X-ray fluorescence spectrometry (FPXRF) to reduce the uncertainty in delineating the remediation area of soil heavy metals.
Qu M; Chen J; Huang B; Zhao Y
Environ Pollut; 2021 Feb; 271():116310. PubMed ID: 33360659
[TBL] [Abstract][Full Text] [Related]
2. Source apportionment of soil heavy metals using robust spatial receptor model with categorical land-use types and RGWR-corrected in-situ FPXRF data.
Qu M; Chen J; Huang B; Zhao Y
Environ Pollut; 2021 Feb; 270():116220. PubMed ID: 33333403
[TBL] [Abstract][Full Text] [Related]
3. Additional sampling using in-situ portable X-ray fluorescence (PXRF) for rapid and high-precision investigation of soil heavy metals at a regional scale.
Qu M; Guang X; Liu H; Zhao Y; Huang B
Environ Pollut; 2022 Jan; 292(Pt A):118324. PubMed ID: 34637827
[TBL] [Abstract][Full Text] [Related]
4. Spatial uncertainty assessment of the environmental risk of soil copper using auxiliary portable X-ray fluorescence spectrometry data and soil pH.
Qu M; Wang Y; Huang B; Zhao Y
Environ Pollut; 2018 Sep; 240():184-190. PubMed ID: 29734079
[TBL] [Abstract][Full Text] [Related]
5. Correction of in-situ portable X-ray fluorescence (PXRF) data of soil heavy metal for enhancing spatial prediction.
Qu M; Chen J; Li W; Zhang C; Wan M; Huang B; Zhao Y
Environ Pollut; 2019 Nov; 254(Pt A):112993. PubMed ID: 31401521
[TBL] [Abstract][Full Text] [Related]
6. A comparison of Cu, Pb, As, Cd, Zn, Fe, Ni and Mn determined by acid extraction/ICP-OES and ex situ field portable X-ray fluorescence analyses.
Kilbride C; Poole J; Hutchings TR
Environ Pollut; 2006 Sep; 143(1):16-23. PubMed ID: 16406626
[TBL] [Abstract][Full Text] [Related]
7. A decision-making approach for delineating sites which are potentially contaminated by heavy metals via joint simulation.
Lin WC; Lin YP; Wang YC
Environ Pollut; 2016 Apr; 211():98-110. PubMed ID: 26745395
[TBL] [Abstract][Full Text] [Related]
8. Spatially apportioning the source-oriented ecological risks of soil heavy metals using robust spatial receptor model with land-use data and robust residual kriging.
Qu M; Guang X; Zhao Y; Huang B
Environ Pollut; 2021 Sep; 285():117261. PubMed ID: 33945943
[TBL] [Abstract][Full Text] [Related]
9. Improvement of Spatial Modeling of Cr, Pb, Cd, As and Ni in Soil Based on Portable X-ray Fluorescence (PXRF) and Geostatistics: A Case Study in East China.
Xia F; Hu B; Shao S; Xu D; Zhou Y; Zhou Y; Huang M; Li Y; Chen S; Shi Z
Int J Environ Res Public Health; 2019 Jul; 16(15):. PubMed ID: 31357738
[TBL] [Abstract][Full Text] [Related]
10. Assessment of field portable X-ray fluorescence spectrometry for the in situ determination of heavy metals in soils and plants.
Gutiérrez-Ginés MJ; Pastor J; Hernández AJ
Environ Sci Process Impacts; 2013 Aug; 15(8):1545-52. PubMed ID: 23793270
[TBL] [Abstract][Full Text] [Related]
11. Enhancing apportionment of the point and diffuse sources of soil heavy metals using robust geostatistics and robust spatial receptor model with categorical soil-type data.
Qu M; Chen J; Huang B; Zhao Y
Environ Pollut; 2020 Oct; 265(Pt A):114964. PubMed ID: 32554094
[TBL] [Abstract][Full Text] [Related]
12. Heavy Metal Pollution Delineation Based on Uncertainty in a Coastal Industrial City in the Yangtze River Delta, China.
Hu B; Zhao R; Chen S; Zhou Y; Jin B; Li Y; Shi Z
Int J Environ Res Public Health; 2018 Apr; 15(4):. PubMed ID: 29642623
[TBL] [Abstract][Full Text] [Related]
13. Uncertainty assessment of spatiotemporal distribution and variation in regional soil heavy metals based on spatiotemporal sequential Gaussian simulation.
Yan Y; Yang Y
Environ Pollut; 2023 Apr; 322():121243. PubMed ID: 36764379
[TBL] [Abstract][Full Text] [Related]
14. Using sequential indicator simulation to assess the uncertainty of delineating heavy-metal contaminated soils.
Juang KW; Chen YS; Lee DY
Environ Pollut; 2004; 127(2):229-38. PubMed ID: 14568722
[TBL] [Abstract][Full Text] [Related]
15. [Using sequential indicator simulation method to define risk areas of soil heavy metals in farmland.].
Yang H; Song YQ; Hu YM; Chen FX; Zhang R
Ying Yong Sheng Tai Xue Bao; 2018 May; 29(5):1695-1704. PubMed ID: 29797904
[TBL] [Abstract][Full Text] [Related]
16. Use of portable X-ray fluorescence spectroscopy and geostatistics for health risk assessment.
Yang M; Wang C; Yang ZP; Yan N; Li FY; Diao YW; Chen MD; Li HM; Wang JH; Qian X
Ecotoxicol Environ Saf; 2018 May; 153():68-77. PubMed ID: 29407740
[TBL] [Abstract][Full Text] [Related]
17. Exploring the spatially varying relationships between cadmium accumulations and the main influential factors in the rice-wheat rotation system in a large-scale area.
Qu M; Chen J; Huang B; Zhao Y
Sci Total Environ; 2020 Sep; 736():139565. PubMed ID: 32485375
[TBL] [Abstract][Full Text] [Related]
18. Potential toxic trace element (PTE) contamination in Baoji urban soil (NW China): spatial distribution, mobility behavior, and health risk.
Li X; Wu T; Bao H; Liu X; Xu C; Zhao Y; Liu D; Yu H
Environ Sci Pollut Res Int; 2017 Aug; 24(24):19749-19766. PubMed ID: 28685332
[TBL] [Abstract][Full Text] [Related]
19. A Rapid, Accurate, and Efficient Method to Map Heavy Metal-Contaminated Soils of Abandoned Mine Sites Using Converted Portable XRF Data and GIS.
Suh J; Lee H; Choi Y
Int J Environ Res Public Health; 2016 Dec; 13(12):. PubMed ID: 27916970
[TBL] [Abstract][Full Text] [Related]
20. Identifying quantitative sources and spatial distributions of potentially toxic elements in soils by using three receptor models and sequential indicator simulation.
Wang Y; Zhang L; Wang J; Lv J
Chemosphere; 2020 Mar; 242():125266. PubMed ID: 31896197
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
