150 related articles for article (PubMed ID: 32696201)
1. Effectiveness of predicting spatial contaminant distributions at industrial sites using partitioned interpolation method.
Qiao P; Yang S; Wei W; Li P; Cheng Y; Liang S; Lei M; Chen T
Environ Geochem Health; 2021 Jan; 43(1):23-36. PubMed ID: 32696201
[TBL] [Abstract][Full Text] [Related]
2. Comparison of common spatial interpolation methods for analyzing pollutant spatial distributions at contaminated sites.
Qiao P; Li P; Cheng Y; Wei W; Yang S; Lei M; Chen T
Environ Geochem Health; 2019 Dec; 41(6):2709-2730. PubMed ID: 31144251
[TBL] [Abstract][Full Text] [Related]
3. Comparing ordinary kriging and inverse distance weighting for soil as pollution in Beijing.
Qiao P; Lei M; Yang S; Yang J; Guo G; Zhou X
Environ Sci Pollut Res Int; 2018 Jun; 25(16):15597-15608. PubMed ID: 29572743
[TBL] [Abstract][Full Text] [Related]
4. Optimization of spatial prediction and sampling strategy of site contamination based on Thiessen polygon coupling interpolation.
Liu X; Zheng L; Li Z; Liu F; Obin N
Environ Sci Pollut Res Int; 2023 Jul; 30(32):78959-78972. PubMed ID: 37278892
[TBL] [Abstract][Full Text] [Related]
5. Comparison of the common spatial interpolation methods used to analyze potentially toxic elements surrounding mining regions.
Ding Q; Wang Y; Zhuang D
J Environ Manage; 2018 Apr; 212():23-31. PubMed ID: 29427938
[TBL] [Abstract][Full Text] [Related]
6. [Spatial distribution prediction of surface soil Pb in a battery contaminated site].
Liu G; Niu JJ; Zhang C; Zhao X; Guo GL
Huan Jing Ke Xue; 2014 Dec; 35(12):4712-9. PubMed ID: 25826945
[TBL] [Abstract][Full Text] [Related]
7. Spatial distribution of soil heavy metal pollution estimated by different interpolation methods: accuracy and uncertainty analysis.
Xie Y; Chen TB; Lei M; Yang J; Guo QJ; Song B; Zhou XY
Chemosphere; 2011 Jan; 82(3):468-76. PubMed ID: 20970158
[TBL] [Abstract][Full Text] [Related]
8. Improving the mapping accuracy of soil heavy metals through an adaptive multi-fidelity interpolation method.
Ju L; Guo S; Ruan X; Wang Y
Environ Pollut; 2023 Aug; 330():121827. PubMed ID: 37187280
[TBL] [Abstract][Full Text] [Related]
9. Optimizing spatial interpolation method and sampling number for predicting cadmium distribution in the largest shallow lake of North China.
Wen L; Zhang L; Bai J; Wang Y; Wei Z; Liu H
Chemosphere; 2022 Dec; 309(Pt 2):136789. PubMed ID: 36223825
[TBL] [Abstract][Full Text] [Related]
10. [Comparison of various spatial interpolation methods for non-stationary regional soil mercury content].
Hu KL; Li BG; Lu YZ; Zhang FR
Huan Jing Ke Xue; 2004 May; 25(3):132-7. PubMed ID: 15327270
[TBL] [Abstract][Full Text] [Related]
11. An improved non-stationary geostatistical method for three-dimensional interpolation of Benzo(a)pyrene at a contaminated site.
Li Y; Hou Y; Tao H; Cao H; Liu X; Wang Z; Liao X
Sci Total Environ; 2022 Sep; 838(Pt 2):156169. PubMed ID: 35613641
[TBL] [Abstract][Full Text] [Related]
12. Comparison of four methods for spatial interpolation of estimated atmospheric nitrogen deposition in South China.
Qu L; Xiao H; Zheng N; Zhang Z; Xu Y
Environ Sci Pollut Res Int; 2017 Jan; 24(3):2578-2588. PubMed ID: 27826827
[TBL] [Abstract][Full Text] [Related]
13. A novel interpolation method to predict soil heavy metals based on a genetic algorithm and neural network model.
Yin G; Chen X; Zhu H; Chen Z; Su C; He Z; Qiu J; Wang T
Sci Total Environ; 2022 Jun; 825():153948. PubMed ID: 35219652
[TBL] [Abstract][Full Text] [Related]
14. Accuracy and uncertainty analysis of soil Bbf spatial distribution estimation at a coking plant-contaminated site based on normalization geostatistical technologies.
Liu G; Niu J; Zhang C; Guo G
Environ Sci Pollut Res Int; 2015 Dec; 22(24):20121-30. PubMed ID: 26300353
[TBL] [Abstract][Full Text] [Related]
15. [Spatial Interpolation Methods and Pollution Assessment of Heavy Metals of Soil in Typical Areas].
Ma HH; Yu T; Yang ZF; Hou QY; Zeng QL; Wang R
Huan Jing Ke Xue; 2018 Oct; 39(10):4684-4693. PubMed ID: 30229617
[TBL] [Abstract][Full Text] [Related]
16. Spatial distribution prediction of soil As in a large-scale arsenic slag contaminated site based on an integrated model and multi-source environmental data.
Liu G; Zhou X; Li Q; Shi Y; Guo G; Zhao L; Wang J; Su Y; Zhang C
Environ Pollut; 2020 Dec; 267():115631. PubMed ID: 33254608
[TBL] [Abstract][Full Text] [Related]
17. Arsenic Distribution Assessment in a Residential Area Polluted with Mining Residues.
Manjarrez-Domínguez CB; Prieto-Amparán JA; Valles-Aragón MC; Delgado-Caballero MDR; Alarcón-Herrera MT; Nevarez-Rodríguez MC; Vázquez-Quintero G; Berzoza-Gaytan CA
Int J Environ Res Public Health; 2019 Jan; 16(3):. PubMed ID: 30699962
[TBL] [Abstract][Full Text] [Related]
18. Comparison of different interpolation methods and sequential Gaussian simulation to estimate volumes of soil contaminated by As, Cr, Cu, PCP and dioxins/furans.
Metahni S; Coudert L; Gloaguen E; Guemiza K; Mercier G; Blais JF
Environ Pollut; 2019 Sep; 252(Pt A):409-419. PubMed ID: 31158669
[TBL] [Abstract][Full Text] [Related]
19. Geostatistical interpolation of available copper in orchard soil as influenced by planting duration.
Fu C; Zhang H; Tu C; Li L; Luo Y
Environ Sci Pollut Res Int; 2018 Jan; 25(1):52-63. PubMed ID: 27798802
[TBL] [Abstract][Full Text] [Related]
20. Assessment of Ordinary Kriging and Inverse Distance Weighting Methods for Modeling Chromium and Cadmium Soil Pollution in E-Waste Sites in Douala, Cameroon.
Ouabo RE; Sangodoyin AY; Ogundiran MB
J Health Pollut; 2020 Jun; 10(26):200605. PubMed ID: 32509406
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
