150 related articles for article (PubMed ID: 32696201)
21. Three-dimensional spatial prediction of Zn in the soil of a former tire manufacturing plant using machine learning and readily attainable multisource auxiliary data.
Peng Y; Chen J; Xie E; Zhang X; Yan G; Zhao Y
Environ Pollut; 2023 Feb; 318():120931. PubMed ID: 36565911
[TBL] [Abstract][Full Text] [Related]
22. [Comparison on the methods for spatial interpolation of the annual average precipitation in the Loess Plateau region].
Yu Y; Wei W; Chen LD; Yang L; Zhang HD
Ying Yong Sheng Tai Xue Bao; 2015 Apr; 26(4):999-1006. PubMed ID: 26259439
[TBL] [Abstract][Full Text] [Related]
23. Dataset characteristics influence the performance of different interpolation methods for soil salinity spatial mapping.
Fazeli Sangani M; Namdar Khojasteh D; Owens G
Environ Monit Assess; 2019 Oct; 191(11):684. PubMed ID: 31659465
[TBL] [Abstract][Full Text] [Related]
24. Comparison Study on the Estimation of the Spatial Distribution of Regional Soil Metal(loid)s Pollution Based on Kriging Interpolation and BP Neural Network.
Jia Z; Zhou S; Su Q; Yi H; Wang J
Int J Environ Res Public Health; 2017 Dec; 15(1):. PubMed ID: 29278363
[TBL] [Abstract][Full Text] [Related]
25. 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]
26. Spatial interpolation of red bed soil moisture in Nanxiong basin, South China.
Yan P; Lin K; Wang Y; Zheng Y; Gao X; Tu X; Bai C
J Contam Hydrol; 2021 Oct; 242():103860. PubMed ID: 34333299
[TBL] [Abstract][Full Text] [Related]
27. [Application of inverse distance weighted interpolation method in contaminated site assessment].
Yang WR; Wang RS; Huang JL; Chen Z; Li F
Ying Yong Sheng Tai Xue Bao; 2007 Sep; 18(9):2013-8. PubMed ID: 18062305
[TBL] [Abstract][Full Text] [Related]
28. Comparison of four spatial interpolation methods for estimating soil moisture in a complex terrain catchment.
Yao X; Fu B; Lü Y; Sun F; Wang S; Liu M
PLoS One; 2013; 8(1):e54660. PubMed ID: 23372749
[TBL] [Abstract][Full Text] [Related]
29. Ordinary kriging vs inverse distance weighting: spatial interpolation of the sessile community of Madagascar reef, Gulf of Mexico.
Zarco-Perello S; Simões N
PeerJ; 2017; 5():e4078. PubMed ID: 29204321
[TBL] [Abstract][Full Text] [Related]
30. Prediction of Soil Heavy Metal Distribution Using Geographically Weighted Regression Kriging.
Fu P; Yang Y; Zou Y
Bull Environ Contam Toxicol; 2022 Feb; 108(2):344-350. PubMed ID: 34741183
[TBL] [Abstract][Full Text] [Related]
31. Comparison of interpolation methods for the estimation of groundwater contamination in Andimeshk-Shush Plain, Southwest of Iran.
Mirzaei R; Sakizadeh M
Environ Sci Pollut Res Int; 2016 Feb; 23(3):2758-69. PubMed ID: 26446732
[TBL] [Abstract][Full Text] [Related]
32. Screening and optimization of interpolation methods for mapping soil-borne polychlorinated biphenyls.
Liu A; Qu C; Zhang J; Sun W; Shi C; Lima A; De Vivo B; Huang H; Palmisano M; Guarino A; Qi S; Albanese S
Sci Total Environ; 2024 Feb; 913():169498. PubMed ID: 38154632
[TBL] [Abstract][Full Text] [Related]
33. Spatial interpolation methods to predict airborne pesticide drift deposits on soils using knapsack sprayers.
García-Santos G; Scheiber M; Pilz J
Chemosphere; 2020 Nov; 258():127231. PubMed ID: 32563063
[TBL] [Abstract][Full Text] [Related]
34. 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]
35. [Precision of spatial interpolation for forest duff layer depth based on secondary variable].
Liu ZH; Chang Y; He HS; Chen HW
Ying Yong Sheng Tai Xue Bao; 2009 Jan; 20(1):77-83. PubMed ID: 19449569
[TBL] [Abstract][Full Text] [Related]
36. Spatiotemporal Interpolation for Environmental Modelling.
Susanto F; de Souza P; He J
Sensors (Basel); 2016 Aug; 16(8):. PubMed ID: 27509497
[TBL] [Abstract][Full Text] [Related]
37. Surface modeling of soil antibiotics.
Shi WJ; Yue TX; Du ZP; Wang Z; Li XW
Sci Total Environ; 2016 Feb; 543(Pt A):609-619. PubMed ID: 26613514
[TBL] [Abstract][Full Text] [Related]
38. Uncertainty analysis of total phosphorus spatial-temporal variations in the Yangtze River Estuary using different interpolation methods.
Liu R; Chen Y; Sun C; Zhang P; Wang J; Yu W; Shen Z
Mar Pollut Bull; 2014 Sep; 86(1-2):68-75. PubMed ID: 25113104
[TBL] [Abstract][Full Text] [Related]
39. Estimation of spatial distribution of heavy metals in groundwater using interpolation methods and multivariate statistical techniques; its suitability for drinking and irrigation purposes in the Middle Black Sea Region of Turkey.
Arslan H; Ayyildiz Turan N
Environ Monit Assess; 2015 Aug; 187(8):516. PubMed ID: 26202813
[TBL] [Abstract][Full Text] [Related]
40. Ensemble learning for spatial interpolation of soil potassium content based on environmental information.
Liu W; Du P; Wang D
PLoS One; 2015; 10(4):e0124383. PubMed ID: 25928138
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
