113 related articles for article (PubMed ID: 38768726)
1. Identifying interactive effects of spatial drivers in soil heavy metal pollutants using interpretable machine learning models.
Duan D; Wang P; Rao X; Zhong J; Xiao M; Huang F; Xiao R
Sci Total Environ; 2024 Jul; 934():173284. PubMed ID: 38768726
[TBL] [Abstract][Full Text] [Related]
2. A comprehensive framework for identifying contributing factors of soil trace metal pollution using Geodetector and spatial bivariate analysis.
Shi H; Wang P; Zheng J; Deng Y; Zhuang C; Huang F; Xiao R
Sci Total Environ; 2023 Jan; 857(Pt 3):159636. PubMed ID: 36280075
[TBL] [Abstract][Full Text] [Related]
3. Accurate Prediction of Soil Heavy Metal Pollution Using an Improved Machine Learning Method: A Case Study in the Pearl River Delta, China.
Zhao W; Ma J; Liu Q; Dou L; Qu Y; Shi H; Sun Y; Chen H; Tian Y; Wu F
Environ Sci Technol; 2023 Nov; 57(46):17751-17761. PubMed ID: 36821784
[TBL] [Abstract][Full Text] [Related]
4. Soil heavy metal source apportionment and environmental differentiation study in Dulan County, Qinghai Province, using geodetector analysis.
Yang Y; Tian Q; Niu Y; Wang Z
Environ Monit Assess; 2023 Dec; 196(1):70. PubMed ID: 38123669
[TBL] [Abstract][Full Text] [Related]
5. [Identifying Driving Factors and Their Interacting Effects on Sources of Heavy Metal in Farmland Soils with Geodetector and Multi-source Data].
Zhang HZ; Cui WG; Liu SH; Cui HW; Huang YM
Huan Jing Ke Xue; 2023 Apr; 44(4):2177-2191. PubMed ID: 37040967
[TBL] [Abstract][Full Text] [Related]
6. Machine learning combined with Geodetector quantifies the synergistic effect of environmental factors on soil heavy metal pollution.
Lei K; Li Y; Zhang Y; Wang S; Yu E; Li F; Xiao F; Shi Z; Xia F
Environ Sci Pollut Res Int; 2023 Dec; 30(60):126148-126164. PubMed ID: 38008833
[TBL] [Abstract][Full Text] [Related]
7. [Spatial Variation of Heavy Metals in Soils and Its Ecological Risk Evaluation in a Typical
Zhang HJ; Zhao KL; Ye ZQ; Xu B; Zhao WM; Gu XB; Zhang HF
Huan Jing Ke Xue; 2018 Jun; 39(6):2893-2903. PubMed ID: 29965648
[TBL] [Abstract][Full Text] [Related]
8. A synthesis framework using machine learning and spatial bivariate analysis to identify drivers and hotspots of heavy metal pollution of agricultural soils.
Yang S; Taylor D; Yang D; He M; Liu X; Xu J
Environ Pollut; 2021 Oct; 287():117611. PubMed ID: 34174665
[TBL] [Abstract][Full Text] [Related]
9. Towards interpretable machine learning for observational quantification of soil heavy metal concentrations under environmental constraints.
Sun Y; Chen S; Jiang H; Qin B; Li D; Jia K; Wang C
Sci Total Environ; 2024 May; 926():171931. PubMed ID: 38531447
[TBL] [Abstract][Full Text] [Related]
10. Effect of environmental factors on accumulation of trace metals in a typical shale gas exploitation area: A comprehensive investigation by machine learning and geodetector models.
Bai H; Li Y; Lu P; Li Y; Zhang L; Zhang D; Wang X; Zhou Y
Chemosphere; 2024 Jan; 347():140724. PubMed ID: 37972868
[TBL] [Abstract][Full Text] [Related]
11. [Spatial Differentiation and Influencing Factor Analysis of Soil Heavy Metal Content at Town Level Based on Geographic Detector].
Gong C; Wang L; Wang SX; Zhang ZX; Dong H; Liu JF; Wang DW; Yan BQ; Chen Y
Huan Jing Ke Xue; 2022 Oct; 43(10):4566-4577. PubMed ID: 36224142
[TBL] [Abstract][Full Text] [Related]
12. Interactive effects of natural and anthropogenic factors on heterogenetic accumulations of heavy metals in surface soils through geodetector analysis.
Huang S; Xiao L; Zhang Y; Wang L; Tang L
Sci Total Environ; 2021 Oct; 789():147937. PubMed ID: 34049148
[TBL] [Abstract][Full Text] [Related]
13. Heavy Metal Pollution and Source Contributions in Agricultural Soils Developed from Karst Landform in the Southwestern Region of China.
Qin Y; Zhang F; Xue S; Ma T; Yu L
Toxics; 2022 Sep; 10(10):. PubMed ID: 36287848
[TBL] [Abstract][Full Text] [Related]
14. Spatial distribution characteristics of soil heavy metals in Sabao Chaqu watershed of Tuotuo river, Qinghai-Tibet Plateau based on geographic detector.
Gong C; Tan C; Dong H; Lu H; Wang S; Liao Z; Wangzha D; Zhaxi W; Tudan J; Wen L
Sci Rep; 2024 Apr; 14(1):9204. PubMed ID: 38649383
[TBL] [Abstract][Full Text] [Related]
15. Delineating and identifying risk zones of soil heavy metal pollution in an industrialized region using machine learning.
Chen D; Wang X; Luo X; Huang G; Tian Z; Li W; Liu F
Environ Pollut; 2023 Feb; 318():120932. PubMed ID: 36566920
[TBL] [Abstract][Full Text] [Related]
16. [Characteristics and Assessment of Heavy Metal Contamination in Soils of Industrial Regions in the Yangtze River Economic Belt].
Zhang Y; Zhou XQ; Zeng XM; Feng J; Liu YR
Huan Jing Ke Xue; 2022 Apr; 43(4):2062-2070. PubMed ID: 35393830
[TBL] [Abstract][Full Text] [Related]
17. Impacts from Land Use Pattern on Spatial Distribution of Cultivated Soil Heavy Metal Pollution in Typical Rural-Urban Fringe of Northeast China.
Li W; Wang D; Wang Q; Liu S; Zhu Y; Wu W
Int J Environ Res Public Health; 2017 Mar; 14(3):. PubMed ID: 28327541
[TBL] [Abstract][Full Text] [Related]
18. [Spatial Distribution Characteristics and Pollution Evaluation of Heavy Metals in Arable Land Soil of China].
Chen WX; Li Q; Wang Z; Sun ZJ
Huan Jing Ke Xue; 2020 Jun; 41(6):2822-2833. PubMed ID: 32608799
[TBL] [Abstract][Full Text] [Related]
19. Spatial distribution and source identification of potentially toxic elements in Yellow River Delta soils, China: An interpretable machine-learning approach.
Zhou M; Li Y
Sci Total Environ; 2024 Feb; 912():169092. PubMed ID: 38056655
[TBL] [Abstract][Full Text] [Related]
20. Distribution characteristics and potential ecological risk assessment of heavy metals in soils around Shannan landfill site, Tibet.
Zhou W; Dan Z; Meng D; Zhou P; Chang K; Zhuoma Q; Wang J; Xu F; Chen G
Environ Geochem Health; 2023 Feb; 45(2):393-407. PubMed ID: 35962211
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]