155 related articles for article (PubMed ID: 36239890)
1. Estimation of multi-media metal(loid)s around abandoned mineral processing plants using hyperspectral technology and extreme learning machine.
Bian Z; Sun L; Tian K; Liu B; Huang B; Wu L
Environ Sci Pollut Res Int; 2023 Feb; 30(7):19495-19512. PubMed ID: 36239890
[TBL] [Abstract][Full Text] [Related]
2. Estimation of Heavy Metals in Tailings and Soils Using Hyperspectral Technology: A Case Study in a Tin-Polymetallic Mining Area.
Bian Z; Sun L; Tian K; Liu B; Zhang X; Mao Z; Huang B; Wu L
Bull Environ Contam Toxicol; 2021 Dec; 107(6):1022-1031. PubMed ID: 34241644
[TBL] [Abstract][Full Text] [Related]
3. Contamination vertical distribution and key factors identification of metal(loid)s in site soil from an abandoned Pb/Zn smelter using machine learning.
Guo Z; Zhang Y; Xu R; Xie H; Xiao X; Peng C
Sci Total Environ; 2023 Jan; 856(Pt 2):159264. PubMed ID: 36208763
[TBL] [Abstract][Full Text] [Related]
4. Retrieving soil heavy metals concentrations based on GaoFen-5 hyperspectral satellite image at an opencast coal mine, Inner Mongolia, China.
Zhang B; Guo B; Zou B; Wei W; Lei Y; Li T
Environ Pollut; 2022 May; 300():118981. PubMed ID: 35150799
[TBL] [Abstract][Full Text] [Related]
5. Modeling risk assessment of soil heavy metal pollution using partial least squares and fuzzy logic: A case study of a gully type coal-based solid waste dumpsite.
Wang X; Zhao C; Li Z; Huang J
Environ Pollut; 2024 Jul; 352():124147. PubMed ID: 38735463
[TBL] [Abstract][Full Text] [Related]
6. [Inversion of Soil Organic Matter Content Using Hyperspectral Data Based on Continuous Wavelet Transformation].
Yu L; Hong YS; Zhou Y; Zhu Q
Guang Pu Xue Yu Guang Pu Fen Xi; 2016 May; 36(5):1428-33. PubMed ID: 30001021
[TBL] [Abstract][Full Text] [Related]
7. Random forest-based estimation of heavy metal concentration in agricultural soils with hyperspectral sensor data.
Tan K; Ma W; Wu F; Du Q
Environ Monit Assess; 2019 Jun; 191(7):446. PubMed ID: 31214787
[TBL] [Abstract][Full Text] [Related]
8. Hyperspectral-based Inversion of Heavy Metal Content in the Soil of Coal Mining Areas.
Hou L; Li X; Li F
J Environ Qual; 2019 Jan; 48(1):57-63. PubMed ID: 30640357
[TBL] [Abstract][Full Text] [Related]
9. Field hyperspectral data and OLI8 multispectral imagery for heavy metal content prediction and mapping around an abandoned Pb-Zn mining site in northern Tunisia.
Mezned N; Alayet F; Dkhala B; Abdeljaouad S
Heliyon; 2022 Jun; 8(6):e09712. PubMed ID: 35756131
[TBL] [Abstract][Full Text] [Related]
10. The New Hyperspectral Analysis Method for Distinguishing the Types of Heavy Metal Copper and Lead Pollution Elements.
Zhang J; Wang M; Yang K; Li Y; Li Y; Wu B; Han Q
Int J Environ Res Public Health; 2022 Jun; 19(13):. PubMed ID: 35805414
[TBL] [Abstract][Full Text] [Related]
11. Hyperspectral inversion of heavy metal content in reclaimed soil from a mining wasteland based on different spectral transformation and modeling methods.
Zhang S; Shen Q; Nie C; Huang Y; Wang J; Hu Q; Ding X; Zhou Y; Chen Y
Spectrochim Acta A Mol Biomol Spectrosc; 2019 Mar; 211():393-400. PubMed ID: 30594866
[TBL] [Abstract][Full Text] [Related]
12. Development of a soil heavy metal estimation method based on a spectral index: Combining fractional-order derivative pretreatment and the absorption mechanism.
Chen L; Lai J; Tan K; Wang X; Chen Y; Ding J
Sci Total Environ; 2022 Mar; 813():151882. PubMed ID: 34822891
[TBL] [Abstract][Full Text] [Related]
13. Distribution and transfer of potentially toxic metal(loid)s in Juncus effusus from the indigenous zinc smelting area, northwest region of Guizhou Province, China.
Peng Y; Chen J; Wei H; Li S; Jin T; Yang R
Ecotoxicol Environ Saf; 2018 May; 152():24-32. PubMed ID: 29367113
[TBL] [Abstract][Full Text] [Related]
14. Inversion of soil heavy metals in metal tailings area based on different spectral transformation and modeling methods.
Yang N; Han L; Liu M
Heliyon; 2023 Sep; 9(9):e19782. PubMed ID: 37809479
[TBL] [Abstract][Full Text] [Related]
15. Health risk assessment of potentially toxic elements (PTEs) concentrations in soil and fruits of selected perennial economic trees growing naturally in the vicinity of the abandoned mining ponds in Kuba, Bokkos Local Government Area (LGA) Plateau State, Nigeria.
Mafulul SG; Joel EB; Gushit J
Environ Geochem Health; 2023 Aug; 45(8):5893-5914. PubMed ID: 37183215
[TBL] [Abstract][Full Text] [Related]
16. Spatial heterogeneity and source apportionment of soil metal(loid)s in an abandoned lead/zinc smelter.
Zhang Y; Li T; Guo Z; Xie H; Hu Z; Ran H; Li C; Jiang Z
J Environ Sci (China); 2023 May; 127():519-529. PubMed ID: 36522082
[TBL] [Abstract][Full Text] [Related]
17. Contamination levels of and potential risks from metal(loid)s in soil-crop systems in high geological background areas.
Liu J; Li X; Zhang P; Zhu Q; Lu W; Yang Y; Li Y; Zhou J; Wu L; Zhang N; Christie P
Sci Total Environ; 2023 Jul; 881():163405. PubMed ID: 37044330
[TBL] [Abstract][Full Text] [Related]
18. Temporal-spatial variation and partitioning of dissolved and particulate heavy metal(loid)s in a river affected by mining activities in Southern China.
Wang J; Liu G; Wu H; Zhang T; Liu X; Li W
Environ Sci Pollut Res Int; 2018 Apr; 25(10):9828-9839. PubMed ID: 29372524
[TBL] [Abstract][Full Text] [Related]
19. Driving effects and transfer prediction of heavy metal(loid)s in contaminated courtyard gardens using redundancy analysis and multilayer perceptron.
Hao H; Li P; Li Y; Lv Y; Chen W; Xu J; Ge D
Environ Monit Assess; 2022 Oct; 195(1):46. PubMed ID: 36308616
[TBL] [Abstract][Full Text] [Related]
20. Bioavailable metal(loid)s and physicochemical features co-mediating microbial communities at combined metal(loid) pollution sites.
Wang J; Liu T; Sun W; Chen Q
Chemosphere; 2020 Dec; 260():127619. PubMed ID: 32683027
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
