Identification of spatial patterns and sources of heavy metals in greenhouse soils using geostatistical and positive matrix factorization ( PMF ) methods-Reference-Cited by-同舟云学术

Identification of spatial patterns and sources of heavy metals in greenhouse soils using geostatistical and positive matrix factorization ( PMF ) methods

Published:2021-10-25 Issue:18 Volume:32 Page:5412-5426
ISSN:1085-3278
Container-title:Land Degradation & Development
language:en
Short-container-title:Land Degrad Dev

Author:

Meng Min¹²,Yang Linsheng¹²,Yu Jiangping¹,Wei Binggan¹^ORCID,Li Hairong¹²,Cao Zhiqiang¹²,Chen Qing³,Zhang Guoyin⁴

Affiliation:

1. Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing PR China

2. College of Resources and Environment University of Chinese Academy of Sciences Beijing PR China

3. College of Resources and Environmental Sciences China Agricultural University Beijing PR China

4. Hebei Academy of Agriculture and Forestry Sciences Institute of Agricultural Resources and Environment Shijiazhuang PR China

Funder

Agriculture Research System of China

National Natural Science Foundation of China

Publisher

Wiley

Subject

Soil Science,General Environmental Science,Development,Environmental Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ldr.4117

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3. Heavy metal accumulation and source analysis in greenhouse soils of Wuwei District, Gansu Province, China

4. Methods for estimating uncertainty in PMF solutions: Examples with ambient air and water quality data and guidance on reporting PMF results

5. Form distribution characteristics and influencing factors of Cd, Cr, Pb, As and Hg in farmland soil from the Shijiazhuang area, China;Cai K.;Earth and Environment,2014

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