Identification of spatial distributions and uncertainties of multiple heavy metal concentrations by using spatial conditioned Latin Hypercube sampling-Reference-Cited by-同舟云学术

Identification of spatial distributions and uncertainties of multiple heavy metal concentrations by using spatial conditioned Latin Hypercube sampling

Published:2014-10 Issue: Volume:230-231 Page:9-21
ISSN:0016-7061
Container-title:Geoderma
language:en
Short-container-title:Geoderma

Author:

Lin Yu-Pin,Lin Wei-Chih,Li Meng-Ying,Chen Yen-Yu,Chiang Li-Chi,Wang Yung-Chieh

Publisher

Elsevier BV

Subject

Soil Science

Reference46 articles.

1. Role of assisted natural remediation in environmental cleanup;Adriano;Geoderma,2004

2. Conditioned Latin hypercube sampling: optimal sample size for digital soil mapping of arid rangelands in Utah, USA;Brungard,2010

3. Field Sampling Methods for Remedial Investigations;Byrnes,2008

4. Estimation and potential improvement of the quality of legacy soil samples for digital soil mapping;Carré;Geoderma,2007

5. Delineating the hazard zone of multiple soil pollutants by multivariate indicator kriging and conditioned Latin hypercube sampling;Chu;Geoderma,2010

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimization of the sampling design for multiobjective soil mapping using the multiple path SSA (MP-SSA) method;CATENA;2022-10

2. Performance analysis of two-stage thermoelectric generator model based on Latin hypercube sampling;Energy Conversion and Management;2020-10

3. Real-Time Identification of Irrigation Water Pollution Sources and Pathways with a Wireless Sensor Network and Blockchain Framework;Sensors;2020-06-28

4. Identification of the sources and influencing factors of potentially toxic elements accumulation in the soil from a typical karst region in Guangxi, Southwest China;Environmental Pollution;2020-01

5. PMF receptor models and sequential Gaussian simulation to determine the quantitative sources and hazardous areas of potentially toxic elements in soils;Geoderma;2019-11