Convex Localization Algorithm based on Time Difference of Arrival for WSN in Uranium Tailings Radioactive Contamination-Reference-Cited by-同舟云学术

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Convex Localization Algorithm based on Time Difference of Arrival for WSN in Uranium Tailings Radioactive Contamination

Published:2021-01-02 Issue:2 Volume:118 Page:999-1015
ISSN:0929-6212
Container-title:Wireless Personal Communications
language:en
Short-container-title:Wireless Pers Commun

Author:

YU Xiu-wu,HUANG Lu-ping,LIU Yong,YU Hao,LI Ying

Funder

National Natural Science Foundation of China

Hunan Province

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://link.springer.com/content/pdf/10.1007/s11277-020-08055-x.pdf

Reference33 articles.

1. Zhang, L., & Zhirong, L. (2018). Pollution characteristics and risk assessment of uranium and heavy metals of agricultural soil around the uranium tailing reservoir in Southern China. Journal of Radioanalytical & Nuclear Chemistry, 318(2), 923–933.

2. Ouyang, J., Liu, Z., Ye, T., et al. (2019). Uranium pollution status and speciation analysis in the farmland-rice system around a uranium tailing mine in southeastern China. Journal of Radioanalytical and Nuclear Chemistry, 322(2), 1011–1022.

3. Nassour, M., Weiske, A., Schaller, J., et al. (2015). Distribution and relationship of uranium and radium along an allochthonously dominated wetland gradient. Archives of Environmental Contamination & Toxicology, 68(2), 317–322.

4. Chopra, M., Rastogi, R., Kumar, A. V., et al. (2013). Response surface method coupled with first-order reliability method based methodology for groundwater flow and contaminant transport model for the uranium tailings pond site. Environmental modeling & assessment, 18(4), 439–450.

5. Singh, K. L., Sudhakar, G., Swaminathan, S. K., et al. (2015). Identification of elite native plants species for phytoaccumulation and remediation of major contaminants in uranium tailing ponds and its affected area. Environment, Development and Sustainability, 17(1), 57–81.

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