Multiobjective Network Optimization for Soil Monitoring of the Loess Hilly Region in China
Joint Authors
Liu, Yaolin
Liu, Dianfeng
Wang, Mingze
Zhao, Xiang
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-06
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The soil monitoring network plays an important role in detecting the spatial distribution of soil attributes and facilitates sustainable land-use decision making.
Reduced costs, higher speed, greater scope, and a loss of accuracy are necessary to design a regional monitoring network effectively.
In this paper, we present a stochastic optimization design method for regional soil carbon and water content monitoring networks with a minimum sample size based on a modified particle swarm optimization algorithm equipped with multiobjective optimization technique.
Our effort is to reconcile the conflicts between various objectives, that is, kriging variance, survey budget, spatial accessibility, spatial interval, and the amount of monitoring sites.
We applied the method to optimize the soil monitoring networks in a semiarid loess hilly area located in northwest China.
The results reveal that the proposed method is both effective and robust and outperforms the standard binary particle swarm optimization and spatial simulated annealing algorithm.
American Psychological Association (APA)
Liu, Dianfeng& Liu, Yaolin& Wang, Mingze& Zhao, Xiang. 2014. Multiobjective Network Optimization for Soil Monitoring of the Loess Hilly Region in China. Discrete Dynamics in Nature and Society،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-499448
Modern Language Association (MLA)
Liu, Dianfeng…[et al.]. Multiobjective Network Optimization for Soil Monitoring of the Loess Hilly Region in China. Discrete Dynamics in Nature and Society No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-499448
American Medical Association (AMA)
Liu, Dianfeng& Liu, Yaolin& Wang, Mingze& Zhao, Xiang. Multiobjective Network Optimization for Soil Monitoring of the Loess Hilly Region in China. Discrete Dynamics in Nature and Society. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-499448
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-499448