太阳成8722(中国)有限公司-GREEN NO.1

标题：Multiobjective Network Optimization for Soil Monitoring of the Loess Hilly Region in China作者：Liu, Dianfeng; Liu, Yaolin; Wang, Mingze; Zhao, Xiang

来源出版物：DISCRETE DYNAMICS IN NATURE AND SOCIETY文献号：805175 DOI：10.1155/2014/805175 出版年：2014

摘要：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.

入藏号：WOS:000339193400001

文献类型：Article

语种：English

扩展关键词：SPATIAL SAMPLING DESIGN; ORGANIC-CARBON; VARIABLES

通讯作者地址：Liu, Dianfeng; Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430072, Peoples R China.

电子邮件地址：liudianfeng@whu.edu.cn

地址：

[Liu, Dianfeng; Liu, Yaolin; Wang, Mingze; Zhao, Xiang] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430072, Peoples R China.

[Liu, Dianfeng; Liu, Yaolin] Wuhan Univ, Minist Educ, Key Lab Geog Informat Syst, Wuhan 430072, Peoples R China.

研究方向：Mathematics; Science & Technology - Other Topics

ISSN：1026-0226

E-ISSN：1607-887X