The Level of Cultivated Land Security Risk in China Based on the PNN Network
Currently, cultivated land areas throughout China are differentially susceptible to a variety of natural hazards, social risks, and economic challenges. A risk evaluation model is developed in order to capture the degree of risk to the quality of cultivated land and cultivated land areas in China. Based on the Probabilistic Neural Network (PNN), the model seeks to provide insights/recommendations on the use of cultivated land in China, by employing a set of environmental indicators. Threshold risk levels are established in order to reduce the vulnerability of cultivated lands. Five cultivated land area risk categories are defined. It is shown that more resources should be dedicated to protecting the environment and cultivated land areas in China. By reducing the risk of natural hazards and socioeconomic pressures, it is expected that the quality of cultivated land in China can be improved. Finally, regions primarily dedicated to food production should be given additional protection from natural and anthropogenic risks.
Thesecurityofcultivatedland:indicatorthreshold risklevel:PNNnetwork
Chunhua Li Ning Li Nawei Wang Jason Levy
State key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Aca College of science, Central South University of Forestry and Technology, Changsha 410004 Applied Disaster and Emergency Studies, Brandon University, Manitoba, (204)727-7386, Canada
国际会议
广州
英文
1-5
2011-05-13（万方平台首次上网日期，不代表论文的发表时间）