摘要
为了确定用于煤矿废弃地植被恢复的植物品种,根据土壤、气候各因素对植物生长的影响,采用相似算法,建立了煤矿废弃地植被恢复品种选择模型,该模型可以计算出两地土壤、气候的相似程度,并根据相似地区植被恢复的成功案例,确定用于植被恢复的植物适生品种集合.并以辽宁省阜新矿区为例,提出了适合当地煤矿废弃地土壤、气候的用于植被恢复的植物品种集合,结果表明本模型所采用的方法科学、合理.
To identify the proper plant species for revegetation of abandoned land contaminated from coal mining activities, factors such as soil quality, climate of the abandoned land were analyzed. Based on the analysis of factors impacted on the growth of plants, a Plant Species Selection Model (PSSM) is given, which is used to identify the plant species of revegetation for abandoned land from mining activities. Fu Xin mining area, in Liao Ning province in northeast China was selected as the case study area, some primary results were found and discussed in this paper.
出处
《系统工程理论与实践》
EI
CSCD
北大核心
2005年第8期140-144,共5页
Systems Engineering-Theory & Practice
基金
国际科技合作重点项目:矿业废弃地植被恢复决策支持系统研究(2003DF000004)
欧盟亚洲信息技术与通信项目:ApplicationofinformationtechnologiesforthesustainablemanagementofextractiveindustryactivitiesCN/AISA-IT&C/006(89870)
关键词
煤矿废弃地
植被恢复
品种选择
相似模型
revegetation
species selection
similarity model
coal mining
contaminated land