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作 者:邱璞 葛之刚 冯贵秀 Qiu Pu;Ge Zhigang;Feng Guixiu(Guilin University,Guilin 541006,China)
机构地区:[1]桂林学院,广西桂林541006
出 处:《环境科学与管理》2023年第8期116-120,共5页Environmental Science and Management
基 金:广西高校中青年教师科研基础能力提升项目(2021KY1578)。
摘 要:以桂林某村落为例,研究面向水体污染生态修复的园林景观植物布局策略。检测污染程度以及污染分布的空间特征。配置合适的园林景观植物,在总面积、生态服务价值、景观植物适应度约束条件下,通过粒子群算法求解布局模型的最优解。结果表明:5个检测点水体污染生态修复系数达到了优秀等级;10个检测点水体污染生态修复系数达到了良好等级;3个检测点水体污染生态修复系数达到了合格等级;区域整体污染修复系数在0.8~1.0之间,修复效果达到良好等级;没有检测点处于合格以下(不合格),证明了布局方案的合理性。Taking a village in Guilin as an example,the landscape plant layout strategy for ecological restoration of water pollution was studied.The paper detected the degree of pollution and the spatial characteristics of pollution distribution by allocating appropriate landscape plants,and solving the optimal solution of the layout model through particle swarm optimization algorithm under the constraints of total area,ecological service value,and fitness of landscape plants.The results showed that the ecological restoration coefficient of water pollution in the five detection points reached the excellent level.The ecological restoration coefficient of water pollution in 10 detection points reached a good level.The ecological restoration coefficient of water pollution in three detection points reached the qualified level.The overall pollution remediation coefficient of the region is between 0.8 and 1.0,and the remediation effect reaches a good level.No detection points are below qualified(unqualified),which proves the rationality of the layout plan.
关 键 词:水体污染生态修复 园林景观植物 水体污染分析 粒子群算法 布局策略
分 类 号:X171.4[环境科学与工程—环境科学]
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