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机构地区:[1]南京林业大学 [2]南京林业大学林木遗传与生物技术省部共建教育部重点实验室 [3]苏州大学金螳螂建筑与城市环境学院
出 处:《中国园林》2012年第6期85-89,共5页Chinese Landscape Architecture
基 金:林业公益性行业科研专项经费项目(编号201104010)资助
摘 要:当前园林建设中存在的盲目引种和不恰当的植物配置方式,造成植物生态适应性的降低和维护费用的增加,这也增加了碳排放量而使园林的固碳作用减弱,从而降低了园林在城市中的生态服务功能。为了有效地解决这一问题,促进节约型园林的建设,应在园林建设中优先选择那些生态适应性较强,维护费用较低的园林植物。本体系中建有按生态气候型查询模块和模糊综合评判模块。按生态气候型查询模块提供以城市为单位的属于相关生态气候型区域的植物查询,而模糊综合评判模块基于模糊数学原理,利用Visual C++6.0和SQLServer数据库混合编程技术开发出低维护园林植物优选体系,可以快速计算出植物的生态适应性指数、节约性指数及选择性指数。用户只需在Visual C++6.0开发的界面中输入相关数据,系统即会根据用户选择调用相关的存储过程进行模糊综合评判分析,并以表格形式给出分析结果,从而为低维护园林植物的筛选应用提供技术支撑。Aimless introduction of plants and inappropriate plants disposition lead to the decreasing of the ecological adaption ability and the increasing of maintenance costs.This increases carbon emissions relatively and reduces the carbon sequestration.So this lowers the ecological service function of the urban green space.To solve this problem effectively and promote resource-efficient landscape building,the low maintenance plants with high ecology adaption ability should be chosen.There are the query module by eco-climatic region and the fuzzy synthetic evaluation module in this system.It provides the query function of the plants in the eco-climatic region where the city belongs to.The fuzzy synthetic evaluation module based on fuzzy mathematics principles provides the selection system of low maintenance plants in urban green space.It can work out the ecological adaptation index,economy index and selection index quickly.The system was developed through the combinatorial programming technology of Visual C++ and SQL Server 2000.The user only inputs the relevant data in the user interface which is developed by C++ program language.The system can invoke relevant stored procedure to do the work of the fuzzy synthetic evaluation and give the analyses in tabular form.Thus the system can provide technical support for the selection of the low maintenance plants in urban green space.
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