旅游产业集聚对景区周边环境污染的影响研究  

Study on Impact of Tourism Industry Agglomeration on Environmental Pollution around Scenic Spots

作　　者：王浪 Wang Lang(School of Economics and Management,Xianyang Normal University,Xianyang 712000,China)

机构地区：[1]咸阳师范学院经济与管理学院,陕西咸阳712000

出　　处：《环境科学与管理》2023年第4期9-13,共5页Environmental Science and Management

摘　　要：为提高景区周边的建设与发展,提出旅游产业集聚对景区周边环境污染影响研究方法。采集景区周边的历史数据,分析近年来森林、海洋、山林以及城市等不同类型景区周边的污染情况,得到污染指标和详细数据。建立多层前馈神经网络预测模型,将污染和聚集指标作为初始输入的因变量和自变量值,计算污染和聚集性特征向量,推导得出二者间的既定关系矩阵,求解二者间正向和反向变化关系,通过多次迭代训练输出影响阈值。实验数据证明,近年来景区周边环境的水体、土壤以及空气均遵循旅游产业聚集越高、污染程度越严重的原则。In order to improve the construction and development of the surrounding area of the scenic spot,the research method of the impact of tourism industry agglomeration on the environmental pollution around the scenic spot is proposed.This study collects the historical data around the scenic spot to analyze the pollution around different types of scenic spots such as forests,oceans,mountain forests and cities in recent years and obtain pollution indicators and detailed data.A multi-layer feedforward neural network prediction model is established.The pollution and aggregation indexes are taken as the dependent and independent variables of the initial input.The pollution and aggregation characteristic vectors are calculated,while the established relationship matrix between them is derived.The forward and reverse change relationship between them is solved,and the influence threshold is output through multiple iterations.The experimental data proves that in recent years,the water,soil and air around the scenic spot follow the principle of the higher the concentration of tourism industry,the more serious the pollution.

关 键 词：旅游产业集聚 多层前馈神经网络 既定关系矩阵 特征向量 污染指标 

分 类 号：X32[环境科学与工程—环境工程]