大數據分析於環境規劃與管理之應用-指標建立、空品監測、地下水質分析

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Title:	大數據分析於環境規劃與管理之應用-指標建立、空品監測、地下水質分析
Other Titles:	Application of Big Data Analysis in Environmental Planning and Management – Indicator Construction, Air Quality Monitoring and Groundwater Quality Analysis
Authors:	莊硯勛 Chuang, Yen-Hsun
Contributors:	陳鶴文 Chen, Ho-Wen 環境科學與工程學系
Keywords:	永續發展;沿海濕地;網路層級分析法;指標架構;衝突解析;DPSIR;PM2.5;氣象感測器;物聯網;雲端運算;污染源貢獻量;河口揚塵;空間分析;多變量分析;地下水水質;冗餘分析 Sustainable developing;Coastal wetland;Indicator construction;Conflict resolution;DPSIR;PM2.5;Meteorological sensor;Internet of Things (IoTs);Cloud computing;Pollution sources contribution;Estuary dust;Spatial analysis;Multiple variable analysis;Groundwater quality;Redundancy analysis
Date:	2019
Issue Date:	2019-03-21T09:13:08Z (UTC)
Abstract:	因產業及經濟快速發展，當地自然環境因此遭受到破壞與污染，且當地環保機關不易找尋相對應環境策略。現今，大數據時代來臨，如何利用大數據分析技術了解環境問題及建立相對應策略或系統，以達到環境永續規劃與管理。因此，本研究將以大數據分析建置永續指標系統、空品監測與地下水水質分析，首先，本研究將利用DPSIR與網路層級分析法建置沿海地區之永續指標系統探討社會、經濟、環境三者間之衝突關係，並提供解決衝突之相對應策略；第二部分，利用物聯網技術與污染源追蹤技術探討河口裸露地的好發區位；第三部分，利用主成分分析、聚類分析與冗餘分析探討沿海地區工業區之環境參數與污染物層級關聯性分析。其結果發現，(1) 永續指標系統有效的生態保護取決於河流與棲地保護、污染控制、生態旅遊及整合社區永續政策之減緩行動；(2) 透過即時智慧可攜式環境監測裝置建立與污染源貢獻量的雲端運算系統可快速提供裸露地之好發區位給當地環保機關進行裸露地好發區域管理；(3) 沿海工業區的環境大多數已被鹽化，其中水文化學特徵的ORP、地下水水位與導電度對當地地下水污染物的生成有關鍵的影響。根據以上，大數據分析方法的整合性運用，可有效了解當地環境現況與建立相對應環境應變策略。 Due to the rapid development of industry and economy, natural environment was damaged and contaminated and it is not easy for local environmental agencies to find a corresponding environmental strategy. Nowadays, the big data era is already here, how to utilize big data analysis to realize environmental issue as well as establishing strategy or system. To obtain the aim of environmental sustainability planning and management, this study establish sustainable system indicators, air quality monitoring and underground water analysis by big data analysis. Firstly, this study establish sustainable indicators system to explore the conflict among society, environment and economy in coastal area by DPSIR and Analytic Network Process and provide strategies coping with conflict. Secondly, exploring area highly occurring pollution emission in river barren utilize Internet of Things technology and pollution source tracking technology. Thirdly, exploring the relation between environmental parameters and pollutant level take advantage of principal component analysis, cluster analysis and redundancy analysis. The results show that river and habitat protection, pollution control, ecotourism and mitigation actions of community sustainability policies are critical indicators which is effective for sustainable indicators system. Plus, it is providing rapidly that location highly occurring pollution emission in river barren to local environmental agency which conduct management strategies utilize on time portable environmental monitoring device and cloud computing system calculating pollution source contribution. Most of the environment in coastal industrial areas has been salinized, and the ORP, groundwater level and conductivity of hydrogeochemical characteristics have a critical impact on the formation of local groundwater pollutants. All of all, The integrated application of big data analysis methods effectively realize the situation of the local environment and establish a corresponding environmental response strategy.
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