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Environmental Big Data Applications in TaiwanEnvironmental Information

Environmental Big Data Applications in TaiwanEnvironmental Information」於資料集「MajorEnvironmentalPolicies」由單位「行政院環境保護署」的陳小姐所提供,聯繫電話是(02)23117722#2753,(02)23117722#2756,最近更新時間為:2023-07-30 01:03:45。 欄位編號的內容是3491 , 欄位標題的內容是Environmental Big Data Applications in Taiwan , 欄位摘要的內容是Environmental Information Environmental Big Data Applications in Taiwan Since 2010, the EPA has been building an environmental data exchange platform that integrates data from multiple government ministries and agencies to meet the demands for environmental information. To expand the application of environmental data, the EPA has incorporated the concept of big data and also established cloud computing capacity, as well as creating a real-time app service. Related technologies will continue to be updated to allow for increasingly advanced analyses of environmental data and to create new value-added applications for it. , 欄位全文的內容是Environmental Big Data Applications in Taiwan Since 2010, the EPA has been building an environmental data exchange platform that integrates data from multiple government ministries and agencies to meet the demands for environmental information. To expand the application of environmental data, the EPA has incorporated the concept of big data and also established cloud computing capacity, as well as creating a real-time app service. Related technologies will continue to be updated to allow for increasingly advanced analyses of environmental data and to create new value-added applications for it. Start of the Plan The purpose behind the Environmental Resources Database Integration Plan (or, the Environmental Cloud Plan) is to integrate data on the atmosphere, water, land, forests, and ecosystem from multiple ministries and government agencies in order to conduct internal analyses that are made available to government agencies, academic institutions, and the general public. This is part of a general drive to strengthen inter-ministerial exchanges and integration of data. The structure of environmental data is generally complex, involving many different categories. However, combining large volumes of data is very beneficial for enhancing data mining, uncovering relationships between sets of data, supporting environmental policymaking, and strengthening data analysis technology. The Environmental Cloud Plan originally began as the Environmental Resources Central Data Exchange (ERCDX or CDX), which was a unified platform for exchanges of environmental data. In 2010 and 2011 the EPA began interdepartmental exchanges of data on water quality monitoring and rainfall volumes. Since then the scope of environmental data exchanges has been continually expanded. Building on the CDX, the Environmental Resources Database was created, and with the introduction of cloud computing in 2013 the EPA established the Environmental Resources Database (ERDB) and the Environmental Open Data Platform. Both of these platforms continue to integrate data from the government agencies involved as well as providing data on land, disaster preparedness and response for the public, and value-added data for enterprises. As shown in the diagram, the next step in the evolution of the EPA’s Environmental Cloud Plan is the i-Environment network that aims to provide the public with data – real-time and historical – on their local and other environments so as to facilitate improved quality of life. The i-Environment will be an interactive system that encourages public participation and concern for the environment. For example, the information on listed pollution sources will be tailored to meet differing demands from the public. The system will also incorporate the concept and application of big data. Operation Process The applications for big data are extremely wide-ranging. Taking a model website designed to incorporate big data and environmental governance as an example, in terms of work flow and necessary resources, the model needs to include five main parts: 1. Collection: Combining data collected by central and local governments and expanding its depth and range. Such data would include automated monitoring data from effluent discharge outlets, smokestacks and air quality monitoring stations in special industrial parks, etc. 2. Storage: Digitizing the data for easier storage and facilitating machine-to-machine (M2M) reading of it. 3. Retrieval: Government agencies would be able to use CDX to share the stored data. 4. Analysis: Data analysis would continue to be advanced by technological improvement and capacity building. 5. Application: Providing data to aid decision-making and facilitating data-driven thinking. In this operation process, the EPA has been conducting lateral data integration in terms of compilation and unification, performing case analysis, and using software for vertical analysis according to the differing needs of each government agency. The EPA will continue to incorporate different categories of software – such as big data database platforms, statistics software and data visualization tools – for case analyses to provide suitable operational models. Achievements to Date 1. Establishing an Environmental Open Data Platform As a part of the government’s Open Data policy the EPA has disclosed information on 626 categories. The information has been viewed or downloaded at a rate of over 1.8 million hits per hour, and reused by more than 600,000 users. The platform successfully boosted information accessibility and the application of cloud computing to improve information services. Statistics show that from 2013 to October 2016 the information exchange system for central and local government agencies made available over seven million entries of information, in 2,000 categories. 2. An Advanced Real-time Environmental Information App The EPA’s free Real-time Environmental Information app is an example of open data in practice. Using dials and diagrams on their mobile device screens, members of the public can browse real-time and historical monitoring data and forecasts. The app also provides air quality data and an active warning service. It has been downloaded over 230,000 times, and the monthly hits it receives exceeds 1 million, making it a handy daily source of environmental information for users. The app’s innovative level of service has also won the Geospatial World Excellence Awards-2016 for Breathe Easy & Live Better Environmental Info Push App, given by the Geospatial World Forum (GWF) in Rotterdam, Holland. 3. Innovative Service from the Environmental Cloud The Environmental Cloud stores data on the atmosphere, water, forests, land, and other ecological data that has many value-added applications and greatly enhances Taiwan’s environmental governance capabilities. The app also won an “outstanding” award in the government services category at the 2016 Cloud Computing and Internet of Things Innovation Awards held by the Cloud Computing Association in Taiwan. The app was praised for its innovative way of integrating and sharing multidisciplinary data. At the awards ceremony on 4 November 2016, the award was presented to the EPA by Taiwan’s Vice President, Chen Chien-jen. Looking to the Future By making big data available to the public and creating new value-added applications, the EPA will continue to strive toward the following in the future: 1. Internal and external information integration and application 2. Information disclosure and sharing 3. Encouraging innovations in operations, management and infrastructure models, and gradually expanding the scope of environmental big data applications 4. Establishing an environmental big data management mechanism and a standardized system 5. Improving accuracy, consistency, and veracity of information 6. Strengthening operations management and information security The potential applications of big data in terms of the environment are both broad and deep. Big data could mean much more transparent information being disclosed to the public and will be even more important to the EPA for its internal policy and decision making. The EPA intends to make full use of big data technologies to conduct deep analyses of environmental data, and to continue creating value-added applications for it , 欄位年度的內容是2016 , 欄位月份的內容是11 , 欄位卷的內容是19 , 欄位期的內容是11 , 欄位順序的內容是 , 欄位倒序的內容是 , 欄位分類的內容是Environmental Information , 欄位標題2的內容是 , 欄位檔案位置的內容是V19/V19-11

編號

3491

標題

Environmental Big Data Applications in Taiwan

摘要

Environmental Information Environmental Big Data Applications in Taiwan Since 2010, the EPA has been building an environmental data exchange platform that integrates data from multiple government ministries and agencies to meet the demands for environmental information. To expand the application of environmental data, the EPA has incorporated the concept of big data and also established cloud computing capacity, as well as creating a real-time app service. Related technologies will continue to be updated to allow for increasingly advanced analyses of environmental data and to create new value-added applications for it.

全文

Environmental Big Data Applications in Taiwan Since 2010, the EPA has been building an environmental data exchange platform that integrates data from multiple government ministries and agencies to meet the demands for environmental information. To expand the application of environmental data, the EPA has incorporated the concept of big data and also established cloud computing capacity, as well as creating a real-time app service. Related technologies will continue to be updated to allow for increasingly advanced analyses of environmental data and to create new value-added applications for it. Start of the Plan The purpose behind the Environmental Resources Database Integration Plan (or, the Environmental Cloud Plan) is to integrate data on the atmosphere, water, land, forests, and ecosystem from multiple ministries and government agencies in order to conduct internal analyses that are made available to government agencies, academic institutions, and the general public. This is part of a general drive to strengthen inter-ministerial exchanges and integration of data. The structure of environmental data is generally complex, involving many different categories. However, combining large volumes of data is very beneficial for enhancing data mining, uncovering relationships between sets of data, supporting environmental policymaking, and strengthening data analysis technology. The Environmental Cloud Plan originally began as the Environmental Resources Central Data Exchange (ERCDX or CDX), which was a unified platform for exchanges of environmental data. In 2010 and 2011 the EPA began interdepartmental exchanges of data on water quality monitoring and rainfall volumes. Since then the scope of environmental data exchanges has been continually expanded. Building on the CDX, the Environmental Resources Database was created, and with the introduction of cloud computing in 2013 the EPA established the Environmental Resources Database (ERDB) and the Environmental Open Data Platform. Both of these platforms continue to integrate data from the government agencies involved as well as providing data on land, disaster preparedness and response for the public, and value-added data for enterprises. As shown in the diagram, the next step in the evolution of the EPA’s Environmental Cloud Plan is the i-Environment network that aims to provide the public with data – real-time and historical – on their local and other environments so as to facilitate improved quality of life. The i-Environment will be an interactive system that encourages public participation and concern for the environment. For example, the information on listed pollution sources will be tailored to meet differing demands from the public. The system will also incorporate the concept and application of big data. Operation Process The applications for big data are extremely wide-ranging. Taking a model website designed to incorporate big data and environmental governance as an example, in terms of work flow and necessary resources, the model needs to include five main parts: 1. Collection: Combining data collected by central and local governments and expanding its depth and range. Such data would include automated monitoring data from effluent discharge outlets, smokestacks and air quality monitoring stations in special industrial parks, etc. 2. Storage: Digitizing the data for easier storage and facilitating machine-to-machine (M2M) reading of it. 3. Retrieval: Government agencies would be able to use CDX to share the stored data. 4. Analysis: Data analysis would continue to be advanced by technological improvement and capacity building. 5. Application: Providing data to aid decision-making and facilitating data-driven thinking. In this operation process, the EPA has been conducting lateral data integration in terms of compilation and unification, performing case analysis, and using software for vertical analysis according to the differing needs of each government agency. The EPA will continue to incorporate different categories of software – such as big data database platforms, statistics software and data visualization tools – for case analyses to provide suitable operational models. Achievements to Date 1. Establishing an Environmental Open Data Platform As a part of the government’s Open Data policy the EPA has disclosed information on 626 categories. The information has been viewed or downloaded at a rate of over 1.8 million hits per hour, and reused by more than 600,000 users. The platform successfully boosted information accessibility and the application of cloud computing to improve information services. Statistics show that from 2013 to October 2016 the information exchange system for central and local government agencies made available over seven million entries of information, in 2,000 categories. 2. An Advanced Real-time Environmental Information App The EPA’s free Real-time Environmental Information app is an example of open data in practice. Using dials and diagrams on their mobile device screens, members of the public can browse real-time and historical monitoring data and forecasts. The app also provides air quality data and an active warning service. It has been downloaded over 230,000 times, and the monthly hits it receives exceeds 1 million, making it a handy daily source of environmental information for users. The app’s innovative level of service has also won the Geospatial World Excellence Awards-2016 for Breathe Easy & Live Better Environmental Info Push App, given by the Geospatial World Forum (GWF) in Rotterdam, Holland. 3. Innovative Service from the Environmental Cloud The Environmental Cloud stores data on the atmosphere, water, forests, land, and other ecological data that has many value-added applications and greatly enhances Taiwan’s environmental governance capabilities. The app also won an “outstanding” award in the government services category at the 2016 Cloud Computing and Internet of Things Innovation Awards held by the Cloud Computing Association in Taiwan. The app was praised for its innovative way of integrating and sharing multidisciplinary data. At the awards ceremony on 4 November 2016, the award was presented to the EPA by Taiwan’s Vice President, Chen Chien-jen. Looking to the Future By making big data available to the public and creating new value-added applications, the EPA will continue to strive toward the following in the future: 1. Internal and external information integration and application 2. Information disclosure and sharing 3. Encouraging innovations in operations, management and infrastructure models, and gradually expanding the scope of environmental big data applications 4. Establishing an environmental big data management mechanism and a standardized system 5. Improving accuracy, consistency, and veracity of information 6. Strengthening operations management and information security The potential applications of big data in terms of the environment are both broad and deep. Big data could mean much more transparent information being disclosed to the public and will be even more important to the EPA for its internal policy and decision making. The EPA intends to make full use of big data technologies to conduct deep analyses of environmental data, and to continue creating value-added applications for it

年度

2016

月份

11

19

11

順序

倒序

分類

Environmental Information

標題2

檔案位置

V19/V19-11

「Environmental Big Data Applications in TaiwanEnvironmental Information」所屬的資料集:「MajorEnvironmentalPolicies」的其他資料

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標題: Taiwan Keeps Striving to Reduce Carbon Despite Rankings by Global Performance Index
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全文: The 2020 EPI, a ranking index with international credibility, was released jointly by Yale Universit

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編號: 559
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