RECCA Nagoya RECCA_MAPS_Nagoya DIAS en
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1 RECCA Nagoya IDENTIFICATION INFORMATION RECCA Nagoya 2050 Edition v0.1 Abbreviation Metadata Identifier 2. CONTACT RECCA_MAP_DIF 2.1 CONTACT on DATASET RECCA_MAPS_Nagoya DIAS en Address -west, 16-1 Onogawa, Tsukuba, Ibaraki, , JAPAN 2.2 CONTACT on PROJECT Data Integration and Analysis System DIAS Office Remote Sensing Technology Center of Japan Address TOKYU REIT Toranomon Building 2F Toranomon, Minato-ku, Tokyo, , Japan 3. DOCUMENT AUTHOR 4. DATASET CREATOR 1
2 5. DATE OF THIS DOCUMENT DATE OF DATASET creation : DATASET OVERVIEW 7.1 Abstract Nagoya city area, concentrated population near the railroad stations, difference between 2050s and 2000s, sub-scenario of tsunami, strong earthquake and liquefaction,version Topic Category(ISO19139) climatologymeteorologyatmosphere environment health society 7.3 Temporal Extent Begin Date End Date Geographic Bounding Box North latitude West longitude East longitude South latitude 7.5 Grid Dimension Dimension Size (slice number of the dimension) Resolution Unit row (second) column (second) 7.6 Geographic Description 2
3 7.7 Keywords Keywords on Dataset Keyword Type Keyword Keyword thesaurus theme Climate GEOSS place Asia, Eastern Asia, Japan No_Dictionary theme Human Dimensions > Habitat Conversion/Fragmentation > GCMD_science Urbanization/Urban Sprawl, Human Dimensions > Environmental Impacts, Human Dimensions > Public Health > Environmental Health Factors Keywords on Project Data Integration and Analysis System Keyword Type Keyword Keyword thesaurus theme DIAS > Data Integration and Analysis System No_Dictionary 7.8 Online Resource File Download : Data Environmental Information The datasets are graphic files with Joint Photographic Experts Group (JPEG). One file is approximately 4MB. The dataset name is Day-time_Items_Scenario (in Japanese). These figures are difference between 2050s and 2000s. There are five items: difference of monthly average for WBGT at 2 p.m. in August (unit: C), difference of monthly average for temperature at 2 p.m. in August, difference of monthly average for total number of the people who has difficulty going to sleep per a mesh in August, difference of monthly average for loss of life expectancy in year (summation in a mesh) due to heat stroke and difficulty going to sleep in August, and difference of monthly average for number of ambulance transportation due to heat stroke in August. The basic scenario for urban area is concentrated population within 800 m area from the railroad stations with highrise buildings. There are three sub-scenarios against the Tonankai Earthquake: countermeasure for tsunami, countermeasure for severe shock, and countermeasure for liquefaction. There are 15 figures in total Distribution Information name version specification JPEG β 8. DATA PROCESSING 3
4 8.1 Data Processing (1) General Explanation of the data producer's knowledge about the lineage of a dataset The data RECCA_AH0_Nagoya was used as basic anthropogenic heat to calculate that in 2050s. The rate for increase of population was multiplied to the basic anthropogenic heat on the grid points near the railroad stations. Saving energy rate was multiplied to all the grid points in entire area. The land use is different each other in the sub-scenarios against Tonankai Earthquake Data Source Data Source Citation Description of derived parameters and processing techniques used 9. DATA REMARKS The error was not evaluated in the present version. 10. USE CONSTRAINTS 10.1 Data Policy by Data Provider The data can be freely used; however, the present data is bete-version. Please acknowledge "RECCA_MAPS_Nagoyaβ" Data Policy for Project Data Integration and Analysis System The terms of data use of data providers take first priority over the DIAS data usage policy. In the event a data provider has not established terms of use, the following DIAS project data terms of use apply. 1. Users shall prioritize and abide by terms of use stipulated by a data provider in the event such exist 2. The use of DIAS data sets is limited to research and educational purposes [*1] 3. Users shall not modify the content of DIAS data sets 4. Users shall not provide the content of DIAS data sets to third parties 5. In the event of using DIAS data sets in an academic presentation, paper, article, or report, etc., users shall cite in parenthesis the text given as the data citation 6. In the event of using DIAS data sets in an academic presentation, paper, article, or report, etc., users shall submit a copy of the work (an offprint in the case of a paper, or a copy of the lecture summary in the case of an oral or poster presentation) to the DIAS office below [*1] Data sets whose commercial usage are allowed under the data policy by data provider will be also allowed to be used commercially as DIAS data sets, after ongoing preparation works have been completed. Please contact the DIAS Office for more details. [DIAS Office] 4
5 : Remote Sensing Technology Center of Japan TOKYU REIT Toranomon Building 2F Toranomon, Minato-ku, Tokyo, Disclaimer for Project Data Integration and Analysis System 1. DIAS data provider is not liable for any losses or any damage when DIAS data sets are used. 2. DIAS data and related information are subject to change without any prior notice. 3. DIAS data sets provided are not supported for any additional processing or analysis. 11 ACKNOWLEDGEMENT 11.1 Dataset Acknowledgement The RECCA_AH0_Nagoya on the Data Integration and Analysis System was used for Project Acknowledgement Data Integration and Analysis System Whenever DIAS dataset is used for any academic presentations, and any publication of scientific results, the author(s) shall specify the following acknowledgement and if the data provider has their own acknowledgement quotation, the author(s) shall use both acknowledgements. "The DIAS dataset is archived and provided under the framework of the Data Integration and Analysis System (DIAS) funded by Ministry of Education, Culture, Sports, Science and Technology (MEXT)." 12. REFERENCES The progress report of Research Program on Climate Change Adaptation in 2014 Copyright(c) Data Integration & Analysis System (DIAS) All Rights Reserved. This project is supported by "Data Integration & Analysis System" funded by MEXT, Japan 5
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