Climatic wave energy potential database for the Maritime Silk Road

Published: 31 January 2019| Version 1 | DOI: 10.17632/w6t47ssy5s.1
Contributor:
chongwei zheng

Description

This database is the analysis results of climatic wave energy potential in the waters of the Maritime Silk Road, hosted by the Marine Resources and Environment Research Group on the Maritime Silk Road. We aim to provide data support, scientific reference and decision making for wave energy development (such as wave power generation, seawater desalination, etc), in hope of making contribution to alleviating the resource crisis, protecting the marine ecology, improving the quality of life of the residents on the remote island, carrying out tourism and sightseeing, enhancing the living ability of remote islands and so on, thus to make positive contribution to the construction of Maritime Silk Road and the common prosperity of human society. When using this data, you must promise to quote the following two references when the article is published. Zheng C W (2019), “Climatic wave energy potential database for the Maritime Silk Road”. Mendeley Data, v1http://dx.doi.org/10.17632/w6t47ssy5s.1 Zheng C W, Li C Y, Wu H L, Wang M (2018). 21st Century Maritime Silk Road: Construction of Remote Islands and Reefs. Singapore: Springer. The information of this database is as follows, Parameters: wave power density (WPD, unit: kW/m), available level occurrence (ALO, occurrence of WPD greater than 2 kW/m, unit: %), rich level occurrence (RLO, occurrence of WPD greater than 20 kW/m, unit: %), coefficient of variation (Cv), energy storage (total storage and effective storage, unit: kW•h/m) Region: Maritime Silk Road (30-129.75°E, 30°S-30°N Spatial resolution: 0.75°×0.75° Data format: Binary Time resolution of WPD: February, May, August, November for multi-year average Time resolution of ALO: February, May, August, November for multi-year average Time resolution of RLO: February, May, August, November for multi-year average Time resolution of Cv: February, May, August, November for multi-year average Time resolution of storage: multi-year annual average for more than 30 years

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