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Disaster Risk Reduction Knowledge Service ( DRR )

Scientific Data (科学数据)

Monthly total precipitation monitoring data set for The Belt and Road(1989-2018)(“一带一路”月降水总量监测数据集(1989—2018))

Introduction: The data set is calculated and interpolated by weather station data. The meteorological site data comes from NOAA, which includes data such as temperature, wind speed, and precipitation. The research team processes the daily weather station data into monthly data, and then interpolates through Kriging to form raster data covering the entire study area.

Source: Disaster Risk Reduction Knowledge Service

Release date: Jun. 2020

Provided by: Yuan Yuelei

Desertification distribution data set along the China-Mongolia Railway (Mongolia section) (中蒙铁路沿线(蒙古段)荒漠化分布数据集)

Introduction: This dataset described the Spatio-temporal Distribution of Desertification Disaster along the China-Mongolia railway (Mongolia section) in 2010, which mainly record the degree of desertification, and spatiotemporal distribution information. They were collected and organized by the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences. This dataset was composed of 2 vector files. It can be used in the study of desertification. And it can provide important basis for monitoring and prevention of desertification disaster. 

Source: Disaster Risk Reduction Knowledge Service

Release date: Oct. 2020

Provided by: Yuan Yuelei

Knowledge application (知识应用)

Historical meteorological space mapping in the Belt and Road(“一带一路”地区历史气象空间制图)

Introduction: Meteorological disasters occur frequently in the Belt and Road region. 7 countries, in total of 10 most seriously meteorological disasters countries in the world, are in the belt and road region. It is of great significance for studying meteorological disaster events and reducing disaster risk to know the historical meteorological conditions and the spatial and temporal distribution rules of meteorological indexes such as temperature and precipitation of this region. This knowledge application is based on the integration, extraction and mapping of the WorldClim historical meteorological data, which reflects the three indicators of monthly maximum and minimum temperature and monthly total precipitation in One Belt and One Road region in January, April, July and October 2018. For users, it is of great significance to understand the basic meteorological law of the region and the service of meteorological disaster prevention.

Source: Disaster Risk Reduction Knowledge Service

Release date: Sep. 2020

Provided by: Yuan Yuelei

Video (视频课件)

Capacity of Space Technology in Disaster Management(空间技术在灾害管理方面的能力)

Introduction: This courseware analyzes the key requirements of early warning technology in the assessment of risks and losses of major disasters such as earthquakes, floods, and emergencies, according to the actual needs of disaster prevention and reduction. Combined with case studies of major natural disasters at home and abroad, it introduces the procedures and regulations of disaster remote sensing monitoring, as well as the application products of remote sensing technology in the fields of disaster feature parameter extraction, disaster risk monitoring, and disaster monitoring.

Source: Disaster Risk Reduction Knowledge Service

Release date: 2016

Provided by: Yuan Yuelei

The drought monitoring study based on remote sensing for the Silk Road Economic Belt(基于遥感的丝绸之路经济带干旱监测研究)

Introduction: The Silk Road Economic Belt area is considered to be one of the typical ecologically fragile areas. In recent years, with global climate change, surface vegetation, ecosystems, water environment, growth of animals and plants have been affected to some extent. And the feedback effect of global climate change in the region is also obvious. Many researchers have paid attention to this and conducted a lot of research. With the development of remote sensing technology, regional drought monitoring research has been carried out. This has important guiding significance for changes in regional ecosystems, soil environment and surface vegetation. This research will focus on regional drought remote sensing monitoring methods that has been carried out in the Silk Road Economic Belt area.

Source: Disaster Risk Reduction Knowledge Service

Release date: 2017

Provided by: Yuan Yuelei

Intelligent City Knowledge Service (ICITY)

Scientific Data (科学数据)

Global COVID-19 Status(全球新冠肺炎疫情数据)

Introduction: The COVID-19 data column shows the statistics of confirmed, cured and death cases in each country under the novel coronavirus pneumonia epidemic situation from January 23rd. Users can also query the cure rate, mortality rate and the daily growth rate of confirmed, cured and death cases in the countries raged by the disaster worldwide.

Source: Intelligent City Knowledge Service

Release date: Dec. 2020

Provided by: CAO Buyang

Video (视频课件)

Artificial Intelligence and Applications(人工智能及其应用)

Introduction: Prof. Otthein Herzog, academician of German Academy of Engineering and member of German Computer Association. Since 2015, he has been invited to serve as visiting professor of Tongji University Yangtze River Delta Urban Agglomeration Intelligent Planning Collaborative Innovation Center. In 2019, he was rated as "the top ten most influential figures in the history of artificial intelligence in Germany" by the Federal Ministry of education and research. At present, he is also a member of the Shanghai Artificial Intelligence Strategy Advisory Expert Committee and the UNESCO International Engineering Science and Technology Knowledge Center Advisory Committee.

Source: Intelligent City Knowledge Service

Release date: Nov. 2020

Provided by: LI Xiang

Data Analytics and Its Applications in Smart Cities(智慧城市数据分析与应用)

Introduction: Professor Buyang Cao is a professor and Ph.D student supervisor at College of Architecture and Urban Planning, Tongji University. Professor Cao possesses multi-year experiences in problem analysis, algorithm design/development, software engineering project management, etc. He was awarded by INFORMS (Institute for Operations and Management Science) due to excellence in applying optimization techniques for solving complicated decision support problems from the real world. Numerous research papers by professor Cao appeared in some top-tier international journals. Currently, his research is focusing on applying big data, data analytical, and algorithm development technologies to the problems from Smart City and Logistics arenas.

Source: Intelligent City Knowledge Service

Release date: Nov. 2020

Provided by: LI Xiang

Silk Road Sciences and Technology Knowledge Service ( SRST )

Scientific Data (科学数据)

World Development Indicators-Bahrain(世界发展指标-巴林王国)

Introduction: It contains 55 data items from China with data spanning 50 years (1968-2017) and visual display of data, including line, bar, scatter, and pie charts of indicators. It provides all information export functions. It supports Chinese, English, Russian and Arabic language download.

Source: Silk Road Sciences and Technology Knowledge Service

Release date: Dec. 2020

Provided by: Dong Yang

Knowledge application (知识应用)

The World Rank of Estonia University(“一带一路”高校排名-爱沙尼亚)

Introduction: A knowledge application for comprehensive display and inquiry of Estonia University is built to comprehensively display four internationally recognized world university rankings, such as QS, THE, US News and soft science world university rankings, so as to facilitate engineering and scientific personnel from countries along the " Belt And Road" to recruit students and choose schools in countries along the " Belt And Road".

Source: Silk Road Sciences and Technology Knowledge Service

Release date: Dec. 2020

Provided by: Zhang Qianglong

Video (视频课件)

React.js: Super-fast Single Page Web Applications(React.js公司:超快速单页Web应用程序)

Introduction: React.js is a view library from Facecbook for building performant user-interfaces in JavaScript. In this session, we'll explore React.js and understand why it's a great step forward for building complex UI's that run fast. We'll code up an example web application using React.js and step through the basics of using the library while discussing concepts like the shadow DOM and components.

Source: Silk Road Sciences and Technology Knowledge Service

Release date: Dec. 2020

Provided by: Liu Jun

IKCEST General Platform

Knowledge application (知识应用)

Winners Announced for "Global High-Quality Engineering Project Collection" Activity("全球优质工程案例征集"活动获奖名单公布)

Introduction: Human beings have experienced different times from thatched cottages to high-rise buildings, from dirt roads to expressways, and from carriages to airplanes. It is these engineering projects that witnessed the development of human civilization. Nowadays, numerous miracles created by human beings are all over the world. After 73 days of collection, the first phase of the Global High-Quality Engineering Project Collection Activity held by IKCEST has come to an end. Taking engineering projects as the theme, the activity has altogether collected 238 engineering projects from users across the world. After evaluation by professional judges, a total of 7 excellent engineering projects have stood out to become the winners of this year. Currently, the winner list has been released on the IKCEST platform for you to check whether you have won an award. If you have missed the first phase, don’t worry. The second phase of the activity is still underway. We look forward to your participation!

Source: IKCEST General Platform

Release date: Dec. 2020

Provided by: Zhou Fan

Winners Announced for "Unveil the Beauty of the Silk Road" Activity("寻找丝路之美"活动获奖名单公布)

Introduction: For thousands of years the wind blew, on thousands of kilometers camel bells rang. The Silk Road extends across breath-taking scenery, representing glory rarely known by the rest of the world. Taking unveiling the beauty of the Silk Road as the theme, the original content collection activity previously held by IKCEST has altogether collected 210 pieces of articles on countries along the Belt and Road from users across the world after 73 days of collection. After two rounds of selection by experts, 3 three excellent articles on countries along the Belt and Road were selected to be winners of this year. The award results have been published on the IKCEST platform. You can click on the column of Unveil the Beauty of the Silk Road to check whether you have won an award. So far, the first phase of Unveil the Beauty of the Silk Road held by IKCEST has come to an end. If you have missed the first phase, don’t worry. The second phase of the activity is well underway. We look forward to your participation!

Source: IKCEST General Platform

Release date: Dec. 2020

Provided by: Zhou Fan

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