This data integrates a variety of current natural geographic map data, and combines land suitability evaluation, crop growth model, scenario analysis and other methods to generate China's biomass resources and energy technology potential on a 1km grid scale from 2015 to 2100, with a temporal resolution of 5 years and a spatial resolution of 1km. The data set includes 3 categories and 11 types of biomass resources (the residues include dry land agricultural residues, paddy field agricultural residues, forest residues, shrub residues, orchard residues and grassland residues, the wastes include livestock manure, MSW and COD, and the energy crops include sweet sorghum and switchgrass), fully covering the types of biomass that can be used as resources. The data format is raster data (. tiff), which can be opened using ArcGIS, R/Python and other programming languages. Biomass is a dependent resource for negative carbon technology in China's carbon neutral technology system in the future. The biomass data developed in this research has three advantages: wide coverage (nationwide), fine spatial resolution (1km grid), and wide time span (2015-2100). It can provide detailed quantitative data for China to formulate low-carbon emission reduction strategies and deploy biomass energy technology strategies.
CAI Wenjia , NIE Yaoyu , WANG Rui
The current basic data set of major hydropower cascade development projects under construction and planning on the Qinghai Tibet Plateau (2020) includes hydropower stations completed, under construction and planned on the Qinghai Tibet Plateau in 2020. The current basic data set of major hydropower cascade development projects under construction and planning on the Qinghai Tibet Plateau (2020) includes the name of power station, river name, superior river name, construction location, installed capacity and annual power generation. The data is stored in Excel file in xlsx format and can be opened directly for use. The data is manually sorted and processed into tables, and one person enters and one person checks to ensure the data quality.
The data content includes: basin area, annual average discharge, total length of river, natural fall, utilization fall, theoretical reserves, technology developable installed capacity and annual power generation. Except for Southern Tibet and non data areas, the data of each basin are obtained by field measurement and analysis calculation. The data of southern Tibet and non data areas are obtained by using aster GDEM V2 and China Digital hydropower platform to analyze and calculate the basic information of rivers. All data are reviewed and identified by the General Institute of hydropower and water resources planning and design. Tibet's hydropower resources are the most important part of clean energy in Tibet and China, the most reliable energy for Tibet to support its economic and social development with clean energy system, and the focus of China's clean energy industry development in the future. The statistical data of hydropower resources submitted this time will provide the basis for the rational development and utilization of hydropower resources in Tibet and the positioning research in the national energy development strategy. The time of data analysis and statistics was 2017.
LIU Yan, LI Xuejun
1. The data content is the monthly groundwater level data measured between the tail of chengdina River, Kuqa Weigan River and Kashgar river of Tarim River, which is required to be the water level data of 30 wells, but the number of wells in this data reaches 44; 2. The data is translated into CSV through hobo interpretation, and the single bit time-lapse value is found through MATLAB, and then extracted and calculated through Excel screening, that is, through the interpretation of original data, through the communication Out of date and daily data, calculated monthly data; 3. Data is measured data, 2 decimal places are reserved, unit is meter, data is accurate; 4. Data can be applied to scientific research and develop groundwater level data for local health.
CHEN Yaning, HAO Xingming
"One belt, one road" along the lines of risk rating, credit risk rating and Moodie's national sovereignty rating reflects the structure of sovereign risk in every country. The rating of Moodie's national sovereignty is from the highest Aaa to the lowest C level, and there are twenty-one levels. Data source: organized by the author. Data quality is good. The rating level is divided into two parts, including investment level and speculation level. AAA level is the highest, which is the sovereign rating of excellent level. It means the highest credit quality and the lowest credit risk. The interest payment has sufficient guarantee and the principal is safe. The factors that guarantee the repayment of principal and interest are predictable even if they change. The distribution position is stable. C is the lowest rating, indicating that it cannot be used for real investment.
This database is based on the theory of emergy analysis for 17 typical countries along the “Belt and Road” during 2008-2014. These countries are include Kazakhstan, Kyrgyzstan, Tajikistan, Uzbekistan, Turkmenistan, Mongolia, Russia, Pakistan, Bangladesh, Afghanistan, Nepal, Thailand, Myanmar, Ukraine, Moldova, Belarus and Azerbaijan. The basic data sources of this database mainly include detailed information, goods and services on environmental resource flows, natural capital stocks and human production activities. The data in database is calculated and evaluated based on the solar emergy. The database consists of three tables, which are the emergy analysis table of main resource flow, comprehensive emergy analysis table of the main resource category and the system emergy indicators analysis table. The emergy transformities used in this database is updated and calculated according to the emergy baseline (12.0E+24seJ/y) given by Pro. Brown in 2016. Based on the basic data in the database, it can effectively calculate the emergy-based sustainability index system, and give the reasons for the analysis results, the solution and future planning direction for the study country. It is of great significance to the development of the national ecological economic system and provide a scientific basis for the government to improve the sustainable development status of the national ecological economic system.