中国生物质资源及能源技术潜力空间分布数据集（2015-2100）

本数据集成了多种现状自然地理图数据，结合土地适宜性评价、作物生长模型和情景分析等方法，生成了2015-2100年1km网格尺度下中国生物质资源及能源技术潜力，时间分辨率为5年，空间分辨率为1km。该数据集包括了3大类11种生物质资源类型（剩余物有旱地农业剩余物、水田农业剩余物、森林剩余物、灌丛剩余物、果园剩余物和草地剩余物6种，废弃物有禽畜粪便、MSW和COD 3种，能源作物有甜高粱和柳枝稷2种），全面覆盖了可资源化利用的生物质类型。数据格式为栅格数据（.tiff），可用ArcGIS及R/Python等编程语言打开。

生物质是未来中国实现碳中和技术体系中负碳技术的依赖性资源，本研究开发的生物质数据同时具备覆盖范围广（全国）、空间分辨精细（1km网格）、时间跨度广（2015-2100年）三大优点，能够为我国制定低碳减排战略及部署生物质能源技术策略提供详细的支撑定量数据。

This dataset integrates multiple sets of current physical geographic map data, and combines methods such as land suitability assessment, crop growth models and scenario analysis to generate the biomass resources and energy technology potential in China at a 1-kilometer grid scale from 2015 to 2100, with a temporal resolution of 5 years and a spatial resolution of 1 km. It covers 11 types of biomass resources under 3 major categories: 6 types of residues including dryland agricultural residues, paddy agricultural residues, forest residues, shrub residues, orchard residues and grassland residues; 3 types of wastes including livestock and poultry manure, MSW and COD; and 2 types of energy crops including sweet sorghum and switchgrass, comprehensively covering all recyclable biomass types. The data is stored in raster format (.TIFF), and can be opened with ArcGIS, R, Python and other programming languages. Biomass is an indispensable resource for negative carbon technologies in China's future carbon neutrality technology system. The biomass dataset developed in this study has three major advantages: wide national coverage, high spatial resolution (1-kilometer grid), and long time span (2015-2100). It can provide detailed supporting quantitative data for China to formulate low-carbon emission reduction strategies and deploy biomass energy technology strategies.

搜集汇总

背景与挑战

背景概述

该数据集提供了2015-2100年中国生物质资源及能源技术潜力的空间分布，时间分辨率为5年，空间分辨率为1km，包含3大类11种生物质资源类型。数据集具有覆盖范围广、空间分辨精细和时间跨度大的特点，适用于低碳减排战略和生物质能源技术策略的制定。