空间信息技术在二氧化碳封存监测中的应用和前景

IF 7 Q1 ENERGY & FUELS
Weifeng LYU , Yushu LI , Mingyuan WANG , Qianguo LIN , Ninghong JIA , Zemin JI , Chang HE
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引用次数: 0

摘要

本文系统回顾了当前各种空间信息技术在二氧化碳封存监测中的应用,分析了空间信息技术在二氧化碳封存监测中面临的挑战,展望了空间信息技术在二氧化碳封存监测中的发展前景。目前,应用于二氧化碳封存监测的空间信息技术主要包括五大类:涡度协方差法、遥感技术、地理信息系统、物联网技术和全球卫星导航系统。这些技术涉及监测数据采集、定位与数据传输、数据管理与决策支持三个方面。空间信息技术在二氧化碳封存监测中面临的挑战包括:选择与不同监测目的、不同平台、不同监测点相匹配的空间信息技术;建立有效的数据存储和计算能力,以应对来源广泛、数量庞大的监测数据;通过空间信息技术与成熟监测技术的交互和验证,促进协同作业。未来,有必要建立空间信息技术监测方案设计方法和标准,开发跨尺度监测技术的协同应用方法,将空间信息技术与人工智能、高性能计算等技术相结合,加快空间信息技术在中国碳封存项目中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application and prospects of spatial information technology in CO2 sequestration monitoring

This paper systematically reviews the current applications of various spatial information technologies in CO2 sequestration monitoring, analyzes the challenges faced by spatial information technologies in CO2 sequestration monitoring, and prospects the development of spatial information technologies in CO2 sequestration monitoring. Currently, the spatial information technologies applied in CO2 sequestration monitoring mainly include five categories: eddy covariance method, remote sensing technology, geographic information system, Internet of Things technology, and global navigation satellite system. These technologies are involved in three aspects: monitoring data acquisition, positioning and data transmission, and data management and decision support. Challenges faced by the spatial information technologies in CO2 sequestration monitoring include: selecting spatial information technologies that match different monitoring purposes, different platforms, and different monitoring sites; establishing effective data storage and computing capabilities to cope with the broad sources and large volumes of monitoring data; and promoting collaborative operations by interacting and validating spatial information technologies with mature monitoring technologies. In the future, it is necessary to establish methods and standards for designing spatial information technology monitoring schemes, develop collaborative application methods for cross-scale monitoring technologies, integrate spatial information technologies with artificial intelligence and high-performance computing technologies, and accelerate the application of spatial information technologies in carbon sequestration projects in China.

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CiteScore
11.50
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