摘要
针对高寒和干旱极端生态环境水循环变化对国家生态安全的重要性,需要开展水循环关键参量监测设备与技术研究。本文重点围绕水循环关键参量野外原位/移动/非接触式、自动、稳定监测等技术难点,开展了一系列监测生态系统水-土-气-冰-雪的关键参量的新技术设备研究。通过构建基于物联网的天地一体化生态系统监测体系,打破行业技术壁垒,促进工程技术、地质学、计算机科学等不同领域的跨学科合作,共同开展极端生态环境水循环关键参量监测技术研究与创新,并将实现对重要生态功能区的大范围、全天候、立体化监测,对推进我国生态文明建设具有重要支撑作用,促进并实现我国生态监测技术的综合应用和发展。
Given the critical importance of water cycle variations in extreme ecological environments such as high⁃altitude and arid regions to national ecological security,there is a pressing need to research on monitoring devices and technologies for key parameters of water cycle.This paper focuses on technical challenges associated with field in⁃situ/mobile/non⁃contact,automatic and stable monitoring of key parameters encompassing water cycle.A series of studies have been conducted to explore new technological devices for monitoring these key parameters of soil,air,ice,and snow in ecological systems.By establishing an integrated monitoring system for ecosystems based on the Internet of Things(IoT),the industry technological barriers are hope to be broken through,and the interdisciplinary collaboration across fields including engineering,geology,and computer science can be fostered.Through collaborative efforts in researching and innovating key parameter monitoring technologies for the water cycle in extreme ecological environments,extensive,all⁃weather and three⁃dimensional monitoring of critical ecological functional areas will be achieved.This endeavor will hold significant importance in advancing China’s ecological civilization construction and promoting the comprehensive application and development of ecological monitoring technologies in the country.
作者
刘勇
周策
赵远刚
张佳佳
周娟
LIU Yong;ZHOU Ce;ZHAO Yuangang;ZHANG Jiajia;ZHOU Juan(Institute of Exploration Technology,CAGS,Chengdu Sichuan 611734,China)
出处
《钻探工程》
2024年第3期20-26,共7页
Drilling Engineering
基金
第二次青藏高原综合科学考察研究(编号:2019QZKK0902)
中国地质调查局地质调查项目“长江流域上游水文地质与水资源调查监测”(编号:DD20221757),“银额盆地西部-北山盆地群油气地质调查”(编号:DD20190093)。
关键词
冻土含冰量
冰川厚度
雪水当量
干旱环境蒸散发
径流量
地下水位
ice content in frozen soil
glacier thickness
snow water equivalent
evapotranspiration in arid environments
runoff volume
groundwater level
