岩石风化碳汇遥感估算及其时空变化分析  

Estimation of the carbon sink of rock weathering by remote sensing and analysis of its spatiotemporal variations

作　　者：张宇 罗为群[1,2] 刘美玲 李梦琦[4] 张莉 陈芳芳 张扬岑 陈蕊 ZHANG Yu;LUO Weiqun;LIU Meiling;LI Mengqi;ZHANG Li;CHEN Fangfang;ZHANG Yangcen;CHEN Rui(Institute of Karst Geology,CAGS/Key Laboratory of Karst Ecosystem and Treatment of Rocky Desertification,Ministry of Natural Resources,Guilin,Guangxi 541004,China;Pingguo Guangxi,Karst Ecosytem,National Observation and Research Station/Pingguo Baise,Karst Ecosystem,Guangxi Observation and Research Station,Pingguo,Guangxi 531406,China;Piesat Information Technology Co.,Ltd.,Beijing 100195,China;School of Information Engineering,China University of Geosciences(Beijing),Beijing 10083,China;Henan No.1 Geological Exploration Institute Co.,Ltd.Henan 450001,China;School of Design,Shanghai Jiao Tong University,Shanghai 200240,China)

机构地区：[1]中国地质科学院岩溶地质研究所/自然资源部岩溶生态系统与石漠化治理重点实验室,广西桂林541004 [2]广西平果喀斯特生态系统国家野外科学观测研究站/百色平果喀斯特生态系统广西野外科学观测研究站,广西平果531406 [3]航天宏图信息技术股份有限公司,北京100195 [4]中国地质大学(北京)信息工程学院,北京100083 [5]河南省第一地质勘查院有限公司,河南郑州450001 [6]上海交通大学设计学院,上海200240

出　　处：《中国岩溶》2024年第4期727-741,共15页Carsologica Sinica

基　　金：国家重点研发课题(2022YFF1300702);中国地质调查局项目(DD20221820);广西岩溶动力学重大科技创新基地开放课题(KBL202103)。

摘　　要：岩石风化过程吸收的CO_(2)是全球碳循环“遗漏汇”中的一部分,岩石风化碳汇估算对掌握区域与全球碳汇效应及与全球气候变化的关系具有重要意义。文章选取贵州省作为实验区域,以20年作为时间跨度,收集了气象、岩性等数据,首先借助动态时间规整方法选取了岩石风化碳汇的影响因子,然后利用GEM-CO_(2)模型进行岩溶碳汇量的估算,最后运用Mann-Kendall趋势法和统计法揭示实验区域的2001-2020年岩溶碳汇时空演变规律。结果表明:(1)影响岩石风化速度、消耗CO_(2)量的主要因素为岩石类别,其次为年均降水量,温度对于CO_(2)消耗的响应具有滞后性;(2)贵州省岩石风化消耗CO_(2)量较多的地区主要在黔东北、黔西南、黔南以及黔东南部分地区,消耗CO_(2)较少的地区主要分布在黔西北地区;(3)20年间,贵州省年均岩溶碳汇量大约在0~1.04×10^(3)t C·km^(-2)·a^(-1)之间,呈波动上升的趋势。基于遥感数据的全球或区域尺度碳汇估算为碳源/汇时空变化分析提供了基础数据,为当地碳汇交易、环境政策的制定提供参考。As a type of natural carbon sink,rock weathering plays a critical role in the global carbon cycle by storing atmospheric carbon dioxide(CO_(2)).This process is particularly significant in mitigating climate change,although its contributions are often underestimated or overlooked in broader carbon calculation practices.The present study focuses on Guizhou Province,China,a region that is characterized by extensive karst landforms.These landforms are of particular interest because they are highly effective in capturing atmospheric CO_(2) through rock weathering.This study aims to explore the spatiotemporal dynamics of the carbon sink of rock weathering from 2001 to 2020.This study integrates various data sources,including remote sensing data,meteorological records,and lithological information,to estimate the carbon sink capacity with the GEM-CO_(2) model.This study also employs advanced analytical techniques such as Dynamic Time Warping(DTW)and statistical methods to analyze the spatiotemporal evolution of carbon sink.The findings of this study reveal that the rock type is a primary factor influencing the rate of rock weathering and CO_(2) consumption,followed closely by annual precipitation.The temperature also plays a significant role,although the responses of its effects are observed to be lagged.This indicates that changes in temperature may affect CO_(2) absorption rates several years after the initial temperature fluctuation occurred.This study identifies that the regions with the highest CO_(2) consumption through rock weathering are predominantly concentrated in the northeastern,southwestern,southern,and southeastern parts of Guizhou Province.These areas are characterized by widespread formations of carbonate rocks and higher precipitation levels,which can jointly enhance the weathering process and increase carbon sequestration.In contrast,the northwestern regions,which are dominated by silicate rocks and receive lower levels of precipitation,exhibit the lowest levels of CO_(2) consumption.This discrepancy u

关 键 词：岩溶碳汇 DTW GEM-CO_(2)模型 Mann-Kendall趋势检验 

分 类 号：X141[环境科学与工程—环境科学]