风化作用
环境科学
土壤科学
固碳
稀释
原材料
土壤生产函数
二氧化碳
矿物学
地质学
土壤水分
化学
物理
有机化学
地貌学
热力学
成土作用
作者
Tom Reershemius,Mike Kelland,Jacob S. Jordan,Isabelle R. Davis,Rocco D’Ascanio,Boriana Kalderon-Asael,Dan Asael,Tim Jesper Suhrhoff,Dimitar Z. Epihov,David J. Beerling,Christopher T. Reinhard,Noah J. Planavsky
标识
DOI:10.1021/acs.est.3c03609
摘要
Enhanced rock weathering (ERW) is a promising scalable and cost-effective carbon dioxide removal (CDR) strategy with significant environmental and agronomic co-benefits. A major barrier to large-scale implementation of ERW is a robust monitoring, reporting, and verification (MRV) framework. To successfully quantify the amount of carbon dioxide removed by ERW, MRV must be accurate, precise, and cost-effective. Here, we outline a mass-balance-based method in which analysis of the chemical composition of soil samples is used to track in situ silicate rock weathering. We show that signal-to-noise issues of in situ soil analysis can be mitigated by using isotope-dilution mass spectrometry to reduce analytical error. We implement a proof-of-concept experiment demonstrating the method in controlled mesocosms. In our experiment, a basalt rock feedstock is added to soil columns containing the cereal crop Sorghum bicolor at a rate equivalent to 50 t ha–1. Using our approach, we calculate rock weathering corresponding to an average initial CDR value of 1.44 ± 0.27 tCO2eq ha–1 from our experiments after 235 days, within error of an independent estimate calculated using conventional elemental budgeting of reaction products. Our method provides a robust time-integrated estimate of initial CDR, to feed into models that track and validate large-scale carbon removal through ERW.
科研通智能强力驱动
Strongly Powered by AbleSci AI