Infering influx rates of sedimentary constituents from varved sediments to improve paleoclimate reconstructions

推断来自变化沉积物的沉积成分的流入速率以改善古气候重建

• 批准号: RGPIN-2014-05810
• 负责人: Francus, Pierre
• 金额: $ 3.13万
• 依托单位: Institut national de la recherche scientifique
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=651068
• 关键词: Infering; influx; rates; sedimentary; constituents

This project aims at multiplying, extending and refining climatic and hydrologic reconstructions from sites in the Canadian High Arctic and from the Boreal Forest with annual resolution. Annually laminated (or varved) lake sediment records from a moisture-sensitive site and a temperature-sensitive site will be investigated in the Canadian High Arctic. In the Boreal Forest, this project will develop the first annually resolved paleoclimate sedimentary records from that area. To develop these records, new protocols using a combination of CT-scans, micro-X-Ray fluorescence and image analysis of sediment cores will be used to characterize the absolute density with an annual resolution. This enables to calculate influx rates of sedimentary constituents that can be used to improve statistical inferences models linking sediment properties to climate parameters. Moreover, hydroclimatic deterministic models coupled with a sediment delivery module will be implemented to predict a "varve" and influx rates values are needed to calibrate model discharge and sediment load. This new concept called "forward modeling" or modeling of the climate indicators contained in natural archives, will be tested in the laboratory and in two of our natural sites in the field. Forward modeling will improve predictions of river discharge in a warming climate and extreme events, a topic of interest for the governmental agencies and the hydropower industry. Obtaining density from CT-scans will have direct applications for archaeology (internal structure of metal pieces), metallogeny (alloys 3D structure), geological engineering (geological hazards), construction (concrete strength and alteration). This program will contribute to the training of 4 MSc, 4 PhD and 5 undergraduate students in sedimentology, climate change and instrumentation technology.

该项目的目的是增加、扩大和完善加拿大北极高纬度地区和北方森林的气候和水文重建，并提供年度分辨率。将在加拿大北极高纬度地区调查一个湿度敏感地点和一个温度敏感地点的年度层状（或纹状）湖泊沉积物记录。在北方森林，该项目将编制该地区第一份年度分解的古气候沉积记录。为了建立这些记录，将使用新的协议，结合使用CT扫描、微X射线荧光和沉积物岩心图像分析，以年度分辨率确定绝对密度的特征。这使得能够计算沉积成分的流入率，可用于改进将沉积物特性与气候参数联系起来的统计推断模型。此外，水文气候确定性模型加上沉积物输送模块将被实施，以预测一个“纹”和涌入率值需要校准模型流量和泥沙负荷。这个新的概念称为“前瞻性建模”或模拟自然档案中包含的气候指标，将在实验室和我们的两个自然现场进行测试。正演模拟将改善气候变暖和极端事件中河流流量的预测，这是政府机构和水电行业感兴趣的话题。从CT扫描获得密度将直接应用于考古学（金属件的内部结构），成矿学（合金3D结构），地质工程（地质灾害），建筑（混凝土强度和蚀变）。该计划将有助于在沉积学，气候变化和仪器技术方面培养4名硕士，4名博士和5名本科生。