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Sustainable Geotechnical Design: Temperature-water-plant-soil coupling for modelling soil inherent heterogeneity under climatic uncertainty due to glo

Sustainable Geotechnical Design: Temperature-water-plant-soil coupling for modelling soil inherent heterogeneity under climatic uncertainty due to glo
可持续岩土工程设计:温度-水-植物-土壤耦合,用于模拟全球气候不确定性下土壤固有的异质性
批准号:
2747186
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --

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中文摘要
翻译
气候变化正在影响全球降水和降水时间的数量和空间分布(Bouwer, 2003; Cosgrove和Loucks, 2015; IPCC, 2021)。由于某些灾害模式的改变和生物多样性暴露的增加,气候变化正在增加与水灾害相关的现有风险和脆弱性(Vardon 2015; Moftakhari等人2017a; 2017b; IPCC, 2014; IPCC, 2021),导致许多现有基础设施失效。因此,我们必须重新思考我们的设计方法。因此,问题是我们如何设计来应对全球变暖带来的日益增长的压力?自然土壤由于其历史形成过程,具有由生物和非生物成分组成的内在异质性。大多数土壤是天然分层的,由垂直和水平面上的不连续组成,具有不同的物理、机械、化学和生物特性。这些生物和非生物特性受到降水和温度变化等外部环境条件的影响(Aalto et al. 2019)。从工程的角度来看,土壤的概念是多相的,由固体、水和空气三个阶段组成。因此,多物理场耦合在岩土工程文献中越来越受欢迎(wantabe et al., 2009; Keyes, 2012),因为土壤具有多种性质和相。科学挑战是能够在极端天气条件的影响下模拟土壤中生物和非生物成分的固有异质性,以理解、设计和管理岩土基础设施的可持续性。迄今为止,大多数科学文献都集中在热-水-机械-化学耦合上(Simoni, 2008; Wantanabe等人,2009;Zhou, 2015; Bond等人,2016;Ogata等人,2018;Tao等人,2019;Zheng等人,2019),很少考虑生物和非生物组分之间的相互作用,特别是根-土壤之间的相互作用,这是生物岩土技术的一个新兴领域。因此,我的工作将集中在温度-水-植物-土壤耦合上,通过产生一种新的3-D理论模型来对抗实验验证,这将能够处理工程师实际感兴趣的不同类型的问题。因此,本研究的主要目的是建立热-水-植物-土壤耦合模型,研究全球变暖导致的气候条件变化下土壤的内在异质性及其对根-微生物功能对土壤稳定性的影响。本研究的目的是:建立热-水-机械-生物耦合模型,用于模拟不同气候条件下土壤的固有变异性,并利用现有数据对模型进行校准;研究不同气候条件下微生物与土壤特性之间的相互作用发现碳与养分施用、微生物种群与植物生长之间的关系证明不同氮效度下小麦产量的差异研究植物生长对土壤稳定性(抗剪强度)的影响
英文摘要
Climate change is affecting the amount and spatial distribution of precipitation and timings worldwide (Bouwer, 2003; Cosgrove and Loucks, 2015; IPCC, 2021). Climate change is increasing the existing risks and vulnerabilities associated with water disasters, due to changing patterns of some hazards and increased in biodiversity exposure (Vardon 2015; Moftakhari et al. 2017a; 2017b; IPCC, 2014; IPCC, 2021), causing many existing infrastructures to fail. Hence, we have to rethink our design approaches. The question, therefore, is how do we design to meet the increasing pressure of global warming?Natural soil is inherently heterogeneous composed of biotic and abiotic components due to its historical formation process. Most soils are naturally layered consisting of discontinuities in the vertical and horizontal planes, having varying physical, mechanical, chemical and biological properties. These biotic and abiotic properties are affected by external environmental conditions, such precipitation and temperatures changes (Aalto et al. 2019). From engineering perspective, soil is conceptualised soil as multiphase, consisting three phases - solids, water and air. Hence, multiphysics coupling has gained popularity in geotechnical engineering literature (Wantanabe et al., 2009; Keyes, 2012) owing to the multi properties and phases of soils. Scientific challenge is to able to model soil inherent heterogeneity of biotic and abiotic components under the influence of extreme weather conditions needed to understand, design and manage geotechnical infrastructure sustainability. To date most scientific literatures has focused on Thermo-Hydro-Mechanical-Chemical coupling (Simoni, 2008; Wantanabe et al., 2009; Zhou, 2015; Bond et al. 2016; Ogata, et al, 2018; Tao et al, 2019; Zheng et. al, 2019) and little consideration has been given to the interactions between the biotic and abiotic components, in particular, roots-soil, which is an emerging field of biogeotechnics. Hence my work will focus on temperature-water-plant-soil coupling by producing a novel 3-D theoretical model against experimental validation, which will be able to deal with different types of problems of practical interest to engineers.Therefore, the main aim of this research is to develop thermo-hydro-plant-soil coupling model to investigate the inherent heterogeneity of soil and its impact on roots-microbes function on the stability of soils under changing climatic conditions due to global warming.Objectives of this study are: To develop thermo-hydro-mechanical-biotic coupled model for modelling the inherent variability in soil under varying climate conditions and calibrate the model using existing data; To validate the resulting model using wheat growth experimental data from University of Leeds pilot plot Investigate interactions between microbes and soil properties under varying climate conditions To find the relationship between carbon and nutrient applications, microbe populations and plant growth To demonstrate the difference in wheat yields across a range of N availabilities To investigate the influence of plant growth on soil stability (shear strength)
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