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Integrated soil process modelling to support the management and bioremediation of petroleum hydrocarbon-contaminated soils in cold climates

综合土壤过程建模支持寒冷气候下石油碳氢化合物污染土壤的管理和生物修复

基本信息

批准号：
520335-2017
负责人：
Chang, Wonjae
金额：
$ 1.82万
依托单位：
University of Saskatchewan
依托单位国家：
加拿大
项目类别：
Engage Grants Program
财政年份：
2017
资助国家：
加拿大
起止时间：
2017-01-01 至 2018-12-31
项目状态：
已结题

来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=640572
关键词：
Integrated soil process modelling support

项目摘要

Bioremediation technology for petroleum hydrocarbon-contaminated soils in cold climates has beenextensively explored. Numerous ex-situ bioremediation studies have suggested that biostimulation usingwater-soluble nutrient supplies and/or aeration can enhance the biodegradation activity of indigenouscold-adapted, hydrocarbon-degrading bacteria. This has become a common practice at northern sites. However,the success of ex-situ bioremediation at cold sites largely relies on seasonal soil thermal regimes, particularly interms of unfrozen water availability in contaminated soils. Understanding soil parameters and their effect onsoil phase changes is crucial for planning, designing, and managing the remediation of contaminated soils incold climates. Spatio-temporal changes in soil temperatures and unfrozen water content during seasonal soilfreeze/thaw are predictable using numerical soil modelling tools for uncontaminated soils. However, numericaltools in the literature have not been extensively validated for petroleum-contaminated soils, especially duringbioremediation. SoilVision Systems is a leading engineering software developer that provides soil thermalmodelling and other modelling software for engineering applications. Dr. Chang's recent numerical simulationstudy has highlighted the potential to advance soil thermal models for bioremediation inpetroleum-contaminated soils. The overarching goal of the proposed research, Integrated Soil ProcessModelling to Support the Management and Bioremediation of Petroleum Hydrocarbon-Contaminated Soils inCold Climates, is therefore to develop new integrated knowledge-based numerical modelling tools to supportbioremediation planning and management for petroleum-contaminated soils in cold climates. SoilVision'sthermal model will be validated using existing laboratory and field bioremediation data from a cold site, andintegrated with microbial respiration modelling specialized for seasonally freezing and thawing contaminatedsoils during bioremediation. This novel approach will advance the planning, design, and management ofremediation for petroleum-contaminated soils in remote cold regions.

寒冷地区石油污染土壤的生物修复技术已得到广泛的探索。许多异地生物修复研究表明，使用水溶性营养供应和/或曝气的生物刺激可以增强适应土著环境的烃类降解细菌的生物降解活性。这已成为北方站点的常见做法。然而，在寒冷的网站异位生物修复的成功在很大程度上依赖于季节性土壤热制度，特别是在受污染土壤中的未冻水的可用性。了解土壤参数及其对土壤相变化的影响对于规划、设计和管理寒冷气候下污染土壤的修复至关重要。季节性土壤冻融过程中土壤温度和未冻水含量的时空变化可以通过未污染土壤的数值模拟工具进行预测。然而，文献中的numericaltools还没有被广泛验证石油污染的土壤，特别是在生物修复。SoilVision Systems是一家领先的工程软件开发商，为工程应用提供土壤热建模和其他建模软件。Chang博士最近的数值模拟研究强调了推进石油污染土壤生物修复土壤热模型的潜力。因此，拟议研究的总体目标，综合土壤过程建模，以支持石油烃污染的土壤在寒冷气候的管理和生物修复，是开发新的综合知识为基础的数值建模工具，以支持石油污染的土壤在寒冷气候的生物修复规划和管理。SoilVision的热模型将使用来自寒冷地点的现有实验室和现场生物修复数据进行验证，并与生物修复期间季节性冻融污染土壤的微生物呼吸模型相结合。这种新方法将促进偏远寒冷地区石油污染土壤修复的规划、设计和管理。