Over the course of the past several decades the benefits of redeveloping brownfields have been widely recognized. Actions have been taken to foster sustainable redevelopment of brownfields by government, policy makers and stakeholders across the world. However, redevelopments encounter great challenges and risks related to environmental and non-environmental issues. In this work, we intend to build a comprehensive and practical framework to evaluate the hydrogeological and financial risks involved during redevelopment and to ensure developers reserve sufficient capital to cover unexpected future costs within the guarantee period. Punitive damages, which contribute to these costs, are in this thesis solely associated with the cost of repossessing a house within a development should the indoor air concentration of TCE exceed the regulatory limit at a later time. The uncertainties associated with brownfield remediation have been among the barriers to brownfield redevelopment. This is mainly caused by the lack of knowledge about a site’s environmental condition. In order to alleviate uncertainties and to better understand the contaminant transport process in the subsurface, numerical simulations have been conducted to investigate the role of controlling parameters in determining the fate and transport of volatile organic compounds originating from a NAPL source zone located below the water table in the subsurface. In the first part of this thesis, the numerical model CompFlow Bio is used on a hypothesized three-dimensional problem geometry where multiple residential dwellings are built. The simulations indicate that uncertainty in the simulated indoor air concentration is sensitive to heterogeneity in the permeability structure of a stratigraphically continuous aquifer with uncertainty defined as the probability of exceeding a regulatory limit. Houses which are laterally offset from the groundwater plume are less affected by vapour intrusion due to limited transverse horizontal flux of TCE within the groundwater plume in agreement with the ASTM (2008) guidance. Within this uncertainty framework, we show that the Johnson and Ettinger (1991) model generates overly-conservative results and contributes to the exclusion zone being much further away from the groundwater plume relative to either CompFlow Bio or ASTM (2008). The probability of failure (or the probability of exceedence of the regulatory limit) is defined and calculated for further study. Due to uncertainties resulting from parameter estimation and model prediction, a methodology is introduced to incorporate field measurements into the initial estimates from the numerical model in order to improve prediction accuracy. The principle idea of this methodology is to combine the geostatistical tool kriging with the statistical data assimilation method Kalman filter to evaluate the worth and effectiveness of data in a quantitative way in order to select an optimal sampling scenario. This methodology is also used to infer whether one of the houses located adjacent to affected houses has indoor air problems based on the measurements subject to the observation that the affected house is monitored and has problems and developers have liability if a problem occurs. In this part of the study, different sampling scenarios are set up in terms of permeability (1 – 80 boreholes) and soil gas concentration (2, 4 and 7 samples) and three metrics are defined and computed as a criterion for comparison. Financing brownfield redevelopment is often viewed as a major barrier to the development process mainly due to risks and liabilities associated with brownfields. The common way of managing the risk is to transfer it to insurers by purchasing insurance coverage. This work provides two different strategies to price the risk, which is equivalent to an insurance premium. It is intended to give an instructive insight into project planning and feasibility studies during the decision-making process of a brownfield project. The two strategies of risk capital valuation are an actuarial premium calculation principle and a martingale premium calculation principle accounting for the hydrogeological and financial uncertainties faced in a project. The data used for valuation are the posterior estimates of data assimilation obtained from the results of different sampling scenarios. The cost-benefit-risk analysis is employed as a basis to construct the objective function in order to find the least cost among sampling scenarios for the project. As a result, it shows that drilling seven boreholes to extract permeability data and taking soil gas samplings in four locations or seven locations alternatively give the minimum total cost. Sensitivity analysis of some influential parameters (the safety loading factors and the possible methods to calculate the probability of failure) is performed to determine their roles of importance in the risk capital valuation. This framework can be applied to provide guidance for other risk-based environmental projects.

Brownfields redevelopment has been encouraged by governments or the real estate market because of economic, social and environmental benefits. However, uncertainties in contaminated land redevelopment may cause massive investment risk and need to be managed so that contaminated land redevelopment is facilitated. This study was designed to address hydrogeological as well as economic uncertainty in a hypothetical contaminated land redevelopment project and manage the risk from these uncertainties through the integration of the hydrogeological and economic uncertainties. Hydrogeological uncertainty is derived from incomplete site information, including aquifer heterogeneity, and must be assessed with scientific expertise, given the short history of redevelopment projects and their unique hydrogeological characteristics. Hydrogeological uncertainty has not yet been incorporated in one framework with the economic uncertainty that has been relatively well observed in financial markets. Two cases of Non-Aqueous Phase Liquid (NAPL) contamination were simulated using a physically-based hydrogeological model to address hydrogeological uncertainty: one concerns the effect of an ethanol spill on a light NAPL (LNAPL) contaminated area in the vadose zone, and the other is regarding the vapour phase intrusion of volatile organic compounds, in particular, Trichloroethylene (TCE), a dense NAPL (DNAPL), into indoor air through a variably saturated heterogeneous aquifer. The first simulation replicated experimental observations in the laboratory, such as the capillary fringe depressing and the NAPL pool remobilizing and collecting in a reduced area exhibiting higher saturations than observed prior to an ethanol injection. However, the data gap, in particular, on the chemical properties between the model and the experiment caused the uncertainty in the model simulation. The second NAPL simulation has been performed based on a hypothetical scenario where new dwellings in a redeveloped area have the potential risk of vapour phase intrusion from a subsurface source into indoor air because remediation or foundation design might fail. The simulation results indicated that the aquifer heterogeneity seemed the most significant factor controlling the indoor air exposure risk from a TCE source in the saturated zone. Then, the exposure risk was quantified using Monte Carlo simulations with 50 statistically equivalent heterogeneous aquifer permeability fields. The quantified risk (probability) represents the hydrogeological uncertainty in the scenario and gives the information on loss occurrence intensity of redevelopment failure. Probability of failure (or loss occurrence intensity) was integrated with cost of failure (or loss magnitude) to evaluate the risk capital in the hypothetical brownfields redevelopment project. The term “risk capital” is adopted from financial literature and is the capital you can lose from high risk investment. Cost of failure involves economic uncertainty and can be defined based on a developer’s financial agreement with new dwellers to prevent litigation in the case of certain events, such as an environmental event where indoor air concentrations of pollutants exceed regulatory limits during periodic inspections. The developer makes such a financial agreement with new dwellers because new dwellings have been constructed founded on flawed site information, and municipalities may require it if a land use planning approval is required. An agreement was presumed that the developer would repurchase the affected houses from new dwellers immediately, if indoor air contamination exceeded the regulatory limit. Furthermore, the developer would remediate any remaining contamination, demolish the affected houses and build new houses if they were worth investing in. With this financial plan assumed, the stochastic housing price, stochastic inflation rate and stochastic interest rate have been considered to cause the uncertainty in the cost of failure, and the information on these stochastic variables was obtained from the financial market due to its long history of observations. This research reviewed appropriate risk capital valuation methods for hydrogeologists to apply straightforwardly to their projects, with integrating probability of failure (hydrogeological uncertainty) and cost of failure (economic uncertainty). The risk capital is essentially the probability of failure times the cost of failure with safety loading added to compensate investors against hydrogeological and financial uncertainty. Fair market prices of risk capital have been valuated using financial mathematics and actuarial premium calculations, and each method has a specific safety loading term to reflect investors’ level of risk aversion. Risk capital results indicated that the price of the risk capital was much more sensitive to hydrogeological uncertainty than financial uncertainty. Developers can manage the risk capital by saving a contingency fee for future events or paying an insurance premium, given that the price of this risk capital is the price of a contingent claim, subsequent to failure in remediation or in foundation design, and equivalent to an environmental insurance premium if there is an insurance company to indemnify the liability for the developer. The optimal framework of investment strategy in brownfields redevelopment can be built by linkage of addressing and integrating uncertainties and valuating risk capital from the uncertainties. This framework involves balancing the costs associated with each step while maximizing a net profit from land redevelopment. The optimal investment strategy, such as if or when to remediate or redevelop and to what degree, is given when the future price of the land minus time and material costs as well as the contingency fee or insurance premium maximizes a net profit.

Brownfields redevelopment has been encouraged by governments or the real estate market because of economic, social and environmental benefits. However, uncertainties in contaminated land redevelopment may cause massive investment risk and need to be managed so that contaminated land redevelopment is facilitated. This study was designed to address hydrogeological as well as economic uncertainty in a hypothetical contaminated land redevelopment project and manage the risk from these uncertainties through the integration of the hydrogeological and economic uncertainties. Hydrogeological uncertainty is derived from incomplete site information, including aquifer heterogeneity, and must be assessed with scientific expertise, given the short history of redevelopment projects and their unique hydrogeological characteristics. Hydrogeological uncertainty has not yet been incorporated in one framework with the economic uncertainty that has been relatively well observed in financial markets. Two cases of Non-Aqueous Phase Liquid (NAPL) contamination were simulated using a physically-based hydrogeological model to address hydrogeological uncertainty: one concerns the effect of an ethanol spill on a light NAPL (LNAPL) contaminated area in the vadose zone, and the other is regarding the vapour phase intrusion of volatile organic compounds, in particular, Trichloroethylene (TCE), a dense NAPL (DNAPL), into indoor air through a variably saturated heterogeneous aquifer. The first simulation replicated experimental observations in the laboratory, such as the capillary fringe depressing and the NAPL pool remobilizing and collecting in a reduced area exhibiting higher saturations than observed prior to an ethanol injection. However, the data gap, in particular, on the chemical properties between the model and the experiment caused the uncertainty in the model simulation. The second NAPL simulation has been performed based on a hypothetical scenario where new dwellings in a redeveloped area have the potential risk of vapour phase intrusion from a subsurface source into indoor air because remediation or foundation design might fail. The simulation results indicated that the aquifer heterogeneity seemed the most significant factor controlling the indoor air exposure risk from a TCE source in the saturated zone. Then, the exposure risk was quantified using Monte Carlo simulations with 50 statistically equivalent heterogeneous aquifer permeability fields. The quantified risk (probability) represents the hydrogeological uncertainty in the scenario and gives the information on loss occurrence intensity of redevelopment failure. Probability of failure (or loss occurrence intensity) was integrated with cost of failure (or loss magnitude) to evaluate the risk capital in the hypothetical brownfields redevelopment project. The term “risk capital” is adopted from financial literature and is the capital you can lose from high risk investment. Cost of failure involves economic uncertainty and can be defined based on a developer’s financial agreement with new dwellers to prevent litigation in the case of certain events, such as an environmental event where indoor air concentrations of pollutants exceed regulatory limits during periodic inspections. The developer makes such a financial agreement with new dwellers because new dwellings have been constructed founded on flawed site information, and municipalities may require it if a land use planning approval is required. An agreement was presumed that the developer would repurchase the affected houses from new dwellers immediately, if indoor air contamination exceeded the regulatory limit. Furthermore, the developer would remediate any remaining contamination, demolish the affected houses and build new houses if they were worth investing in. With this financial plan assumed, the stochastic housing price, stochastic inflation rate and stochastic interest rate have been considered to cause the uncertainty in the cost of failure, and the information on these stochastic variables was obtained from the financial market due to its long history of observations. This research reviewed appropriate risk capital valuation methods for hydrogeologists to apply straightforwardly to their projects, with integrating probability of failure (hydrogeological uncertainty) and cost of failure (economic uncertainty). The risk capital is essentially the probability of failure times the cost of failure with safety loading added to compensate investors against hydrogeological and financial uncertainty. Fair market prices of risk capital have been valuated using financial mathematics and actuarial premium calculations, and each method has a specific safety loading term to reflect investors’ level of risk aversion. Risk capital results indicated that the price of the risk capital was much more sensitive to hydrogeological uncertainty than financial uncertainty. Developers can manage the risk capital by saving a contingency fee for future events or paying an insurance premium, given that the price of this risk capital is the price of a contingent claim, subsequent to failure in remediation or in foundation design, and equivalent to an environmental insurance premium if there is an insurance company to indemnify the liability for the developer. The optimal framework of investment strategy in brownfields redevelopment can be built by linkage of addressing and integrating uncertainties and valuating risk capital from the uncertainties. This framework involves balancing the costs associated with each step while maximizing a net profit from land redevelopment. The optimal investment strategy, such as if or when to remediate or redevelop and to what degree, is given when the future price of the land minus time and material costs as well as the contingency fee or insurance premium maximizes a net profit.

Over the course of the past several decades the benefits of redeveloping brownfields have been widely recognized. Actions have been taken to foster sustainable redevelopment of brownfields by government, policy makers and stakeholders across the world. However, redevelopments encounter great challenges and risks related to environmental and non-environmental issues. In this work, we intend to build a comprehensive and practical framework to evaluate the hydrogeological and financial risks involved during redevelopment and to ensure developers reserve sufficient capital to cover unexpected future costs within the guarantee period. Punitive damages, which contribute to these costs, are in this thesis solely associated with the cost of repossessing a house within a development should the indoor air concentration of TCE exceed the regulatory limit at a later time. The uncertainties associated with brownfield remediation have been among the barriers to brownfield redevelopment. This is mainly caused by the lack of knowledge about a site’s environmental condition. In order to alleviate uncertainties and to better understand the contaminant transport process in the subsurface, numerical simulations have been conducted to investigate the role of controlling parameters in determining the fate and transport of volatile organic compounds originating from a NAPL source zone located below the water table in the subsurface. In the first part of this thesis, the numerical model CompFlow Bio is used on a hypothesized three-dimensional problem geometry where multiple residential dwellings are built. The simulations indicate that uncertainty in the simulated indoor air concentration is sensitive to heterogeneity in the permeability structure of a stratigraphically continuous aquifer with uncertainty defined as the probability of exceeding a regulatory limit. Houses which are laterally offset from the groundwater plume are less affected by vapour intrusion due to limited transverse horizontal flux of TCE within the groundwater plume in agreement with the ASTM (2008) guidance. Within this uncertainty framework, we show that the Johnson and Ettinger (1991) model generates overly-conservative results and contributes to the exclusion zone being much further away from the groundwater plume relative to either CompFlow Bio or ASTM (2008). The probability of failure (or the probability of exceedence of the regulatory limit) is defined and calculated for further study. Due to uncertainties resulting from parameter estimation and model prediction, a methodology is introduced to incorporate field measurements into the initial estimates from the numerical model in order to improve prediction accuracy. The principle idea of this methodology is to combine the geostatistical tool kriging with the statistical data assimilation method Kalman filter to evaluate the worth and effectiveness of data in a quantitative way in order to select an optimal sampling scenario. This methodology is also used to infer whether one of the houses located adjacent to affected houses has indoor air problems based on the measurements subject to the observation that the affected house is monitored and has problems and developers have liability if a problem occurs. In this part of the study, different sampling scenarios are set up in terms of permeability (1 – 80 boreholes) and soil gas concentration (2, 4 and 7 samples) and three metrics are defined and computed as a criterion for comparison. Financing brownfield redevelopment is often viewed as a major barrier to the development process mainly due to risks and liabilities associated with brownfields. The common way of managing the risk is to transfer it to insurers by purchasing insurance coverage. This work provides two different strategies to price the risk, which is equivalent to an insurance premium. It is intended to give an instructive insight into project planning and feasibility studies during the decision-making process of a brownfield project. The two strategies of risk capital valuation are an actuarial premium calculation principle and a martingale premium calculation principle accounting for the hydrogeological and financial uncertainties faced in a project. The data used for valuation are the posterior estimates of data assimilation obtained from the results of different sampling scenarios. The cost-benefit-risk analysis is employed as a basis to construct the objective function in order to find the least cost among sampling scenarios for the project. As a result, it shows that drilling seven boreholes to extract permeability data and taking soil gas samplings in four locations or seven locations alternatively give the minimum total cost. Sensitivity analysis of some influential parameters (the safety loading factors and the possible methods to calculate the probability of failure) is performed to determine their roles of importance in the risk capital valuation. This framework can be applied to provide guidance for other risk-based environmental projects.