Abstract: There are multiple sources of uncertainties in urban water-distribution systems, e.g., nodal water demand and sensor measurement error. All of these uncertainties increase the complexity of contaminant source identification ...

Abstract: Bayesian analysis has application to probabilistic source characterization in water distribution systems. A new implementation of Markov-chain Monte Carlo (MCMC) for this problem is described. The solution addresses the ...

Abstract: An experimental investigation was performed to assess the performance of a hybrid fiber-reinforced polymer/reinforced concrete bridge system. The full-scale laboratory specimen was representative of an

Abstract: Existing solid waste management (SWM) planning software provides only limited assistance to decision makers struggling to find strategies that address their multifarious concerns. The combinatorial nature (many waste items ...

Abstract: A companion paper described the development of the integrated solid waste management (ISWM) model that considers cost, energy, and environmental releases associated with management of municipal solid waste. This paper ...