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RISComparative Evaluation of Drought Indexes: Case Study on the Yarra River Catchment in Australia
Publisher: American Society of Civil Engineers
Abstract: Drought indexes (DIs) have commonly been used to quantify drought conditions around the world. Most DIs are developed for specific regions and, therefore, may not be directly applicable to other regions because of the ...
Artificial Neural Network–Based Drought Forecasting Using a Nonlinear Aggregated Drought Index
Publisher: American Society of Civil Engineers
Abstract: Drought forecasting plays an important role in the planning and management of water resources systems, especially during dry climatic periods. In this study, a nonlinear aggregated drought index (NADI) was developed first ...
Markov and Neural Network Models for Prediction of Structural Deterioration of Storm-Water Pipe Assets
Publisher: American Society of Civil Engineers
Abstract: Storm-water pipe networks in Australia are designed to convey water from rainfall and surface runoff. They do not transport sewerage. Their structural deterioration is progressive with aging and will eventually cause pipe ...
Hydraulic Deterioration Models for Storm-Water Drainage Pipes: Ordered Probit versus Probabilistic Neural Network
Publisher: American Society of Civil Engineers
Abstract: A decrease in discharge capacity of storm-water drainage pipes is the result of the so-called hydraulic deterioration which reduces the cross sectional area of pipes and increases the pipe roughness. Hydraulic deterioration ...
Predicting Structural Deterioration Condition of Individual Storm-Water Pipes Using Probabilistic Neural Networks and Multiple Logistic Regression Models
Publisher: American Society of Civil Engineers
Abstract: After several decades in service, the deterioration of storm-water pipe assets is inevitable. The deterioration of storm-water pipes is characterized by structural deterioration and hydraulic deterioration. Condition ...