Over the past few decades, several high-resolution gridded precipitation products have been developed using multiple data sources and techniques, including measured precipitation, numerical modeling, remote sensing. Each has its own sets of uncertainties limitations. Therefore, evaluating these datasets is critical in assessing their applicability various climatic regions. We used ten datasets,...

The temptation to include model parameters and high resolution input data together with the availability of powerful optimization and uncertainty analysis algorithms has significantly enhanced the complexity of hydrologic and water quality modeling. However, the ability to take advantage of sophisticated models is hindered in those models that need a large number of input files, such as the Soi...

Elisabeth Hamin, for their guidance in constructing the project and for posing important questions that helped drive the design of the project. I would especially like to thank Tim Randhir for working with me to build the model. I would also like to thank Nancy Sammons and Raghavan Srinivasan for their extensive support in troubleshooting problems with the model. Their willingness to take time ...

This paper proposes and evaluates a decentralized self-healing mechanism that detects and recovers from wormhole attacks in wireless multi-hop sensor networks. Upon detecting a wormhole attack, the proposed mechanism, called SWAT, identifies the locations of malicious nodes (or wormhole nodes), isolates them from the network and recovers the routing structure distorted by them. SWAT is the firs...

Calibration of large watershed models requires multi-gage calibration, however there are limited tools available for performing these calibrations of SWAT models. Non-Dominated Sorting Genetic Algorithm II (NSGA-II) has been shown to be an effective and efficient multi-objective calibration algorithm in various disciplines. Although NSGA-II has been used with SWAT before, there is no publically...

This study explored the application of a multi-objective evolutionary algorithm (MOEA) and Pareto ordering in the multiple-objective automatic calibration of the Soil and Water Assessment Tool (SWAT). SWAT was calibrated in the Calapooia watershed, Oregon, USA, with two different pairs of objective functions in a cluster of 24 parallel computers. The non-dominated sorting genetic algorithm (NSG...

The accurate simulation of SWAT can assist the government in making correct decisions about water management practices, which are important for human health, agricultural management, industry development, environmental quality, flood risk assessment, and recreation. In this project, the PIs were trying to improve the simulation accuracy of the SWAT model through developing new algorithm to obta...