Recent studies of flood risk at New York Harbor (NYH) have shown disparate results for the 100 year storm tide, providing an uncertain foundation for the flood mitigation response after Hurricane Sandy. Here we present a flood hazard assessment that improves confidence in our understanding of the region’s present-day potential for flooding, by separately including the contribution of tropical c...

Decisions on the rehabilitation of a sewer system are usually based on a single computation of CSO volumes using a time series of rainfall as system loads. Therefore, uncertainty in knowledge of model parameters is not taken into account. Moreover, statistical uncertainties are left aside. This paper presents the effect of uncertainties in model parameters on overall model results taking into a...

Introduction ............................................................................................................................................................1 Rainfall and Runoff Characteristics for Urban Areas .............................................................................................2 Small Storm Hydrology.............................................................

This paper reviews recent studies that take a physically-based approach to better assess and manage hurricane risk. Such a methodology includes three components: modeling the storm climatology (which defines TC risk in terms of the upper tail of the storm statistics); modeling landfalling hazards; and characterizing damage and losses. not rely on the limited historical TC data but generates lar...

Background: Multiple Sclerosis (MS) is one of the most debilitating disease among young adults. Understanding the disability score (Expanded Disability Status Scale (EDSS)) of these patients is helpful in choosing their treatment process. Calculating EDSS takes a lot of time for Neurologists, so having a way to estimate EDSS can be helpful. This study aimed to estimate the EDSS score of MS pati...

We propose a single-index diiusion model in this paper. This model can avoid thècurse of dimensionality' in estimating a multivariate nonparametric conditional variance. We adopt an absolute deviation estimation method to estimate the model. Comparing with the commonly used estimators, the absolute deviation estimator is more stable and ef-cient. Some simulations and applications to real data a...

The transmission lines are exposed to the atmosphere nature and will be affected by adverse weather such as lightning storm, so that it will affect the reliability of transmission system. This paper studies the fault probability model of transmission line during the lightning storm, and evaluates the short-term reliability of transmission system in the forecasting weather condition. Firstly, bu...