Unit 301013 Advanced Statistical Hydrology Project Report
VerifiedAdded on 2022/10/08
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Project
AI Summary
This project report delves into advanced statistical hydrology, focusing on flood analysis using data from two Australian stations. The project involves fitting four different probability distributions (Normal, EV1, P3, and GEV) to the annual maximum flow data to estimate the 1% AEP flood discharge. The report then compares these estimates with those obtained through a non-parametric method, selecting an appropriate method for this purpose. The ultimate goal is to recommend a suitable flood discharge for the design of a bridge located upstream of Station 204017. The report structure includes an introduction outlining the project's objectives and structure, followed by a literature review that critically examines the concepts and methods used. The methodology section details the equations used in the analysis, followed by a discussion of results and a conclusion with recommendations for managing flood discharge. The literature review explores global flood occurrences, the impact of poor drainage, and the effects of human negligence on flood events. The report also highlights the effects of floods on human health and the environment. The project leverages the provided dataset of maximum flow data collected over a period of 40 years to analyze and predict flood occurrences, applying both probability distribution and non-parametric methods to estimate flood probability and inform flood management strategies.