Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Classification of Rainfall-Runoff Events for Flood Analysis and Forecasting in Lower Saxony, Germany

View through CrossRef
Local rainfall events, especially those with high precipitation levels in a short period of time, can cause extreme runoff in their associated catchment areas. The high variability of rainfall and runoff events makes it difficult to accurately calculate the risk of flooding. To improve the assessment of individual rainfall-runoff events, it is essential to analyze their frequency, intensity and the complex relationship between rainfall and runoff. This analysis leads to a better understanding of the involved processes, enabling more precise modeling and earlier recognition and prediction of runoff events.This study focuses on the Hannover radar range, which is primarily located in Lower Saxony, Germany. The rainfall events resulting from the radar data from the German Weather Service are classified into convective, stratiform and mixed rainfall based on their intensity, areal extent and duration. The associated rainfall-runoff events of various catchments in Lower Saxony will be further classified into three categories: long-rain floods, short-rain floods and flash floods.The results of this study are expected to demonstrate the relationship between rainfall and runoff events including the frequency of different types of rainfall-runoff events. Additionally, the study aims to identify the type of rainfall responsible for extreme rainfall-runoff events. The analysis will also consider the influence of catchment characteristics and initial conditions on the runoff.
Title: Classification of Rainfall-Runoff Events for Flood Analysis and Forecasting in Lower Saxony, Germany
Description:
Local rainfall events, especially those with high precipitation levels in a short period of time, can cause extreme runoff in their associated catchment areas.
The high variability of rainfall and runoff events makes it difficult to accurately calculate the risk of flooding.
To improve the assessment of individual rainfall-runoff events, it is essential to analyze their frequency, intensity and the complex relationship between rainfall and runoff.
This analysis leads to a better understanding of the involved processes, enabling more precise modeling and earlier recognition and prediction of runoff events.
This study focuses on the Hannover radar range, which is primarily located in Lower Saxony, Germany.
The rainfall events resulting from the radar data from the German Weather Service are classified into convective, stratiform and mixed rainfall based on their intensity, areal extent and duration.
The associated rainfall-runoff events of various catchments in Lower Saxony will be further classified into three categories: long-rain floods, short-rain floods and flash floods.
The results of this study are expected to demonstrate the relationship between rainfall and runoff events including the frequency of different types of rainfall-runoff events.
Additionally, the study aims to identify the type of rainfall responsible for extreme rainfall-runoff events.
The analysis will also consider the influence of catchment characteristics and initial conditions on the runoff.

Related Results

A new method to identify time to peak in Unit Hydrographs
A new method to identify time to peak in Unit Hydrographs
Catchment response time is an important parameter in hydrological models, particularly in peak flow prediction in catchment scale. Unit hydrographs are hydrological tools that repr...
Influence of Cumulative Rainfall on the Occurrence of Landslides in Korea
Influence of Cumulative Rainfall on the Occurrence of Landslides in Korea
This study presents the impact of cumulative rainfall on landslides, following the analysis of cumulative rainfall for 20 days before the landslide. For the 1520 landslides analyze...
Assessment of Flood Risk Analysis in Selangor
Assessment of Flood Risk Analysis in Selangor
Flood events occur every year especially during the monsoon season. Although its consequences are not as disastrous as other natural disasters such as earthquakes and tornado storm...
Real-Time Flood Classification Forecasting Based on k-Means++ Clustering and Neural Network
Real-Time Flood Classification Forecasting Based on k-Means++ Clustering and Neural Network
Abstract Floods are one of the most dangerous disasters that affect human beings. Timely and accurate flood forecasting can effectively reduce losses to human life and prop...
Evaluation of Environmental Efficiency of Runoff Responsibility Distribution from the Perspective of Equity and Efficiency
Evaluation of Environmental Efficiency of Runoff Responsibility Distribution from the Perspective of Equity and Efficiency
<p>In recent years, the risk of flooding disasters caused by climate change has increased, and a new concept of runoff sharing has been proposed in China. It is an op...
Combining Multiple Machine Learning Methods Based on CARS Algorithm to Implement Runoff Simulation
Combining Multiple Machine Learning Methods Based on CARS Algorithm to Implement Runoff Simulation
Runoff forecasting is crucial for water resource management and flood safety and remains a central research topic in hydrology. Recent advancements in machine learning provide nove...

Back to Top