scholarly journals Computation of backwater effects in low lying (marshland) catchments – a re-usable and efficient method in an open source hydrological model

Author(s):  
Sandra Hellmers ◽  
Christoph Sauer ◽  
Peter Fröhle

<p>An efficient method to solve a significant weakness in hydrological modelling to compute backwater effects in low lying catchments is presented. The re-usable and transferable method is implemented in the open source software KalypsoNA (KalypsoHydrology) and validated with results of a tidal influenced low lying catchment study. <br>Especially in low lying (marshy) catchments, the pressure on current storm water drainage systems raises due to combined impacts of enlarged urbanisation on the one hand and mean sea level rise and heavy storm events on the other hand. Models are applied to analyse and assess the resulting consequences by these impacts on the flood routing along a stream using different hydrological approaches: (i) pure black box (namely empirical, lumped), (ii) hydrological conceptual or (iii) hydrodynamic-numerical approaches. The computation of flow depths, velocities and backwater effects in streams as well as on forelands are not yet modelled with hydrological approaches, but using simplified hydrodynamic-numerical approaches. A requirement for accurate hydrodynamic-numerical modelling is high resolution data of the topography of the main channel and the flood plain in case of bank overflow. Hence, the availability of suitable detailed profile data from measurements is crucial for hydrodynamic-numerical modelling. The comparatively long computing time for hydrodynamic-numerical model simulations is no limitation for answering special research questions, but it poses a limitation in real-time operational application and for meso to regional scale catchment modelling (>100 km<sup>2</sup>). <br>To resolve the shortcomings in hydrological approaches to model water depths and backwater effects, new concepts are required which are <em>applicable</em> for catchments with scarce data availability, <em>efficient </em>for real-time operational model application, <em>open </em>for further model developments and <em>re-useable</em> for other hydrological model implementations.<br>This contribution presents the development, implementation and evaluation of a method for modelling backwater effects based on a hydrological flood routing approach and a backwater volume routing according to the water level slope. The developed method computes the backwater effects in two steps. First, the inflow from sub-catchments and the non-backwater affected flood routing processes are computed. Secondly, the afflux conditions are calculated which cause backwater effects in upstream direction. Afflux conditions occur mainly at tributary inlets or control structures (for example, tide gates, weirs, retention ponds or sluices). The input parameters comprise simplified or complex geometrical data per stream segment. Therefore, the model is applicable for catchments with a good or scarce availability of data. Computation time is in the range of max 3 minutes even for large catchments (> 150 km² with several sub- and sub-sub-catchments) using a time step size of 15 minutes for a 14 days simulation and is therefore applicable for real-time operational simulations in flood forecasting. <br>The proposed method is re-useable and transferable to other hydrological numerical models which use conceptual hydrological flood routing approaches (e.g. Muskingum-Cunge or Kalinin-Miljukov). The open source software model KalypsoHydrology and the calculation core KalypsoNA are available at https://sourceforge.net/projects/kalypso/ and http://kalypso.wb.tu-harburg.de/downloads/. Open access for developments and user application is supported by an online accessible commitment management via SourceForge and a wiki as an online manual.</p>

Author(s):  
Pushpa Singh ◽  
Rajeev Agrawal

This article focuses on the prospects of open source software and tools for maximizing the user expectations in heterogeneous networks. The open source software Python is used as a software tool in this research work for implementing machine learning technique for the categorization of the types of user in a heterogeneous network (HN). The KNN classifier available in Python defines the type of user category in real time to predict the available users in a particular category for maximizing profit for a business organization.


2020 ◽  
Vol 237 ◽  
pp. 06005
Author(s):  
Artem Sherstobitov ◽  
Viktor Banakh ◽  
Alexander Nadeev ◽  
Igor Razenkov ◽  
Igor Smalikho ◽  
...  

Paper presents a model of the all-fiber pulsed coherent Doppler lidar (IAO-lidar) build in the IAO SB RAS. Here is described lidar design, the algorithm for processing of lidar signals and the software-hardware system that implements signal processing in real time, created with the use of open source software. The results of joint measurements of the radial velocity by the IAO-lidar and the HALO Photonics (Stream Line) lidar are given.


Author(s):  
Frederick M. Proctor ◽  
William P. Shackleford

Linux is a version of the Unix operating system distributed according to the open source model. Programmers are free to adapt the source code for their purposes, but are required to make their modifications or enhancements available as open source software as well. This model has fostered the widespread adoption of Linux for typical Unix server and workstation roles, and also in more arcane applications such as embedded or real-time computing. Embedded applications typically run in small physical and computing footprints, usually without fragile peripherals like hard disk drives. Special configurations are required to support these limited environments. Real-time applications require guarantees that tasks will execute within their deadlines, something not possible in general with the normal Linux scheduler. Real-time extensions to Linux enable deterministic scheduling, at task periods at tens of microseconds. This paper describes embedded and real-time Linux, and an application for distributed control of a Stewart Platform cable robot. Special Linux configuration requirements are detailed, and the architecture for teleoperated control of the cable robot is presented, with emphasis on the resolved-rate control of the suspended platform.


Author(s):  
C. Arias Muñoz ◽  
M. A. Brovelli ◽  
C. E. Kilsedar ◽  
R. Moreno-Sanchez ◽  
D. Oxoli

The availability of water-related data and information across different geographical and jurisdictional scales is of critical importance for the conservation and management of water resources in the 21<sup>st</sup> century. Today information assets are often found fragmented across multiple agencies that use incompatible data formats and procedures for data collection, storage, maintenance, analysis, and distribution. The growing adoption of Web mapping systems in the water domain is reducing the gap between data availability and its practical use and accessibility. Nevertheless, more attention must be given to the design and development of these systems to achieve high levels of interoperability and usability while fulfilling different end user informational needs. This paper first presents a brief overview of technologies used in the water domain, and then presents three examples of Web mapping architectures based on free and open source software (FOSS) and the use of open specifications (OS) that address different users’ needs for data sharing, visualization, manipulation, scenario simulations, and map production. The purpose of the paper is to illustrate how the latest developments in OS for geospatial and water-related data collection, storage, and sharing, combined with the use of mature FOSS projects facilitate the creation of sophisticated interoperable Web-based information systems in the water domain.


2018 ◽  
Author(s):  
Maya B Mathur ◽  
David Reichling

Mouse-tracking is a sophisticated tool for measuring rapid, dynamic cognitive processes in real time, particularly in experiments investigating competition between perceptual or cognitive categories. We provide user-friendly, open-source software (https://osf.io/st2ef/) for designing and analyzing such experiments online using the Qualtrics survey platform. The software consists of a Qualtrics template with embedded Javascript and CSS along with R code to clean, parse, and analyze the data. No special programming skills are required to use this software. As we discuss, this software could be readily modified for use with other online survey platforms that allow the addition of custom Javascript. We empirically validate the provided software by benchmarking its performance on previously tested stimuli in a standard category-competition experiment with realistic crowdsourced data collection.


Author(s):  
Stefano Scanzio

Nowadays, most control systems are based on programmable logic controllers (PLCs) and on commercial programs, but the use of conventional PCs is becoming an increasing by popularity and competitive alternative. After an introduction that underlines the positive and negative aspects of both solutions, EtherCAT, a hard real-time industrial Ethernet protocol that allows the use of both conventional PCs and open-source software, is analyzed. Two different EtherCAT master implementations are compared, which are based on a commercial and on a open-source software, respectively. In order to highlight differences and provide a short reference, a simple example was implemented in the two environments.


2010 ◽  
Vol 85 (3-4) ◽  
pp. 378-382 ◽  
Author(s):  
M. Zilker ◽  
K. Behler ◽  
T. Bluhm ◽  
P. Heimann ◽  
Ch. Hennig ◽  
...  

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