Plugin prototyping for the EPANET software

Sela, Lina; Salomons, Elad; Housh, Mashor

doi:10.1016/j.envsoft.2019.05.010

Cited by 12 publications

(7 citation statements)

References 15 publications

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“…In particular, "GIS software", which refers to software for the creation, management, analysis, and visualisation of geospatial data (Steiniger and Weibel, 2010), can be enhanced with dedicated ad hoc plugins. Plugins are extensions that allow users to add any functionality that they need without modifying the source code of the GIS software (Sela et al, 2019). They provide an opportunity to automate tasks, as facilitating workflows has become a necessary process to manage the large amounts of data collected by saving significant amounts of time.…”

Section: Introductionmentioning

confidence: 99%

PelaSIG, a QGIS plugin for marine megafauna census: application to the aerial ACCOBAMS Survey Initiative dataset

Nivière,

Blanchard,

Jraifi

et al. 2024

Front. Mar. Sci.

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The distribution of wild animals and their monitoring over large areas raises many logistical and technical difficulties that hinder the collection of observation data. The use of Geographic Information Systems (GIS) has increased significantly in recent years. QGIS, an open-source GIS software dedicated to the processing of geospatial data, enables the development of dedicated plugins for specific workflows. The open-source PelaSIG plugin has been developed in Python for QGIS 3 to facilitate and standardise the different steps before and after distance sampling surveys. It brings together a set of tools for survey preparation, automatic data checking, visualisation and presentation of survey effort and sightings to provide an adapted workflow. This plugin is currently designed to process dedicated aerial datasets collected with the SAMMOA software during marine megafauna surveys (i.e., marine mammals, seabirds, elasmobranchs, sea turtles, etc.). Here, we first describe the different tools already available, and then, we present an application with the dataset from the aerial survey of the ACCOBAMS Survey Initiative (ASI) conducted in 2018 over the Mediterranean Sea and using a multi-target protocol.

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Section: Introductionmentioning

confidence: 99%

PelaSIG, a QGIS plugin for marine megafauna census: application to the aerial ACCOBAMS Survey Initiative dataset

Nivière,

Blanchard,

Jraifi

et al. 2024

Front. Mar. Sci.

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“…However, there is little research that comprehensively contains realistic uncertainties that can be efficiently unitized in reality. Moreover, the leakage events in the representative studies mentioned above were all generated by EPANET [ 28 , 29 ]—famous water system simulation software—in which a burst pipe is simulated by adding an extra demand at a target node [ 30 ].…”

Section: Introductionmentioning

confidence: 99%

Optimal Pressure Sensor Deployment for Leak Identification in Water Distribution Networks

Yang

Wang

2023

Sensors

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Pipe leakage is an inevitable phenomenon in water distribution networks (WDNs), leading to energy waste and economic damage. Leakage events can be reflected quickly by pressure values, and the deployment of pressure sensors is significant for minimizing the leakage ratio of WDNs. Concerning the restriction of realistic factors, including project budgets, available sensor installation locations, and sensor fault uncertainties, a practical methodology is proposed in this paper to optimize pressure sensor deployment for leak identification in terms of these realistic issues. Two indexes are utilized to evaluate the leak identification ability, that is, detection coverage rate (DCR) and total detection sensitivity (TDS), and the principle is to determine priority to ensure an optimal DCR and retain the largest TDS with an identical DCR. Leakage events are generated by a model simulation and the essential sensors for maintaining the DCR are obtained by subtraction. In the event of a surplus budget, and if we suppose the partial sensors have failed, then we can determine the supplementary sensors that can best complement the lost leak identification ability. Moreover, a typical WDN Net3 is employed to show the specific process, and the result shows that the methodology is largely appropriate for real projects.

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“…Plugins are an essential component of software, which can extend the capabilities of an already existing software as well as improve the user experience by providing more user friendly GUI, without affecting the source code (Sela et al, 2019). Plugins are available for many commonly used web software, such as web browsers (Google Chrome, 2018), free and commercial engineering software, like AutoCAD (AutoDeskInc, 2015), Quantum GIS (QGIS, QGIS Development Team, 2021), as well as for word processors and video editing software.…”

Section: Introductionmentioning

confidence: 99%

FSLAM: A QGIS plugin for fast regional susceptibility assessment of rainfall-induced landslides

Guo

Torra

Hürlimann

et al. 2022

Environmental Modelling & Software

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Plugin prototyping for the EPANET software

Cited by 12 publications

References 15 publications

PelaSIG, a QGIS plugin for marine megafauna census: application to the aerial ACCOBAMS Survey Initiative dataset

PelaSIG, a QGIS plugin for marine megafauna census: application to the aerial ACCOBAMS Survey Initiative dataset

Optimal Pressure Sensor Deployment for Leak Identification in Water Distribution Networks

FSLAM: A QGIS plugin for fast regional susceptibility assessment of rainfall-induced landslides

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