An accelerated computation of combustion with finite-rate chemistry using LES and an open source library for In-Situ-Adaptive Tabulation

2017 ◽  
Vol 146 ◽  
pp. 42-50 ◽  
Author(s):  
Ehsan Fooladgar ◽  
C.K. Chan ◽  
Karl-Johan Nogenmyr
Keyword(s):  
Open Source ◽  
Finite Rate ◽  
In Situ Adaptive Tabulation

scholarly journals Use of open source monitoring hardware to improve the production of MOFs: using STA-16(Ni) as a case study

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Felicity Massingberd-Mundy ◽  
Stephen Poulston ◽  
Stephen Bennett ◽  
Hamish Hei-Man Yeung ◽  
Timothy Johnson
Keyword(s):  
Reaction Time ◽  
Open Source ◽  
Source Monitoring ◽  
Metal Organic Framework ◽  
In Situ Monitoring ◽  
Single Experiment ◽  
Metal Organic ◽  
Economic Tools ◽  
Open Source Hardware

Abstract Affordable and readily available microelectronics are becoming prevalent in teaching laboratories however these useful and economic tools are not used widely in either academia or industry. Herein we report how a metal organic framework (MOF) synthetic route can be optimized using an in situ monitoring apparatus designed in-house on open source hardware for under $100. We demonstrate that the MOF can be produced at atmospheric pressure, an improvement over previous reports, but also with a reduction in reaction time of 93%. This improvement in reaction time was predicted after a single experiment using the monitoring kit showing how efficiencies in the lab can be gained with very little experimental and monetary overhead while minimising the resources used.

scholarly journals In Situ Water Quality Measurements Using an Unmanned Aerial Vehicle (UAV) System

Water ◽  
2018 ◽  
Vol 10 (3) ◽  
pp. 264 ◽  
Author(s):  
◽  
◽  
◽  
Keyword(s):  
Water Quality ◽  
Open Source ◽  
Unmanned Aerial Vehicle ◽  
Quality Measurement ◽  
Quality Data ◽  
Homogeneous Distribution ◽  
Aerial Vehicle ◽  
Water Quality Measurement ◽  
Quality Measurements

An unmanned aerial vehicle-assisted water quality measurement system (UAMS) was developed for in situ surface water quality measurement. A custom-built hexacopter was equipped with an open-source electronic sensors platform to measure the temperature, electrical conductivity (EC), dissolved oxygen (DO), and pH of water. Electronic components of the system were coated with a water-resistant film, and the hexacopter was assembled with flotation equipment. The measurements were made at thirteen sampling waypoints within a 1.1 ha agricultural pond. Measurements made by an open-source multiprobe meter (OSMM) attached to the unmanned aerial vehicle (UAV) were compared to the measurements made by a commercial multiprobe meter (CMM). Percent differences between the OSMM and CMM measurements for DO, EC, pH, and temperature were 2.1 %, 3.43 %, 3.76 %, and <1.0 %, respectively. The collected water quality data was used to interpret the spatial distribution of measurements in the pond. The UAMS successfully made semiautonomous in situ water quality measurements from predetermined waypoints. Water quality maps showed homogeneous distribution of measured constituents across the pond. The concept presented in this paper can be applied to the monitoring of water quality in larger surface waterbodies.

The International Soil Moisture Network: an open-source data hosting facility in support of hydrological research

2020 ◽  
Author(s):  
Irene Himmelbauer ◽  
Daniel Aberer ◽  
Lukas Schremmer ◽  
Ivana Petrakovic ◽  
Luca Zappa ◽  
...  
Keyword(s):  
Quality Control ◽  
Soil Moisture ◽  
Open Source ◽  
Measurement Techniques ◽  
European Space Agency ◽  
Web Portal ◽  
Soil Moisture Data ◽  
In Situ Data ◽  
Spatial Coverage

&lt;p&gt;&lt;span&gt;The International Soil Moisture Network (ISMN, &lt;/span&gt;&lt;span&gt;&lt;/span&gt;&lt;span&gt;) is an international cooperation to establish and maintain an open-source global data hosting facility, providing in-situ soil moisture data as well as accompanying soil variables. This database is an essential means for validating and improving global satellite soil moisture products as well as land surface -, climate- , and hydrological models.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;For hydrological validation, the quality of used in-situ data is essential. The various independent local and regional in situ networks often do not follow standardized measurement techniques or protocols, collect their data in different units, at different depths and at various sampling rates. Besides, quality control is rarely applied and accessing the data is often not easy or feasible.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;The ISMN was created to address the above-mentioned issues. Within the ISMN, in situ soil moisture measurements (surface and sub-surface) are collected, harmonized in terms of units and sampling rates, advanced quality control is applied and the data is then stored in a database and made available online, where users can download it for free. &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Since its establishment in 2009 and with continuous financial support through the European Space Agency (ESA), the ISMN evolved into a widely used in situ data source growing continuously (in terms of data volume and users). Historic measurements starting in 1952 up to near&amp;#8211;real time are available through the ISMN web portal. Currently, the ISMN consists of 60 networks with more than 2500 stations spread all over the globe. With a &lt;/span&gt;&lt;span&gt;&lt;span&gt;steadily growing user community more than 3200 registered users strong&lt;/span&gt;&lt;/span&gt;&lt;span&gt; the value of the ISMN as a well-established and rich source of in situ soil moisture observations is well recognized. In fact, the ISMN is widely used in variety of scientific fields (e.g. climate, water, agriculture, disasters, ecosystems, weather, biodiversity, etc.). &lt;/span&gt;&lt;/p&gt;&lt;p&gt; &lt;span&gt;Our partner networks range from networks with a handful of stations to networks that are composed of over 400 sites, are supported with half yearly provider reports on statistical data about their network (e.g.: data download statistic, flagging statistic, etc.). &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;About 10&amp;#8217;000 datasets are available through the web portal. However, the spatial coverage of in situ observations still needs to be improved. For example, in Africa and South America only sparse data are available. Innovative ideas, such as the inclusion of soil moisture data from low cost sensors (GROW observatory ) collected by citizen scientists, holds the potential of closing this gap, thus providing new information and knowledge.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;In this session , we want to give an overview of the ISMN, its unique features and its support of data provider, who are willing to openly share their data, as well as hydrological researcher in need of freely available datasets.&lt;/span&gt;&lt;/p&gt;

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