Progammable Autonomous Water Sampler - PAWS
Description
Water chemistry conditions in freshwater and marine environments can change rapidly over both space and time. This is especially true in environments that are exposed to anthropogenic impacts such as sedimentation, sewage, runoff and other types of pollution. It is critical in studying these systems that researchers have tools capable of accurately collecting water samples across relevant spatial and temporal scales. Here we present an inexpensive, open-source Programmable Autonomous Water Sampler (PAWS) that is open source, compact, robust, highly adaptable and submersible to 40 meters. PAWS utilizes a time-integrated sampling approach by collecting a single sample in a syringe slowly over hours to days. Once analyzed, data from the sample collected represents and integrated average of water chemistry conditions over time. Due to its adaptability and low cost, PAWS has the potential to vastly improve the spatial and temporal coverage of many freshwater and marine studies.
Files
Institutions
Categories
Funding
NSF
Link Foundation
UC Santa Barbara Coastal Fund
Computational Modelling
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| Typical output | .csv |
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Patents
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| Patent Approval Date | 2022-08-31T00:00:00.000Z |
AM Sample Data Template
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| Date | 2022-09-01T00:00:00.000Z |
| Alloy Type | Ti-Base |
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AM Process Data Template
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| Process Date | 2022-09-01T00:00:00.000Z |
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Research Process Flow
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Software
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| Type | Public Domain |
| Contact link | neumann@ucsb.edu |
Publications
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| Publication Title | Progammable Autonomous Water Sampler - PAWS |
| Citation | n/a |
| Authors | Kyle Neumann, UC Santa Barbara |
MURI/AUSMURI University
| User Name | neumann@ucsb.edu |
| neumann@ucsb.edu | |
| University | University of California, Santa Barbara |
| Address | Santa Barbara, CA 93106 |
| Acknowledgement | This research was sponsored by grants and fellowships from the National Science Foundation, The Link Foundation, and the UC Santa Barbara Coastal Fund |
Hardware
| Available Hardware | Progammable Autonomous Water Sampler - PAWS |
| Accessibility | public use |
| Contact link | neumann@ucsb.edu |
Ex-situ Characterization Data Template
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In-situ Characterization Data Template
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