Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
This resource contains content types with files that need to be updated to match with metadata changes. Show content type files that need updating.
Assessment of a vertical high-resolution distributed-temperaturesensing system in a shallow thermohaline environment
Authors: |
|
|
---|---|---|
Owners: |
|
This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. |
Type: | Resource | |
Storage: | The size of this resource is 1.4 MB | |
Created: | Apr 01, 2018 at 6:42 p.m. | |
Last updated: | Apr 09, 2018 at 6:14 p.m. | |
Citation: | See how to cite this resource |
Sharing Status: | Public |
---|---|
Views: | 1860 |
Downloads: | 43 |
+1 Votes: | Be the first one to this. |
Comments: | 2 comments |
Abstract
In shallow thermohaline-driven lakes it is important to measure temperature on fine spatial and temporal scales to detect stratification or different hydrodynamic regimes. Raman spectra distributed temperature sensing (DTS) is an approach available to provide high spatial and temporal temperature resolution. A vertical high-resolution DTS system was constructed to overcome the problems of typical methods used in the past, i.e., without disturbing the water column, and with resistance to corrosive environments. This paper describes a method to quantitatively assess accuracy, precision and other limitations of DTS systems tom fully utilize the capacity of this technology, with a focus on vertical high-resolution to measure temperatures in shallow thermohaline environments. It also presents a new method to manually calibrate temperatures along the optical fiber achieving significant improved resolution. The vertical highresolution DTS system is used to monitor the thermal behavior of a salt-gradient solar pond, which is an engineered shallow thermohaline system that allows collection and storage of solar energy for a long period of time. The vertical high-resolution DTS system monitors the temperature profile each 1.1 cm vertically and in time averages as small as 10 s. Temperature resolution as low as 0.035 ◦C is obtained when the data are collected at 5-min intervals.
Raw project data is available by contacting ctemps@unr.edu
Subject Keywords
Content
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
Samuel Pratt 5 years, 9 months ago
It is really important to measure temperature on fine spatial.
Replyhttps://spanishdictionary.cc/
Bryan Ruffin 5 years, 4 months ago
I think this is one of the best blogs for me because this is really helpful for me. Thanks for sharing this valuable information for free
Replyhttps://fireboyand-watergirl.com/
New Comment