IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v158y2015icp209-212.html
   My bibliography  Save this article

Water temperature in irrigation return flow from the Upper Snake Rock watershed

Author

Listed:
  • Bjorneberg, David L.

Abstract

The temperature of water can increase as it flows in irrigation canals, ditches and furrow irrigated fields, potentially increasing the temperature of irrigation return flow water. The objective of this study was to compare water temperature of irrigation return flow with the irrigation water diverted from the Snake River. Water temperature was measured weekly in the main irrigation canal and 23 return flow streams from 2005 to 2008 in the Upper Snake Rock (USR) watershed in Southern Idaho, USA. The USR is an 82,000ha watershed with about 60% of the crop land surface irrigated and the remaining area sprinkler irrigated. Median annual water temperatures in irrigation return flow streams were not greater than the water diverted from the river, suggesting that water temperature does not increase as water flowed through the canal system and furrow irrigated fields. Water in 7 of the 13 return flow streams that received flow from subsurface drains had significantly lower temperatures than the main canal in at least two years of the four years. Median water temperature in July in seven return flow streams was also lower than the main canal. Results of this study indicate that water can be diverted from a river for irrigation without increasing the temperature of the irrigation return flow.

Suggested Citation

  • Bjorneberg, David L., 2015. "Water temperature in irrigation return flow from the Upper Snake Rock watershed," Agricultural Water Management, Elsevier, vol. 158(C), pages 209-212.
    • Handle: RePEc:eee:agiwat:v:158:y:2015:i:c:p:209-212
    DOI: 10.1016/j.agwat.2015.05.013
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377415300044
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2015.05.013?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Qingshui Lu & Shangzhen Liang & Xinliang Xu, 2018. "Classification and Estimation of Irrigation Waters Based on Remote Sensing Images: Case Study in Yucheng City (China)," Sustainability, MDPI, vol. 10(10), pages 1-12, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agiwat:v:158:y:2015:i:c:p:209-212. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.