IDEAS home Printed from https://ideas.repec.org/a/abq/ijist1/v4y2022i2p416-424.html
   My bibliography  Save this article

Assessment of Water Stress in Rice Fields Incorporating Environmental Parameters

Author

Listed:
  • Muhammad Kamran*, Sajid Rasheed Ahmad,Khurram Chohan,Azeem Akhtar, Amna Hassan, Rao Mansoor Ali Khan

    (University of the Punjab PU · College of Earth and Environment sciences. Government College University, Lahore. Department of Space Science University of the Punjab Lahore. The Islamia University of Bahawalpur. University of Minnesota USA)

Abstract

Rice is considered as a major crop due to its demand globally. Pakistan is famous throughout the world to produce export quality rice which have healthy contribution in boosting the regional economy. Rice plant require plenty of water for its proper growth and development therefore, water conservation is significant to maintain water reserves for a sustainable future. The main objective of this study was to identify day-to-day availability of water in rice fields from Germination to Ripening (GTR) using Carnegie Ames Stanford Approach (CASA) model. CASA model incorporates real-time parameter e.g., temperature, pressure, extraterrestrial radiations, Leaf Area Index (LAI), vapor pressure and sunshine hours to compute net-shortwave radiations (Rns), net-longwave radiations (Rnl), net-radiations (Rn), actual incoming radiations (Rso), sensible heat flux (H), ground heat flux (Go) and finally the water stress (W). The averaged values of Rn, Rso, Rns, Rnl and H were computed as 206, 319, 178, 34 and 124 (wm-2) respectively for GTR. Total expected sunshine hours were 1584h but we could receive only 874 h during GTR due to “off and on” cloud activity. LAI and Go were observed in inverse relation to each other

Suggested Citation

  • Muhammad Kamran*, Sajid Rasheed Ahmad,Khurram Chohan,Azeem Akhtar, Amna Hassan, Rao Mansoor Ali Khan, 2022. "Assessment of Water Stress in Rice Fields Incorporating Environmental Parameters," International Journal of Innovations in Science & Technology, 50sea, vol. 4(2), pages 416-424, April.
    • Handle: RePEc:abq:ijist1:v:4:y:2022:i:2:p:416-424
    as

    Download full text from publisher

    File URL: https://journal.50sea.com/index.php/IJIST/article/view/118/627
    Download Restriction: no
    File URL: https://journal.50sea.com/index.php/IJIST/article/view/118
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Muhammad Farhan Saleem & Hania Arif & Hafiz Haroon Ahmad, 2021. "Estimation of relation between moisture content of soil and reflectivity index using GPS signals," International Journal of Innovations in Science & Technology, 50sea, vol. 3(3), pages 102-112, November.
    2. Syed Muhammad Hassan Raza & Syed Amer Mahmood, 2018. "Estimation of Net Rice Production through Improved CASA Model by Addition of Soil Suitability Constant (ħα)," Sustainability, MDPI, vol. 10(6), pages 1-21, May.
    3. Haseeb Younis, Muhammad Asad Arshed, Fawad ul Hassan, Maryam Khurshid, Hadia Ghassan, 2022. "Tomato Disease Classification using Fine-Tuned Convolutional Neural Network," International Journal of Innovations in Science & Technology, 50sea, vol. 4(1), pages 123-134, February.
    4. Muhammad Saifullah & Bilal Islam, 2019. "Estimation of Water Stress on Rice Crop Using Ecological Parameters," International Journal of Agriculture & Sustainable Development, 50sea, vol. 1(1), pages 17-29, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Awais Karamat & Abdul Rehman, 2019. "Estimation of net rice production for the fiscal year 2019 using historical datasets," International Journal of Agriculture & Sustainable Development, 50sea, vol. 1(2), pages 47-65, March.
    2. Ayesha Behzad & Usman Rafique, 2019. "Estimation of Net Primary Production of Rice Crop using CASA model in Nankana Sahib," International Journal of Agriculture & Sustainable Development, 50sea, vol. 1(1), pages 30-46, February.
    3. Muhammad Saifullah & Bilal Islam, 2019. "Estimation of Water Stress on Rice Crop Using Ecological Parameters," International Journal of Agriculture & Sustainable Development, 50sea, vol. 1(1), pages 17-29, January.
    4. Syeda Areeba Gillani & Saif ul Rehman, 2019. "Appraisal of Urban Heat Island over Gujranwala and its Environmental Impact Assessment using Satellite Imagery (1995-2016)," International Journal of Innovations in Science & Technology, 50sea, vol. 1(1), pages 1-14, January.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:abq:ijist1:v:4:y:2022:i:2:p:416-424. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Iqra Nazeer (email available below). General contact details of provider: .

    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.