Estimation of Crop Water Requirement and Irrigation Scheduling of Rice in Southeastern Region of Bangladesh Using FAO-CROPWAT 8.0

  • Conference paper
  • First Online:
Advances in Civil Engineering

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 184))

Abstract

Water resource is scarce in most of the areas of Bangladesh during dry period due to changing climate impact. The shortage of water resources is endangering the recently achieved self-sufficiency of food production of Bangladesh. Thus, further research is necessary to increase water use efficiency and preserve the e-flow of rivers during the dry season while sustaining the stability of food production even at low usable water supply. The study was conducted to estimate irrigation requirements and irrigation scheduling for rice crop. The study area involved four districts (Cumilla, Brahmanbaria, Chandpur, and Feni) of the southeastern region of Bangladesh since 46.92% of the total land area is used for rice cultivation in this region. FAO developed CROPWAT 8.0 model was adopted for estimating irrigation water requirement, effective rainfall, and irrigation scheduling during Aus, Aman, and Boro rice. Historical climatic data including temperature, humidity, sunshine hours, wind speed (1981–2010) from three weather stations, and rainfall data from four rainfall stations were used as input to the model. The model calculated reference evapotranspiration (ETo) using the FAO Penman–Monteith method and USDA soil conservation method was used to find effective rainfall. Results showed that, Boro rice required the maximum irrigation than other seasons due to less seasonal rainfall. T. Aus rice estimated irrigation water in its early growing period, whereas T. Aman rice estimated it in later growing period because of ununiformed rainfall distribution. Boro rice demanded irrigation in its whole growing period in each study location. Practically, farmers applied more irrigation water to their rice field than the model estimated amount. This was the result of lack of farmers’ knowledge about water management technologies. This study found the model suitable for generating irrigation schedule with the necessary split application dates without yield reduction. CROPWAT model has the potentiality to make appropriate irrigation scheduling and save irrigation water. It will save huge energy, cost of production and reduces pressure on water sources.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
GBP 19.95
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
GBP 159.50
Price includes VAT (United Kingdom)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
GBP 199.99
Price includes VAT (United Kingdom)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info
Hardcover Book
GBP 199.99
Price includes VAT (United Kingdom)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Sharma B, Molden D, Cook S (2015) Water use efficiency in agriculture: measurement, current situation and trends. Manag water Fertil Sustain Agric Intensif 39–64

    Google Scholar 

  2. Smith M (1991) CROPWAT: Manual and guidelines. FAO UN, Rome

    Google Scholar 

  3. Karuppanan S (2018) Determination of Water Requirements of Main crops in the Tank Irrigation Command area using CROPWAT 8 . 0 Determination of Water Requirements of Main crops in the Tank Irrigation Command area using

    Google Scholar 

  4. Surendran U, Sushanth CM, Mammen G, Joseph EJ (2015) Modelling the Crop Water Requirement Using FAO-CROPWAT and Assessment of Water Resources for Sustainable Water Resource Management: A Case Study in Palakkad District of Humid Tropical Kerala, India. Aquat Procedia 4:1211–1219. https://doi.org/10.1016/j.aqpro.2015.02.154

    Article  Google Scholar 

  5. Barrow CJ (2016) Water resources and agricultural development in the tropics. Routledge

    Book  Google Scholar 

  6. International Rice Research Institute (IRRI): Annual Report 2012,International Rice Research Institute (IRRI) (2012). DAPO Box 7777, Metro Manila, Philippines

    Google Scholar 

  7. Guerra LC (1998) Producing more rice with less water from irrigated systems. IWMI

    Google Scholar 

  8. Dawe DC, Hardy B, Hettel GP (2002) Rice Almanac: source book for the most important economic activity on earth. Rice Alm source B Most important Econ Act earth. https://doi.org/10.1079/9780851996363.0000

    Article  Google Scholar 

  9. Boutraa T (2010) Improvement of water use efficiency in irrigated agriculture: a review. J Agron 9:1–8

    Article  Google Scholar 

  10. Bangladesh Bureau of Statistics (BBS) (2017) Yearbook of Agricultural Statistics. People’s Republic Bangladesh, Stat Informatics Div Ministry of Planning, Govt, p 360

    Google Scholar 

  11. Bridges M (2014) Soil Texture. Encycl. Environ. Chang. 1028–1030

    Google Scholar 

  12. Bangladesh Rice Knowledge Bank (BRK), Bangladesh Rice Research Institute (BRRI), Gazipur

    Google Scholar 

  13. Hossain M, Yesmin S, Maniruzzaman M, Biswas J (2017) Irrigation Scheduling of Rice (Oryza sativa L.) Using CROPWAT Model in the Western Region of Bangladesh. Agric 15:19–27. https://doi.org/10.3329/agric.v15i1.33425

    Article  Google Scholar 

  14. Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56. Fao, Rome 300:D05109

    Google Scholar 

  15. Pongpinyopap S, Mungcharoen T (2012) Comparative Study of Green Water Footprint Estimation Methods for Thailand: A Case Study of Cassava-based Ethanol. Environ Nat Resour 10:66–72

    Google Scholar 

  16. Land, FAO (1997) Irrigation potential in Africa; A basin approach. 4

    Google Scholar 

Download references

Acknowledgements

We thank Dr. Md. Ruhul Amin for his continuous guidance, support, and mentorship. We also thank Waqar Hassan Khan for hel** with data analysis using Python.

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Amin, R.A., Hossain, M.B., Yunus, A. (2022). Estimation of Crop Water Requirement and Irrigation Scheduling of Rice in Southeastern Region of Bangladesh Using FAO-CROPWAT 8.0. In: Arthur, S., Saitoh, M., Pal, S.K. (eds) Advances in Civil Engineering. Lecture Notes in Civil Engineering, vol 184. Springer, Singapore. https://doi.org/10.1007/978-981-16-5547-0_40

Download citation

  • DOI: https://doi.org/10.1007/978-981-16-5547-0_40

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-5546-3

  • Online ISBN: 978-981-16-5547-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Navigation