Linear Programming Model to Optimize Water Supply and Cropping area for Irrigation: A Case Study for Kalihati

1
Hasan Symum
Hasan Symum
2
Mohamad F. Ahmed
Mohamad F. Ahmed
1 Florida State University

Send Message

To: Author

GJRE Volume 15 Issue G2

Article Fingerprint

ReserarchID

O1B17

Linear Programming Model to Optimize Water Supply and Cropping area for Irrigation: A Case Study for Kalihati Banner
  • English
  • Afrikaans
  • Albanian
  • Amharic
  • Arabic
  • Armenian
  • Azerbaijani
  • Basque
  • Belarusian
  • Bengali
  • Bosnian
  • Bulgarian
  • Catalan
  • Cebuano
  • Chichewa
  • Chinese (Simplified)
  • Chinese (Traditional)
  • Corsican
  • Croatian
  • Czech
  • Danish
  • Dutch
  • Esperanto
  • Estonian
  • Filipino
  • Finnish
  • French
  • Frisian
  • Galician
  • Georgian
  • German
  • Greek
  • Gujarati
  • Haitian Creole
  • Hausa
  • Hawaiian
  • Hebrew
  • Hindi
  • Hmong
  • Hungarian
  • Icelandic
  • Igbo
  • Indonesian
  • Irish
  • Italian
  • Japanese
  • Javanese
  • Kannada
  • Kazakh
  • Khmer
  • Korean
  • Kurdish (Kurmanji)
  • Kyrgyz
  • Lao
  • Latin
  • Latvian
  • Lithuanian
  • Luxembourgish
  • Macedonian
  • Malagasy
  • Malay
  • Malayalam
  • Maltese
  • Maori
  • Marathi
  • Mongolian
  • Myanmar (Burmese)
  • Nepali
  • Norwegian
  • Pashto
  • Persian
  • Polish
  • Portuguese
  • Punjabi
  • Romanian
  • Russian
  • Samoan
  • Scots Gaelic
  • Serbian
  • Sesotho
  • Shona
  • Sindhi
  • Sinhala
  • Slovak
  • Slovenian
  • Somali
  • Spanish
  • Sundanese
  • Swahili
  • Swedish
  • Tajik
  • Tamil
  • Telugu
  • Thai
  • Turkish
  • Ukrainian
  • Urdu
  • Uzbek
  • Vietnamese
  • Welsh
  • Xhosa
  • Yiddish
  • Yoruba
  • Zulu

In this paper, an optimization model was formulated to maximize profit from cultivation while satisfying several factors like cropping area, irrigation water supply, cropping cycle, market demand. The model was applied at Kalihati, Tangail, Bangladesh for the Agricultural year 2012-2013. The cropping area available at the location was 17750 hectors and maximum irrigation water available was 1267983700 cubic meter. The crops selected for the model were most traditional for the studied area and produced in large proportions compared to others. The model provided optimum value for cropping area and irrigation water depth that maximize the objective function.

7 Cites in Articles

References

  1. (2000). Bangladesh: Climate Change and Sustainable Development.
  2. Nasimatanveer Chowdhury Irrigation Institutions of Bangladesh: Some Lessons.
  3. J Frizzone,R Coelho,D Dourado-Neto,R Soliani (1997). Linear programming model to optimize the water resource use in irrigation projects: an application to the Senator Nilo Coelho Project.
  4. Khadezatul Kubra,M Rofekuggaman,Md. Siddiki,Rebeka Sultana,Jakaria Onik,Md. Siddik (2024). Assessing the Growth Response of Gimakalmi (Ipomoea Aquatica) under Alternative Wetting and Drying (AWD) System as Influenced by Plant Growth Regulator (PGRs) Application in the Rooftop Garden.
  5. C Fortaleza (2005). OtimizaçãoEconômica Da ExploraçãoAgrícola Para O Distrito De IrrigaçãoBaixoAcaraú-Ce, UtilizandoModelo De Programação Linear.
  6. C Brouwer,M &heibloem (1986). Irrigation water management: Irrigation water needs.
  7. Md. Haque,Md. Asad,Muddassir Mahmud,Muhammad Islam,Md. Islam,Md. Akanda,Sm Reza (1991). Adenoid Hypertrophy: Correlation between Clinical and Radiological Findings.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

Hasan Symum. 2015. \u201cLinear Programming Model to Optimize Water Supply and Cropping area for Irrigation: A Case Study for Kalihati\u201d. Global Journal of Research in Engineering - G: Industrial Engineering GJRE-G Volume 15 (GJRE Volume 15 Issue G2): .

Download Citation

Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords
Classification
GJRE-G Classification: FOR Code: 290502p
Version of record

v1.2

Issue date

July 14, 2015

Language

English

Experiance in AR

The methods for personal identification and authentication are no exception.

Read in 3D

The methods for personal identification and authentication are no exception.

Article Matrices
Total Views: 4176
Total Downloads: 2115
2026 Trends
Research Identity (RIN)
Related Research

Published Article

In this paper, an optimization model was formulated to maximize profit from cultivation while satisfying several factors like cropping area, irrigation water supply, cropping cycle, market demand. The model was applied at Kalihati, Tangail, Bangladesh for the Agricultural year 2012-2013. The cropping area available at the location was 17750 hectors and maximum irrigation water available was 1267983700 cubic meter. The crops selected for the model were most traditional for the studied area and produced in large proportions compared to others. The model provided optimum value for cropping area and irrigation water depth that maximize the objective function.

Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]
×

This Page is Under Development

We are currently updating this article page for a better experience.

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

Quote and Order Details

Contact Person

Invoice Address

Notes or Comments

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

Linear Programming Model to Optimize Water Supply and Cropping area for Irrigation: A Case Study for Kalihati

Hasan Symum
Hasan Symum Florida State University
Mohamad F. Ahmed
Mohamad F. Ahmed

Research Journals