IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v43y2000i2p183-202.html
   My bibliography  Save this article

Distributed agro-hydrological modeling of an irrigation system in western Turkey

Author

Listed:
  • Droogers, P.
  • Bastiaanssen, W. G. M.
  • Beyazgul, M.
  • Kayam, Y.
  • Kite, G. W.
  • Murray-Rust, H.

Abstract

No abstract is available for this item.

Suggested Citation

  • Droogers, P. & Bastiaanssen, W. G. M. & Beyazgul, M. & Kayam, Y. & Kite, G. W. & Murray-Rust, H., 2000. "Distributed agro-hydrological modeling of an irrigation system in western Turkey," Agricultural Water Management, Elsevier, vol. 43(2), pages 183-202, March.
  • Handle: RePEc:eee:agiwat:v:43:y:2000:i:2:p:183-202
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378-3774(99)00055-4
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

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

    References listed on IDEAS

    as
    1. Molden, D., 1997. "Accounting for water use and productivity," IWMI Books, Reports H021374, International Water Management Institute.
    2. Molden, David J., 1997. "Accounting for water use and productivity," IWMI Books, International Water Management Institute, number 113623.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Minacapilli, M. & Iovino, M. & D'Urso, G., 2008. "A distributed agro-hydrological model for irrigation water demand assessment," Agricultural Water Management, Elsevier, vol. 95(2), pages 123-132, February.
    2. Li, Pei & Ren, Li, 2023. "Evaluating the differences in irrigation methods for winter wheat under limited irrigation quotas in the water-food-economy nexus in the North China Plain," Agricultural Water Management, Elsevier, vol. 289(C).
    3. Singh, Ajay, 2018. "Assessment of different strategies for managing the water resources problems of irrigated agriculture," Agricultural Water Management, Elsevier, vol. 208(C), pages 187-192.
    4. Singh, Uttam Kumar & Ren, Li & Kang, Shaozhong, 2010. "Simulation of soil water in space and time using an agro-hydrological model and remote sensing techniques," Agricultural Water Management, Elsevier, vol. 97(8), pages 1210-1220, August.
    5. Awada, Hassan & Di Prima, Simone & Sirca, Costantino & Giadrossich, Filippo & Marras, Serena & Spano, Donatella & Pirastru, Mario, 2022. "A remote sensing and modeling integrated approach for constructing continuous time series of daily actual evapotranspiration," Agricultural Water Management, Elsevier, vol. 260(C).
    6. Ren, Dongyang & Xu, Xu & Engel, Bernard & Huang, Quanzhong & Xiong, Yunwu & Huo, Zailin & Huang, Guanhua, 2019. "Hydrological complexities in irrigated agro-ecosystems with fragmented land cover types and shallow groundwater: Insights from a distributed hydrological modeling method," Agricultural Water Management, Elsevier, vol. 213(C), pages 868-881.
    7. Ines, Amor V.M. & Honda, Kiyoshi & Das Gupta, Ashim & Droogers, Peter & Clemente, Roberto S., 2006. "Combining remote sensing-simulation modeling and genetic algorithm optimization to explore water management options in irrigated agriculture," Agricultural Water Management, Elsevier, vol. 83(3), pages 221-232, June.
    8. Mandare, A.B. & Ambast, S.K. & Tyagi, N.K. & Singh, J., 2008. "On-farm water management in saline groundwater area under scarce canal water supply condition in the Northwest India," Agricultural Water Management, Elsevier, vol. 95(5), pages 516-526, May.
    9. Li, Xudong & Zhao, Yong & Xiao, Weihua & Yang, Mingzhi & Shen, Yanjun & Min, Leilei, 2017. "Soil moisture dynamics and implications for irrigation of farmland with a deep groundwater table," Agricultural Water Management, Elsevier, vol. 192(C), pages 138-148.
    10. Ines, Amor V. M. & Gupta, Ashim Das & Loof, Rainer, 2002. "Application of GIS and crop growth models in estimating water productivity," Agricultural Water Management, Elsevier, vol. 54(3), pages 205-225, April.
    11. Han, Congying & Zhang, Baozhong & Chen, He & Wei, Zheng & Liu, Yu, 2019. "Spatially distributed crop model based on remote sensing," Agricultural Water Management, Elsevier, vol. 218(C), pages 165-173.
    12. Shafiei, Mojtaba & Ghahraman, Bijan & Saghafian, Bahram & Davary, Kamran & Pande, Saket & Vazifedoust, Majid, 2014. "Uncertainty assessment of the agro-hydrological SWAP model application at field scale: A case study in a dry region," Agricultural Water Management, Elsevier, vol. 146(C), pages 324-334.
    13. Wang, Rong & Huang, Guanhua & Xu, Xu & Ren, Dongyang & Gou, Jiachao & Wu, Zhangsheng, 2022. "Significant differences in agro-hydrological processes and water productivity between canal- and well-irrigated areas in an arid region," Agricultural Water Management, Elsevier, vol. 267(C).
    14. Wang, Qingming & Huo, Zailin & Zhang, Liudong & Wang, Jianhua & Zhao, Yong, 2016. "Impact of saline water irrigation on water use efficiency and soil salt accumulation for spring maize in arid regions of China," Agricultural Water Management, Elsevier, vol. 163(C), pages 125-138.
    15. Ajay Singh & Sudhindra Panda, 2013. "Optimization and Simulation Modelling for Managing the Problems of Water Resources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(9), pages 3421-3431, July.
    16. Noory, H. & van der Zee, S.E.A.T.M. & Liaghat, A.-M. & Parsinejad, M. & van Dam, J.C., 2011. "Distributed agro-hydrological modeling with SWAP to improve water and salt management of the Voshmgir Irrigation and Drainage Network in Northern Iran," Agricultural Water Management, Elsevier, vol. 98(6), pages 1062-1070, April.
    17. Fu, Chong & Xue, Jing & Chen, Junfeng & Cui, Lihong & Wang, Hui, 2024. "Evaluating spatial and temporal variations of soil water, heat, and salt under autumn irrigation in the Hetao Irrigation District based on distributed SHAW model," Agricultural Water Management, Elsevier, vol. 293(C).
    18. Giorgio Baiamonte & Mario Minacapilli & Giuseppina Crescimanno, 2020. "Effects of Biochar on Irrigation Management and Water Use Efficiency for Three Different Crops in a Desert Sandy Soil," Sustainability, MDPI, vol. 12(18), pages 1-19, September.
    19. Jiang, Yao & Xu, Xu & Huang, Quanzhong & Huo, Zailin & Huang, Guanhua, 2015. "Assessment of irrigation performance and water productivity in irrigated areas of the middle Heihe River basin using a distributed agro-hydrological model," Agricultural Water Management, Elsevier, vol. 147(C), pages 67-81.
    20. Xue, Jing & Ren, Li, 2016. "Evaluation of crop water productivity under sprinkler irrigation regime using a distributed agro-hydrological model in an irrigation district of China," Agricultural Water Management, Elsevier, vol. 178(C), pages 350-365.
    21. Kumar, P. & Sarangi, A. & Singh, D.K. & Parihar, S.S. & Sahoo, R.N., 2015. "Simulation of salt dynamics in the root zone and yield of wheat crop under irrigated saline regimes using SWAP model," Agricultural Water Management, Elsevier, vol. 148(C), pages 72-83.

    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. Mohammad Alauddin & Upali A. Amarasinghe & Bharat R. Sharma, 2014. "Four decades of rice water productivity in Bangladesh: A spatio-temporal analysis of district level panel data," Economic Analysis and Policy, Elsevier, vol. 44(1), pages 51-64.
    2. Lee, Teang Shui & Haque, M. Aminul & Najim, M.M.M., 2005. "Scheduling the cropping calendar in wet-seeded rice schemes in Malaysia," Agricultural Water Management, Elsevier, vol. 71(1), pages 71-84, January.
    3. Barros, R. & Isidoro, D. & Aragüés, R., 2011. "Long-term water balances in La Violada irrigation district (Spain): I. Sequential assessment and minimization of closing errors," Agricultural Water Management, Elsevier, vol. 102(1), pages 35-45.
    4. Zamani, Omid & Azadi, Hossein & Mortazavi, Seyed Abolghasem & Balali, Hamid & Moghaddam, Saghi Movahhed & Jurik, Lubos, 2021. "The impact of water-pricing policies on water productivity: Evidence of agriculture sector in Iran," Agricultural Water Management, Elsevier, vol. 245(C).
    5. Li, Xiaolin & Tong, Ling & Niu, Jun & Kang, Shaozhong & Du, Taisheng & Li, Sien & Ding, Risheng, 2017. "Spatio-temporal distribution of irrigation water productivity and its driving factors for cereal crops in Hexi Corridor, Northwest China," Agricultural Water Management, Elsevier, vol. 179(C), pages 55-63.
    6. Venot, Jean-Philippe & Sharma, Bharat R. & Rao, K. V. G. K., 2008. "The lower Krishna Basin trajectory: relationships between basin development and downstream environmental degradation," IWMI Research Reports H041463, International Water Management Institute.
    7. Kang, Shaozhong & Hao, Xinmei & Du, Taisheng & Tong, Ling & Su, Xiaoling & Lu, Hongna & Li, Xiaolin & Huo, Zailin & Li, Sien & Ding, Risheng, 2017. "Improving agricultural water productivity to ensure food security in China under changing environment: From research to practice," Agricultural Water Management, Elsevier, vol. 179(C), pages 5-17.
    8. Zhang, Chao & Xie, Ziang & Wang, Qiaojuan & Tang, Min & Feng, Shaoyuan & Cai, Huanjie, 2022. "AquaCrop modeling to explore optimal irrigation of winter wheat for improving grain yield and water productivity," Agricultural Water Management, Elsevier, vol. 266(C).
    9. Mitter, Hermine & Schmid, Erwin, 2019. "Computing the economic value of climate information for water stress management exemplified by crop production in Austria," Agricultural Water Management, Elsevier, vol. 221(C), pages 430-448.
    10. Dennis Wichelns, 2015. "Water productivity and water footprints are not helpful in determining optimal water allocations or efficient management strategies," Water International, Taylor & Francis Journals, vol. 40(7), pages 1059-1070, November.
    11. Sandhu, Rupinder & Irmak, Suat, 2022. "Effects of subsurface drip-irrigated soybean seeding rates on grain yield, evapotranspiration and water productivity under limited and full irrigation and rainfed conditions," Agricultural Water Management, Elsevier, vol. 267(C).
    12. Ahmad, M.D. & Turral, H. & Nazeer, A., 2009. "Diagnosing irrigation performance and water productivity through satellite remote sensing and secondary data in a large irrigation system of Pakistan," Agricultural Water Management, Elsevier, vol. 96(4), pages 551-564, April.
    13. Cai, Ximing & Yang, Yi-Chen E. & Ringler, Claudia & Zhao, Jianshi & You, Liangzhi, 2011. "Agricultural water productivity assessment for the Yellow River Basin," Agricultural Water Management, Elsevier, vol. 98(8), pages 1297-1306, May.
    14. María Blanco & Benjamin Van Doorslaer & Wolfgang Britz & Heinz-Peter Witzke, 2012. "Exploring the feasibility of integrating water issues into the CAPRI model," JRC Research Reports JRC77058, Joint Research Centre.
    15. Ireneusz Cymes & Ewa Dragańska & Zbigniew Brodziński, 2022. "Potential Possibilities of Using Groundwater for Crop Irrigation in the Context of Climate Change," Agriculture, MDPI, vol. 12(6), pages 1-14, May.
    16. Liu, Junguo & Williams, Jimmy R. & Zehnder, Alexander J.B. & Yang, Hong, 2007. "GEPIC - modelling wheat yield and crop water productivity with high resolution on a global scale," Agricultural Systems, Elsevier, vol. 94(2), pages 478-493, May.
    17. Karam, F. & Saliba, R. & Skaf, S. & Breidy, J. & Rouphael, Y. & Balendonck, J., 2011. "Yield and water use of eggplants (Solanum melongena L.) under full and deficit irrigation regimes," Agricultural Water Management, Elsevier, vol. 98(8), pages 1307-1316, May.
    18. Bastiaanssen, W. G. M. & Chandrapala, L., 2003. "Water balance variability across Sri Lanka for assessing agricultural and environmental water use," Agricultural Water Management, Elsevier, vol. 58(2), pages 171-192, February.
    19. Ahmadi, Seyed Hamid & Andersen, Mathias N. & Plauborg, Finn & Poulsen, Rolf T. & Jensen, Christian R. & Sepaskhah, Ali Reza & Hansen, Søren, 2010. "Effects of irrigation strategies and soils on field grown potatoes: Yield and water productivity," Agricultural Water Management, Elsevier, vol. 97(11), pages 1923-1930, November.
    20. Haileslassie, Amare & Peden, Don & Gebreselassie, Solomon & Amede, Tilahun & Descheemaeker, Katrien, 2009. "Livestock water productivity in mixed crop-livestock farming systems of the Blue Nile basin: Assessing variability and prospects for improvement," Agricultural Systems, Elsevier, vol. 102(1-3), pages 33-40, October.

    More about this item

    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:eee:agiwat:v:43:y:2000:i:2:p:183-202. 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: 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.