IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v212y2019icp317-327.html
   My bibliography  Save this article

Impacts of the channel/barrier effect and three-dimensional climate—A case study of rice water requirement and irrigation quota in Yunnan, China

Author

Listed:
  • Han, Huanhao
  • Cui, Yuanlai
  • Huang, Ying
  • Wang, Shupeng
  • Duan, Qicai
  • Zhang, Lei

Abstract

Yunnan is a large rice-growing province in China that is situated in a low-latitude plateau area. In this province, the channel/barrier effect and three-dimensional climate play prominent roles and significantly influence the rice water requirement (ETc) and irrigation quota (IQ), while the research about the influence mechanism and results is lacking. We estimated the rice ETc and IQ of different hydrological years based on the experimental data from six areas of mid-season rice and the single crop efficient approach recommended by FAO-56. The contour maps were drawn with GIS, and the spatial distribution of the rice ETc and IQ under the influence of the channel/barrier effect and three-dimensional climate were analyzed. The results showed that high water ETc and IQ of rice were distributed in the hot, dry river valley area. The rice ETc was the smallest in northwestern Yunnan, and the IQ was the smallest in southern Yunnan. The ETc and IQ of rice were divided into several intervals by mountains and valleys, and varied largely among different channels and little within one channel. The three-dimensional climate results in the abrupt changes of ETc and IQ, The leading meteorological factors causing the abrupt changes were different, and there were also complex correlations between these meteorological factors. Taken together, temperature and rainfall were the most critical elements in the three-dimensional climate. The results of this study illustrated the regularity and inherent mechanism of the rice ETc and IQ under the influences of the channel/barrier effect and three-dimensional climate, providing certain references for the analyses and calculation of the rice ETc and IQ in similar circumstances.

Suggested Citation

  • Han, Huanhao & Cui, Yuanlai & Huang, Ying & Wang, Shupeng & Duan, Qicai & Zhang, Lei, 2019. "Impacts of the channel/barrier effect and three-dimensional climate—A case study of rice water requirement and irrigation quota in Yunnan, China," Agricultural Water Management, Elsevier, vol. 212(C), pages 317-327.
    • Handle: RePEc:eee:agiwat:v:212:y:2019:i:c:p:317-327
    DOI: 10.1016/j.agwat.2018.09.017
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037837741831374X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2018.09.017?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.

    References listed on IDEAS

    as
    1. Xu, Junzeng & Liu, Xiaoyin & Yang, Shihong & Qi, Zhiming & Wang, Yijiang, 2017. "Modeling rice evapotranspiration under water-saving irrigation by calibrating canopy resistance model parameters in the Penman-Monteith equation," Agricultural Water Management, Elsevier, vol. 182(C), pages 55-66.
    2. De Silva, C.S. & Weatherhead, E.K. & Knox, J.W. & Rodriguez-Diaz, J.A., 2007. "Predicting the impacts of climate change--A case study of paddy irrigation water requirements in Sri Lanka," Agricultural Water Management, Elsevier, vol. 93(1-2), pages 19-29, October.
    3. Kashyap, P. S. & Panda, R. K., 2001. "Evaluation of evapotranspiration estimation methods and development of crop-coefficients for potato crop in a sub-humid region," Agricultural Water Management, Elsevier, vol. 50(1), pages 9-25, August.
    4. Ye, Qing & Yang, Xiaoguang & Dai, Shuwei & Chen, Guangsheng & Li, Yong & Zhang, Caixia, 2015. "Effects of climate change on suitable rice cropping areas, cropping systems and crop water requirements in southern China," Agricultural Water Management, Elsevier, vol. 159(C), pages 35-44.
    5. Tabbal, D. F. & Bouman, B. A. M. & Bhuiyan, S. I. & Sibayan, E. B. & Sattar, M. A., 2002. "On-farm strategies for reducing water input in irrigated rice; case studies in the Philippines," Agricultural Water Management, Elsevier, vol. 56(2), pages 93-112, July.
    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. Yu, Qianan & Cui, Yuanlai, 2022. "Improvement and testing of ORYZA model water balance modules for alternate wetting and drying irrigation," Agricultural Water Management, Elsevier, vol. 271(C).
    2. Han, Huanhao & Gao, Rong & Cui, Yuanlai & Gu, Shixiang, 2021. "Transport and transformation of water and nitrogen under different irrigation modes and urea application regimes in paddy fields," Agricultural Water Management, Elsevier, vol. 255(C).

    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. Ding, Yimin & Wang, Weiguang & Song, Ruiming & Shao, Quanxi & Jiao, Xiyun & Xing, Wanqiu, 2017. "Modeling spatial and temporal variability of the impact of climate change on rice irrigation water requirements in the middle and lower reaches of the Yangtze River, China," Agricultural Water Management, Elsevier, vol. 193(C), pages 89-101.
    2. Zhang, Qingsong & Sun, Jiahao & Zhang, Guangxin & Liu, Xuemei & Wu, Yanfeng & Sun, Jingxuan & Hu, Boting, 2023. "Spatiotemporal dynamics of water supply–demand patterns under large-scale paddy expansion: Implications for regional sustainable water resource management," Agricultural Water Management, Elsevier, vol. 285(C).
    3. Rowshon, M.K. & Dlamini, N.S. & Mojid, M.A. & Adib, M.N.M. & Amin, M.S.M. & Lai, S.H., 2019. "Modeling climate-smart decision support system (CSDSS) for analyzing water demand of a large-scale rice irrigation scheme," Agricultural Water Management, Elsevier, vol. 216(C), pages 138-152.
    4. Hong, Eun-Mi & Nam, Won-Ho & Choi, Jin-Yong & Pachepsky, Yakov A., 2016. "Projected irrigation requirements for upland crops using soil moisture model under climate change in South Korea," Agricultural Water Management, Elsevier, vol. 165(C), pages 163-180.
    5. Guo, Erjing & Yang, Xiaoguang & Li, Tao & Zhang, Tianyi & Wilson, Lloyed Ted & Wang, Xiaoyu & Zheng, Dongxiao & Yang, Yubin, 2021. "Does ENSO strongly affect rice yield and water application in Northeast China?," Agricultural Water Management, Elsevier, vol. 245(C).
    6. Ding, Yimin & Wang, Weiguang & Zhuang, Qianlai & Luo, Yufeng, 2020. "Adaptation of paddy rice in China to climate change: The effects of shifting sowing date on yield and irrigation water requirement," Agricultural Water Management, Elsevier, vol. 228(C).
    7. Tamiru Lemi & Fekadu Hailu, 2019. "Effects of Climate Change Variability on Agricultural Productivity," International Journal of Environmental Sciences & Natural Resources, Juniper Publishers Inc., vol. 17(1), pages 14-20, February.
    8. Phogat, V. & Cox, J.W. & Šimůnek, J., 2018. "Identifying the future water and salinity risks to irrigated viticulture in the Murray-Darling Basin, South Australia," Agricultural Water Management, Elsevier, vol. 201(C), pages 107-117.
    9. F. Castro-Llanos & G. Hyman & J. Rubiano & J. Ramirez-Villegas & H. Achicanoy, 2019. "Climate change favors rice production at higher elevations in Colombia," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(8), pages 1401-1430, December.
    10. Qu, Zhaoming & Chen, Qi & Feng, Haojie & Hao, Miao & Niu, Guoliang & Liu, Yanli & Li, Chengliang, 2022. "Interactive effect of irrigation and blend ratio of controlled release potassium chloride and potassium chloride on greenhouse tomato production in the Yellow River Basin of China," Agricultural Water Management, Elsevier, vol. 261(C).
    11. Manel Ben Hassen & Federica Monaco & Arianna Facchi & Marco Romani & Giampiero Valè & Guido Sali, 2017. "Economic Performance of Traditional and Modern Rice Varieties under Different Water Management Systems," Sustainability, MDPI, vol. 9(3), pages 1-10, February.
    12. Zhang, Xifeng & Zhang, Lanhui & He, Chansheng & Li, Jinlin & Jiang, Yiwen & Ma, Libang, 2014. "Quantifying the impacts of land use/land cover change on groundwater depletion in Northwestern China – A case study of the Dunhuang oasis," Agricultural Water Management, Elsevier, vol. 146(C), pages 270-279.
    13. Ye, Qing & Yang, Xiaoguang & Dai, Shuwei & Chen, Guangsheng & Li, Yong & Zhang, Caixia, 2015. "Effects of climate change on suitable rice cropping areas, cropping systems and crop water requirements in southern China," Agricultural Water Management, Elsevier, vol. 159(C), pages 35-44.
    14. Senthilkumar, K. & Bindraban, P.S. & Thiyagarajan, T.M. & de Ridder, N. & Giller, K.E., 2008. "Modified rice cultivation in Tamil Nadu, India: Yield gains and farmers' (lack of) acceptance," Agricultural Systems, Elsevier, vol. 98(2), pages 82-94, September.
    15. Feng Huang & Baoguo Li, 2020. "What is the Redline Water Withdrawal for Crop Production in China?—Projection to 2030 Derived from the Past Twenty-Year Trajectory," Sustainability, MDPI, vol. 12(10), pages 1-14, May.
    16. Liu, Yujie & Luo, Yi, 2010. "A consolidated evaluation of the FAO-56 dual crop coefficient approach using the lysimeter data in the North China Plain," Agricultural Water Management, Elsevier, vol. 97(1), pages 31-40, January.
    17. Choudhury, B.U. & Singh, Anil Kumar & Pradhan, S., 2013. "Estimation of crop coefficients of dry-seeded irrigated rice–wheat rotation on raised beds by field water balance method in the Indo-Gangetic plains, India," Agricultural Water Management, Elsevier, vol. 123(C), pages 20-31.
    18. Muniandy, Josilva M. & Yusop, Zulkifli & Askari, Muhamad, 2016. "Evaluation of reference evapotranspiration models and determination of crop coefficient for Momordica charantia and Capsicum annuum," Agricultural Water Management, Elsevier, vol. 169(C), pages 77-89.
    19. Tong, Ling & Kang, Shaozhong & Zhang, Lu, 2007. "Temporal and spatial variations of evapotranspiration for spring wheat in the Shiyang river basin in northwest China," Agricultural Water Management, Elsevier, vol. 87(3), pages 241-250, February.
    20. Liang, Kaiming & Zhong, Xuhua & Huang, Nongrong & Lampayan, Rubenito M. & Pan, Junfeng & Tian, Ka & Liu, Yanzhuo, 2016. "Grain yield, water productivity and CH4 emission of irrigated rice in response to water management in south China," Agricultural Water Management, Elsevier, vol. 163(C), pages 319-331.

    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:212:y:2019:i:c:p:317-327. 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.