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Influence of mulched drip irrigation on landscape scale evapotranspiration from farmland in an arid area

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  • Zhang, Zhenyu
  • Li, Xiaoyu
  • Liu, Lijuan
  • Wang, Yugang
  • Li, Yan

Abstract

Water-saving irrigation measures in arid areas affect evapotranspiration (ET) processes while conserving water. Mulched drip irrigation is considered the most efficient irrigation method because it distributes water uniformly in the soil, restricts deep percolation, and minimizes unproductive evaporation from soil. The effect of mulched drip irrigation on farmland ET during the growing season at a landscape scale remains unclear, despite being vital for developing optimal water resource management strategies in arid areas. To compare the effects of mulched drip irrigation and mulched border irrigation on ET, based on Landsat satellite imagery (2007–2009 with mulched border irrigation, and 2014–2016 with mulched drip irrigation), an improved Surface Energy Balance Algorithm for Land (SEBAL) model was used to evaluate ET for the two periods of an oasis at Sangong River Basin in the arid region of Northwest China. The results show that daily ET rates from farmland managed under mulched drip irrigation were on average 0.2–1 mm.d−1 higher than under mulched border irrigation between June and August. Correspondingly, the net radiation flux (R) increased 73.32 W·m-2 on average, and R was found to be the main determinant of the ET differences. Meanwhile, the average land surface albedo decreased by 20%, and negatively correlated with R (P < 0.05), indicating that the land surface albedo was the main factor affecting R. Furthermore, the Normalized Difference Vegetation Index (NDVI) exhibited a significant correlation with land surface albedo. More importantly, the Temperature–Vegetation Dryness Index (TVDI) under mulched drip irrigation was found to be approximately 21% lower than that under mulched border irrigation, indicating that the soil moisture conditions of the farmland under mulched drip irrigation was significantly improved compared to mulched border irrigation. Namely, less water stress resulted in better developed canopy of the crops, which in turn captured more radiation and thus increased ET. In the end, the observed increases in landscape-scale ET under mulched drip irrigation in arid area resulted from enhanced productivity of the crops due to lessened drought stress.

Suggested Citation

  • Zhang, Zhenyu & Li, Xiaoyu & Liu, Lijuan & Wang, Yugang & Li, Yan, 2020. "Influence of mulched drip irrigation on landscape scale evapotranspiration from farmland in an arid area," Agricultural Water Management, Elsevier, vol. 230(C).
    • Handle: RePEc:eee:agiwat:v:230:y:2020:i:c:s037837741931265x
    DOI: 10.1016/j.agwat.2019.105953
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    as
    1. Samarasinghe, G. B., 2003. "Growth and yields of Sri Lanka's major crops interpreted from public domain satellites," Agricultural Water Management, Elsevier, vol. 58(2), pages 145-157, February.
    2. Justin Sheffield & Eric F. Wood & Michael L. Roderick, 2012. "Little change in global drought over the past 60 years," Nature, Nature, vol. 491(7424), pages 435-438, November.
    3. Qin, Shujing & Li, Sien & Kang, Shaozhong & Du, Taisheng & Tong, Ling & Ding, Risheng, 2016. "Can the drip irrigation under film mulch reduce crop evapotranspiration and save water under the sufficient irrigation condition?," Agricultural Water Management, Elsevier, vol. 177(C), pages 128-137.
    4. Feng, Yu & Hao, Weiping & Gao, Lili & Li, Haoru & Gong, Daozhi & Cui, Ningbo, 2019. "Comparison of maize water consumption at different scales between mulched and non-mulched croplands," Agricultural Water Management, Elsevier, vol. 216(C), pages 315-324.
    5. Thomas F. Stocker & Christoph C. Raible, 2005. "Water cycle shifts gear," Nature, Nature, vol. 434(7035), pages 830-833, April.
    6. Marc G. Kramer & Oliver A. Chadwick, 2018. "Climate-driven thresholds in reactive mineral retention of soil carbon at the global scale," Nature Climate Change, Nature, vol. 8(12), pages 1104-1108, December.
    7. Chen, Zhijun & Sun, Shijun & Zhu, Zhenchuang & Jiang, Hao & Zhang, Xudong, 2019. "Assessing the effects of plant density and plastic film mulch on maize evaporation and transpiration using dual crop coefficient approach," Agricultural Water Management, Elsevier, vol. 225(C).
    8. Muhammad Umair & Tabassum Hussain & Hanbing Jiang & Ayesha Ahmad & Jiawei Yao & Yongqing Qi & Yucui Zhang & Leilei Min & Yanjun Shen, 2019. "Water-Saving Potential of Subsurface Drip Irrigation For Winter Wheat," Sustainability, MDPI, vol. 11(10), pages 1-15, May.
    9. Zhang, You-Liang & Wang, Feng-Xin & Shock, Clinton Cleon & Yang, Kai-Jing & Kang, Shao-Zhong & Qin, Jing-Tao & Li, Si-En, 2017. "Influence of different plastic film mulches and wetted soil percentages on potato grown under drip irrigation," Agricultural Water Management, Elsevier, vol. 180(PA), pages 160-171.
    10. Rahimzadegan, Majid & Janani, AdelehalSadat, 2019. "Estimating evapotranspiration of pistachio crop based on SEBAL algorithm using Landsat 8 satellite imagery," Agricultural Water Management, Elsevier, vol. 217(C), pages 383-390.
    11. Li, Meng & Du, Yingji & Zhang, Fucang & Bai, Yungang & Fan, Junliang & Zhang, Jianghui & Chen, Shaoming, 2019. "Simulation of cotton growth and soil water content under film-mulched drip irrigation using modified CSM-CROPGRO-cotton model," Agricultural Water Management, Elsevier, vol. 218(C), pages 124-138.
    12. Yang, Kaijing & Wang, Fengxin & Shock, Clinton C. & Kang, Shaozhong & Huo, Zailin & Song, Na & Ma, Dan, 2017. "Potato performance as influenced by the proportion of wetted soil volume and nitrogen under drip irrigation with plastic mulch," Agricultural Water Management, Elsevier, vol. 179(C), pages 260-270.
    13. Liu, Haijun & Wang, Xuming & Zhang, Xian & Zhang, Liwei & Li, Yan & Huang, Guanhua, 2017. "Evaluation on the responses of maize (Zea mays L.) growth, yield and water use efficiency to drip irrigation water under mulch condition in the Hetao irrigation District of China," Agricultural Water Management, Elsevier, vol. 179(C), pages 144-157.
    14. Blonquist Jr., J.M. & Allen, R.G. & Bugbee, B., 2010. "An evaluation of the net radiation sub-model in the ASCE standardized reference evapotranspiration equation: Implications for evapotranspiration prediction," Agricultural Water Management, Elsevier, vol. 97(7), pages 1026-1038, July.
    15. Naveen-Gupta, & Eberbach, P.L. & Humphreys, E. & Balwinder-Singh, & Sudhir-Yadav, & Kukal, S.S., 2019. "Estimating soil evaporation in dry seeded rice and wheat crops after wetting events," Agricultural Water Management, Elsevier, vol. 217(C), pages 98-106.
    16. Singh, Avinash Kumar & Dubey, O.P. & Ghosh, S.K., 2016. "Irrigation scheduling using intervention of Geomatics tools—A case study of Khedli minor," Agricultural Water Management, Elsevier, vol. 177(C), pages 454-460.
    17. Yang, Yanmin & Zhou, Xinyao & Yang, Yonghui & Bi, Shaojie & Yang, Xihua & Liu, De Li, 2018. "Evaluating water-saving efficiency of plastic mulching in Northwest China using remote sensing and SEBAL," Agricultural Water Management, Elsevier, vol. 209(C), pages 240-248.
    18. Ibragimov, Nazirbay & Evett, Steven R. & Esanbekov, Yusupbek & Kamilov, Bakhtiyor S. & Mirzaev, Lutfullo & Lamers, John P.A., 2007. "Water use efficiency of irrigated cotton in Uzbekistan under drip and furrow irrigation," Agricultural Water Management, Elsevier, vol. 90(1-2), pages 112-120, May.
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