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Variation of microorganisms in drip irrigation systems using high-sand surface water

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  • Zhou, Bo
  • Li, Yunkai
  • Xue, Song
  • Feng, Ji

Abstract

Using high-sand surface water in agricultural irrigation has become an alternative way to release groundwater stress. Although drip irrigation is considered as the most appropriate irrigation method for high-sand water application, as it is precise and controllable, it easily leads to emitter clogging. The clogging issue couldn’t be well controlled if merely focused on the sand size and concentration. Therefore, figuring out whether microorganisms significantly affect the clogging process is important for appropriate high-sand water utilization. Based on these, the phospholipid fatty acids (PLFAs) was applied as the biological indicator of the microorganisms, and an in-site drip irrigation experiment using eight types of flat emitters was carried out. The results indicated that there were more than 10 types of PLFAs in emitter clogging substances using high-sand water, brackish water and their 1:1 mixed water in volume. As PLFAs contents showed significant positive linear correlations with emitter clogging degree (CD) (R2>0.89, p<0.05), it demonstrated that microorganism variations directly affected emitter clogging process. Among the PLFAs obtained, Pseudomonas 16:0 and heavy pyrolysis hydrogen Bacillus 18:0 were the PLFAs those fully distributed during the clogging process, which occupied 66.0%–87.0% of the total contents of PLFAs, and they both displayed significant linear correlations with CD(R2>0.72, p<0.05). Therefore, they were considered as the critical bacteria to emitter clogging. Their competition and the effects on the other types of PLFAs determined the evolution and variation characteristics of the microorganism community, and the ecological parameters of microorganism community (including diversity, evenness and dominance indexes) all had significant quadratic patterns with CD (R2>0.56, p<0.05). Although mixing high-sand water and brackish water in equal volume reduced both the sediment and salinity in the water source, the PLFAs obviously increased and resulted in the more intense biological clogging process and thus enhanced the physical-chemical-biological coupling effects. Consequently, the operating cycle of mixed water treatment decreased by 8.9%–22.0%. The results in this paper aim to provide theoretical references to drip irrigation emitter clogging mechanism using high-sand surface water and to offer guidelines for appropriate high-sand water utilization in agriculture.

Suggested Citation

  • Zhou, Bo & Li, Yunkai & Xue, Song & Feng, Ji, 2019. "Variation of microorganisms in drip irrigation systems using high-sand surface water," Agricultural Water Management, Elsevier, vol. 218(C), pages 37-47.
  • Handle: RePEc:eee:agiwat:v:218:y:2019:i:c:p:37-47
    DOI: 10.1016/j.agwat.2019.02.038
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    References listed on IDEAS

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    1. Liu, Haijun & Huang, Guanhua, 2009. "Laboratory experiment on drip emitter clogging with fresh water and treated sewage effluent," Agricultural Water Management, Elsevier, vol. 96(5), pages 745-756, May.
    2. Bucks, D. A. & Nakayama, F. S. & Gilbert, R. G., 1979. "Trickle irrigation water quality and preventive maintenance," Agricultural Water Management, Elsevier, vol. 2(2), pages 149-162, June.
    3. Zhou, Bo & Wang, Tianzhi & Li, Yunkai & Bralts, Vincent, 2017. "Effects of microbial community variation on bio-clogging in drip irrigation emitters using reclaimed water," Agricultural Water Management, Elsevier, vol. 194(C), pages 139-149.
    4. Puig-Bargués, J. & Arbat, G. & Elbana, M. & Duran-Ros, M. & Barragán, J. & de Cartagena, F. Ramírez & Lamm, F.R., 2010. "Effect of flushing frequency on emitter clogging in microirrigation with effluents," Agricultural Water Management, Elsevier, vol. 97(6), pages 883-891, June.
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    2. Peng Li & Hao Li & Jinshan Li & Xiuqiao Huang & Yang Liu & Yue Jiang, 2022. "Effect of Aeration on Blockage Regularity and Microbial Diversity of Blockage Substance in Drip Irrigation Emitter," Agriculture, MDPI, vol. 12(11), pages 1-22, November.
    3. Seyedzadeh, Amin & Maroufpoor, Saman & Maroufpoor, Eisa & Shiri, Jalal & Bozorg-Haddad, Omid & Gavazi, Farnoosh, 2020. "Artificial intelligence approach to estimate discharge of drip tape irrigation based on temperature and pressure," Agricultural Water Management, Elsevier, vol. 228(C).
    4. Shen, Yan & Puig-Bargués, Jaume & Li, Mengyao & Xiao, Yang & Li, Qiang & Li, Yunkai, 2022. "Physical, chemical and biological emitter clogging behaviors in drip irrigation systems using high-sediment loaded water," Agricultural Water Management, Elsevier, vol. 270(C).
    5. Ji Feng & Weinan Wang & Haisheng Liu, 2020. "Study on Fluid Movement Characteristics inside the Emitter Flow Path of Drip Irrigation System Using the Yellow River Water," Sustainability, MDPI, vol. 12(4), pages 1-12, February.

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