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Identifying Seasonal Accumulation of Soil Salinity with Three-Dimensional Mapping—A Case Study in Cold and Semiarid Irrigated Fields

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  • Qianqian Liu

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
    Akesu National Station of Observation and Research for Oasis Agro–ecosystem, Akesu 843017, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Gulimire Hanati

    (Xinjiang Institute of Water Resources and Hydropower Research, Urumqi 830049, China)

  • Sulitan Danierhan

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
    Akesu National Station of Observation and Research for Oasis Agro–ecosystem, Akesu 843017, China)

  • Guangming Liu

    (Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China)

  • Yin Zhang

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
    Akesu National Station of Observation and Research for Oasis Agro–ecosystem, Akesu 843017, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Zhiping Zhang

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
    Akesu National Station of Observation and Research for Oasis Agro–ecosystem, Akesu 843017, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

Soil salinity is an active and complex part of soil property in arid and semiarid irrigation areas that restricts the sustainability of agriculture production. Knowledge of seasonal distributions and migration of soil salinity is important for the management of agriculture. In this study, three-dimensional (3-D) geostatistical methods were used to construct seasonal 3-D spatial distribution maps of soil salinity, and then the quantitative analysis methods were used to study the seasonal accumulation patterns of soil salinity for the 0–150 cm soil depth in cold and semiarid irrigated rice fields. The results revealed that there were different spatial distribution and migration patterns of soil salinity in autumn 2015, spring 2016, autumn 2016, and spring 2017. The migration of soil salinity had a dispersion trend from autumn to spring, and the area of non-saline soil increased. Whereas there was an accumulation trend from spring to autumn, and the area of non-saline soil decreased. There were about 10–20% of the study area had experienced transitional changes of different soil salinity levels in different seasons. The correlation coefficient showed that there were significant positive correlations among the five depth increments (30 cm) in different seasons, and the correlations of soil salinity were higher in adjacent layers than in nonadjacent layers. The EC e values were higher in the topsoil (0–30 cm) and deeper subsoil (120–150 cm), indicating that soil soluble salts accumulated in the soil surface due to evaporation and accumulated in the bottom due to leaching and drainage. Microtopography was the major factor influencing spatial distribution of soil salinity in different seasons. The EC e values were generally higher in the swales or in areas with rather poor drainage, whereas the values were lower in relatively higher-lying slopes or that were well-drained. The results provide theoretical basis and reference for studying the variation of seasonal soil salinity in irrigated fields.

Suggested Citation

  • Qianqian Liu & Gulimire Hanati & Sulitan Danierhan & Guangming Liu & Yin Zhang & Zhiping Zhang, 2020. "Identifying Seasonal Accumulation of Soil Salinity with Three-Dimensional Mapping—A Case Study in Cold and Semiarid Irrigated Fields," Sustainability, MDPI, vol. 12(16), pages 1-14, August.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:16:p:6645-:d:400069
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    References listed on IDEAS

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    1. Connor, Jeffery D. & Schwabe, Kurt & King, Darran & Knapp, Keith, 2012. "Irrigated agriculture and climate change: The influence of water supply variability and salinity on adaptation," Ecological Economics, Elsevier, vol. 77(C), pages 149-157.
    2. Feike, Til & Khor, Ling Yee & Mamitimin, Yusuyunjiang & Ha, Nan & Li, Lin & Abdusalih, Nurbay & Xiao, Haifeng & Doluschitz, Reiner, 2017. "Determinants of cotton farmers’ irrigation water management in arid Northwestern China," Agricultural Water Management, Elsevier, vol. 187(C), pages 1-10.
    3. Hamideh Nouri & Sattar Chavoshi Borujeni & Sina Alaghmand & Sharolyn J. Anderson & Paul C. Sutton & Somayeh Parvazian & Simon Beecham, 2018. "Soil Salinity Mapping of Urban Greenery Using Remote Sensing and Proximal Sensing Techniques; The Case of Veale Gardens within the Adelaide Parklands," Sustainability, MDPI, vol. 10(8), pages 1-14, August.
    4. Shouse, P.J. & Goldberg, S. & Skaggs, T.H. & Soppe, R.W.O. & Ayars, J.E., 2010. "Changes in spatial and temporal variability of SAR affected by shallow groundwater management of an irrigated field, California," Agricultural Water Management, Elsevier, vol. 97(5), pages 673-680, May.
    5. Gebremeskel, Gebremedhin & Gebremicael, T.G. & Kifle, Mulubrehan & Meresa, Esayas & Gebremedhin, Teferi & Girmay, Abbadi, 2018. "Salinization pattern and its spatial distribution in the irrigated agriculture of Northern Ethiopia: An integrated approach of quantitative and spatial analysis," Agricultural Water Management, Elsevier, vol. 206(C), pages 147-157.
    6. Chunsheng Wu & Qingsheng Liu & Guoxia Ma & Gaohuan Liu & Fang Yu & Chong Huang & Zhonghe Zhao & Li Liang, 2019. "A Study of the Spatial Difference of the Soil Quality of The Mun River Basin during the Rainy Season," Sustainability, MDPI, vol. 11(12), pages 1-14, June.
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    Cited by:

    1. Xuemei Jiang & Yuwei Ma & Gang Li & Wei Huang & Hongyan Zhao & Guangming Cao & Aiqin Wang, 2022. "Spatial Distribution Characteristics of Soil Salt Ions in Tumushuke City, Xinjiang," Sustainability, MDPI, vol. 14(24), pages 1-11, December.
    2. Sinda Bekir & Rahma Inès Zoghlami & Khaoula Boudabbous & Mohamed Naceur Khelil & Mohammed Moussa & Rim Ghrib & Oumaima Nahdi & Emna Trabelsi & Habib Bousnina, 2022. "Soil Physicochemical Changes as Modulated by Treated Wastewater after Medium-and Long-Term Irrigations: A Case Study from Tunisia," Agriculture, MDPI, vol. 12(12), pages 1-14, December.
    3. Aadhityaa Mohanavelu & Sujay Raghavendra Naganna & Nadhir Al-Ansari, 2021. "Irrigation Induced Salinity and Sodicity Hazards on Soil and Groundwater: An Overview of Its Causes, Impacts and Mitigation Strategies," Agriculture, MDPI, vol. 11(10), pages 1-17, October.

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