IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v265y2022ics0378377422000853.html
   My bibliography  Save this article

Simultaneous estimation of surface soil moisture and salinity during irrigation with the moisture-salinity-dependent spectral response model

Author

Listed:
  • Du, Ruiqi
  • Chen, Junying
  • Zhang, Zhitao
  • Chen, Yinwen
  • He, Yujie
  • Yin, Haoyuan

Abstract

Soil moisture and salinity are both important environmental variables for crop growth in agricultural production areas. Optical remote-sensing datasets from different sensors are available for estimating soil moisture and salinity from different spatial-temporal scales. Given the co-regulation of soil spectral reflectance (SR) by soil moisture and salinity, the simultaneous estimation of moisture and salinity in saline soil may result in great bias and uncertainty. To address this problem, soil samples were collected in the salinized area during irrigation. Synchronously, processed multi-spectral images were acquired from Sentinel-2 satellite. The spectrum mechanism responsive to soil moisture and salinity was verified by statistical tests, and its corresponding mathematical model (MSS model) was developed to identify the dominant factors affecting SR and to inverse moisture and salinity. The result showed that the effects of moisture and salinity were temporally constant (facilitation) and changing (from inhibition to facilitation), respectively, during the irrigation stages. The dominant factors in the variation of SR shifted from salinity and moisture-salinity interaction to moisture. Reliable accuracy was achieved in the moisture and salinity estimation using inverse MSS model. The profile from the series of estimations can further reveal the dynamic changes of soil moisture and salinity content during irrigation, and provide guidance for local irrigation management.

Suggested Citation

  • Du, Ruiqi & Chen, Junying & Zhang, Zhitao & Chen, Yinwen & He, Yujie & Yin, Haoyuan, 2022. "Simultaneous estimation of surface soil moisture and salinity during irrigation with the moisture-salinity-dependent spectral response model," Agricultural Water Management, Elsevier, vol. 265(C).
    • Handle: RePEc:eee:agiwat:v:265:y:2022:i:c:s0378377422000853
    DOI: 10.1016/j.agwat.2022.107538
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377422000853
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2022.107538?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. Feng, Zhao-Zhong & Wang, Xiao-Ke & Feng, Zong-Wei, 2005. "Soil N and salinity leaching after the autumn irrigation and its impact on groundwater in Hetao Irrigation District, China," Agricultural Water Management, Elsevier, vol. 71(2), pages 131-143, February.
    2. Xu, Jiatun & Cai, Huanjie & Saddique, Qaisar & Wang, Xiaoyun & Li, Liang & Ma, Chenguang & Lu, Yajun, 2019. "Evaluation and optimization of border irrigation in different irrigation seasons based on temporal variation of infiltration and roughness," Agricultural Water Management, Elsevier, vol. 214(C), pages 64-77.
    3. Xu, Xu & Huang, Guanhua & Qu, Zhongyi & Pereira, Luis S., 2010. "Assessing the groundwater dynamics and impacts of water saving in the Hetao Irrigation District, Yellow River basin," Agricultural Water Management, Elsevier, vol. 98(2), pages 301-313, December.
    4. Yu, Ruihong & Liu, Tingxi & Xu, Youpeng & Zhu, Chao & Zhang, Qing & Qu, Zhongyi & Liu, Xiaomin & Li, Changyou, 2010. "Analysis of salinization dynamics by remote sensing in Hetao Irrigation District of North China," Agricultural Water Management, Elsevier, vol. 97(12), pages 1952-1960, November.
    5. Gao, Xiaoyu & Huo, Zailin & Xu, Xu & Qu, Zhongyi & Huang, Guanhua & Tang, Pengcheng & Bai, Yining, 2018. "Shallow groundwater plays an important role in enhancing irrigation water productivity in an arid area: The perspective from a regional agricultural hydrology simulation," Agricultural Water Management, Elsevier, vol. 208(C), pages 43-58.
    6. Wen, Yeqiang & Shang, Songhao & Rahman, Khalil Ur & Xia, Yuhong & Ren, Dongyang, 2020. "A semi-distributed drainage model for monthly drainage water and salinity simulation in a large irrigation district in arid region," Agricultural Water Management, Elsevier, vol. 230(C).
    Full references (including those not matched with items on IDEAS)

    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. Liu, Meihan & Paredes, Paula & Shi, Haibin & Ramos, Tiago B. & Dou, Xu & Dai, Liping & Pereira, Luis S., 2022. "Impacts of a shallow saline water table on maize evapotranspiration and groundwater contribution using static water table lysimeters and the dual Kc water balance model SIMDualKc," Agricultural Water Management, Elsevier, vol. 273(C).
    2. Guanfang Sun & Yan Zhu & Zhaoliang Gao & Jinzhong Yang & Zhongyi Qu & Wei Mao & Jingwei Wu, 2022. "Spatiotemporal Patterns and Key Driving Factors of Soil Salinity in Dry and Wet Years in an Arid Agricultural Area with Shallow Groundwater Table," Agriculture, MDPI, vol. 12(8), pages 1-17, August.
    3. Liu, Meihan & Shi, Haibin & Paredes, Paula & Ramos, Tiago B. & Dai, Liping & Feng, Zhuangzhuang & Pereira, Luis S., 2022. "Estimating and partitioning maize evapotranspiration as affected by salinity using weighing lysimeters and the SIMDualKc model," Agricultural Water Management, Elsevier, vol. 261(C).
    4. 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.
    5. Miao, Qingfeng & Rosa, Ricardo D. & Shi, Haibin & Paredes, Paula & Zhu, Li & Dai, Jiaxin & Gonçalves, José M. & Pereira, Luis S., 2016. "Modeling water use, transpiration and soil evaporation of spring wheat–maize and spring wheat–sunflower relay intercropping using the dual crop coefficient approach," Agricultural Water Management, Elsevier, vol. 165(C), pages 211-229.
    6. Mao, Wei & Zhu, Yan & Wu, Jingwei & Ye, Ming & Yang, Jinzhong, 2022. "Evaluation of effects of limited irrigation on regional-scale water movement and salt accumulation in arid agricultural areas," Agricultural Water Management, Elsevier, vol. 262(C).
    7. Cao, Zhaodan & Zhu, Tingju & Cai, Ximing, 2023. "Hydro-agro-economic optimization for irrigated farming in an arid region: The Hetao Irrigation District, Inner Mongolia," Agricultural Water Management, Elsevier, vol. 277(C).
    8. Huang, Ya & Zhang, Zhe & Li, Zhenhua & Dai, Danqiong & Li, Yanping, 2022. "Evaluation of water use efficiency and optimal irrigation quantity of spring maize in Hetao Irrigation District using the Noah-MP Land Surface Model," Agricultural Water Management, Elsevier, vol. 264(C).
    9. Xue, Jingyuan & Guan, Huade & Huo, Zailin & Wang, Fengxin & Huang, Guanhua & Boll, Jan, 2017. "Water saving practices enhance regional efficiency of water consumption and water productivity in an arid agricultural area with shallow groundwater," Agricultural Water Management, Elsevier, vol. 194(C), pages 78-89.
    10. Zhao, Tianxing & Zhu, Yan & Ye, Ming & Yang, Jinzhong & Jia, Biao & Mao, Wei & Wu, Jingwei, 2022. "A new approach for estimating spatial-temporal phreatic evapotranspiration at a regional scale using NDVI and water table depth measurements," Agricultural Water Management, Elsevier, vol. 264(C).
    11. Feng, Zhuangzhuang & Miao, Qingfeng & Shi, Haibin & Feng, Weiying & Li, Xianyue & Yan, Jianwen & Liu, Meihan & Sun, Wei & Dai, Liping & Liu, Jing, 2023. "Simulation of water balance and irrigation strategy of typical sand-layered farmland in the Hetao Irrigation District, China," Agricultural Water Management, Elsevier, vol. 280(C).
    12. Xiong, Lvyang & Jiang, Yao & Li, Xinyi & Ren, Dongyang & Huang, Guanhua, 2023. "Long-term regional groundwater responses and their ecological impacts under agricultural water saving in an arid irrigation district, upper Yellow River basin," Agricultural Water Management, Elsevier, vol. 288(C).
    13. Zhang, Xiaoxing & Guo, Ping & Guo, Wenxian & Gong, Juan & Luo, Biao, 2021. "Optimization towards sustainable development in shallow groundwater area and risk analysis," Agricultural Water Management, Elsevier, vol. 258(C).
    14. Xu, Xu & Huang, Guanhua & Sun, Chen & Pereira, Luis S. & Ramos, Tiago B. & Huang, Quanzhong & Hao, Yuanyuan, 2013. "Assessing the effects of water table depth on water use, soil salinity and wheat yield: Searching for a target depth for irrigated areas in the upper Yellow River basin," Agricultural Water Management, Elsevier, vol. 125(C), pages 46-60.
    15. Dong, Qin’ge & Yang, Yuchen & Zhang, Tinbin & Zhou, Lifeng & He, Jianqiang & Chau, Henry Wai & Zou, Yufeng & Feng, Hao, 2018. "Impacts of ridge with plastic mulch-furrow irrigation on soil salinity, spring maize yield and water use efficiency in an arid saline area," Agricultural Water Management, Elsevier, vol. 201(C), pages 268-277.
    16. Bai, Liangliang & Cai, Jiabing & Liu, Yu & Chen, He & Zhang, Baozhong & Huang, Lingxu, 2017. "Responses of field evapotranspiration to the changes of cropping pattern and groundwater depth in large irrigation district of Yellow River basin," Agricultural Water Management, Elsevier, vol. 188(C), pages 1-11.
    17. Sun, Guanfang & Zhu, Yan & Ye, Ming & Yang, Jinzhong & Qu, Zhongyi & Mao, Wei & Wu, Jingwei, 2019. "Development and application of long-term root zone salt balance model for predicting soil salinity in arid shallow water table area," Agricultural Water Management, Elsevier, vol. 213(C), pages 486-498.
    18. Xu Xu & Guanhua Huang & Zhongyi Qu & Luis Pereira, 2011. "Using MODFLOW and GIS to Assess Changes in Groundwater Dynamics in Response to Water Saving Measures in Irrigation Districts of the Upper Yellow River Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(8), pages 2035-2059, June.
    19. Li, Xuemin & Zhang, Chenglong & Huo, Zailin & Adeloye, Adebayo J., 2020. "A sustainable irrigation water management framework coupling water-salt processes simulation and uncertain optimization in an arid area," Agricultural Water Management, Elsevier, vol. 231(C).
    20. Yannan Liu & Yan Zhu & Wei Mao & Guanfang Sun & Xudong Han & Jingwei Wu & Jinzhong Yang, 2022. "Development and Application of a Water and Salt Balance Model for Well-Canal Conjunctive Irrigation in Semiarid Areas with Shallow Water Tables," Agriculture, MDPI, vol. 12(3), pages 1-25, March.

    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:265:y:2022:i:c:s0378377422000853. 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.