IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i20p5609-d275564.html
   My bibliography  Save this article

A Novel Approach to Interpret Soil Moisture Content for Economical Monitoring of Urban Landscape

Author

Listed:
  • Junwei Liu

    (School of Civil Engineering, Qingdao University of Technology, Qingdao 266000, China)

  • Vinay Kumar Gadi

    (Department of Civil Engineering, Indian Institute of Technology Guwahati, Guwahati 781030, India)

  • Ankit Garg

    (Department of Civil and Environmental Engineering, Shantou University, Shantou 515000, China)

  • Suriya Prakash Ganesan

    (School of Civil Engineering, Qingdao University of Technology, Qingdao 266000, China)

  • Anasua GuhaRay

    (Department of Civil Engineering, BITS-Pilani Hyderabad Campus, Hyderabad 500078, India)

Abstract

Preservation of green infrastructure (GI) needs continuous monitoring of soil moisture. Moisture content in soil is generally interpreted on the basis electrical conductivity (EC), soil temperature and relative humidity (RH). However, validity of previous approaches to interpret moisture content in urban landscape was rarely investigated. There is a need to relate the moisture content with other parameters (EC, temperature and RH) to economize the sensor installation. This study aims to quantify the dynamics of the above-mentioned parameters in an urban green space, and to further develop correlations between moisture content and other parameters (EC, temperature and RH). An integrated field monitoring and statistical modelling approach were adopted to achieve the objective. Four distinct sites comprising treed (younger and mature tree), grassed and bare soil were selected for investigation. Field monitoring was conducted for two months to measure four parameters. This was followed by statistical modelling by artificial neural networks (ANN). Correlations were developed for estimating soil moisture as a function of other parameters for the selected sites. Irrespective of the type of site, EC was found to be the most significant parameter affecting soil moisture, followed by RH and soil temperature. This correlation with EC is found to be stronger in vegetated soil as compared to that without vegetation. The correlations of soil temperature with water content do not have a conclusive trend. A considerable increase in temperature was not found due to the subsequent drying of soil after rainfall. A normal distribution function was found from the uncertainty analysis of soil moisture in the case of treed soil, whereas soil moisture was observed to follow a skewed distribution in the bare and grassed soils.

Suggested Citation

  • Junwei Liu & Vinay Kumar Gadi & Ankit Garg & Suriya Prakash Ganesan & Anasua GuhaRay, 2019. "A Novel Approach to Interpret Soil Moisture Content for Economical Monitoring of Urban Landscape," Sustainability, MDPI, vol. 11(20), pages 1-17, October.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:20:p:5609-:d:275564
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/20/5609/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/20/5609/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Li, Sien & Kang, Shaozhong & Li, Fusheng & Zhang, Lu, 2008. "Evapotranspiration and crop coefficient of spring maize with plastic mulch using eddy covariance in northwest China," Agricultural Water Management, Elsevier, vol. 95(11), pages 1214-1222, November.
    2. Maggie Roe & Ian Mell, 2013. "Negotiating value and priorities: evaluating the demands of green infrastructure development," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 56(5), pages 650-673, June.
    3. Garg, Akhil & Vijayaraghavan, Venkatesh & Zhang, Jian & Lam, Jasmine Siu Lee, 2017. "Robust model design for evaluation of power characteristics of the cleaner energy system," Renewable Energy, Elsevier, vol. 112(C), pages 302-313.
    4. Ain-Lhout, F. & Boutaleb, S. & Diaz-Barradas, M.C. & Jauregui, J. & Zunzunegui, M., 2016. "Monitoring the evolution of soil moisture in root zone system of Argania spinosa using electrical resistivity imaging," Agricultural Water Management, Elsevier, vol. 164(P1), pages 158-166.
    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. Feng, Yu & Gong, Daozhi & Mei, Xurong & Hao, Weiping & Tang, Dahua & Cui, Ningbo, 2017. "Energy balance and partitioning in partial plastic mulched and non-mulched maize fields on the Loess Plateau of China," Agricultural Water Management, Elsevier, vol. 191(C), pages 193-206.
    2. Li, Sien & Kang, Shaozhong & Zhang, Lu & Du, Taisheng & Tong, Ling & Ding, Risheng & Guo, Weihua & Zhao, Peng & Chen, Xia & Xiao, Huan, 2015. "Ecosystem water use efficiency for a sparse vineyard in arid northwest China," Agricultural Water Management, Elsevier, vol. 148(C), pages 24-33.
    3. Martínez, Gonzalo & Laguna, Ana M. & Giráldez, Juan Vicente & Vanderlinden, Karl, 2021. "Concurrent variability of soil moisture and apparent electrical conductivity in the proximity of olive trees," Agricultural Water Management, Elsevier, vol. 245(C).
    4. Gong, Daozhi & Mei, Xurong & Hao, Weiping & Wang, Hanbo & Caylor, Kelly K., 2017. "Comparison of ET partitioning and crop coefficients between partial plastic mulched and non-mulched maize fields," Agricultural Water Management, Elsevier, vol. 181(C), pages 23-34.
    5. Ding, Risheng & Kang, Shaozhong & Li, Fusheng & Zhang, Yanqun & Tong, Ling & Sun, Qingyu, 2010. "Evaluating eddy covariance method by large-scale weighing lysimeter in a maize field of northwest China," Agricultural Water Management, Elsevier, vol. 98(1), pages 87-95, December.
    6. Zheng, Jing & Fan, Junliang & Zhang, Fucang & Zhuang, Qianlai, 2021. "Evapotranspiration partitioning and water productivity of rainfed maize under contrasting mulching conditions in Northwest China," Agricultural Water Management, Elsevier, vol. 243(C).
    7. Saskia Van Broekhoven & Anne Lorène Vernay, 2018. "Integrating Functions for a Sustainable Urban System: A Review of Multifunctional Land Use and Circular Urban Metabolism," Sustainability, MDPI, vol. 10(6), pages 1-24, June.
    8. Fabio Zagonari, 2016. "Four Sustainability Paradigms for Environmental Management: A Methodological Analysis and an Empirical Study Based on 30 Italian Industries," Sustainability, MDPI, vol. 8(6), pages 1-34, May.
    9. Alberto, Ma. Carmelita R. & Quilty, James R. & Buresh, Roland J. & Wassmann, Reiner & Haidar, Sam & Correa, Teodoro Q. & Sandro, Joseph M., 2014. "Actual evapotranspiration and dual crop coefficients for dry-seeded rice and hybrid maize grown with overhead sprinkler irrigation," Agricultural Water Management, Elsevier, vol. 136(C), pages 1-12.
    10. Chen, Jinliang & Kang, Shaozhong & Du, Taisheng & Qiu, Rangjian & Guo, Ping & Chen, Renqiang, 2013. "Quantitative response of greenhouse tomato yield and quality to water deficit at different growth stages," Agricultural Water Management, Elsevier, vol. 129(C), pages 152-162.
    11. Qin, Shujing & Li, Sien & Kang, Shaozhong & Du, Taisheng & Tong, Ling & Ding, Risheng & Wang, Yahui & Guo, Hui, 2019. "Transpiration of female and male parents of seed maize in northwest China," Agricultural Water Management, Elsevier, vol. 213(C), pages 397-409.
    12. Elisa Lähde & Ambika Khadka & Outi Tahvonen & Teemu Kokkonen, 2019. "Can We Really Have It All?—Designing Multifunctionality with Sustainable Urban Drainage System Elements," Sustainability, MDPI, vol. 11(7), pages 1-20, March.
    13. Chengfu Yuan & Shaoyuan Feng & Zailin Huo & Quanyi Ji, 2019. "Simulation of Saline Water Irrigation for Seed Maize in Arid Northwest China Based on SWAP Model," Sustainability, MDPI, vol. 11(16), pages 1-14, August.
    14. Liu, Yi & Li, Shiqing & Chen, Fang & Yang, Shenjiao & Chen, Xinping, 2010. "Soil water dynamics and water use efficiency in spring maize (Zea mays L.) fields subjected to different water management practices on the Loess Plateau, China," Agricultural Water Management, Elsevier, vol. 97(5), pages 769-775, May.
    15. Qiu, Rangjian & Liu, Chunwei & Cui, Ningbo & Wu, Youjie & Wang, Zhenchang & Li, Gen, 2019. "Evapotranspiration estimation using a modified Priestley-Taylor model in a rice-wheat rotation system," Agricultural Water Management, Elsevier, vol. 224(C), pages 1-1.
    16. Jackie Parker & Greg D. Simpson, 2020. "A Theoretical Framework for Bolstering Human-Nature Connections and Urban Resilience via Green Infrastructure," Land, MDPI, vol. 9(8), pages 1-20, July.
    17. Renato Monteiro & José C. Ferreira & Paula Antunes, 2020. "Green Infrastructure Planning Principles: An Integrated Literature Review," Land, MDPI, vol. 9(12), pages 1-19, December.
    18. Jiang, Xuelian & Kang, Shaozhong & Tong, Ling & Li, Sien & Ding, Risheng & Du, Taisheng, 2019. "Modeling evapotranspiration and its components of maize for seed production in an arid region of northwest China using a dual crop coefficient and multisource models," Agricultural Water Management, Elsevier, vol. 222(C), pages 105-117.
    19. Coussement, Tom & Maloteau, Sophie & Pardon, Paul & Artru, Sidonie & Ridley, Simon & Javaux, Mathieu & Garré, Sarah, 2018. "A tree-bordered field as a surrogate for agroforestry in temperate regions: Where does the water go?," Agricultural Water Management, Elsevier, vol. 210(C), pages 198-207.
    20. Wang, Xingwang & Huo, Zailin & Shukla, Manoj K. & Wang, Xianghao & Guo, Ping & Xu, Xu & Huang, Guanhua, 2020. "Energy fluxes and evapotranspiration over irrigated maize field in an arid area with shallow groundwater," Agricultural Water Management, Elsevier, vol. 228(C).

    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:gam:jsusta:v:11:y:2019:i:20:p:5609-:d:275564. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.