IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i5p635-d802252.html
   My bibliography  Save this article

Use of Geographically Weighted Regression (GWR) to Reveal Spatially Varying Relationships between Cd Accumulation and Soil Properties at Field Scale

Author

Listed:
  • Zhifan Chen

    (College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
    Henan Engineering Research Center for Control & Remediation of Soil Heavy Metal Pollution, Henan University, Kaifeng 475004, China
    Henan Key Laboratory of Earth System Observation and Modeling, Henan University, Kaifeng 475004, China)

  • Sen Zhang

    (College of Geography and Environmental Science, Henan University, Kaifeng 475004, China)

  • Wencai Geng

    (School of Economics, Henan University, Jinming District, Kaifeng 475004, China)

  • Yongfeng Ding

    (College of Geography and Environmental Science, Henan University, Kaifeng 475004, China)

  • Xingyuan Jiang

    (College of Geography and Environmental Science, Henan University, Kaifeng 475004, China)

Abstract

The spatial variation of correlation between Cd accumulation and its impact factors plays an important role in precise management of Cd contaminated farmland. Samples of topsoils ( n = 247) were collected from suburban farmland located at the junction of the Yellow River Basin and the Huaihe River Basin in China using a 200 m × 200 m grid system. The total and available contents of Cd (T-Cd and A-Cd) in topsoils were analyzed by ICP-MS, and their spatial distribution was analyzed using kriging interpolation with the GIS technique. Geographically weighted regression (GWR) models were applied to explore the spatial variation and their influencing mechanisms of relationships between major environmental factors (pH, organic matter, available phosphorus (A-P)) and Cd accumulation. Spatial distribution showed that T-Cd, A-Cd and their influencing factors had obvious spatial variability, and high value areas primarily cluster near industrial agglomeration areas and irrigation canals. GWR analysis revealed that relationships between T-Cd, A-Cd and their environmental factors presented obvious spatial heterogeneity. Notably, there was a significant negative correlation between soil pH and T-Cd, A-Cd, but with the increase of pH in soil the correlation decreased. A novel finding of a positive correlation between OM and T-Cd, A-Cd was observed, but significant positive correlation only occurred in the high anthropogenic input area due to the complex effects of organic matter on Cd activity. The influence intensity of pH and OM on T-Cd and A-Cd increases under the strong influence of anthropogenic sources. Additionally, T-Cd and A-Cd were totally positively related to soil A-P, but mostly not significantly, which was attributed to the complexity of the available phosphorus source and the differences in Cd contents in chemical fertilizer. Furthermore, clay content might be an important factor affecting the correlation between Cd and soil properties, considering that the correlation between Cd and pH, SOM, A-P was significantly lower in areas with lower clay particles. This study suggested that GWR was an effective tool to reveal spatially varying relationships at field scale, which provided a new idea to further explore the related influencing factors on spatial distribution of contaminants and to realize precise management of a farmland environment.

Suggested Citation

  • Zhifan Chen & Sen Zhang & Wencai Geng & Yongfeng Ding & Xingyuan Jiang, 2022. "Use of Geographically Weighted Regression (GWR) to Reveal Spatially Varying Relationships between Cd Accumulation and Soil Properties at Field Scale," Land, MDPI, vol. 11(5), pages 1-18, April.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:5:p:635-:d:802252
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/5/635/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/11/5/635/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sagarika Patowary & Arup Kumar Sarma, 2018. "GIS-Based Estimation of Soil Loss from Hilly Urban Area Incorporating Hill Cut Factor into RUSLE," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(10), pages 3535-3547, August.
    2. Evert Meijers & Martijn Burger & Mark Thissen & Thomas Graaff & Frank Oort, 2016. "Competitive network positions in trade and structural economic growth: A geographically weighted regression analysis for European regions," Papers in Regional Science, Wiley Blackwell, vol. 95(1), pages 159-180, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Basu, Tirthankar & Das, Arijit, 2024. "Urbanization induced changes in land use dynamics and its nexus to ecosystem service values: A spatiotemporal investigation to promote sustainable urban growth," Land Use Policy, Elsevier, vol. 144(C).
    2. Zhifan Chen & Wencai Geng & Xingyuan Jiang & Xinling Ruan & Di Wu & Yipeng Li, 2022. "A New Sight of Influencing Effects of Major Factors on Cd Transfer from Soil to Wheat ( Triticum aestivum L.): Based on Threshold Regression Model," IJERPH, MDPI, vol. 19(19), pages 1-15, September.
    3. Wenhui Zhang & Liangwei Cheng & Ruitao Xu & Xiaohua He & Weihan Mo & Jianbo Xu, 2023. "Assessing Spatial Variation and Driving Factors of Available Phosphorus in a Hilly Area (Gaozhou, South China) Using Modeling Approaches and Digital Soil Mapping," Agriculture, MDPI, vol. 13(8), pages 1-18, August.

    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. Tranos, Emmanouil & Incera, Andre Carrascal & Willis, George, 2022. "Using the web to predict regional trade flows: data extraction, modelling, and validation," OSF Preprints 9bu5z, Center for Open Science.
    2. Ascani, Andrea & Bettarelli, Luca & Resmini, Laura & Balland, Pierre-Alexandre, 2020. "Global networks, local specialisation and regional patterns of innovation," Research Policy, Elsevier, vol. 49(8).
    3. Mark Thissen & Frank van Oort & Philip McCann & Raquel Ortega-Argilés & Trond Husby, 2020. "The Implications of Brexit for UK and EU Regional Competitiveness," Economic Geography, Taylor & Francis Journals, vol. 96(5), pages 397-421, October.
    4. Junfeng Wang & Shaoyao Zhang & Wei Deng & Qianli Zhou, 2024. "Metropolitan Expansion and Migrant Population: Correlation Patterns and Influencing Factors in Chengdu, China," Land, MDPI, vol. 13(1), pages 1-19, January.
    5. Sagarika Patowary & Banasri Sarma & Arup Kumar Sarma, 2019. "A Revision of OPTEMP-LS Model for Selecting Optimal EMP Combination for Minimizing Sediment and Water Yield from Hilly Urban Watersheds," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(4), pages 1249-1264, March.
    6. Nicola Cortinovis & Frank van Oort, 2017. "Between spilling over and boiling down: network-mediated spillovers, absorptive capacity and productivity in European regions," Tinbergen Institute Discussion Papers 17-118/VI, Tinbergen Institute.
    7. Thomas Graaff, 2020. "On the estimation of spatial stochastic frontier models: an alternative skew-normal approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(2), pages 267-285, April.
    8. Conroy, Tessa & Deller, Steven, 2021. "Spatial Patterns in the Relationship Between Religion and Economic Growth," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 51(2), April.
    9. Mohammad Reza Azimi Sardari & Ommolbanin Bazrafshan & Thomas Panagopoulos & Elham Rafiei Sardooi, 2019. "Modeling the Impact of Climate Change and Land Use Change Scenarios on Soil Erosion at the Minab Dam Watershed," Sustainability, MDPI, vol. 11(12), pages 1-21, June.
    10. Lucía Bolea & Rosa Duarte & Geoffrey J. D. Hewings & Sofía Jiménez & Julio Sánchez‐Chóliz, 2022. "The role of regions in global value chains: an analysis for the European Union," Papers in Regional Science, Wiley Blackwell, vol. 101(4), pages 771-794, August.
    11. Evert Meijers & Martijn Burger & Martijn J. Burger & Evert J. Meijers, 2016. "Agglomerations and the rise of urban network externalities," Papers in Regional Science, Wiley Blackwell, vol. 95(1), pages 5-15, March.
    12. Shanlang Lin & Ziyang Chen & Ziwen He, 2021. "Intra-City Industrial Collaborative Agglomeration, Inter-City Network Connectivity and Green Technology Innovation," Sustainability, MDPI, vol. 13(16), pages 1-25, August.
    13. Kazekami, Sachiko, 2024. "Linkage, sectoral productivity, and employment spread," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 108-123.

    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:jlands:v:11:y:2022:i:5:p:635-:d:802252. 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.