IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i11p8653-d1156688.html
   My bibliography  Save this article

Numerical Simulation on the Effect of Infiltration and Evapotranspiration on the Residual Slope

Author

Listed:
  • Abdul Halim Hamdany

    (Department of Civil Engineering, University of Indonesia, Depok 16424, Indonesia)

  • Martin Wijaya

    (Department of Civil Engineering, Universitas Katolik Parahyangan, Bandung 40141, Indonesia)

  • Alfrendo Satyanaga

    (Department of Civil and Environmental Engineering, Nazarbayev University, 53, Kabanbay Batyr Ave., Astana 010000, Kazakhstan)

  • Harianto Rahardjo

    (School of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639798, Singapore)

  • Zhai Qian

    (Key Laboratory of Concrete and Prestressed Concrete Structures of Ministry of Education, Bridge Engineering Research Center of Southeast University, Southeast University, Nanjing 210096, China)

  • Aswin Lim

    (Department of Civil Engineering, Universitas Katolik Parahyangan, Bandung 40141, Indonesia)

  • Jong Kim

    (Department of Civil and Environmental Engineering, Nazarbayev University, 53, Kabanbay Batyr Ave., Astana 010000, Kazakhstan)

Abstract

Soil suction plays an important role in governing the stability of slopes. Environmental sustainability could be jeopardized by hazards, such as slope failures (forest destruction, landscape alteration, etc.). However, the quantification of the suction effect on slope stability is a challenging task as the soil suction is usually affected by the precipitation and evapotranspiration. Numerical simulation plays an important role in the estimation of contour in soil suction due to rainfall and evapotranspiration as long-term and widespread monitoring is rarely conducted. The result of numerical simulation is highly dependent on the accuracy of the input parameters. Hence, suction monitoring plays an important role in verifying the result of numerical simulation. However, as a conventional tensiometer is limited to 100 kPa soil suction, it is hard to verify the performance of numerical simulation where suction is higher than 100 kPa. The osmotic tensiometer developed by Nanyang Technological University (NTU) can overcome this problem. It is now possible to monitor changes in soil suction higher than 100 kPa (up to 2500 kPa) for an extended period in the field. In this study, a procedure was proposed to estimate suction changes in residual soil based on rainfall and evapotranspiration data. Numerical simulation was carried out based on the soil properties and geometry of a residual soil slope from Jurong Formation Singapore. Changes in soil suction due to rainfall and evaporation were simulated and compared with the readings from the NTU osmotic tensiometers installed at 0.15 m and 0.50 m from the slope surface in the field. It was observed that numerical simulation was able to capture the variations of suctions accurately at greater depths. However, at shallow depths, erratic suction changes due to difficulties in capturing transpiration.

Suggested Citation

  • Abdul Halim Hamdany & Martin Wijaya & Alfrendo Satyanaga & Harianto Rahardjo & Zhai Qian & Aswin Lim & Jong Kim, 2023. "Numerical Simulation on the Effect of Infiltration and Evapotranspiration on the Residual Slope," Sustainability, MDPI, vol. 15(11), pages 1-15, May.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:8653-:d:1156688
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/11/8653/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/11/8653/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Liuyan Qu & Shaofeng Jia & Runjie Li, 2023. "Spatial Water Consumption Test and Analysis of Various Typical Vegetation in the Sanjiangyuan Region," Sustainability, MDPI, vol. 15(6), pages 1-18, March.
    2. Thiago Augusto Mendes & Roberto Dutra Alves & Gilson de Farias Neves Gitirana & Sávio Aparecido dos Santos Pereira & Juan Félix Rodriguez Rebolledo & Marta Pereira da Luz, 2021. "Evaluation of Rainfall Interception by Vegetation Using a Rainfall Simulator," Sustainability, MDPI, vol. 13(9), pages 1-16, May.
    3. Zotarelli, Lincoln & Scholberg, Johannes M. & Dukes, Michael D. & Muñoz-Carpena, Rafael & Icerman, Jason, 2009. "Tomato yield, biomass accumulation, root distribution and irrigation water use efficiency on a sandy soil, as affected by nitrogen rate and irrigation scheduling," Agricultural Water Management, Elsevier, vol. 96(1), pages 23-34, January.
    4. Anastasia Angelaki & Vasiliki Bota & Iraklis Chalkidis, 2023. "Estimation of Hydraulic Parameters from the Soil Water Characteristic Curve," Sustainability, MDPI, vol. 15(8), pages 1-16, April.
    5. Junaidah Abdullah & Mohd Remy Rozainy Mohd Arif Zainol & Ali Riahi & Nor Azazi Zakaria & Mohd Fazly Yusof & Syafiq Shaharuddin & Muhammad Nurfasya Alias & Muhammad Zaki Mohd Kasim & Mohd Sharizal Abdu, 2023. "Investigating the Relationship between the Manning Coefficients (n) of a Perforated Subsurface Stormwater Drainage Pipe and the Hydraulic Parameters," Sustainability, MDPI, vol. 15(8), pages 1-14, April.
    6. Xiaoang Kong & Guoqing Cai & Yongfeng Cheng & Chenggang Zhao, 2022. "Numerical Implementation of Three-Dimensional Nonlinear Strength Model of Soil and Its Application in Slope Stability Analysis," Sustainability, MDPI, vol. 14(9), pages 1-20, April.
    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. Katsoulas, N. & Sapounas, A. & De Zwart, F. & Dieleman, J.A. & Stanghellini, C., 2015. "Reducing ventilation requirements in semi-closed greenhouses increases water use efficiency," Agricultural Water Management, Elsevier, vol. 156(C), pages 90-99.
    2. Mukherjee, A. & Kundu, M. & Sarkar, S., 2010. "Role of irrigation and mulch on yield, evapotranspiration rate and water use pattern of tomato (Lycopersicon esculentum L.)," Agricultural Water Management, Elsevier, vol. 98(1), pages 182-189, December.
    3. Migliaccio, Kati W. & Schaffer, Bruce & Crane, Jonathan H. & Davies, Frederick S., 2010. "Plant response to evapotranspiration and soil water sensor irrigation scheduling methods for papaya production in south Florida," Agricultural Water Management, Elsevier, vol. 97(10), pages 1452-1460, October.
    4. 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.
    5. Zhang, Junwei & Xiang, Lingxiao & Zhu, Chenxi & Li, Wuqiang & Jing, Dan & Zhang, Lili & Liu, Yong & Li, Tianlai & Li, Jianming, 2023. "Evaluating the irrigation schedules of greenhouse tomato by simulating soil water balance under drip irrigation," Agricultural Water Management, Elsevier, vol. 283(C).
    6. Müller, T. & Ranquet Bouleau, C. & Perona, P., 2016. "Optimizing drip irrigation for eggplant crops in semi-arid zones using evolving thresholds," Agricultural Water Management, Elsevier, vol. 177(C), pages 54-65.
    7. Li, Shengping & Tan, Deshui & Wu, Xueping & Degré, Aurore & Long, Huaiyu & Zhang, Shuxiang & Lu, Jinjing & Gao, Lili & Zheng, Fengjun & Liu, Xiaotong & Liang, Guopeng, 2021. "Negative pressure irrigation increases vegetable water productivity and nitrogen use efficiency by improving soil water and NO3–-N distributions," Agricultural Water Management, Elsevier, vol. 251(C).
    8. Guida, Gianpiero & Sellami, Mohamed Houssemeddine & Mistretta, Carmela & Oliva, Marco & Buonomo, Roberta & De Mascellis, Roberto & Patanè, Cristina & Rouphael, Youssef & Albrizio, Rossella & Giorio, P, 2017. "Agronomical, physiological and fruit quality responses of two Italian long-storage tomato landraces under rain-fed and full irrigation conditions," Agricultural Water Management, Elsevier, vol. 180(PA), pages 126-135.
    9. Zotarelli, L. & Dukes, M.D. & Scholberg, J.M.S. & Muñoz-Carpena, R. & Icerman, J., 2009. "Tomato nitrogen accumulation and fertilizer use efficiency on a sandy soil, as affected by nitrogen rate and irrigation scheduling," Agricultural Water Management, Elsevier, vol. 96(8), pages 1247-1258, August.
    10. Sakai, Emilio & Barbosa, Eduardo Augusto Agnellos & Silveira, Jane Maria de Carvalho & Pires, Regina Célia de Matos, 2015. "Coffee productivity and root systems in cultivation schemes with different population arrangements and with and without drip irrigation," Agricultural Water Management, Elsevier, vol. 148(C), pages 16-23.
    11. Sharma, Sat Pal & Leskovar, Daniel I. & Crosby, Kevin M. & Volder, Astrid & Ibrahim, A.M.H., 2014. "Root growth, yield, and fruit quality responses of reticulatus and inodorus melons (Cucumis melo L.) to deficit subsurface drip irrigation," Agricultural Water Management, Elsevier, vol. 136(C), pages 75-85.
    12. Schmidt, Jennifer E. & Peterson, Caitlin & Wang, Daoyuan & Scow, Kate M. & Gaudin, Amélie C.M., 2018. "Agroecosystem tradeoffs associated with conversion to subsurface drip irrigation in organic systems," Agricultural Water Management, Elsevier, vol. 202(C), pages 1-8.
    13. Wang, Chenxia & Gu, Feng & Chen, Jinliang & Yang, Hui & Jiang, Jingjing & Du, Taisheng & Zhang, Jianhua, 2015. "Assessing the response of yield and comprehensive fruit quality of tomato grown in greenhouse to deficit irrigation and nitrogen application strategies," Agricultural Water Management, Elsevier, vol. 161(C), pages 9-19.
    14. Kuşçu, Hayrettin & Turhan, Ahmet & Demir, Ali Osman, 2014. "The response of processing tomato to deficit irrigation at various phenological stages in a sub-humid environment," Agricultural Water Management, Elsevier, vol. 133(C), pages 92-103.
    15. Ma, Kai & Wang, Zhenhua & Li, Haiqiang & Wang, Tianyu & Chen, Rui, 2022. "Effects of nitrogen application and brackish water irrigation on yield and quality of cotton," Agricultural Water Management, Elsevier, vol. 264(C).
    16. Reyes-Cabrera, Joel & Zotarelli, Lincoln & Dukes, Michael D. & Rowland, Diane L. & Sargent, Steven A., 2016. "Soil moisture distribution under drip irrigation and seepage for potato production," Agricultural Water Management, Elsevier, vol. 169(C), pages 183-192.
    17. Zheng, Jianhua & Huang, Guanhua & Jia, Dongdong & Wang, Jun & Mota, Mariana & Pereira, Luis S. & Huang, Quanzhong & Xu, Xu & Liu, Haijun, 2013. "Responses of drip irrigated tomato (Solanum lycopersicum L.) yield, quality and water productivity to various soil matric potential thresholds in an arid region of Northwest China," Agricultural Water Management, Elsevier, vol. 129(C), pages 181-193.
    18. Riccardo Testa & Anna Maria di Trapani & Filippo Sgroi & Salvatore Tudisca, 2014. "Economic Sustainability of Italian Greenhouse Cherry Tomato," Sustainability, MDPI, vol. 6(11), pages 1-15, November.
    19. Yuan Li & Mingzhi Zhang & Zhenguang Lu & Yushun Zhang & Jingwei Wang, 2022. "Effects of Irrigation Strategy and Plastic Film Mulching on Soil N 2 O Emissions and Fruit Yields of Greenhouse Tomato," Agriculture, MDPI, vol. 12(2), pages 1-15, February.
    20. Bonfante, A. & Monaco, E. & Manna, P. & De Mascellis, R. & Basile, A. & Buonanno, M. & Cantilena, G. & Esposito, A. & Tedeschi, A. & De Michele, C. & Belfiore, O. & Catapano, I. & Ludeno, G. & Salinas, 2019. "LCIS DSS—An irrigation supporting system for water use efficiency improvement in precision agriculture: A maize case study," Agricultural Systems, Elsevier, vol. 176(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:15:y:2023:i:11:p:8653-:d:1156688. 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.