IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i4p2050-d499285.html
   My bibliography  Save this article

A Reliable U-trough Runoff Collection Method for Quantifying the Migration Loads of Nutrients at Different Soil Layers under Natural Rainfall

Author

Listed:
  • Yi Wang

    (College of Resources and Environment, Southwest University, Chongqing 400715, China
    Key Laboratory of Southwest Cultivated Land Conservation, Ministry of Agriculture and Rural Affairs of the People’s Republic of China, Chongqing 400715, China
    Base of International S&T Collaboration on Water Environmental Monitoring and Simulation in Three Gorges Reservoir Region, Ministry of Science and Technology of the People’s Republic of China, Chongqing 400715, China)

  • Chengsheng Ni

    (College of Resources and Environment, Southwest University, Chongqing 400715, China
    Key Laboratory of Southwest Cultivated Land Conservation, Ministry of Agriculture and Rural Affairs of the People’s Republic of China, Chongqing 400715, China
    Base of International S&T Collaboration on Water Environmental Monitoring and Simulation in Three Gorges Reservoir Region, Ministry of Science and Technology of the People’s Republic of China, Chongqing 400715, China)

  • Sheng Wang

    (College of Resources and Environment, Southwest University, Chongqing 400715, China
    Key Laboratory of Southwest Cultivated Land Conservation, Ministry of Agriculture and Rural Affairs of the People’s Republic of China, Chongqing 400715, China
    Base of International S&T Collaboration on Water Environmental Monitoring and Simulation in Three Gorges Reservoir Region, Ministry of Science and Technology of the People’s Republic of China, Chongqing 400715, China)

  • Deti Xie

    (College of Resources and Environment, Southwest University, Chongqing 400715, China
    Key Laboratory of Southwest Cultivated Land Conservation, Ministry of Agriculture and Rural Affairs of the People’s Republic of China, Chongqing 400715, China
    Base of International S&T Collaboration on Water Environmental Monitoring and Simulation in Three Gorges Reservoir Region, Ministry of Science and Technology of the People’s Republic of China, Chongqing 400715, China)

  • Jiupai Ni

    (College of Resources and Environment, Southwest University, Chongqing 400715, China
    Key Laboratory of Southwest Cultivated Land Conservation, Ministry of Agriculture and Rural Affairs of the People’s Republic of China, Chongqing 400715, China
    Base of International S&T Collaboration on Water Environmental Monitoring and Simulation in Three Gorges Reservoir Region, Ministry of Science and Technology of the People’s Republic of China, Chongqing 400715, China)

Abstract

Long-term quantification of the migration loads of subsurface runoff (SSR) and its collateral soil nutrients among different soil layers are still restricted by the runoff collection method. This study tested the reliability of the U-trough collection methods (UCM), compared with the seepage plate collection method (SPM), in monitoring the runoff, sediment and nutrient migration loads from different soil layers (L 1 : 0–20 cm depth; L 2 : 20–40 cm depth; L 3 : 40–60 cm depth) for two calendar years under natural rainfall events. The results suggested that the U-trough could collect nearly 10 times the SSR sample volume of the seepage plate and keep the sampling probability more than 95% at each soil layer. The annual SSR flux from L 1 to L 3 was 403.4 mm, 271.9 mm, and 237.4 mm under the UCM, 14.35%, 10.56%, and 8.41% lower than those under the SPM, respectively. The annual net migration loads of sediment, TN, and TP from the L 1 layer under the UCM were 49.562 t/km 2 , 19.113 t/km 2 and 0.291 t/km 2 , and 86.62%, 41.21% and 81.78% of them were intercepted by the subsoil layers (L 2 and L 3 ), respectively. While their migration loads under the SPM were 48.708 t/km 2 , 22.342 t/km 2 and 0.291 t/km 2 , and 88.24%, 53.06% and 80.42% of them were intercepted, respectively. Under both methods, the average leached total n (TN), total p (TP) concentrations per rainfall event and their annual migrated loads at each soil layer showed no significant difference. In conclusion, the UCM was a reliable quantitative method for subsurface runoff, sediment, and soil nutrient migration loads from diverse soil layers of purple soil sloping cultivated lands. Further studies are needed to testify the availability in other lands.

Suggested Citation

  • Yi Wang & Chengsheng Ni & Sheng Wang & Deti Xie & Jiupai Ni, 2021. "A Reliable U-trough Runoff Collection Method for Quantifying the Migration Loads of Nutrients at Different Soil Layers under Natural Rainfall," Sustainability, MDPI, vol. 13(4), pages 1-15, February.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:4:p:2050-:d:499285
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/4/2050/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/4/2050/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Li, Yong & Šimůnek, Jirka & Zhang, Zhentin & Jing, Longfei & Ni, Lixiao, 2015. "Evaluation of nitrogen balance in a direct-seeded-rice field experiment using Hydrus-1D," Agricultural Water Management, Elsevier, vol. 148(C), pages 213-222.
    2. Li, Yong & Šimůnek, Jirka & Jing, Longfei & Zhang, Zhentin & Ni, Lixiao, 2014. "Evaluation of water movement and water losses in a direct-seeded-rice field experiment using Hydrus-1D," Agricultural Water Management, Elsevier, vol. 142(C), pages 38-46.
    3. Bjerkholt, Jarle T. & Kværner, Jens & Jenssen, Petter D. & Briseid, Tormod, 2019. "Mitigating particle and nutrient losses via subsurface agricultural drainage using lightweight aggregates," Agricultural Water Management, Elsevier, vol. 213(C), pages 1004-1015.
    4. Singh, Shailendra & Bhattarai, Rabin & Negm, Lamyaa M. & Youssef, Mohamed A. & Pittelkow, Cameron M., 2020. "Evaluation of nitrogen loss reduction strategies using DRAINMOD-DSSAT in east-central Illinois," Agricultural Water Management, Elsevier, vol. 240(C).
    5. Izydorczyk, Katarzyna & Michalska-Hejduk, Dorota & Jarosiewicz, Paweł & Bydałek, Franciszek & Frątczak, Wojciech, 2018. "Extensive grasslands as an effective measure for nitrate and phosphate reduction from highly polluted subsurface flow – Case studies from Central Poland," Agricultural Water Management, Elsevier, vol. 203(C), pages 240-250.
    6. Liao, Kaihua & Lai, Xiaoming & Zhou, Zhiwen & Liu, Ya & Zhu, Qing, 2020. "Uncertainty analysis and ensemble bias-correction method for predicting nitrate leaching in tea garden soils," Agricultural Water Management, Elsevier, vol. 237(C).
    7. Jiang, Qianjing & Qi, Zhiming & Lu, Cheng & Tan, Chin S. & Zhang, Tiequan & Prasher, Shiv O., 2020. "Evaluating RZ-SHAW model for simulating surface runoff and subsurface tile drainage under regular and controlled drainage with subirrigation in southern Ontario," Agricultural Water Management, Elsevier, vol. 237(C).
    8. Longshan Zhao & Linhua Wang & Xinlan Liang & Jian Wang & Faqi Wu, 2013. "Soil Surface Roughness Effects on Infiltration Process of a Cultivated Slopes on the Loess Plateau of China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(14), pages 4759-4771, November.
    9. Tao, Yuan & Wang, Shaoli & Xu, Di & Yuan, Hongwei & Chen, Haorui, 2017. "Field and numerical experiment of an improved subsurface drainage system in Huaibei plain," Agricultural Water Management, Elsevier, vol. 194(C), pages 24-32.
    10. Longzhou Deng & Kai Fei & Tianyu Sun & Liping Zhang & Xiaojuan Fan & Liang Ni, 2019. "Phosphorus Loss through Overland Flow and Interflow from Bare Weathered Granite Slopes in Southeast China," Sustainability, MDPI, vol. 11(17), pages 1-16, August.
    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. Kaiwen Chen & Shuang’en Yu & Tao Ma & Jihui Ding & Pingru He & Yao Li & Yan Dai & Guangquan Zeng, 2022. "Modeling the Water and Nitrogen Management Practices in Paddy Fields with HYDRUS-1D," Agriculture, MDPI, vol. 12(7), pages 1-18, June.
    2. Feng, Genxiang & Zhu, Chengli & Wu, Qingfeng & Wang, Ce & Zhang, Zhanyu & Mwiya, Richwell Mubita & Zhang, Li, 2021. "Evaluating the impacts of saline water irrigation on soil water-salt and summer maize yield in subsurface drainage condition using coupled HYDRUS and EPIC model," Agricultural Water Management, Elsevier, vol. 258(C).
    3. Chen, Ning & Li, Xianyue & Shi, Haibin & Yan, Jianwen & Zhang, Yuehong & Hu, Qi, 2023. "Evaluating the effects of plastic film mulching duration on soil nitrogen dynamic and comprehensive benefit for corn (Zea mays L.) field," Agricultural Water Management, Elsevier, vol. 286(C).
    4. Darzi-Naftchali, Abdullah & Karandish, Fatemeh & Šimůnek, Jiří, 2018. "Numerical modeling of soil water dynamics in subsurface drained paddies with midseason drainage or alternate wetting and drying management," Agricultural Water Management, Elsevier, vol. 197(C), pages 67-78.
    5. Tao, Yuan & Li, Na & Wang, Shaoli & Chen, Haorui & Guan, Xiaoyan & Ji, Mengzhe, 2021. "Simulation study on performance of nitrogen loss of an improved subsurface drainage system for one-time drainage using HYDRUS-2D," Agricultural Water Management, Elsevier, vol. 246(C).
    6. Krevh, Vedran & Filipović, Lana & Petošić, Dragutin & Mustać, Ivan & Bogunović, Igor & Butorac, Jasminka & Kisić, Ivica & Defterdarović, Jasmina & Nakić, Zoran & Kovač, Zoran & Pereira, Paulo & He, Ha, 2023. "Long-term analysis of soil water regime and nitrate dynamics at agricultural experimental site: Field-scale monitoring and numerical modeling using HYDRUS-1D," Agricultural Water Management, Elsevier, vol. 275(C).
    7. Nie, Wei-Bo & Dong, Shu-Xin & Li, Yi-Bo & Ma, Xiao-Yi, 2021. "Optimization of the border size on the irrigation district scale – Example of the Hetao irrigation district," Agricultural Water Management, Elsevier, vol. 248(C).
    8. Jia WU & Longshan ZHAO & Faqi WU & Zhanbin LI, 2016. "The role of surface microreliefs in influencing splash erosion: A laboratory study," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 11(2), pages 83-89.
    9. Dongping Xue & Heng Dai & Yi Liu & Yunfei Liu & Lei Zhang & Wengai Lv, 2022. "Interaction Simulation of Vadose Zone Water and Groundwater in Cele Oasis: Assessment of the Impact of Agricultural Intensification, Northwestern China," Agriculture, MDPI, vol. 12(5), pages 1-18, April.
    10. Dou, Xu & Shi, Haibin & Li, Ruiping & Miao, Qingfeng & Yan, Jianwen & Tian, Feng & Wang, Bo, 2022. "Simulation and evaluation of soil water and salt transport under controlled subsurface drainage using HYDRUS-2D model," Agricultural Water Management, Elsevier, vol. 273(C).
    11. Michal KRIŠKA & Miroslava NĚMCOVÁ & Eva HYÁNKOVÁ, 2018. "The influence of ammonia on groundwater quality during wastewater irrigation," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 13(3), pages 161-169.
    12. Yuhui Yang & Dongwei Li & Weixiong Huang & Xinguo Zhou & Zhaoyang Li & Xiaomei Dong & Xingpeng Wang, 2022. "Effects of Subsurface Drainage on Soil Salinity and Groundwater Table in Drip Irrigated Cotton Fields in Oasis Regions of Tarim Basin," Agriculture, MDPI, vol. 12(12), pages 1-14, December.
    13. Changbin Li & Jiaguo Qi & Shuaibing Wang & Linshan Yang & Wenjin Yang & Songbing Zou & Gaofeng Zhu & Wenyan Li, 2014. "A Holistic System Approach to Understanding Underground Water Dynamics in the Loess Tableland: A Case Study of the Dongzhi Loess Tableland in Northwest China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 2937-2951, August.
    14. Wu, Lei & Liu, Xia & Ma, Xiaoyi, 2021. "How biochar, horizontal ridge, and grass affect runoff phosphorus fractions and possible tradeoffs under consecutive rainstorms in loessial sloping land?," Agricultural Water Management, Elsevier, vol. 256(C).
    15. Azad, Nasrin & Behmanesh, Javad & Rezaverdinejad, Vahid & Abbasi, Fariborz & Navabian, Maryam, 2018. "Developing an optimization model in drip fertigation management to consider environmental issues and supply plant requirements," Agricultural Water Management, Elsevier, vol. 208(C), pages 344-356.
    16. Groenveld, Thomas & Argaman, Amir & Šimůnek, Jiří & Lazarovitch, Naftali, 2021. "Numerical modeling to optimize nitrogen fertigation with consideration of transient drought and nitrogen stress," Agricultural Water Management, Elsevier, vol. 254(C).
    17. Karandish, Fatemeh & Šimůnek, Jiří, 2018. "An application of the water footprint assessment to optimize production of crops irrigated with saline water: A scenario assessment with HYDRUS," Agricultural Water Management, Elsevier, vol. 208(C), pages 67-82.
    18. Naveen-Gupta, & Eberbach, P.L. & Humphreys, E. & Balwinder-Singh, & Sudhir-Yadav, & Kukal, S.S., 2019. "Estimating soil evaporation in dry seeded rice and wheat crops after wetting events," Agricultural Water Management, Elsevier, vol. 217(C), pages 98-106.
    19. Zhao, Longshan & Hou, Rui & Wu, Faqi, 2019. "Rainwater harvesting capacity of soils subjected to reservoir tillage during rainfall on the Loess Plateau of China," Agricultural Water Management, Elsevier, vol. 217(C), pages 193-200.
    20. Kinga Wieczorek & Anna Turek & Wojciech M. Wolf, 2023. "Combined Effect of Climate and Anthropopressure on River Water Quality," IJERPH, MDPI, vol. 20(4), pages 1-27, February.

    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:13:y:2021:i:4:p:2050-:d:499285. 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.