IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0139839.html
   My bibliography  Save this article

Simulating Crop Evapotranspiration Response under Different Planting Scenarios by Modified SWAT Model in an Irrigation District, Northwest China

Author

Listed:
  • Xin Liu
  • Sufen Wang
  • Han Xue
  • Vijay P Singh

Abstract

Modelling crop evapotranspiration (ET) response to different planting scenarios in an irrigation district plays a significant role in optimizing crop planting patterns, resolving agricultural water scarcity and facilitating the sustainable use of water resources. In this study, the SWAT model was improved by transforming the evapotranspiration module. Then, the improved model was applied in Qingyuan Irrigation District of northwest China as a case study. Land use, soil, meteorology, irrigation scheduling and crop coefficient were considered as input data, and the irrigation district was divided into subdivisions based on the DEM and local canal systems. On the basis of model calibration and verification, the improved model showed better simulation efficiency than did the original model. Therefore, the improved model was used to simulate the crop evapotranspiration response under different planting scenarios in the irrigation district. Results indicated that crop evapotranspiration decreased by 2.94% and 6.01% under the scenarios of reducing the planting proportion of spring wheat (scenario 1) and summer maize (scenario 2) by keeping the total cultivated area unchanged. However, the total net output values presented an opposite trend under different scenarios. The values decreased by 3.28% under scenario 1, while it increased by 7.79% under scenario 2, compared with the current situation. This study presents a novel method to estimate crop evapotranspiration response under different planting scenarios using the SWAT model, and makes recommendations for strategic agricultural water management planning for the rational utilization of water resources and development of local economy by studying the impact of planting scenario changes on crop evapotranspiration and output values in the irrigation district of northwest China.

Suggested Citation

  • Xin Liu & Sufen Wang & Han Xue & Vijay P Singh, 2015. "Simulating Crop Evapotranspiration Response under Different Planting Scenarios by Modified SWAT Model in an Irrigation District, Northwest China," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-21, October.
  • Handle: RePEc:plo:pone00:0139839
    DOI: 10.1371/journal.pone.0139839
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0139839
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0139839&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0139839?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
    ---><---

    References listed on IDEAS

    as
    1. Ding, Risheng & Kang, Shaozhong & Zhang, Yanqun & Hao, Xinmei & Tong, Ling & Du, Taisheng, 2013. "Partitioning evapotranspiration into soil evaporation and transpiration using a modified dual crop coefficient model in irrigated maize field with ground-mulching," Agricultural Water Management, Elsevier, vol. 127(C), pages 85-96.
    2. Ullrich, Antje & Volk, Martin, 2009. "Application of the Soil and Water Assessment Tool (SWAT) to predict the impact of alternative management practices on water quality and quantity," Agricultural Water Management, Elsevier, vol. 96(8), pages 1207-1217, August.
    3. Giorgos Papadavid & Diofantos Hadjimitsis & Leonidas Toulios & Silas Michaelides, 2013. "A Modified SEBAL Modeling Approach for Estimating Crop Evapotranspiration in Semi-arid Conditions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(9), pages 3493-3506, July.
    4. Zhao, Wenzhi & Liu, Bing & Zhang, Zhihui, 2010. "Water requirements of maize in the middle Heihe River basin, China," Agricultural Water Management, Elsevier, vol. 97(2), pages 215-223, February.
    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. Cheng, Minghan & Jiao, Xiyun & Jin, Xiuliang & Li, Binbin & Liu, Kaihua & Shi, Lei, 2021. "Satellite time series data reveal interannual and seasonal spatiotemporal evapotranspiration patterns in China in response to effect factors," Agricultural Water Management, Elsevier, vol. 255(C).
    2. Jinjiao Lian & Mingbin Huang, 2015. "Evapotranspiration Estimation for an Oasis Area in the Heihe River Basin Using Landsat-8 Images and the METRIC Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(14), pages 5157-5170, November.
    3. 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.
    4. Zhang, Zhe & Liu, Shengyao & Jia, Songnan & Du, Fenghuan & Qi, Hao & Li, Jiaxi & Song, Xinyue & Zhao, Nan & Nie, Lanchun & Fan, Fengcui, 2021. "Precise soil water control using a negative pressure irrigation system to improve the water productivity of greenhouse watermelon," Agricultural Water Management, Elsevier, vol. 258(C).
    5. Jovanovic, N. & Pereira, L.S. & Paredes, P. & Pôças, I. & Cantore, V. & Todorovic, M., 2020. "A review of strategies, methods and technologies to reduce non-beneficial consumptive water use on farms considering the FAO56 methods," Agricultural Water Management, Elsevier, vol. 239(C).
    6. Jeong, Hanseok & Kim, Hakkwan & Jang, Taeil & Park, Seungwoo, 2016. "Assessing the effects of indirect wastewater reuse on paddy irrigation in the Osan River watershed in Korea using the SWAT model," Agricultural Water Management, Elsevier, vol. 163(C), pages 393-402.
    7. Hu, Yajin & Ma, Penghui & Zhang, Binbin & Hill, Robert L. & Wu, Shufang & Dong, Qin’ge & Chen, Guangjie, 2019. "Exploring optimal soil mulching for the wheat-maize cropping system in sub-humid drought-prone regions in China," Agricultural Water Management, Elsevier, vol. 219(C), pages 59-71.
    8. Fan, Yaqiong & Ding, Risheng & Kang, Shaozhong & Hao, Xinmei & Du, Taisheng & Tong, Ling & Li, Sien, 2017. "Plastic mulch decreases available energy and evapotranspiration and improves yield and water use efficiency in an irrigated maize cropland," Agricultural Water Management, Elsevier, vol. 179(C), pages 122-131.
    9. Yi, Jun & Li, Huijie & Zhao, Ying & Shao, Ming'an & Zhang, Hailin & Liu, Muxing, 2022. "Assessing soil water balance to optimize irrigation schedules of flood-irrigated maize fields with different cultivation histories in the arid region," Agricultural Water Management, Elsevier, vol. 265(C).
    10. Marko Reljić & Marija Romić & Davor Romić & Gordon Gilja & Vedran Mornar & Gabrijel Ondrasek & Marina Bubalo Kovačić & Monika Zovko, 2023. "Advanced Continuous Monitoring System—Tools for Water Resource Management and Decision Support System in Salt Affected Delta," Agriculture, MDPI, vol. 13(2), pages 1-19, February.
    11. Zhang, Dejian & Chen, Xingwei & Yao, Huaxia & Lin, Bingqing, 2015. "Improved calibration scheme of SWAT by separating wet and dry seasons," Ecological Modelling, Elsevier, vol. 301(C), pages 54-61.
    12. Yamaç, Sevim Seda, 2021. "Artificial intelligence methods reliably predict crop evapotranspiration with different combinations of meteorological data for sugar beet in a semiarid area," Agricultural Water Management, Elsevier, vol. 254(C).
    13. Pereira, L.S. & Paredes, P. & Melton, F. & Johnson, L. & Mota, M. & Wang, T., 2021. "Prediction of crop coefficients from fraction of ground cover and height: Practical application to vegetable, field and fruit crops with focus on parameterization," Agricultural Water Management, Elsevier, vol. 252(C).
    14. 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).
    15. Wang, Yueyue & Horton, Robert & Xue, Xuzhang & Ren, Tusheng, 2021. "Partitioning evapotranspiration by measuring soil water evaporation with heat-pulse sensors and plant transpiration with sap flow gauges," Agricultural Water Management, Elsevier, vol. 252(C).
    16. Jian Yin & Chesheng Zhan & Wen Ye, 2016. "An Experimental Study on Evapotranspiration Data Assimilation Based on the Hydrological Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(14), pages 5263-5279, November.
    17. 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.
    18. Gong, Xuewen & Qiu, Rangjian & Ge, Jiankun & Bo, Guokui & Ping, Yinglu & Xin, Qingsong & Wang, Shunsheng, 2021. "Evapotranspiration partitioning of greenhouse grown tomato using a modified Priestley–Taylor model," Agricultural Water Management, Elsevier, vol. 247(C).
    19. Shao, Guomin & Han, Wenting & Zhang, Huihui & Liu, Shouyang & Wang, Yi & Zhang, Liyuan & Cui, Xin, 2021. "Mapping maize crop coefficient Kc using random forest algorithm based on leaf area index and UAV-based multispectral vegetation indices," Agricultural Water Management, Elsevier, vol. 252(C).
    20. Wang, Chunying & Jiang, Rui & Boithias, Laurie & Sauvage, Sabine & Sánchez-Pérez, José-Miguel & Mao, Xiaomin & Han, Yuping & Hayakawa, Atsushi & Kuramochi, Kanta & Hatano, Ryusuke, 2016. "Assessing potassium environmental losses from a dairy farming watershed with the modified SWAT model," Agricultural Water Management, Elsevier, vol. 175(C), pages 91-104.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0139839. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.