IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v216y2019icp365-378.html
   My bibliography  Save this article

Impacts of climatic variables on reference evapotranspiration during growing season in Southwest China

Author

Listed:
  • Jiang, Shouzheng
  • Liang, Chuan
  • Cui, Ningbo
  • Zhao, Lu
  • Du, Taisheng
  • Hu, Xiaotao
  • Feng, Yu
  • Guan, Jing
  • Feng, Yi

Abstract

Reference evapotranspiration (ET0) plays an important role in studies on hydrological cycles and environmental change. In present research, the temporal changing characteristics of climatic variables, as well as growing season ET0 and attribution analysis of ET0 trend from 1961 to 2016 were investigated at 99 meteorological stations across the Western-Sichuan Plateau, Sichuan Basin, Yunnan-Guizhou Plateau, and Guangxi Basin in Southwest China (SC). The results showed that the change point for ET0 series was detected in 1996 by the Cramer’s test method. Growing season ET0 declined significantly (P < 0.01) by 10.25mm/decade during 1961–1996, while it increased significantly (P < 0.05) during 1997–2016 by 8.12 mm/decade. Maximum temperature (Tmax) and minimum temperature (Tmin) exhibited a significant increasing trend during 1961–2016, while relative humidity (RH), wind speed (WS) and sunshine duration hours (SD) showed a significant downward trend in SC. ET0 was highly sensitive to RH, followed by SD, Tmax, Tmin and WS, whilst the sensitivity of ET0 to climatic variables fluctuated during the growing season. The results of attribution analysis showed that the decline in SD as well as WS allocated the significant decrease in ET0, offsetting the impact of increased temperature during 1961–1996. However, decreased RH and increased air temperature commonly reversed the trend in ET0 during 1997–2016 in SC. The contribution rate of each climatic variable exhibited great variations both temporally and spatially due to the differences in geographical location and climatic conditions. The increase in ET0 will result in higher water consumption for the growth of crops, especially for Western-Sichuan Plateau and Yunnan-Guizhou Plateau, appeared to have experienced a more significant increase (P < 0.05) from 1997 to 2016. The results can provide a guideline for the regional agricultural production administration and allocation of water resources in the context of ongoing climate change.

Suggested Citation

  • Jiang, Shouzheng & Liang, Chuan & Cui, Ningbo & Zhao, Lu & Du, Taisheng & Hu, Xiaotao & Feng, Yu & Guan, Jing & Feng, Yi, 2019. "Impacts of climatic variables on reference evapotranspiration during growing season in Southwest China," Agricultural Water Management, Elsevier, vol. 216(C), pages 365-378.
    • Handle: RePEc:eee:agiwat:v:216:y:2019:i:c:p:365-378
    DOI: 10.1016/j.agwat.2019.02.014
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377418313647
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2019.02.014?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mohammad Reza Najafi & Francis W. Zwiers & Nathan P. Gillett, 2015. "Attribution of Arctic temperature change to greenhouse-gas and aerosol influences," Nature Climate Change, Nature, vol. 5(3), pages 246-249, March.
    2. Tong, Ling & Kang, Shaozhong & Zhang, Lu, 2007. "Temporal and spatial variations of evapotranspiration for spring wheat in the Shiyang river basin in northwest China," Agricultural Water Management, Elsevier, vol. 87(3), pages 241-250, February.
    3. Ze-Xin Fan & Axel Thomas, 2013. "Spatiotemporal variability of reference evapotranspiration and its contributing climatic factors in Yunnan Province, SW China, 1961–2004," Climatic Change, Springer, vol. 116(2), pages 309-325, January.
    4. Tang, Bo & Tong, Ling & Kang, Shaozhong & Zhang, Lu, 2011. "Impacts of climate variability on reference evapotranspiration over 58 years in the Haihe river basin of north China," Agricultural Water Management, Elsevier, vol. 98(10), pages 1660-1670, August.
    5. Nyakudya, Innocent Wadzanayi & Stroosnijder, Leo, 2014. "Effect of rooting depth, plant density and planting date on maize (Zea mays L.) yield and water use efficiency in semi-arid Zimbabwe: Modelling with AquaCrop," Agricultural Water Management, Elsevier, vol. 146(C), pages 280-296.
    6. Ørum, Jens Erik & Boesen, Mads Vejlby & Jovanovic, Zorica & Pedersen, Søren Marcus, 2010. "Farmers' incentives to save water with new irrigation systems and water taxation--A case study of Serbian potato production," Agricultural Water Management, Elsevier, vol. 98(3), pages 465-471, December.
    7. Mojtaba Shadmani & Safar Marofi & Majid Roknian, 2012. "Trend Analysis in Reference Evapotranspiration Using Mann-Kendall and Spearman’s Rho Tests in Arid Regions of Iran," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(1), pages 211-224, January.
    8. Feng, Yu & Cui, Ningbo & Gong, Daozhi & Zhang, Qingwen & Zhao, Lu, 2017. "Evaluation of random forests and generalized regression neural networks for daily reference evapotranspiration modelling," Agricultural Water Management, Elsevier, vol. 193(C), pages 163-173.
    9. Kang, Shaozhong & Gu, Binjie & Du, Taisheng & Zhang, Jianhua, 2003. "Crop coefficient and ratio of transpiration to evapotranspiration of winter wheat and maize in a semi-humid region," Agricultural Water Management, Elsevier, vol. 59(3), pages 239-254, April.
    10. Feng, Yu & Jia, Yue & Cui, Ningbo & Zhao, Lu & Li, Chen & Gong, Daozhi, 2017. "Calibration of Hargreaves model for reference evapotranspiration estimation in Sichuan basin of southwest China," Agricultural Water Management, Elsevier, vol. 181(C), pages 1-9.
    11. Mushtaq, Shahbaz & Dawe, David & Lin, Hong & Moya, Piedad, 2006. "An assessment of the role of ponds in the adoption of water-saving irrigation practices in the Zhanghe Irrigation System, China," Agricultural Water Management, Elsevier, vol. 83(1-2), pages 100-110, May.
    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. Zhan, Cun & Liang, Chuan & Zhao, Lu & Zhang, Yaling & Cheng, Long & Jiang, Shouzheng & Xing, Liwen, 2021. "Multifractal characteristics analysis of daily reference evapotranspiration in different climate zones of China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 583(C).
    2. Ren, Pinpin & Huang, Feng & Li, Baoguo, 2022. "Spatiotemporal patterns of water consumption and irrigation requirements of wheat-maize in the Huang-Huai-Hai Plain, China and options of their reduction," Agricultural Water Management, Elsevier, vol. 263(C).
    3. Fan, Junliang & Ma, Xin & Wu, Lifeng & Zhang, Fucang & Yu, Xiang & Zeng, Wenzhi, 2019. "Light Gradient Boosting Machine: An efficient soft computing model for estimating daily reference evapotranspiration with local and external meteorological data," Agricultural Water Management, Elsevier, vol. 225(C).
    4. Zhang, Yaling & Guo, Li & Liang, Chuan & Zhao, Lu & Wang, Junqin & Zhan, Cun & Jiang, Shouzheng, 2022. "Encounter risk analysis of crop water requirements and effective precipitation based on the copula method in the Hilly Area of Southwest China," Agricultural Water Management, Elsevier, vol. 266(C).
    5. Sun, Juying & Wang, Genxu & Sun, Xiangyang & Hu, Zhaoyong & Lin, Shan & Wang, Fei & Yang, Yi, 2022. "New cognition on the response of reference evapotranspiration to climate change in China using an independent climatic driver system," Agricultural Water Management, Elsevier, vol. 262(C).

    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. Nam, Won-Ho & Hong, Eun-Mi & Choi, Jin-Yong, 2015. "Has climate change already affected the spatial distribution and temporal trends of reference evapotranspiration in South Korea?," Agricultural Water Management, Elsevier, vol. 150(C), pages 129-138.
    2. 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.
    3. Feng, Yu & Hao, Weiping & Li, Haoru & Cui, Ningbo & Gong, Daozhi & Gao, Lili, 2020. "Machine learning models to quantify and map daily global solar radiation and photovoltaic power," Renewable and Sustainable Energy Reviews, Elsevier, vol. 118(C).
    4. Yang, Xiaolin & Gao, Wangsheng & Shi, Quanhong & Chen, Fu & Chu, Qingquan, 2013. "Impact of climate change on the water requirement of summer maize in the Huang-Huai-Hai farming region," Agricultural Water Management, Elsevier, vol. 124(C), pages 20-27.
    5. Wu, Lifeng & Peng, Youwen & Fan, Junliang & Wang, Yicheng & Huang, Guomin, 2021. "A novel kernel extreme learning machine model coupled with K-means clustering and firefly algorithm for estimating monthly reference evapotranspiration in parallel computation," Agricultural Water Management, Elsevier, vol. 245(C).
    6. Zhang, Lei & Traore, Seydou & Cui, Yuanlai & Luo, Yufeng & Zhu, Ge & Liu, Bo & Fipps, Guy & Karthikeyan, R. & Singh, Vijay, 2019. "Assessment of spatiotemporal variability of reference evapotranspiration and controlling climate factors over decades in China using geospatial techniques," Agricultural Water Management, Elsevier, vol. 213(C), pages 499-511.
    7. Xing, Liwen & Cui, Ningbo & Liu, Chunwei & Zhao, Lu & Guo, Li & Du, Taisheng & Zhan, Cun & Wu, Zongjun & Wen, Shenglin & Jiang, Shouzheng, 2022. "Estimation of daily apple tree transpiration in the Loess Plateau region of China using deep learning models," Agricultural Water Management, Elsevier, vol. 273(C).
    8. Yan, Shicheng & Wu, Lifeng & Fan, Junliang & Zhang, Fucang & Zou, Yufeng & Wu, You, 2021. "A novel hybrid WOA-XGB model for estimating daily reference evapotranspiration using local and external meteorological data: Applications in arid and humid regions of China," Agricultural Water Management, Elsevier, vol. 244(C).
    9. Jingtao Qin & Xiaosen Wang & Xichao Fan & Mingliang Jiang & Mouchao Lv, 2022. "Whether Increasing Maize Planting Density Increases the Total Water Use Depends on Soil Water in the 0–60 cm Soil Layer in the North China Plain," Sustainability, MDPI, vol. 14(10), pages 1-13, May.
    10. Roy, Dilip Kumar & Lal, Alvin & Sarker, Khokan Kumer & Saha, Kowshik Kumar & Datta, Bithin, 2021. "Optimization algorithms as training approaches for prediction of reference evapotranspiration using adaptive neuro fuzzy inference system," Agricultural Water Management, Elsevier, vol. 255(C).
    11. Jia, Qianmin & Sun, Lefeng & Ali, Shahzad & Zhang, Yan & Liu, Donghua & Kamran, Muhammad & Zhang, Peng & Jia, Zhikuan & Ren, Xiaolong, 2018. "Effect of planting density and pattern on maize yield and rainwater use efficiency in the Loess Plateau in China," Agricultural Water Management, Elsevier, vol. 202(C), pages 19-32.
    12. Tang, Bo & Tong, Ling & Kang, Shaozhong & Zhang, Lu, 2011. "Impacts of climate variability on reference evapotranspiration over 58 years in the Haihe river basin of north China," Agricultural Water Management, Elsevier, vol. 98(10), pages 1660-1670, August.
    13. Tao, Hai & Diop, Lamine & Bodian, Ansoumana & Djaman, Koffi & Ndiaye, Papa Malick & Yaseen, Zaher Mundher, 2018. "Reference evapotranspiration prediction using hybridized fuzzy model with firefly algorithm: Regional case study in Burkina Faso," Agricultural Water Management, Elsevier, vol. 208(C), pages 140-151.
    14. Zamani, Omid & Azadi, Hossein & Mortazavi, Seyed Abolghasem & Balali, Hamid & Moghaddam, Saghi Movahhed & Jurik, Lubos, 2021. "The impact of water-pricing policies on water productivity: Evidence of agriculture sector in Iran," Agricultural Water Management, Elsevier, vol. 245(C).
    15. Chen, Shu & Shao, Dongguo & Tan, Xuezhi & Gu, Wenquan & Lei, Caixiu, 2017. "An interval multistage classified model for regional inter- and intra-seasonal water management under uncertain and nonstationary condition," Agricultural Water Management, Elsevier, vol. 191(C), pages 98-112.
    16. Li, Xiaolin & Tong, Ling & Niu, Jun & Kang, Shaozhong & Du, Taisheng & Li, Sien & Ding, Risheng, 2017. "Spatio-temporal distribution of irrigation water productivity and its driving factors for cereal crops in Hexi Corridor, Northwest China," Agricultural Water Management, Elsevier, vol. 179(C), pages 55-63.
    17. Festo Richard Silungwe & Frieder Graef & Sonoko Dorothea Bellingrath-Kimura & Emmanuel A Chilagane & Siza Donald Tumbo & Fredrick Cassian Kahimba & Marcos Alberto Lana, 2019. "Modelling Rainfed Pearl Millet Yield Sensitivity to Abiotic Stresses in Semi-Arid Central Tanzania, Eastern Africa," Sustainability, MDPI, vol. 11(16), pages 1-18, August.
    18. Ran, Hui & Kang, Shaozhong & Li, Fusheng & Du, Taisheng & Tong, Ling & Li, Sien & Ding, Risheng & Zhang, Xiaotao, 2018. "Parameterization of the AquaCrop model for full and deficit irrigated maize for seed production in arid Northwest China," Agricultural Water Management, Elsevier, vol. 203(C), pages 438-450.
    19. Weibin Zhang & Xiaochun Zha & Jiaxing Li & Wei Liang & Yugai Ma & Dongmei Fan & Sha Li, 2014. "Spatiotemporal Change of Blue Water and Green Water Resources in the Headwater of Yellow River Basin, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(13), pages 4715-4732, October.
    20. Zhao, Nana & Liu, Yu & Cai, Jiabing & Paredes, Paula & Rosa, Ricardo D. & Pereira, Luis S., 2013. "Dual crop coefficient modelling applied to the winter wheat–summer maize crop sequence in North China Plain: Basal crop coefficients and soil evaporation component," Agricultural Water Management, Elsevier, vol. 117(C), pages 93-105.

    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:eee:agiwat:v:216:y:2019:i:c:p:365-378. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    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.