Journal of Natural Resources, Volume. 35, Issue 6, 1472(2020)

Calculation of reference crop evapotranspiration in Shaanxi province based on ANFIS

Ke-li LI and Xin ZHANG*
Author Affiliations
  • College of Water Resources and Architectural Engineering, Northwest Agriculture and Forestry University, Yangling 712100, Shaanxi, China
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    References(13)

    [3] ALLEN R G, DROOGERS P. Estimating reference evapotranspiration under inaccurate data conditions[D]. Irrigation and Drainage Systems, 16, 33-45(2002).

    [4] MAKKINK G F. Testing the Penman formula by means of lysimeters[D]. Journal of the Institution of Water and Environment Management, 11, 277-288(1957).

    [5] ALLEN R G, PEREIRA L S, RAES D et al[D]. Crop evapotranspiration-guidelines for computing crop water requirements. Rome: FAO Irrigation and Drainage Paper, 56, 1998.

    [6] IRMAK S, MUTIIBWA D, PAYERO J et al. Modeling soybean canopy resistance from micrometeorological and plant variables for estimating evapotranspiration using one-step Penman-Monteith approach[D]. Journal of Hydrology, 507, 1-18(2013).

    [7] WANG Z K, WU P T, ZHAO X N et al. GANN models for reference evapotranspiration estimation developed with weather data from different climatic regions[D]. Theoretical and Applied Climatology, 116, 481-489(2014).

    [8] CUI N B, FENG Y, ZHANG Q W et al. Improvement of Makkink model for reference evapotranspiration estimation using temperature data in Northwest China[D]. Journal of Hydrology, 566, 264-273(2018).

    [14] FENG G, GAO F, YING Q Y et al. Evaluation of reference evapotranspiration methods in arid, semiarid, and humid regions[D]. Journal of the American Water Resources Association, 6, 1752-1688(2017).

    [16] AMIR H G H, MAJID R F, MOZHGAN S et al. Protocol for the estimation of drinking water quality index (DWQI) in water resources: Artificial neural network (ANFIS) and ArcGIS[D]. Methods X, 6, 1021-1029(2019).

    [19] JOSE J L, LANDERAS G, ORTIZ B A. Comparison of artificial neural network models and empirical and semi-empirical equations for daily reference evapotranspiration estimation in the Basque County (northern Spain)[D]. Agricultural Water Management, 95, 553-565(2008).

    [20] GRANATA F. Evapotranspiration evaluation models based on machine learning algorithms: A comparative study[D]. Agricultural Water Management, 217, 303-315(2019).

    [28] JAIN S, KAUR M. Reference evapotranspiration estimation and modeling of the Punjab Northern India using deep learning[D]. Computers and Electronics in Agriculture, 156, 387-398(2019).

    [29] KISI Ö, LANDERAS G, SHIRI J et al. Daily reference evapotranspiration modeling by using genetic programming approach in the Basque Country (Northern Spain)[D]. Journal of Hydrology, 415, 302-316(2012).

    [30] JANG J S R. ANFIS: Adaptive-network-based fuzzy inference system[D]. IEEE Transactions on Systems Man and Cybernetics, 23, 665-685(1993).

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    Ke-li LI, Xin ZHANG. Calculation of reference crop evapotranspiration in Shaanxi province based on ANFIS[J]. Journal of Natural Resources, 2020, 35(6): 1472

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    Paper Information

    Received: Apr. 11, 2019

    Accepted: --

    Published Online: Oct. 17, 2020

    The Author Email: ZHANG Xin (zhxin@nwsuaf.edu.cn)

    DOI:10.31497/zrzyxb.20200618

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