The use of numerical methods in the design of a formula that returns the surface of the leaves of Phragmites australis (Cav.) Trin. Ex Steud.

Q3 Environmental Science Limnological Review Pub Date : 2020-03-01 DOI:10.2478/limre-2020-0004
K. Krzyżanowska, Paweł Krzyżanowski
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Abstract

Abstract The paper presents the results of calculations and a verification of numerical models developed for estimating the surface of leaves of the common reed (Phragmites australis (Cav.) Trin. Ex Steud.). The research sample consisted of 137 leaves collected from the rush zone of Lake Raduńskie Górne in 2018. The total area of leaves obtained for testing was 1932.3 cm2. To derive a formula that returns the surface of common reed foliage regression models were used – MLR (Multiple Linear Regression) and SLR (Stepwise Linear Regression). It has been shown that the measurement of basic leaf dimensions (i.e. length – L, mid-width – WM and maximum width – WX) makes it possible to define an empirical formula which, with an average accuracy of 99.9%, allows the real surface of leaves to be estimated. The modelling results were compared with formulas currently used in practice, and the measurement errors were determined using these formulas. It has been shown that the formulas used to date are subject to RMSE to the value of 1.19-2.52. The application of the developed formula (A = 0.4486 – 0.046 L + 7.9267 WM – 5.8121 WX + 0.5853 L • WX) will significantly reduce errors in leaf surface estimation (RMSE = 0.86) and thus the amount of reed transpiration and evapotranspiration, especially in the case of handling small samples (number of leaves and measurements).
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数值方法在设计一个公式中的应用,该公式返回芦苇(Cav.)Trin的叶片表面。Ex Steud。
摘要本文介绍了芦苇(Phragmites australis, Cav.)叶片表面估算数值模型的计算结果和验证。指标。Steud交货)。研究样本包括2018年从Raduńskie Górne湖涌流区收集的137片叶子。试验得到的叶片总面积为1932.3 cm2。采用多元线性回归(MLR)和逐步线性回归(SLR)两种回归模型,推导出芦苇叶表面的回归公式。研究表明,通过测量叶片的基本尺寸(即长度- L,中宽- WM和最大宽- WX),可以定义一个经验公式,该公式的平均精度为99.9%,可以估计叶片的真实表面。将建模结果与目前实际使用的公式进行了比较,并利用这些公式确定了测量误差。已经表明,迄今为止使用的公式的RMSE值为1.19-2.52。应用所开发的公式(A = 0.4486 - 0.046 L + 7.9267 WM - 5.8121 WX + 0.5853 L•WX)将显著减少叶片表面估计的误差(RMSE = 0.86),从而减少芦苇蒸腾和蒸散量,特别是在处理小样本(叶片数量和测量值)的情况下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Limnological Review
Limnological Review Environmental Science-Ecology
CiteScore
1.60
自引率
0.00%
发文量
0
审稿时长
16 weeks
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