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首页> 外文期刊>Journal of Water and Land Development >Performance evaluation of solar radiation equations for estimating reference evapotranspiration (ETo) in a humid tropical environment
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Performance evaluation of solar radiation equations for estimating reference evapotranspiration (ETo) in a humid tropical environment

机译：潮湿热带环境中估算参考蒸散（ETO）的太阳辐射方程的性能评价

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Solar radiation (Rs) is an essential input for estimating reference crop evapotranspiration, ETo. An accurate estimate of ETo is the first step involved in determining water demand of field crops. The objective of this study was to assess the accuracy of fifteen empirical solar radiations (Rs) models and determine its effects on ETo estimates for three sites in humid tropical environment (Abakaliki, Nsukka, and Awka). Meteorological data from the archives of NASA (from 1983 to 2005) was used to derive empirical constants (calibration) for the different models at each location while data from 2006 to 2015 was used for validation. The results showed an overall improvement when comparing measured Rs with Rs determined using original constants and Rs using the new constants. After calibration, the Swartmana??Ogunlade (R2 = 0.97) and Chen 2 models (RMSE = 0.665 MJa??ma??2a??daya??1) performed best while Chen 1 (R2 = 0.66) and Bristowa??Campbell models (RMSE = 1.58 MJa??ma??2a??daya??1) performed least in estimating Rs in Abakaliki. At the Nsukka station, Swartmana??Ogunlade (R2 = 0.96) and Adeala models (RMSE = 0.785 MJa??ma??2a??daya??1) performed best while Hargreavesa??Samani (R2 = 0.64) and Chen 1 models (RMSE = 1.96 MJa??ma??2a??daya??1) performed least in estimating Rs. Chen 2 (R2 = 0.98) and Swartmana??Ogunlade models (RMSE = 0.43 MJa??ma??2a??daya??1) performed best while Hargreavesa??Samani (R2 = 0.68) and Chen 1 models (RMSE = 1.64 MJa??ma??2a??daya??1) performed least in estimating Rs in Awka. For estimating ETo, Adeala (R2 =0.98) and Swartmana??Ogunlade models (RMSE = 0.064 MJa??ma??2a??daya??1) performed best at the Awka station and Swartmana??Ogunlade (R2 = 0.98) and Chen 2 models (RMSE = 0.43 MJa??ma??2a??daya??1) performed best at Abakaliki while Angstroma??Prescotta??Page (R2 = 0.96) and El-Sebaii models (RMSE = 0.0908 mma??daya??1) performed best at the Nsukka station.
机译：太阳辐射（RS）是估算参考作物蒸散，ETO的必要输入。精确估计EtO是确定野外作物水需求的第一步。本研究的目的是评估十五个经验太阳辐射（RS）模型的准确性，并确定其对潮湿热带环境中三个地点的ETO估计的影响（Abakaliki，Nsukka和Awka）。来自美国国家航空航天局档案的气象数据（从1983年到2005年）用于在每个位置的不同模型中导出经验常数（校准），而2006年至2015年的数据用于验证。当使用新常数使用原始常数和rs测定的测量Rs时，结果表明了总体改进。校准后，Swartmana ?? Ogunlade（R2 = 0.97）和陈2型号（RMSE = 0.665 MJA ?? 2A ?? 1）在陈1（R2 = 0.66）和Bristowa ?? Campbell模型（RMSE = 1.58 MJA ?? 2A ?? Daya ?? 1）在估计Abakaliki估计卢比时。在Nsukka Station，Swartmana ?? Ogunlade（R2 = 0.96）和AdeAla型号（RMSE = 0.785 MJA ?? MA ?? 2a ?? 1）在Hargreaveaa ?? Samani（R2 = 0.64）和陈1模型（RMSE = 1.96 MJA ?? 2A ?? Daya ?? 1）在估计卢比时执行。陈2（r2 = 0.98）和swartmana ?? ogunlade模型（RMSE = 0.43 MJA ?? MA ?? 2a ?? 1）在Hargreaveaa ?? Samani（R2 = 0.68）和Chen 1型号（RMSE = 1.64 MJA ?? 2A ?? Daya ?? 1）在估计AWKA中的卢比中表现。用于估算Eto，AdeAla（R2 = 0.98）和Swartmana ?? Ogunlade模型（RMSE = 0.064 MJA ?? MA ?? Daya ?? 1）在AWKA站和Swartmana ogunlade（R2 = 0.98）和陈2型号（RMSE = 0.43 MJA ?? 2A ?? Daya ?? 1）在Abakaliki时表现在Angstrama ?? Prescotta ??页面（R2 = 0.96）和EL-SEBAII模型（RMSE = 0.0908 MMA？ ？Daya ?? 1）在NSUKKA站表演。

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