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云南省不同生態(tài)水文分區(qū)參考作物蒸散量算法適用性評價
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國家自然科學(xué)基金項(xiàng)目(51239009、41171034)、陜西省水利科技計(jì)劃項(xiàng)目(2016slkj—11)和陜西省教育廳省級重點(diǎn)實(shí)驗(yàn)室科研計(jì)劃項(xiàng)目(14JS059)


Adaptation Evaluation for Reference Evapotranspiration Calculation Methods in Different Eco-hydrological Regionalization of Yunnan Province
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    將云南省分為3個區(qū)域(Ⅰ,滇西—滇西南山原與高山多水區(qū);Ⅱ,滇西北—滇東北山原河谷中水區(qū);Ⅲ,滇中北高原中水—少水區(qū)),基于36個氣象站點(diǎn)1958—2013年逐日氣象資料,以Penman—Monteith法為標(biāo)準(zhǔn),利用線性回歸法、均方根誤差、平均偏差和Nash—Sutcliffe系數(shù)對Hargreaves—Samani法、Irmark—Allen法、Priestley—Taylor法、Makkink法、1948—Penman法、Penman—Van Bavel法、Turc法、FAO 24 Radiation法和Jensen—Haise法9種算法的計(jì)算精度進(jìn)行對比。結(jié)果表明:1948—Penman法在云南省的適用性最強(qiáng)、計(jì)算精度最高,F(xiàn)AO 24 Radiation法與Jensen—Haise法誤差較大,其中Ⅰ區(qū)適用性最好的是Hargreaves—Samani法,Ⅱ、Ⅲ區(qū)1—6月份為1948—Penman法,7—12月份為Priestley—Taylor法;在相對誤差空間分布中,Ⅰ區(qū)Hargreaves—Samani法、Irmark—Allen法、Priestley—Taylor法、1948—Penman法的相對誤差均在20%以下;Ⅱ、Ⅲ區(qū)中,Priestley—Taylor法、1948—Penman法的相對誤差較小,為0~20%,同時在Ⅲ區(qū)中,Irmark—Allen法的相對誤差也相對較??;因此,計(jì)算云南省的參考作物蒸散量時,整個區(qū)域推薦1948—Penman法,滇西—滇西南山原與高山多水區(qū)推薦Hargreaves—Samani法,滇西北—滇東北山原河谷中水區(qū)和滇中北高原中水—少水區(qū)推薦Priestley—Taylor法。

    Abstract:

    Adaptation evaluation for reference evapotranspiration (ET0) methods can obtain simplified calculation methods of ET0 under the conditions of lacking meteorological data and increase the accuracy with the lack of meteorological data in the large area. To obtain the best calculation methods and assess its adaptability, Yunnan Province was divided into three regions, including the mountain plateau and high mountain water abundance region in western and southwestern of Yunnan ([KG-*4]Ⅰ[KG-*4]), the mountain plateau and river valley water middle region in northwestern and northeastern of Yunnan ([KG-*4]Ⅱ[KG-*4]) and the plateau water middle and shortage region in central and northern of Yunnan ([KG-*4]Ⅲ[KG-*4]), and the daily ET0 was calculated in 36 stations from 1958 to 2013. Ten kinds of methods, such as FAO 56 Penman—Monteith, Hargreaves—Samani, Irmark—Allen, Pristley—Taylor, Makkink, 1948 Penman, Penman—Van Bavel, Turc, FAO 24 Radiation and Jensen—Haise, were used to calculate the daily ET0 of each station of Yunnan Province. Penman—Monteith method was used as the standard method to calculate the daily ET0 because of its accuracy, and the precision of other methods was evaluated by the linear regression coefficient, the daily relative root mean square error, the mean bias error and the coefficient of Nash—Sutcliffe. The results showed that 1948—Penman method had the strongest applicability and the highest calculation accuracy, and Radiation FAO 24 method and Jensen—Haise method had large error. Among all the methods, Hargreaves—Samani method was the best one in region Ⅰ, and 1948—Penman method was the most appropriate from January to June while Priestley—Taylor method was the most suitable from July to December of each year for regions Ⅱ and Ⅲ. In the spatial distribution of relative error, the relative error of Hargreaves—Samani method, Irmark—Allen method and Priestley—Taylor method was below 20%, so the three methods were appropriate for region I, and the relative error of Priestley—Taylor method and 1948—Penman method was in the range of 0~20%, as the minimum in regions Ⅱ and Ⅲ, and the relative error of Irmark—Allen method was small in region Ⅱ. When reference crop evapotranspiration was calculated in Yunnan Province, as a consequence, 1948—Penman method was recommended in the whole region, Hargreaves—Saman method was recommended in mountain plateau and high mountain water abundance region in western and southwestern of Yunnan, Priestley—Taylor method was recommended in mountain plateau and river valley water middle region in northwestern and northeastern of Yunnan.

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符娜,宋孝玉,夏露,李藍(lán)君,孟春芳.云南省不同生態(tài)水文分區(qū)參考作物蒸散量算法適用性評價[J].農(nóng)業(yè)機(jī)械學(xué)報,2017,48(5):208-217. FU Na, SONG Xiaoyu, XIA Lu, LI Lanjun, MENG Chunfang. Adaptation Evaluation for Reference Evapotranspiration Calculation Methods in Different Eco-hydrological Regionalization of Yunnan Province[J]. Transactions of the Chinese Society for Agricultural Machinery,2017,48(5):208-217.

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  • 收稿日期:2016-09-13
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  • 在線發(fā)布日期: 2017-05-10
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