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参考作物腾发量计算方法在玛纳斯河流域的应用比较 总被引:1,自引:0,他引:1
基于玛纳斯河流城4个气象站莫索湾、炮台、石河子、乌兰乌苏1961-2005年的日观测气象数据,采用SWAT2000模型里引入的Penman- Monteith, Hargreaves, Priestley-Taylor方法计算每日参考作物腾发量(ETo),比较计算结果之间的差异性.结果表明,莫索湾站与炮台站Hargre... 相似文献
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Remotely sensed (RS) data is a major source to obtain spatialdata required for hydrological models. The challenge for thefuture is to obtain besides the more direct observable data(landcover, leaf area index, digital elevation model andevapotranspiration), non-visible data such as soilcharacteristics, groundwater depth and irrigation practices.In this study we have explore the option of using inversemodeling to obtain these non-RS-visible data. For a commandarea in Haryana, India, we applied for the 2000–2001 rabiseason a RS-GIS-combined inverse modeling approach to derivenon-RS-visible data required in the regional application ofhydrological models. A Genetic Algorithm loaded stochasticphysically based soil-water-atmosphere-plant model (SWAP) wasdeveloped for the inverse problem and used in the study. Theresults showed good agreement with the inventoried data suchas soil hydraulic properties, sowing dates, groundwaterdepths, irrigation practices and water quality. The deriveddata could be used to predict the state of the system at anytime in the cropping season, which can be used to evaluateoperational management strategies. 相似文献
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作物节水灌溉需水规律研究 总被引:17,自引:4,他引:17
基于节水灌溉条件下作物需水量试验资料,分析了控制灌溉和覆膜旱作节水灌溉的水稻需水规律以及节水高效灌溉模式下冬小麦、夏玉米和棉花作物的需水规律。结果表明,节水灌溉模式通过对水稻、冬小麦、夏玉米和棉花等作物产生的生长调控作用与补偿生长效应,使植株蒸腾量和棵间蒸发量较大幅度减少,各阶段需水量、需水强度和需水模系数均发生显著变化,形成了节水灌溉模式的主要农作物新的需水规律。可为节水灌溉制度的制定、节水型灌区动态配水及灌溉预报等提供科学依据。 相似文献
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日光温室作物蒸发蒸腾量的计算方法研究及其评价 总被引:13,自引:0,他引:13
对FAO推荐计算参考作物蒸发蒸腾量的Penman-Monteith(缩写为P-M)公式,在日光温室微气候的条件应用作了详细的分析。将P-M公式分为2个部分,即辐射项(ETrad)和空气动力学项(ETaero),推导出了计算温室内参考作物蒸发蒸腾量的P-M修正公式,解决了P-M公式假定温室内风速为“0”所引起的一系列问题。并根据2004年和2005年温室内实测气象数据和水面蒸发对其进行了验证,通过相关分析得出用修正后的P-M公式计算作物蒸发蒸腾量比FAO推荐的P-M公式计算值误差小、精度高。建议在日光温室里使用修正后的P-M公式计算参考作物的蒸发蒸腾量。 相似文献
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Nyland R. Falkenberg Giovanni Piccinni J. Tom Cothren Daniel I. Leskovar Charlie M. Rush 《Agricultural Water Management》2007
The applicability of commercially available remote sensing instrumentation was evaluated for site-specific management of abiotic and biotic stress on cotton (Gossypium hirsutum L.) grown under a center pivot low energy precision application (LEPA) irrigation system. This study was conducted in a field where three irrigation regimes (100%, 75%, and 50% ETc) were imposed on areas of Phymatotrichum (root rot) with the specific objectives to (1) examine commercial remote sensing instrumentation for locating areas showing biotic and abiotic stress symptomology in a cotton field, (2) compare data obtained from commercial aerial infrared photography to that collected by infrared transducers (IRTs) mounted on a center pivot, (3) evaluate canopy temperature changes between irrigation regimes and their relationship to lint yield with IRTs and/or IR photography, and (4) explore the use of deficit irrigation and the use of crop coefficients for irrigation scheduling. Pivot-mounted IRTs and an IR camera were able to differentiate water stress among irrigation regimes. The IR camera distinguished between biotic (root rot) and abiotic (drought) stress with the assistance of groundtruthing. The 50% ETc regime had significantly higher canopy temperatures than the other two regimes, which was reflected in significantly lower lint yields when compared to the 75% and 100% ETc regimes. Deficit irrigation down to 75% ETc had no impact on lint yield, indicating that water savings were possible without reducing yield. 相似文献
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The standardized ASCE Penman–Monteith and FAO-56 equations were used to estimate reference evapotranspiration (ET0) using estimated and measured net radiation (Rn) and soil heat flux (G), based on hourly and daily meteorological data. The estimates were evaluated against lysimeter measurements. The results indicate that using measured or estimated values of Rn and G can have significant effect on the accuracy of the ET0 estimations, especially when calculations were made on an hourly basis. The FAO-56 version performed very well during the irrigation season on a daily basis. The use of measured Rn and G did not improve ET0 estimation on a daily basis, therefore, the use of estimated Rn and G appears to be dependable when calculations are based on 24-h weather data. When daily ET0 was calculated from hourly estimations, the results were different depending on the version used. The ASCE version was more accurate, especially when Rn and G were measured. Therefore, measurement of Rn and G may have potential to improve estimation only when daily ET0 is calculated from hourly estimations. The PM FAO-56 version was always a little less accurate than the ASCE version. For hourly calculations, using a constant surface resistance (as in FAO-56 version), the PM method underpredicted for high evaporative demand and vice versa. The ASCE version performed better than PM FAO-56 version when Rn and G were measured and estimated. Therefore, ASCE version tended to provide quite accurate values of hourly ET0, even using estimated values of Rn and G. As conclusion, the methods proposed by FAO-56 for estimating Rn and G tended to produce accurate estimates for daily and hourly ET0 under semiarid conditions and can be used with some degree of confidence for estimating ET0. In addition, results suggest that the ASCE standardized equation on an hourly basis improved the accuracy of ET0 estimation with respect to the FAO-56 version. 相似文献
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参考作物蒸发蒸腾量的气象因子响应模型 总被引:6,自引:1,他引:6
基于江苏省南通市2000~2004年的旬气象资料,用FAO推荐的Penman-Monteith公式计算了参考作物蒸发蒸腾量,研究了参考作物蒸发蒸腾量与最高气温、最低气温、平均气温、相对湿度、日照时数、风速和气压等气象因素间的关系,建立了参考作物蒸发蒸腾量的响应模型.结果表明,参考作物蒸发蒸腾量与"温度因子"的关系最强,其次为"湿度和日照因子","风速因子"也有一定的影响,"气压因子"影响作用则稍弱;建立的气象因子响应模型模拟精度较高,可以简化参考作物蒸发蒸腾量计算. 相似文献