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Modelling of solar radiation influenced by topographic shading - evaluation and application for precision farming

机译:地形阴影影响的太阳辐射建模-精确农业的评价与应用。

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Solar radiation is the major energy source on earth. Until now, little attention has been spent on how the spatially differencing solar radiation affects crop production and causes spatial crop yield differences in agricultural fields. For homogeneous soil conditions one would expect a similar crop yield all over the field. However yield variability is often observed even though management and soil conditions are relatively homogeneous. The objective of this study was to investigate, whether the distribution of solar radiation influenced by surface topography contributes to crop yield variability.For a hummocky region in Luettewitz (State of Saxony, Germany) a Digital Elevation Model (DEM) was obtained by Laser-Altimetry with 1 m spatial resolution. In such a terrain, the amount of incoming solar radiation is affected by the topography. For a given point the amount of shading differs throughout a day and a year causing spatial differences of radiation and soil temperature. Using the GIs Arc/Info and the SRAD-Module from the TapesG-package the short wave incoming radiation was calculated based on a 6 m by 6 m grid cell size for a field site of 20 ha. The crop growth and nitrogen model "HERMES" was adapted to take into account site specific solar radiation in the calculation of biomass production and nitrogen and water dynamics. Model runs with and without topographic shading were performed for 225 points and compared against combine harvested grain yield for 1998 and 1999.Good agreements were observed between simulated and measured shortwave solar radiation. A spatially related pattern (north or south exposed positions) could be observed for HERMES model runs including site specific solar radiation. Other factors like previous landuse or moisture distribution in flowlines could be identified additionally as influencing crop grain yield development. (C) 2004 Elsevier Ltd. All rights reserved.
机译:太阳辐射是地球上的主要能源。迄今为止,很少有注意力集中在空间差异的太阳辐射如何影响农作物产量并在农田中引起空间农作物产量差异上。对于均匀的土壤条件,人们希望整个田间都能获得相似的作物产量。但是,即使管理和土壤条件相对均一,也经常观察到产量变化。这项研究的目的是调查受表面地形影响的太阳辐射的分布是否会影响作物的产量变异性。对于位于卢塞特维茨(德国萨克森州)的丘陵区,通过激光分析获得了数字高程模型(DEM),具有1 m空间分辨率的测高仪。在这样的地形中,入射的太阳辐射量受地形影响。对于给定的点,阴影的数量在一天和一年中会有所不同,从而导致辐射和土壤温度的空间差异。使用来自TapesG封装的GIs Arc / Info和SRAD-Module,基于20 m的现场站点,基于6 m x 6 m的网格单元大小,计算了短波入射辐射。调整了作物生长和氮素模型“ HERMES”,以在计算生物量,氮素和水动力学时考虑特定地点的太阳辐射。在有和没有地形阴影的情况下进行了225个点的模型运行,并与1998年和1999年联合收割的谷物收成进行了比较。在模拟和测量的短波太阳辐射之间观察到了很好的一致性。对于HERMES模型运行(包括特定地点的太阳辐射),可以观察到与空间相关的模式(向北或向南暴露的位置)。其他因素,例如先前的土地利用或流水线中的水分分布,也可以确定为影响农作物产量的发展。 (C)2004 Elsevier Ltd.保留所有权利。

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