首页> 外文会议>Agriculture and Hydrology Applications of Remote Sensing; Proceedings of SPIE-The International Society for Optical Engineering; vol.6411 >For assessing yields under extreme climatic events using crop simulation models: Aerosol layer effects on growth and yield of wheat, rice and sugarcane
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For assessing yields under extreme climatic events using crop simulation models: Aerosol layer effects on growth and yield of wheat, rice and sugarcane

机译:使用作物模拟模型评估极端气候事件下的产量:气溶胶层对小麦,水稻和甘蔗生长和产量的影响

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Aerosol presence reduces sunshine hours and the amount of radiation received. The extent of reduction in radiation during this extreme event (January-March 1999) was relatively lower, as the extent of the diffused radiation increases. During this time, the reduction ranged from 5-12%. The differential response of the crops (wheat, rice and sugarcane) under changed proportion of direct and diffused radiation due to haze was seen through using crop simulation models (WTGROWS for wheat, DSSAT for rice and sugarcane). The growing conditions were optimal. Regions chosen for simulation were north-west India for wheat, coastal and southern regions for rice and north-eastern, western and southern regions for sugarcane. Simulation results were obtained in terms of phenology, biomass and economic yield at harvest. There was slight reduction in the yield of these three crops due to reduction in the radiation, but coupled weather changes (lowering of temperature, etc.) due to cloudy condition could benefit the crops through phenology modifications and other crop process activities, which can some times give higher yields of crops under the aerosol layer when compared to no haze layer situation. Diffused radiation is more photo-synthetically active, and this feature has still to be included in most of the existing crop growth models, as the existing crop models do not differentiate between direct and diffused radiation. The scope of using remote sensing for assessing the haze layer (spatial and temporal extent) could be employed in the crop simulation models for regional impact analysis.
机译:气溶胶的存在减少了日照时间和减少的辐射量。随着扩散辐射的程度增加,在这种极端事件(1999年1月至3月)中辐射的减少程度相对较低。在此期间,减少幅度为5-12%。通过使用作物模拟模型(小麦为WTGROWS,水稻和甘蔗为DSSAT),观察到由于雾霾造成的直接和扩散辐射比例变化时,农作物(小麦,水稻和甘蔗)的差异响应。生长条件是最佳的。选择进行模拟的区域是印度西北部的小麦,沿海和南部的稻米,以及东北,西部和南部的甘蔗。从物候,生物量和收获时的经济产量方面获得了模拟结果。由于辐射的减少,这三种农作物的产量略有下降,但是由于阴天导致的天气变化(温度降低等)可能通过物候变化和其他农作物加工活动使农作物受益。与没有雾霾层的情况相比,在气溶胶层下的高倍数作物的产量更高。扩散辐射具有更强的光合作用活性,并且此功能仍必须包含在大多数现有的作物生长模型中,因为现有的作物模型无法区分直接辐射和扩散辐射。使用遥感技术评估雾霾层(空间和时间范围)的范围可以用于区域影响分析的作物模拟模型中。

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