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Agricultural Biomass Removal Rate Estimation for Real-time Optimization of Single Pass Crop Grain and Biomass Harvesting System

机译:用于单季作物谷物和生物质收获系统实时优化的农业生物质去除率估算

摘要

As the demand for biomass feedstocks grows, agricultural residue may be removed in a way that compromises soil sustainability due to increased soil erosion, depletion of organic matter and deterioration of soil physical characteristics. Since soil erosion from agricultural fields depends on several factors including soil type, field terrain and cropping practice, the amount of biomass that can be removed while maintaining soil tilth varies substantially over space and time. The RUSLE soil erosion model, which takes into account these spatio-temporal variations, was used to estimate sustainable agricultural biomass removal rates for single pass crop grain and biomass harvesting system. Soil type, field topography, climate data, management practices and conservation practices were stored in individual databases on a state and/or county basis. Geographic position of the field was used as a spatial key to access the databases to select site specific information such as soil, topography and management related parameters. These parameters along with the actual grain yield were provided as the inputs to the RUSLE model to calculate the yearly soil loss per unit area of the field. An iterative technique was then used to determine the site-specific biomass removal rate that keeps the soil loss below the soil loss threshold (T) of the field. The sustainable removal rate varied substantially with field terrain, crop management practices and soil type. At a location in a field in Winnebago county, Iowa with ~1% slope steepness and conventional tillage practice, up to 98% of 11 Mg/ha total corn stover was available for collection with negligible soil loss. The study, however, has considered only the soil erosion tolerance level and has neglected the potential effects in organic matter content and other biophysical properties of the soil due to excessive biomass removal. There was no biomass available to remove with conventional tillage practice in steep slopes such as a location in Crawford County, Iowa field with a 12.6% slope. If no-till crop practices were adopted, up to 70% of available biomass could be collected at the same location with 12.6% slope. In case of soybean-corn rotation with no-till practices, about 98% biomass was available for removal at the locations in Winnebago field with low slope steepness, whereas 77% biomass was available at a location in the Crawford field with 7.5% slope steepness. Sustainable removal rates varied substantial over an agricultural field, which showed the importance of site specific removal rate estimation. These sustainable removal rates will be provided as recommended rates for the producers to use during a single pass crop grain and biomass harvesting operation. This type of site-specific biomass removal rate estimation is necessary to achieve field level sustainability in agricultural biomass production and collection systems.
机译:随着对生物质原料需求的增长,由于土壤侵蚀增加,有机物耗竭和土壤物理特性变差,可能以损害土壤可持续性的方式去除农业残留物。由于农田的土壤侵蚀取决于多种因素,包括土壤类型,田间地形和耕作习惯,因此在保持土壤倾角的同时可以清除的生物量随时间和空间变化很大。考虑到这些时空变化的RUSLE土壤侵蚀模型被用于估计单道作物和生物量收集系统的可持续农业生物量去除率。在州和/或县的基础上,将土壤类型,田间地形,气候数据,管理措施和保护措施存储在各个数据库中。字段的地理位置被用作访问数据库的空间键,以选择特定地点的信息,例如土壤,地形和与管理相关的参数。这些参数以及实际的谷物产量作为RUSLE模型的输入,用于计算田间单位面积的年土壤损失。然后使用一种迭代技术来确定特定位置的生物量去除速率,该速率将土壤流失保持在田地的土壤流失阈值(T)以下。可持续清除率随田间地形,作物管理实践和土壤类型的不同而有很大差异。在爱荷华州Winnebago县的一块田地中,坡度约为1%,并且采用传统的耕作方法,在总的11 Mg / ha玉米秸秆中,有98%的土壤可供收集,而土壤损失可忽略不计。然而,该研究仅考虑了土壤侵蚀的耐受水平,而忽略了由于过多去除生物质而对土壤有机质含量和其他生物物理特性的潜在影响。在陡峭的斜坡上(例如,爱荷华州田地克劳福德县,坡度为12.6%的位置),无法通过传统耕作方式去除生物量。如果采用免耕措施,则可以在同一地点以12.6%的坡度收集多达70%的可用生物量。如果采用免耕的轮作玉米玉米,则在Winnebago田地中可将约98%的生物量去除,坡度低,而在Crawford田地中,可去除77%的生物量,坡度为7.5%。 。可持续的清除率在一个农业领域中差异很大,这表明了特定地点清除率估算的重要性。这些可持续的清除率将作为建议的排放率,供生产者在单程作物谷物和生物质收获操作中使用。这种位置特定的生物量去除率估算对于实现农业生物量生产和收集系统中的田间水平可持续性是必要的。

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