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Nitrogen mineralization in two calcareous soils treated with raw organic amendments

机译:用未经处理的有机改良剂处理的两种钙质土壤中的氮矿化

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This study examined the mineralization of nitrogen (N) in two calcareous soils (sandy loam and clay soil) treated with the main types of raw amendments, using a laboratory incubation procedure over 40 weeks. At the end of the incubation time, mineralized N in treated soils ranged from 165 to 1,005 mg kg~(-1) with sandy loam and from 85 to 1,105 mg kg~(-1) with clay soil. The results indicated that poultry manure induced the highest level of N mineralization. In general, the doses of amendments that were applied appeared to present an environment risk of nitrate (NO~_3"-N) leaching, with the exception of the municipal waste compost. In contrast, N immobilization occurred in the two soils amended with wheat and sunflower residues. The N availability characteristics of wheat and sunflower indicated that the accumulation of large concentrations of NC>3~-N in soil was unlikely to arise from the agricultural use of these materials. The amount of N released from other amendments was high, which indicates that application rates should be reduced, or alternative amendments used, so as to minimize leaching losses in regions where groundwater quality is of concern. The amendments were ranked based on the inorganic N they supplied in the following order: poultry manure > sewage sludge > potato > sheep manure > municipal waste compost. Simple exponential and power models were fitted to all experimental data. These models can be used in describing N mineralization, predicting the amounts of N mineralized over time and in reducing N leaching.
机译:这项研究使用实验室温育程序,在40周的时间内检查了使用主要类型的原始改良剂处理过的两种钙质土壤(砂壤土和黏土)中的氮(N)矿化。孵育结束时,砂壤土处理过的土壤中矿化态氮的含量范围为165至1,005 mg kg〜(-1),黏土土壤中的矿化态氮含量为85至1,105 mg kg〜(-1)。结果表明,家禽粪便诱导了最高水平的氮矿化。一般而言,除城市垃圾堆肥外,施用的修正剂剂量似乎存在硝酸盐(NO〜_3“ -N)浸出的环境风险。相反,在用小麦改良的两种土壤中固氮小麦和向日葵的氮素有效利用特征表明,在农业上使用这些材料不太可能在土壤中积累大量的NC> 3〜-N,而其他改良剂释放的N量很高。 ,这表明应降低施肥量或使用其他修正案,以尽量减少关注地下水质量的地区的淋失损失,修正案基于其所供应的无机氮的等级顺序为:家禽粪便>污水污泥>马铃薯>绵羊粪肥>城市垃圾堆肥所有实验数据均采用简单的指数和幂模型,这些模型可用于描述ng矿化,预测随着时间的推移矿化的N量,并减少N的淋失。

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