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在再生水灌溉下,寻找最佳肥料类型和用量以平衡产量和土壤 GHG 排放。

Finding the optimal fertilizer type and rate to balance yield and soil GHG emissions under reclaimed water irrigation.

机构信息

College of Water Resources & Civil Engineering, China Agricultural University, No. 17 Tsinghua East Road, Haidian District, 100083 Beijing, China.

College of Water Resources & Civil Engineering, China Agricultural University, No. 17 Tsinghua East Road, Haidian District, 100083 Beijing, China.

出版信息

Sci Total Environ. 2020 Aug 10;729:138954. doi: 10.1016/j.scitotenv.2020.138954. Epub 2020 Apr 28.

DOI:10.1016/j.scitotenv.2020.138954
PMID:32387773
Abstract

Water and inorganic nitrogen fertilizer have a notable impact on crop yield and greenhouse gas (GHG) emissions from soil. Reclaimed water (RW) is widely used for irrigation when there are shortages of water resources. It is very important to control yield and greenhouse gas emissions by fertilization under reclaimed water irrigation (RWI). The study consisted of a continuous test that evaluated three types of fertilizer treatments (urea, amine, and slow-release fertilizer) and a no-fertilizer treatment under three-year RWI and four fertilizer levels (150, 200, 250 and 300 kg.N.ha) under one-year RWI to determine the best fertilizer to support maize production and reduce GHG (CO and NO) emissions from soil; further, the applicability of RWI in the DNDC model was verified. For many years, GHG emissions under RWI showed an increasing trend, but the effect was not significant. A strong correlation was found between the GHG emissions flux and fertilizer amount, and a threshold fertilization amount existed between 220 and 260 kg.N.ha that minimized yield-scaled NO emissions and the ratio of GHG cumulative emission to yield (GHG/Y). The results indicated that the optimal amounts of SF and UF under RWI were 240 and 225 kg.N.ha by second-order equation and the DNDC model, respectively, and the rate better balanced the yield and GHG emissions.

摘要

水和无机氮肥对作物产量和土壤温室气体(GHG)排放有显著影响。在水资源短缺时,再生水(RW)被广泛用于灌溉。在再生水灌溉(RWI)下,通过施肥来控制产量和温室气体排放非常重要。本研究进行了一项连续试验,评估了三种肥料处理(尿素、胺和缓释肥)和一种不施肥处理,在三年 RWI 和一年 RWI 下的四个肥料水平(150、200、250 和 300 kg.N.ha)下,以确定最佳肥料以支持玉米生产并减少土壤温室气体(CO 和 NO)排放;进一步验证了 RWI 在 DNDC 模型中的适用性。多年来,RWI 下的温室气体排放呈上升趋势,但影响不显著。发现温室气体排放通量与肥料用量之间存在很强的相关性,在 220 至 260 kg.N.ha 之间存在一个阈值施肥量,可以最小化产量标准化的 NO 排放和温室气体累积排放量与产量的比值(GHG/Y)。结果表明,RWI 下 SF 和 UF 的最佳用量分别为 240 和 225 kg.N.ha,通过二次方程和 DNDC 模型分别得出,该用量更好地平衡了产量和温室气体排放。

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