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基于 DNDC 模型的多因素对马铃薯农田氮氧化物排放和产量的影响。

Multifactor effects on the NO emissions and yield of potato fields based on the DNDC model.

机构信息

College of Agronomy, Shenyang Agricultural University, Shenyang, 110866, China.

出版信息

Environ Sci Pollut Res Int. 2022 Apr;29(17):25448-25460. doi: 10.1007/s11356-021-17700-2. Epub 2021 Nov 29.

Abstract

Maintaining or increasing grain yields while also reducing the emissions of field agricultural greenhouse gases is an important objective. To explore the multifactor effects of nitrogen fertilizer on nitrous oxide (NO) emissions and the yield of potato fields and to verify the applicability of the denitrification-decomposition (DNDC) model when used to project the NO emission load and yield, this research chooses a potato field in Shenyang northeast China from 2017 to 2019 as the experiment site. The experiment includes four nitrogen levels observing the emission of NO by static chamber/gas chromatograph techniques. The results of this study are as follows: (1) DNDC has a good performance regarding the projection of NO emissions and yields. The model efficiency index EFs were 0.45 ~ 0.88 for NO emissions and 0.91, 0.85, and 0.85 for yields from 2017 to 2019. (2) The annual precipitation, soil organic carbon, and soil bulk density had the most significant influence on the accumulated NO emissions during the growth period of potatoes. The annual precipitation, annual average temperature, and CO mass concentration had the most significant influences on yield. (3) Under the premise of a normal water supply, sowing potatoes within 5 days after the 5-day sliding average temperature in this area exceeds 10℃ can ensure the temperature required for the normal growth of potatoes and achieve the purpose of maintaining and increasing yield. (4) The application of 94.5 kg·hm nitrogen and 15 mm irrigation represented the best results for reducing NO emissions while also maintaining the yield in potato fields.

摘要

在保持或增加粮食产量的同时,减少农田温室气体排放是一个重要目标。为了探讨氮肥对一氧化二氮(NO)排放和马铃薯产量的多因素影响,并验证硝化-反硝化(DNDC)模型在预测 NO 排放负荷和产量方面的适用性,本研究选择中国沈阳东北部的一个马铃薯田作为实验场地,时间跨度为 2017 年至 2019 年。实验包括四个氮素水平,采用静态箱/气相色谱技术观测 NO 排放。本研究结果如下:(1)DNDC 在预测 NO 排放和产量方面表现良好。模型效率指数 EFs 分别为 2017 年至 2019 年 NO 排放的 0.45~0.88 和产量的 0.91、0.85 和 0.85。(2)年降水量、土壤有机碳和土壤容重对马铃薯生长期间累积 NO 排放的影响最大。年降水量、年平均温度和 CO 质量浓度对产量的影响最大。(3)在正常供水的前提下,当地 5 天滑动平均温度超过 10℃后 5 天内播种马铃薯,可以保证马铃薯正常生长所需的温度,达到保持和提高产量的目的。(4)施氮 94.5kg·hm 和灌溉 15mm 可实现减少 NO 排放和保持马铃薯田产量的最佳效果。

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