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如何在保证水稻产量的同时减少稻田温室气体排放一直是学术界关注的重要问题。本研究在宁波市大嵩江流域内选取了12块稻田样地,在采集研究样地土壤特性和管理方式数据的基础上,使用DNDC(DeNitrification-DeComposition)模型模拟估算了不同管理模式下样地的水稻产量及其对应的温室气体CH_4(甲烷)和N_2O(氧化亚氮)排放量。结果表明,CH_4的排放量和稻田的淹水深度以及N_2O的排放量和N肥(尿素)的施用量之间均存在明显的相关关系——通过优化管理方式可以在保持水稻产量的同时实现温室气体减排。具体方式有:改变稻田淹水天数,选取高产低排稻种,控制N肥使用量和减少秸秆还田,然而其效果则又与土壤特性有很大的关系。
How to reduce greenhouse gas emissions from paddy fields while ensuring the yield of rice has always been an important issue of concern to the academic community. In this study, 12 paddy field plots were selected in the Dasongjiang River Basin of Ningbo City. Based on the data of soil characteristics and management methods of the study plots, the DNDC (DeNitrification-DeComposition) model was used to simulate the plots of different management modes Of rice yield and its corresponding greenhouse gas CH_4 (methane) and N_2O (nitrous oxide) emissions. The results showed that there was a significant correlation between CH_4 emissions and flooding depths of paddy fields, N_2O emission and N fertilization (urea) application rate. The optimized management mode could achieve the greenhouse effect Gas emission reduction. Specific ways are: to change the days of flooding rice, select high-yielding low-row rice varieties to control the amount of N fertilizer and reduce straw, but its effect has a great relationship with the soil properties.