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水肥管理对鄱阳湖流域稻田温室气体排放的影响
引用本文:彭锃琳, 崔远来, 才硕, 刘博, 舒永红. 水肥管理对鄱阳湖流域稻田温室气体排放的影响[J]. 农业工程学报, 2020, 36(16): 85-93. DOI: 10.11975/j.issn.1002-6819.2020.16.011
作者姓名:彭锃琳  崔远来  才硕  刘博  舒永红
作者单位:1.武汉大学水资源与水电工程科学国家重点实验室,武汉 430072;2.江西省灌溉试验中心站,江西省高效节水与面源污染防治重点实验室,南昌 330201
基金项目:国家自然科学基金(51709180);江西省水利科技成果重点推广项目(201820GT05)
摘    要:为探明水肥管理模式对稻田温室气体(CH4,CO2和N2O)的影响规律,以鄱阳湖流域赣抚平原灌区稻田为研究对象,考虑间歇灌溉(W1)和淹灌(W0)2种灌溉模式,不施氮(N0)、减量施氮(N1,135 kg/hm2)和常规施氮(N2,180 kg/hm2)3种施氮水平,采用静态箱-气相色谱法测定气体排放量,结合产量计算温室气体排放强度。结果表明:稻田CH4和CO2排放通量全天内表现为单峰模式,CH4日排放峰值在14:00-15:00,CO2排放峰值提前约1~2 h,而N2O排放通量全天内则表现为上午、傍晚和深夜的三峰模式。08:00-11:00内3种气体校正系数和综合值均比较接近1,是进行田间观测的最佳时段。稻田CH4排放通量在生育前期迅速增长达到峰值,中后期相对平缓并伴有1~2个小峰值。间歇灌溉CH4排放通量较少。不同水肥处理下CO2排放的峰值出现次数一致,主要在分蘖前期、乳熟期和黄熟期。2种灌溉模式的CO2排放规律一致,但间歇灌溉下CO2排放量更多。稻田N2O的排放整体水平呈现较低状态,各处理的N2O排放峰值出现在抽穗开花期末。稻田温室气体排放引起的增温潜势受灌溉模式的影响极显著。与W0相比,W1在N0、N1、N2水平下分别降低增温潜势 36.1%、33.9%和23.2%(P<0.05)。地温和气温是重要的环境影响因子,CH4和CO2对地温的敏感性高于气温,9月典型日的温度敏感系数更高。W1N1处理的温室气体排放强度最低,从减排增产角度为鄱阳湖流域推荐的稻田水肥管理模式。

关 键 词:温室气体  排放  温度  水肥管理  日变化  稻田  鄱阳湖流域
收稿时间:2020-04-01
修稿时间:2020-07-10

Effects of different water and fertilizer managements on greenhouse gas emissions of rice fields in Poyang Lake Basin
Peng Zenglin, Cui Yuanlai, Cai Shuo, Liu Bo, Shu Yonghong. Effects of different water and fertilizer managements on greenhouse gas emissions of rice fields in Poyang Lake Basin[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2020, 36(16): 85-93. DOI: 10.11975/j.issn.1002-6819.2020.16.011
Authors:Peng Zenglin  Cui Yuanlai  Cai Shuo  Liu Bo  Shu Yonghong
Affiliation:1.State key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China;2.Jiangxi Center Station of Irrigation Experiment, Non-Point Source Pollution Preventing, Jiangxi Center Station of Irrigation Experiment, Nanchang 330201, China
Abstract:Abstract: Methane (CH4), carbon dioxide (CO2) and nitrous oxide (N2O) are three of important greenhouse gases discharged by paddy fields. Reducing greenhouse gas emissions from paddy fields plays a crucial role in slowing global warming. In order to evaluate the influence of different water and fertilizer management modes on CH4, CO2 and N2O emissions in paddy fields and to find out a recommended mode from the perspective of reducing greenhouse gas emission and maintaining rice yield, a field experiment was carried out to determine the effects of six treatments including two irrigation methods (intermittent irrigation and flooding irrigation, referred to as W1 and W0, respectively) and three application rates of nitrogen fertilizer (0, 135, 180 kg/hm2, referred to as N0, N1 and N2, respectively) on CH4, CO2 and N2O emissions in the medium rice fields between June and September, 2019. The test site was located at the experimental base (115°58? E, 28°26? N) of the Jiangxi Province Center Station of Irrigation Experiment, in the Ganfu Plain of Poyang Lake Basin characterized by a typical subtropical and humid monsoonal climate with an annual average temperature of 18.1 ℃ and an annual average rainfall of 1 634 mm. Closed static dark chamber-gas chromatography was used to collect gas fluxes during the rice-growing seasons and measure the diurnal variation of greenhouse gases in three typical days and dynamics of CH4, CO2 and N2O emissions during the whole growth season of rice. The Global Warming Potential (GWP) was calculated based on CO2 equivalents and combined with the yields to obtain the Greenhouse Gas Emissions Intensity (GHGI) of every treatment. The results showed that diurnal variation of CH4 and CO2 emissions were similar with single-peak curves and the peak occured at noon, and N2O emissions showed a trimodal curve pattern during the typical day. The time period of 08:00-11:00 a.m. was recommended to collect gas fluxes based on analysis of correction factors at different time periods. Irrigation treatments had an extremely significant effect on the CH4 emissions during the rice growing season, and accumulative CH4 emissions under W0 were higher than that under W1. The CO2 emission of N0 treatment was lower than that of N2 and N1 under W1, and also lower than that of N2 and N1 under W0. The N2O emission of N0 treatment was also lower than that of N2 and N1 under W1, and lower than that of N2 and N1 under W0. The treatment of W0 reduced CO2 and N2O emissions compared to W1. Soil and air temperature were both important environmental factors affecting greenhouse gas emissions from paddy fields. Based on regression analysis between greenhouse gases from paddy fields and temperature, the daily emission flux and temperature of CH4 and CO2 had significant effects at the levels of 0.01 and 0.05, respectively. The sensitivity of CH4 and CO2 to soil temperature at 10 cm was higher than that of air temperature in chambers. Compared with a typical day in August, the temperature sensitivity of a typical day in September was higher, and the difference between sensitive coefficients to air temperature and soil temperature was larger. In addition, two-way analysis of variance showed that water-fertilizer interactions had an extremely significant effect on both GWP and GHGI. The treatment of intermittent irrigation combined with reduced nitrogen fertilizer application rate (135 kg/hm2) had the lowest GHGI, and thus was a recommended water and fertilizer management mode for the paddy field in the Poyang Lake Basin.
Keywords:greenhouse gas   emission   temperature   water and fertilizer management   diurnal variation   paddy fields   Poyang Lake Basin
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