Study on dynamic variation of nitrogen concentration in surface water of paddy field and its rapid detection method：Taking single-season rice fields in the middle reaches of the Yangtze River as an example

doi:10.14088/j.cnki.issn0439-8114.2022.10.009

Abstract

Abstract: In order to reveal the dynamic variation of nitrogen concentration in field water and explore its rapid detection methods, in-situ monitoring of nitrogen concentration in paddy field surface water and conventional water quality parameters were carried out during the rice growth period in 2018. The results showed that during the growth period of rice, the TN and NH₄⁺-N concentrations in the surface water of artificially planted rice fields dropped rapidly to 4.03 mg/L and 3.02 mg/L, respectively, one week after basal fertilizer application, and the changes became stable before the next fertilization. And TN and NH₄⁺-N reached the peak 2 days after topdressing, and stabilized in about 1 week. The nitrogen dynamic characteristics of the machine-transplanted rice field surface water were basically the same as those of artificial planting. The TN and NH₄⁺-N of the field surface water at the basal fertilizer period decreased from the peak value, which was approximately in line with the exponential decay law. The TN concentration of the artificially planted and machine-transplanted paddy fields in the two weeks after the peak of the basal fertilizer period attenuated 62% and 72%, respectively, and the attenuation amplitudes of NH₄⁺-N were 80% and 83%, respectively. With DO, EC, pH, ORP as the independent variables, and TN as the dependent variable, a multiple linear regression model was obtained. TN emissions were classified by the TN limit of 15 mg/L（Class A standard） in GB 18918—2002 and the TN limit of 2 mg/L （Class V） in GB 3838—2002. The accuracy of the model prediction was 80%, which could basically meet the needs of water environment management.

Key words: surface water of paddy field, nitrogen, dynamic variation, rapid detection

CLC Number:

S143.1

WANG Hua, SHEN Wang-zheng, CHEN Zi-zhen, ZHANG Liang, ZHUANG Yan-hua, ZHANG Fu-lin, FAN Xian-peng. Study on dynamic variation of nitrogen concentration in surface water of paddy field and its rapid detection method：Taking single-season rice fields in the middle reaches of the Yangtze River as an example[J]. HUBEI AGRICULTURAL SCIENCES, 2022, 61(10): 56-63.

References

[1] 尹黎明. 稻田氮磷面源污染防控研究进展[J].湖南水利水电,2017(6):5-9.
[2] 龚世飞,丁武汉,肖能武,等.丹江口水库核心水源区典型流域农业面源污染特征[J].农业环境科学学报, 2019,38(12):2816-2825.
[3] LI S S,LIU H B,ZHANG L,et al.Potential nutrient removal function of naturally existed ditches and ponds in paddy regions: Prospect of enhancing water quality by irrigation and drainage management[J/OL].Science of the total environment,2020,718.https://doi.org/10.1016/j.scitotenv.2020.137418.
[4] SVANBÄCK A,ULÉN B,ETANA A. Mitigation of phosphorus leaching losses via subsurface drains from a cracking marine clay soil[J].Agriculture, ecosystems and environment,2014,184:124-134.
[5] YANG S H,PENG S Z,XU J Z,et al.Effects of water saving irrigation and controlled release nitrogen fertilizer managements on nitrogen losses from paddy fields[J].Paddy and water environment,2015,13(1): 71-80.
[6] ZAMAN M,BLENNERHASSETT J D.Effects of the different rates of urease and nitrification inhibitors on gaseous emissions of ammonia and nitrous oxide, nitrate leaching and pasture production from urine patches in an intensive grazed pasture system[J].Agriculture, ecosystems and environment,2010,136(3-4):236-246.
[7] 田玉华,贺发云,尹斌,等.不同氮磷配合下稻田田面水的氮磷动态变化研究[J].土壤,2006,38(6):727-733.
[8] HUA L L,ZHAI L M, LIU J,et al.Characteristics of nitrogen losses from a paddy irrigation-drainage unit system[J/OL].Agriculture, ecosystems and environment,2019,285(1-4).https://doi.org/10.1016/j.agee.2019.106629.
[9] 余素华,吴佳宁.地表水中电导率与氯化物、高锰酸盐指数的相关性研究[J].广州化工,2019,47(14): 115-117,130.
[10] 刘方谊,范先鹏,夏颖,等.三峡库区典型流域农业面源氮素输出特征[J].湖北农业科学,2018,57(10):31-36.
[11] 廖海洋,杜宇,温志渝.嵌入式多参数微小型水质监测系统的设计[J].电子技术应用,2011,37(1): 35-37,41.
[12] 许曰强. 水质远程智能化监控系统设计及其在农业领域中的应用[D].西安:西安邮电大学, 2017.2-3.
[13] 戴建军,樊小林,梁有良,等.应用电导法测定肥料溶液浓度标准曲线的校验研究[J].磷肥与复肥,2005(4): 15-17.
[14] 戴建军,樊小林,喻建刚.电导率法快速检测缓释复合肥养分释放的探讨[J].中国土壤与肥料,2010(4): 83-88.
[15] ZHANG L,SCHOLZ M,MUSTAFA A,et al.Application of the self-organizing map as a prediction tool for an integrated constructed wetland agroecosystem treating agricultural runoff[J].Bioresource technology,2009,100(2):559-565.
[16] 王丽平,郑丙辉.大宁河叶绿素a的因子分值-多元线性回归预测模型研究[J].长江流域资源与环境,2011,20(9):1120-1124.
[17] 陆颂,付国楷,潘成勇,等.滇池流域不同片区径流水质特征及快速显示指标研究[A].中国土木工程学会全国排水委员会2015年年会论文集[C].中国土木工程学会水工业分会排水委员会,2015.11.
[18] WU T H,ZHU G W,ZHU M Y,et al.Use of conductivity to indicate long-term changes in pollution processes in Lake Taihu, a large shallow lake[J].Environmental science and pollution research,2020,27(17):21376-21385.
[19] 张一丁. 水田氮磷运移规律及排水净化再利用研究[D].哈尔滨:东北农业大学,2012.68-71.
[20] 吕亚敏,吴玉红,李洪达,等.减肥措施对稻田田面水氮、磷动态变化特征的影响[J].生态与农村环境学报,2018,34(4):349-355.
[21] 柳云龙,卢小遮,龚峰景,等.稻田施肥后田面水氮素动态变化特征[J].江苏农业科学,2017,45(21):268-271.
[22] 文想成,张泰,董世杰,等.长江中下游平原单季稻田氮素径流损失风险评估[J].水土保持学报,2021,35(1):24-35.
[23] 段小丽,张富林,倪承凡,等.前氮后移对水稻产量形成和田面水氮素动态变化的影响[J].水土保持学报,2020,34(1):255-261.
[24] 张富林,吴茂前,夏颖,等.江汉平原稻田田面水氮磷变化特征研究[J].土壤学报,2019,56(5):1190-1200.
[25] 朱利群,田一丹,李慧,等.不同农艺措施条件下稻田田面水总氮动态变化特征研究[J].水土保持学报,2009,23(6):85-89.
[26] 宫亮,隽英华,王建忠,等.稻田田面水氮磷素动态特征研究[J].中国农学通报,2014,30(20):168-174.
[27] 王小治,朱建国,宝川靖和,等.施用尿素稻田表层水氮素的动态变化及模式表征[J].农业环境科学学报,2004(5):852-856.
[28] 聂玉莲,熊桂云,刘冬碧,等.江汉平原典型小区域沟渠底泥氮磷含量及其空间变异[J].湖北农业科学,2020,59(24):75-81.
[29] 王健,向峰,邱飞,等.水质预测模型研究进展[J].环境科学导刊,2018,37(4):63-67.