摘要
为研究暴雨后稻田氮素的排放过程,在宿迁市船行灌区开展了试验,测定了常规灌排和控制灌排模式下暴雨后NH_4^+—N、NO_3^-—N的浓度和稻田排水量,并用DRAINMOD-N Ⅱ模型对暴雨后稻田排水量、NH_4^+—N和NO_3^-—N流失负荷进行模拟。试验结果表明:控制灌排模式可以显著减少雨后稻田排水量和氮素排放量;在两种灌排模式下,DRAINMOD-N Ⅱ模型对雨后排水量模拟值与测量值的相对误差RE在2%以内,相关系数R在0.98以上,模拟效率系数NS在0.96以上,对NH_4^+—N和NO_3^-—N流失负荷的模拟值与测量值的相对误差在5%以内,相关系数R在0.95以上,模拟效率系数NS在0.90以上,因此通过模型率定得到的各参数值较为合理,可以利用该DRAINMOD-NⅡ模型对未来暴雨后稻田排水量、NH_4^+—N和NO_3^-—N流失负荷进行预测。
In order to explore the process of nitrogen emission from paddy field after rainstorm,a field experiment was conducted at Chuanhang irrigation district,located in Suqian,Jiangsu Province.The concentration of NH4＋—N and NO3-—N,paddy drainage were measured at conventional and controlled irrigation and drainage mode.And the DRAINMOD-N Ⅱ mode was used to simulate the drainage load of paddy fields,NH4＋—N and NO3-—N loss after rainstorm.Measured results show that： controlled irrigation and drainage mode can significantly reduce paddy field drainage and nitrogen emission after rainstorm.The relative error RE between the simulated and measured values of drainage after rain using the DRAINMOD-N Ⅱ model is less than 2%,the correlation coefficient R is above 0.98,and the simulation efficiency NS is more than 0.96.The relative error RE between the simulated and measured values of NH4＋—N and NO3-—N is less than 5%,the correlation coefficient R is above 0.95,and the simulation efficiency NS is more than 0.90.Therefore,the parameters obtained by model calibration are more reasonable,and the DRAINMOD-N Ⅱ model can be used to predict the drainage after rainstorm,NH4＋—N and NO3-—N loss in the future.
作者
王姣
俞双恩
李彧伟
王梅
张逸迪
高世凯
WANG Jiao;YU Shuangen;LI Yuwei;WANG Mei;ZHANG Yidi;GAO Shukai(College of Water Conservancy and ttydropower Engineering, Hohai University, Nanfing 210098, China;Key Laboratory of Efficient Irrigation - Drainage and Agricultural Soil - Water Environment in Southern China, Ministry of Education, Hohai University, Nanfing 210098, China)
出处
《水资源与水工程学报》
CSCD
2018年第2期246-252,共7页
Journal of Water Resources and Water Engineering
基金
国家自然科学基金项目(51479063
41401628)
