首页 | 本学科首页   官方微博 | 高级检索  
     检索      

SWAT模拟耕作方式与盐分对区域土壤氮运移及作物产量影响
引用本文:王维刚,史海滨,李仙岳,孙亚楠,郑倩,张文聪,王国帅,周慧,闫妍,窦旭.SWAT模拟耕作方式与盐分对区域土壤氮运移及作物产量影响[J].农业工程学报,2022,38(3):55-65.
作者姓名:王维刚  史海滨  李仙岳  孙亚楠  郑倩  张文聪  王国帅  周慧  闫妍  窦旭
作者单位:1.内蒙古农业大学水利与土木建筑工程学院,呼和浩特 010018;2.高效节水技术装备与水土环境效应内蒙古自治区工程研究中心,呼和浩特 010018
基金项目:国家基金项目(51769024);内蒙古水利科技重大专项(213-03-99-303002-NSK2017-M1)
摘    要:耕作方式与土壤盐渍化是影响河套灌区氮素流失及作物产量的重要因素.明确不同耕作方式与盐渍化水平下硝态氮运移量及作物产量的变化,可为制定合理的灌区耕作措施及盐渍化治理方案提供理论依据,对于揭示灌区氮素流失控制及不同作物增产潜力具有重要意义.该研究基于验证后的SWAT(Soil and Water Assessment To...

关 键 词:土壤  盐分    SWAT模型  河套灌区  耕作方式  硝态氮运移  作物产量
收稿时间:2021/8/21 0:00:00
修稿时间:2021/12/1 0:00:00

Effects of tillage modes and soil salinity on regional nitrate nitrogen transport and crop yields using a SWAT model
Wang Weigang,Shi Haibin,Li Xianyue,Sun Yanan,Zheng Qian,Zhang Wencong,Wang Guoshuai,Zhou Hui,Yan Yan,Dou Xu.Effects of tillage modes and soil salinity on regional nitrate nitrogen transport and crop yields using a SWAT model[J].Transactions of the Chinese Society of Agricultural Engineering,2022,38(3):55-65.
Authors:Wang Weigang  Shi Haibin  Li Xianyue  Sun Yanan  Zheng Qian  Zhang Wencong  Wang Guoshuai  Zhou Hui  Yan Yan  Dou Xu
Institution:1. College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China; 2. High Efficiency Water-saving Technology and Equipment and Soil and Water Environment Effect in Engineering Research Center of Inner Mongolia Autonomous Region, Hohhot 010018, China
Abstract:A Soil and Water Assessment Tool (SWAT) model was selected to simulate the dynamic changes of water and fertilizer migration, and crop yields under different tillage modes and soil salinization levels. The Hetao Irrigation District with the complex spatial variability of soil salinity were taken as the research object, where three areas were divided: Jiefangzha, Yongji, and Yichang irrigation area. Some parameters were utilized for the simulation and verification of the model, including eight runoff and seven nitrate-nitrogen variables. At the same time, five parameters of crop growth were selected using the existing research. Finally, the specific values of each variable were measured at the outlets of irrigation areas. The soil types were also the Cumulic Anthrosols and Mollic Solonchaks in the study area. Four salinity levels were set under the two soil types, according to the grades of non-salinized soil (S1), lightly salinized soil (S2), moderately salinized soil (S3), and heavily salinized soil (S4). At the same time, five farming treatments were selected in the long-term farming mode: no-tillage management (CK), no tillage (T1), less tillage (T2), conventional spring tillage (T3), and template plowing (T4). A systematic investigation was then made on the effects of tillage modes and soil salinization on water production, crop nitrogen uptake, nitrate-nitrogen leaching and transportation, as well as the crop yields in the irrigation areas. As such, the salinized soil was be adjusted to reduce environmental pollution, while promoting the grain production, and the sustainable development of agriculture. The results show that the SWAT model with the calibrated parameters performed better than before to directly verify the runoff and nitrate nitrogen, where the determination coefficient R2, and the efficiency coefficient were not less than 0.69 and 0.58, respectively, while the absolute value of the relative error (RE) was less than 10%. The simulated and measured crop yields were basically distributed near the 1:1 line, where the efficiency coefficient and R2 values in the calibration and validation period were not less than 0.93 and 0.94, respectively, and the RE absolute value was less than 4%. The validated SWAT model presented an excellent performance to simulate the water production, nitrate-nitrogen transport, and crop yield in the irrigation areas. There were some significant effects of tillage modes and soil salinity on the total regional water production, crop nitrogen uptake, nitrate-nitrogen leaching, nitrate-nitrogen transport, and crop yield (P<0.05). Among them, the regional water production, nitrate-nitrogen leaching, nitrate-nitrogen transport run in different hydrological paths, whereas, the wheat yield gradually decreased, with the increase of tillage mixing depth and efficiency. The amount of nitrogen uptake by crops and the yield of corn and sunflower gradually increased, with the increase of mixing depth and efficiency. The nitrogen uptake of template plowing crops increased by 11.78% on average, and the nitrate-nitrogen leached volume was reduced by 16.5% on average, indicating an effective reduction in the soil nutrient loss and groundwater pollution. In addition, the output of maize and sunflower increased by 18.91% and 6.39% respectively, but the output of wheat decreased by 14.68%, compared with no-tillage treatment. The increase in the soil salinity significantly increased the total regional water production, and nitrate-nitrogen leaching (except for the Mollic Solonchaks). The effective water holding capacity of the soil layer greatly contributed to reducingthe underground nitrate nitrogen transport, as well as the amount of crop nitrogen uptake and crop yield. The yields of wheat, maize, and sunflower in the treatment of heavily saline soil were significantly reduced by 19.15%, 27.31%, and 26% on average (P<0.05), compared with non-salinized soil. There was a more significant impact of soil salinity on the regional water production, soil nutrients, and crop yields, compared with the tillage modes. Therefore, a strong recommendation can be addressed to focus on the prevention, control, and treatment of regional soil salinization, in order to better manage the serious pollution in the irrigation areas and crop yields. This finding can also provide a theoretical basis for the sustainable development of agriculture in the Hetao Irrigation District.
Keywords:soils  salt  nitrogen  SWAT model  Hetao Irrigation District  tillage method  nitrate nitrogen transport  crop yield
点击此处可从《农业工程学报》浏览原始摘要信息
点击此处可从《农业工程学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号