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多径流出口水稻田非点源污染试验研究及验证

廖雅 苏保林 豆俊峰 徐云强 李丽芬

廖雅, 苏保林, 豆俊峰, 徐云强, 李丽芬. 多径流出口水稻田非点源污染试验研究及验证[J]. 环境科学研究, 2020, 33(11): 2484-2492. doi: 10.13198/j.issn.1001-6929.2020.10.08
引用本文: 廖雅, 苏保林, 豆俊峰, 徐云强, 李丽芬. 多径流出口水稻田非点源污染试验研究及验证[J]. 环境科学研究, 2020, 33(11): 2484-2492. doi: 10.13198/j.issn.1001-6929.2020.10.08
LIAO Ya, SU Baolin, DOU Junfeng, XU Yunqiang, LI Lifen. Experimental Study and Verification of Non-Point Source Pollution from Paddy Fields with Multiple Runoff Outlets[J]. Research of Environmental Sciences, 2020, 33(11): 2484-2492. doi: 10.13198/j.issn.1001-6929.2020.10.08
Citation: LIAO Ya, SU Baolin, DOU Junfeng, XU Yunqiang, LI Lifen. Experimental Study and Verification of Non-Point Source Pollution from Paddy Fields with Multiple Runoff Outlets[J]. Research of Environmental Sciences, 2020, 33(11): 2484-2492. doi: 10.13198/j.issn.1001-6929.2020.10.08

多径流出口水稻田非点源污染试验研究及验证

doi: 10.13198/j.issn.1001-6929.2020.10.08
基金项目: 

国家水体污染控制与治理科技重大专项 2017ZX07301003

详细信息
    作者简介:

    廖雅(1996-), 女, 湖南岳阳人, 201921470014@mail.bnu.edu.cn

    通讯作者:

    苏保林(1965-), 男, 云南安宁人, 副教授, 博士, 主要从事环境系统分析、非点源污染研究, subl@bnu.edu.cn

  • 中图分类号: X592

Experimental Study and Verification of Non-Point Source Pollution from Paddy Fields with Multiple Runoff Outlets

Funds: 

National Major Science and Technology Program for Water Pollution Control and Treatment, China 2017ZX07301003

  • 摘要: 为验证一种水稻田非点源污染原位观测方法的准确性和适应性,以北京市上庄镇某试验水稻田为例,应用原位观测方法分别在水稻田进水口附近(4#观测点)和出水口附近(2#观测点)安装水位计观测稻田水深,利用同步观测的降雨数据以及田内5个采样点定期采集的水质数据,进行非点源污染试验研究,探究基于同一块水稻田不同位置的水深观测数据是否对该方法的应用产生影响.结果表明:①晒田期间,由于4#观测点处于相对低洼的位置,其水深数据显示4 d的无水期,与实际晒田时间相符,而2#观测点水深数据显示10 d无水.②基于2#、4#观测点水深数据得到总蒸散发和渗漏损失、总径流量以及灌溉量的相对偏差分别为1.3%、1.0%、1.8%;应用原位观测方法估算出该水稻田的灌溉量在2 620~2 710 m3之间.③基于2#、4#观测点水深得到的TN、NH4+-N、NO3--N、TP、CODCr输出系数的相对偏差在0.8%~8.0%之间.研究显示:水位计安装位置对原位观测方法应用的影响不大,且主要体现在晒田期的水深观测,建议将水位计安装在稻田相对低洼处,以确保能够完整地监测水稻生长季的水深变化;应用该方法能准确识别水稻田的径流量和灌溉量,对具有多个径流出口的水稻田非点源污染试验具有较好的准确性和适应性.

     

  • 图  1  试验水稻田示意及水量平衡组分

    Figure  1.  Schematic diagram and water balance components of the study paddy field

    图  2  2#、4#观测点水深及降雨量变化

    Figure  2.  Water depth and precipitation hydrograph of the observation points 2# and 4#

    图  3  不同生长时期内2#、4#观测点EF变化过程

    Figure  3.  EF hydrograph the observation points 2# and 4# in different growing period

    图  4  水稻田田面水CODCr、TN、TP、NH4+-N、NO3--N浓度的变化

    Figure  4.  Surface water concentration CODCr, TN, TP, NH4+-N and NO3--N of the paddy field

    图  5  2#、4#观测点的0.5 h、日尺度的水深变化

    Figure  5.  variation of water depth in half an hour and in a day of the observation points 2# and 4#

    图  6  不同采样点污染物浓度比较

    Figure  6.  Comparison of pollutant concentrations at different sampling points

    表  1  基于2#、4#观测点水深的水稻田出流估计

    Table  1.   Calculation of runoff outflow based on water depth of the observation points 2# and 4#

    场次 时间 Pi/mm 2#观测点 4#观测点 径流类型
    (Hi+1-Hi)/mm EFi/mm Rout, i/mm (Hi+1-Hi)/mm EFi/mm Rout, i/mm
    1 6月6—7日 22.6 -7.1 6.3 17.1 -9.0 6.9 17.8 降雨径流
    2 6月13—14日 12.1 -6.2 6.1 6.2 -5.3 7.0 3.4 降雨径流
    3 6月20日 5.5 -3.6 5.5 3.6 -3.5 6.6 2.5 降雨径流
    4 7月5日 0.0 -15.0 7.9 7.1 -15.3 7.9 8.2 灌溉回归
    5 7月16—19日 43.4 -13.8 5.6 9.9 -37.3 6.6 17.4 降雨径流
    6 7月24—26日 0.0 -64.5 7.8 41.2 -58.3 7.3 36.4 人工排水
    7 7月30—31日 40.0 -42.7 8.9 25.1 -43.6 9.3 25.1 降雨径流
    8 8月8日 0.0 -18.2 7.5 10.7 -18.5 8.5 10.0 灌溉回归
    9 8月10—12日 22.0 -32.8 7.0 14.6 -33.4 7.5 12.0 降雨径流
    10 8月19日 0.0 -14.2 7.5 6.7 -14.1 7.4 6.7 灌溉回归
    下载: 导出CSV

    表  2  水稻田水量收支平衡

    Table  2.   Water balance based on water depth variation of the observation points 2# and 4#   mm

    观测点 P Rin H1 EF Rout Qin Qout
    2# 208.3 541.9 70 678 142.2 820.2 820.2
    4# 208.3 523.2 104 696 139.5 835.9 835.9
    注:H1表示试验水稻田从开始水深观测之前水稻田中的初始水量;Qin表示试验田在开始水深观测到结束观测之间总获得的水量,为PRinH1之和;Qout表示试验水稻田在开始水深观测到结束观测之间总损失的水量,为EF、Rout之和.
    下载: 导出CSV

    表  3  部分水稻田污染物输出系数对比

    Table  3.   Comparison of pollution export coEFficients of some studied paddy field

    年份 研究区 输出系数/(kg/hm2) 数据来源
    TN TP NH4+-N NO3--N
    2018 上海市奉贤区 4.61 0.44 1.5 0.37 文献[31]
    2015 上海市青浦农业园区 23.91 2.67 文献[30]
    2012 北京市海淀区上庄镇 8.8 0.47 文献[21]
    2011 海河流域 4.77 2.08 文献[33]
    2006 韩国索罗流域 3.9 0.77 文献[34]
    2014 北京市海淀区上庄镇 6.03 0.37 1.54 0.40 该研究 2#观测点
    2014 北京市海淀区上庄镇 7.08 0.39 1.80 0.43 该研究 4#观测点
    下载: 导出CSV
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  • 收稿日期:  2020-06-27
  • 修回日期:  2020-09-17
  • 刊出日期:  2020-11-25

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