THE INTERACTIVE MODELING AND JOINT PREVENTION OF WATER POLLUTION BETWEEN SURFACE WATER AND GROUNDWATER IN MAOZHOU RIVER BASIN
-
摘要: 在茅洲河流域地表水与地下水补排关系定性分析的基础上,建立SWAT和SWAT-LUD模型对流域水的循环转化过程进行数值模拟,定量计算地表水与地下水的交互量并估算污染贡献量。结果显示:2017年地下水排泄补给河水水量为1.6×108 m3,携带的NH3-N、TP和COD总量分别为0.9×104,0.2×104,1.7×104 t,约占河流总污染指标的3%;地表水侧向补给地下水水量为1.0×106 m3,携带的NH3-N、TP、COD量分别为11,1.1,510 t,约占地下水补给地表水污染指标总量的2%;洪水泛滥区河水入渗补给地下水水量为6.7×106 m3。基于以上研究,建议采取河道底泥清淤、建设交互带渗透式反应墙、河口建闸、交互带水污染预警与监测等工程措施对茅洲河流域地表水与地下水污染进行联合防治。Abstract: Based on the qualitative analysis of relationship of recharge and discharge between surface water and groundwater in Maozhou River Basin, we established SWAT and SWAT-LUD models to simulate the circulation and transformation process of watershed water, quantified the interactive volume between surface water and ground water, and estimated the pollutant contribution. The results showed that the volume of groundwater recharge to surface water was 1.6×108 m3 in 2017, with the amount of NH3-N、TP and COD at 0.9×104, 0.2×104 and 1.7×104 t, respectively, and approximately contributed 3% of the total river pollutants; the volume of surface water recharge to groundwater was 1.0×106 m3, with the amount of NH3-N, TP and COD at 11 t, 1.1 t and 510 t, respectively, and contributed 2% of the total pollutants of groundwater recharge surface water; the amount of groundwater recharged by river water infiltration in flood area was 6.7×106 m3. On the basis of above research, we suggested to adopt engineering measures, such as sediment dredging, construction of permeable reaction wall in interactive zone, building sluice on river estuary, watershed water environmental early-warning and monitoring in interactive zone, to implement joint prevention of surface water and groundwater pollution in Maozhou River Basin.
-
Key words:
- SWAT model /
- interactive volume distribution /
- Maozhou River Basin /
- surface water /
- groundwater
-
[1] 朱金峰,刘悦忆,章树安,等.地表水与地下水相互作用研究进展[J].中国环境科学,2017,37(8):3002-3010. [2] 凌郡鸿,张依章,王民浩,等.深圳茅洲河下游柱状沉积物中碳氮同位素特征[J].环境科学,2017,38(12):5081-5089. [3] 王磊,刘亭亭,谢建治.基于SWAT模型的张家口清水河流域土地利用情景变化对径流影响研究[J].水土保持研究,2019,26(4):245-251. [4] CHANG C,SUN D M,FENG P,et al.Impacts of nonpoint source pollution on water quality in the Yuqiao Reservoir[J].Environmental Engineering Science,2017,34(6):418-432. [5] SUN X L,BERNARD-JANNIN L,GRUSSON Y,et al.Using SWAT-LUD model to estimate the influence of water exchange and shallow aquifer denitrification on water and nitrate flux[J].Water,2018,10(4):528. [6] 许自舟,周旭东,隋伟娜,等.基于SWAT模型的碧流河流域入海径流模拟研究[J].海洋环境科学,2020,39(2):216-222. [7] 董立俊,董晓华,曾强,等.气候变化条件下雅砻江流域未来径流变化趋势研究[J].气候变化研究进展,2019,15(6):596-606. [8] 付潇然,王东,栾清华,等.大尺度无管流数据城区SWMM构建及模拟-Ⅱ.模型参数校验及暴雨径流模拟分析[J].水科学进展,2020,31(1):51-60. [9] 王胜,许红梅,高超,等.基于SWAT模型分析淮河流域中上游水量平衡要素对气候变化的响应[J].气候变化研究进展,2015,11(6):402-411. [10] 李星,徐学选,宇苗子,等.SWAT模型在黄土丘陵区燕沟流域的应用研究[J].水土保持通报,2012,32(3):141-144.
点击查看大图
计量
- 文章访问数: 221
- HTML全文浏览量: 40
- PDF下载量: 7
- 被引次数: 0