面向水环境改善的城市河网动态水环境容量
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X26

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国家自然科学基金(41877531)


Dynamic water environment capacity of urban river network for water environment improvement
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    摘要:

    为掌握城市河网动态水环境容量变化规律,构建了基于“空-地-水”一体化模型体系的城市河网动态水环境容量计算模型,以粤港澳大湾区惠州市金山湖流域为研究区域,定量核算了2017年金山湖流域COD和TP动态水环境容量。结果表明,模型模拟的流量、COD和TP浓度率定、验证的相对误差均在14.04%以内;2017年,金山湖流域COD和TP水环境容量整体呈先增大后减小的趋势,受降雨影响显著,逐日容量变化范围分别为238.55~3 027.49 kg/d和3.73~58.02 kg/d;枯水期水环境容量较小且与降水量负相关;丰水期的大雨或暴雨时期水环境容量明显提升,中小雨时期COD容量与降水量负相关,TP反之;保障生态基流能明显改善容量不足的问题,全年动态生态流量保障对金山湖流域水质达标率提升效果明显。

    Abstract:

    In order to master the variation law of dynamic water environmental capacity of urban river network, a “air-ground-water” integrated calculation model of dynamic water environmental capacity of urban river network was constructed. Taking Jinshan Lake Basin in Huizhou City, Guangdong, Hong Kong and Macao Great Bay Area as a typical area, the dynamic water environmental capacity of COD and TP in Jinshan Lake Basin in 2017 was quantitatively calculated. The results show that the relative errors of calibration and verification of flow, COD and TP concentrations simulated by the model are within 14. 04%. In 2017, the overall water environmental capacity of COD and TP in Jinshan Lake Basin increased first and then decreased, which was significantly affected by rainfall. The daily capacity variations range of COD and TP were 238. 55~3 027. 49 kg/d and 3. 73~58. 02 kg/d, respectively. The water environment capacity in dry season is small and negatively correlated with rainfall. The water environmental capacity increases obviously in heavy rain or rainstorm period in wet season. The COD capacity is negatively correlated with rainfall in moderate and light rain period, and the TP is the opposite. Ensuring ecological base flow can significantly improve the problem of insufficient capacity, and the dynamic ecological flow guarantee has an obvious effect on improving the water quality compliance rate of Jinshan Lake Basin.

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张万顺,李琳,彭虹,等.面向水环境改善的城市河网动态水环境容量[J].水资源保护,2022,38(1):167-175.(ZHANG Wanshun, LI Lin, PENG Hong, et al. Dynamic water environment capacity of urban river network for water environment improvement[J]. Water Resources Protection,2022,38(1):167-175.(in Chinese))

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  • 收稿日期:2021-01-20
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  • 在线发布日期: 2022-01-20
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