针对典型感潮河网地区水环境污染日趋严重与洪涝灾害频发的问题，为优化河网水动力和降低河道漫溢风 险，基于 InfoWorks?ICM（integrated?catchment?management）模型建立福州市仓山区龙津阳岐片区城市水文模型与一 维河网水动力耦合模型，以 2022 年 6 月 14 日实测降雨及河道水位数据对模型参数进行校准，平均纳什效率系数 为 0.78，平均洪峰误差为 1.5%。设计并模拟 3 种晴天工况和 3 种“卢碧”台风雨天工况，结果表明：晴天从无调控 到工况 3，随着引水量的增加，河网平均流速逐步增加，总体增加 66.4%，河道水动力提升显著；雨天从原有调控工 况到工况 3，随着河道预降水位值增大，关键断面平均超警历时逐步减少，总体下降 73%，河道漫溢风险明显降低。 构建河网水文水动力耦合模型和工况优选，可为仓山区进一步提升河网水动力与城市汛期洪涝灾害防治能力的 方案制定提供决策依据，也可为其他同类研究提供借鉴。

With?the?development?of?urbanization,?the?natural?hydrological?cycle?has?been?affected?and?the?natural storage?capacity?of?the?urban?river?network?has?been?weakened,?making?the?city?more?prone?to?flooding.. ??????For ?the ?typical ?tide-sensitive ?river ?network ?area ?with ?frequent ?flooding ?and ?increasingly ?serious ?water environment?pollution,?an?urban?hydrological?model?and?a?one-dimensional?river?network?hydrodynamic?model were?developed?and?coupled?based?on?InfoWorks?ICM?for?the?Longjin?Yangqi?area?in?Cangshan?District,?Fuzhou City.?The?model?parameters?were?calibrated?using?the?measured?rainfall?and?river?level?data?on?June?14,?2022,?with?a Nash?efficiency?coefficient?of?0.78?and?a?flood?error?of?about?1.5%.?Designed?and?simulated?3?types?of?sunny working?conditions?and?3?kinds?of?"Lupi"?typhoon?rainy?day?working?conditions.?The?tide?level?of?the?sunny?day scenario?was?selected?by?the?tide?level?eigenvalue?method,?with?March?18,?2021,?as?the?typical?tide?level?of?the?Min River?and?January?27,?2021,?as?the?typical?tide?level?of?the?Wulong?River?for?the?sunny?day?scenario.?The?rain scenario?used?the?rainfall?and?tide?level?of?typhoon?"Lupi"?on?August?5,?2021.?The?average?flow?velocity?of?river network?VA?was?considered?in?the?sunny?day?scenario,?and?the?average?over-alarm?time?TA?was?considered?in?the rainy?day?scenario,?and?the?simulation?results?of?different?conditions?were?analyzed?in?different?scenarios. ??????The?results?show?that?the?flow?velocity?of?the?river?network?in?the?whole?area?reached?0.751,?0.96,?1.159,?and 1.250?m/s?under?no?regulation?and?3?working?conditions,?respectively,?and?the?average?flow?velocity?of?the?river network?increased?gradually?from?no?regulation?to?working?condition?3,?with?a?total?increase?of?0.499?m/s.?The results ?meet ?the ?suitable ?ecological ?flow ?velocity ?in ?the ?hamlet ?area, ?and ?the ?river ?hydrodynamics ?improved significantly.?Under?3?kinds?of?rainy?day?working?condition?regulation,?the?average?over-warning?time?at?the?key section?of?the?river?network?was?reduced?by?31.19%,?54.13%,?and?73.09%,?respectively,?compared?with?the?original condition. ??????The?hydrodynamic?model?of?the?river?network?in?the?urban?area?was?constructed?based?on?InfoWorks?ICM,?and the?coupling?between?the?urban?hydrological?process?and?the?river?network?confluence?process?was?realized.?The average?Nash?efficiency?coefficient?was?0.78,?indicating?that?the?model?is?suitable?for?simulating?and?analyzing?the river?network?scenarios?in?the?area.?The?average?flow?velocity?of?the?river?network?increased?gradually?from?no regulation?to?working?condition?3?on?sunny?days,?with?a?total?increase?of?0.499?m/s.?The?results?met?the?suitable ecological?flow?velocity?in?Kurama?District,?and?the?river?hydrodynamics?improved?significantly.?Rainy?day?"Lupi" typhoon?scenario?from?the?original?regulation?of?working?conditions?to?working?conditions?3,?the?average?over-alarm time?of?key?sections?gradually?reduced?a?total?reduction?of?238?min,?an?overall?decrease?of?73%.?The?improvement program?to?the?original?program?of?river?flood?control?and?drainage?effect?is?obvious.?Constructing?the?coupled hydrological-hydraulic?model?of?the?river?network?and?the?preferred?working?conditions?can?provide?a?decision?basis for?the?formulation?of?the?plan?to?further?improve?the?hydrodynamics?of?the?river?network?and?urban?flooding prevention?and?control?capacity?in?the?Cangshan?district,?and?can?also?provide?a?reference?for?other?similar?studies.