首页> 外文会议>International conference on remediation of contaminated sediments >Development of Sediment Transport Tools for Assessing Current and Future Sedimentation in Great Lakes River Mouth Systems
【24h】

Development of Sediment Transport Tools for Assessing Current and Future Sedimentation in Great Lakes River Mouth Systems

机译:开发用于评估大湖河口系统当前和未来泥沙沉积的泥沙运输工具

获取原文

摘要

Background/Objectives. Sediment management is a significant challenge in many GreatLakes harbors, where frequent dredging maintenance of navigational systems is typicallyrequired. Toledo Harbor, which provides navigational access from Lake Erie through thelower 10 miles of the Maumee River, provides a prominent example of these challenges.The navigation channel in Toledo Harbor is subject to significant rates of sedimentationresulting from the combined effects of suspended sediment loading from the MaumeeRiver and wind-wave resuspension and redistribution of bed sediments in Maumee Bay.The U.S. Army Corps of Engineers (USACE) performs dredging maintenance each yearin the Harbor at an annual cost of approximately $5 million. However, even thissignificant investment is insufficient to keep pace with dredging needs. Confined andopen-lake disposal of dredged sediments is also a significant issue. The capacity of theexisting confined disposal facility is nearly exhausted, and current/future open-lakedisposal has the potential to release phosphorus and other pollutants into the watercolumn.Approach/Activities. The recent Great Lakes Research Initiative (GLRI) Action Planincludes a target metric for a 2.5% reduction in sediment deposition in Toledo Harbor by2014. A significant need for Toledo Harbor and other Great Lakes river mouth systems isthe development of quantitative tools to assess current and future projected watershedsediment loadings and resulting sedimentation patterns to inform such managementtargets. Evaluating potential reductions in sedimentation for complex harbor systemssuch as Toledo Harbor requires the integration of all pertinent sediment data into apredictive sediment transport modeling tool. Such an integrated assessment is currentlybeing conducted on behalf of the USACE for Toledo Harbor. Sediment data available toconstruct and constrain a sediment transport model for the Harbor include bathymetricdata collected as part of pre- and post-dredge surveys, surficial particle size distributiondata, total suspended solids concentration data for Maumee River and Maumee Bay, andremote sensing maps of suspended solids distribution. A previously developed sedimenttransport model is being calibrated to data-based estimates of seasonal and annualaccretion rates. Daily measurements of suspended solids concentration and load deliveredvia the Maumee River are available and are being used to estimate reductions inwatershed sediment loading through the 2008-11 period. The calibrated model will beapplied in conjunction with these data-based loading reductions to estimate the reductionin navigation channel accretion that has occurred as a result of GLRI management actionsin the watershed.Results/Lessons Learned. Model development and calibration efforts are in progress,and it is anticipated that application results will be available at the time of presentation.
机译:背景/目标。泥沙管理是许多大国面临的重大挑战 湖泊港口,通常经常进行导航系统的疏maintenance维护 必需的。托莱多港,从伊利湖出发可通过 莫米河(Maumee River)下游10英里的低处就是这些挑战的典型例证。 托莱多港的航道受到大量沉积的影响 来自莫米的悬浮泥沙负荷的综合影响 莫米湾河床和沉积物的河水和风浪的重新分布。 美国陆军工程兵团(USACE)每年进行疏maintenance维护 在海港,每年的费用约为500万美元。但是,即使这样 大量的投资不足以跟上疏dr的需求。密闭和 疏lake沉积物的开放式湖泊处置也是一个重要问题。的能力 现有的密闭处理设施几乎已经用完,目前/未来的开放式湖泊 处置有可能将磷和其他污染物释放到水中 柱子。 方法/活动。最近的大湖研究倡议(GLRI)行动计划 包括一个目标指标,该指标是通过 2014年。对托莱多港和其他大湖河口系统的重大需求是 开发量化工具以评估当前和将来的预测分水岭 沉积物负荷和产生的沉积模式,以告知此类管理 目标。评估复杂港口系统的沉积物潜在减少量 例如托莱多港(Toledo Harbour),需要将所有相关的沉积物数据整合到一个 预测性泥沙运移建模工具。目前,这种综合评估 代表托莱多港口USACE进行。沉积物数据可用于 构建和约束包括水深的港口输沙模型 在挖泥前和挖泥后调查中收集的数据,表面粒径分布 数据,莫米河和莫米湾的总悬浮固体浓度数据,以及 悬浮物分布的遥感图。先前发育的沉积物 运输模型正在根据季节和年度的基于数据的估计值进行校准 吸积率。每天测量悬浮固体的浓度和输送的负荷 可以通过莫米河(Maumee River)来估算 流域在2008-11年期间的沉积物负荷量。校准后的模型将是 结合这些基于数据的负载减少量一起应用,以估计减少量 由于GLRI管理措施而导致的导航通道积聚 在分水岭。 结果/经验教训。模型开发和校准工作正在进行中, 并预计在演示时将提供应用程序结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号