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El Nino-Southern Oscillation Link to South Florida Hydrology and Water Management Applications

机译:厄尔尼诺现象-南方涛动与南佛罗里达水文学和水管理应用的联系

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摘要

This study evaluates the relationships between El Nino-Southern Oscil-lation (ENSO) indices and South Florida hydrology and proposes applications to water management decision making. ENSO relations to the Upper Kissimmee Basin rainfall, watershed for Lake Okeechobee, and cumulative sea surface temperature (SST) anomalies at Nino 3.4 were evaluated. Additionally, relationship between ENSO and Lake Okeechobee inflows, Arbuckle Creek and Josephine Creek flows were analyzed. Hydrology of the northern watersheds of the South Florida water management system is linked to ENSO events. Dry season (November-May) rainfall and flows are higher than average during El Nino years and lower during La Nina years, at the 90% confidence level or higher. The relationship is strongest when the ENSO event is strong as shown with analysis of correlation. ENSO prediction has more certainty than hydrologic prediction for a region. Identifying ENSO and hydrologic relationships can aid water management decision making by providing a lead-time of months to mitigate drought or flood impacts. The ENSO tracking method, which was published in a previous study, is presented to track ENSO strength and event type to provide supplemental outlook on dry season rainfall for Lake Okeechobee operations. Lake Okeechobee, which is the main storage in the South Florida water management system, is regulated by a schedule with a limited band of stage fluctuation because of susceptibility of the Herbert Hoover Dike to wave erosion and seepage at high stages. An early decision making approach to storage management with respect to ENSO related hydrology, is presented based on tracking the strength of ENSO events.
机译:这项研究评估了厄尔尼诺-南方涛动指数(ENSO)与南佛罗里达水文学之间的关系,并提出了在水管理决策中的应用。评估了ENSO与基西米流域上游的降雨,奥基乔比湖的分水岭以及Nino 3.4处的累积海表温度(SST)异常之间的关系。此外,分析了ENSO与奥基乔比湖流入量,Arbuckle Creek和Josephine Creek流入量之间的关系。南佛罗里达水管理系统北部集水区的水文学与ENSO事件有关。干旱季节(11月至5月)的降雨量和流量高于El Nino年的平均水平,而La Nina年的降雨量和流量低于90%的置信度。如相关分析所示,当ENSO事件较强时,该关系最强。对于一个地区,ENSO预测比水文预测更具确定性。确定ENSO和水文关系可以通过提供几个月的交货时间来减轻干旱或洪水的影响,从而有助于水管理决策。介绍了先前研究中发布的ENSO跟踪方法,以跟踪ENSO强度和事件类型,从而为奥基乔比湖(Lake Okeechobee)作业的旱季降雨提供补充展望。奥基乔比湖是南佛罗里达州水管理系统的主要蓄水库,由于赫伯特·胡佛大堤易受高潮波侵蚀和渗漏的影响,因此受时间表的限制,其水位波动范围有限。在跟踪ENSO事件强度的基础上,提出了有关ENSO相关水文学的存储管理的早期决策方法。

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