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In silico macro-imagineering of Salton Sea alternative futures under climate uncertainty and water transfer considerations

机译:气候不确定性和调水考虑下的索尔顿海替代期货的计算机宏观成像

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摘要

The aim of the present research was to simulate the Salton Sea elevation, volume, and total dissolved solids (TDS) to assess 34 different scenarios through the year 2024 in order to better evaluate the effects of potential water management scenarios. Parameterization of an existing Salton Sea simulation model, i.e., Salton Sea Stochastic Simulation Model (S~4M), was performed to account for either an increase (+), decrease (-), or no change in precipitation (P_i), evapotranspiration (Eto), and river flow volume (R_i) in the Salton Sea Basin while simultaneously implementing two different water management policies: (1) water transfers to the Salton Sea end after 2017 (based on the Quantification Settlement Agreement (QSA)) or (2) water transfers to the Salton Sea at 2017 levels continue into the future. The S~4M is formulated as a compartment model based on difference equations with a daily time step using STELLA® 8.0 software. One-way analysis of variance (ANOVA) and Bon-ferroni multiple post hoc statistical tests were performed using IBM® SPSS® Statistics v. 22.0 with α (Type I error) = 0.05. A significant difference existed between the Baseline scenario with water transfers ending in 2017, i.e., — 241 feet above sea level (fasl) and about 69,000 ppm TDS, and the scenario with continued water transfers at 2017 levels, i.e., year 2024 end simulation of — 236.95 fasl and 61,000 ppm TDS. The results indicate that in order to improve conditions for fish and keep salinity ≤ 50,000 ppm, continued QSA water transfers cannot achieve such a result alone, ceteris paribus.
机译:本研究的目的是模拟索尔顿海的海拔,体积和总溶解固体(TDS),以评估到2024年的34种不同情景,以便更好地评估潜在水管理情景的影响。对现有的Salton Sea模拟模型(即Salton Sea随机模拟模型(S〜4M))进行参数化,以说明增加(+),减少(-)或降水量(P_i)不变,蒸散量( Eto)和萨尔顿海盆地的河流流量(R_i),同时执行两种不同的水管理政策:(1)2017年之后(根据《量化解决协议》(QSA))向萨尔顿海底的水转移或(2 )到2017年的水量将继续输送到索尔顿海。使用STELLA®8.0软件,S〜4M根据差异方程式,以每天的时间步长配制为车厢模型。使用IBM®SPSS®Statistics v。22.0在α(I类错误)= 0.05的情况下执行方差单向分析(ANOVA)和Bon-ferroni多事后统计检验。在基线情景中,调水于2017年结束,即—海拔241英尺(fasl),约69,000 ppm TDS,与情景在2017年持续调水(即,2024年末模拟)之间存在显着差异— 236.95 fasl和61,000 ppm TDS。结果表明,为了改善鱼类状况并保持盐度≤50,000 ppm,持续的QSA水分转移不能单独达到这样的结果,即黄柏。

著录项

  • 来源
    《The environmentalist》 |2019年第4期|409-418|共10页
  • 作者单位

    Environmental Laboratory Wetlands & Coastal Ecology Branch U.S. Army Engineer Research and Development Center - U.S. Army Corps of Engineers 3909 Halls Ferry Road Vicksburg MS 39180 USA Mayville State University Mayville ND 58257 USA Conservation Genetics & Biotech LLC Valley City ND 58072 USA;

    Geographos Burbank CA 91506 USA;

    Environmental Laboratory Wetlands & Coastal Ecology Branch U.S. Army Engineer Research and Development Center - U.S. Army Corps of Engineers 3909 Halls Ferry Road Vicksburg MS 39180 USA Department of Biology Texas State University San Marcos TX 78666 USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Ecological modeling; Lower Colorado River Basin; Salton Sea; Simulation modeling; Water transfer;

    机译:生态建模;科罗拉多河下游流域;索尔顿海;仿真建模;调水;

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