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本文引用的文献

1
Numerical and qualitative contrasts of two statistical models for water quality change in tidal waters.两种用于潮汐水域水质变化的统计模型的数值和定性对比
J Am Water Resour Assoc. 2017 Jan 2;53(1):197-219.
2
Decadal and seasonal trends of nutrient concentration and export from highly managed coastal catchments.高度管理的沿海流域中营养物浓度和输出的年代际和季节性变化趋势。
Water Res. 2017 May 15;115:180-194. doi: 10.1016/j.watres.2017.02.068. Epub 2017 Mar 2.
3
Mississippi River nitrate loads from high frequency sensor measurements and regression-based load estimation.密西西比河硝酸盐负荷的高频传感器测量和基于回归的负荷估算。
Environ Sci Technol. 2014 Nov 4;48(21):12612-9. doi: 10.1021/es504029c. Epub 2014 Oct 24.
4
Weighted Regressions on Time, Discharge, and Season (WRTDS), with an Application to Chesapeake Bay River Inputs.基于时间、流量和季节的加权回归(WRTDS)及其在切萨皮克湾河流输入中的应用
J Am Water Resour Assoc. 2010 Oct;46(5):857-880. doi: 10.1111/j.1752-1688.2010.00482.x.
5
Nitrate in the Mississippi River and its tributaries, 1980 to 2008: are we making progress?密西西比河流域及其支流的硝酸盐含量,1980 年至 2008 年:我们是否取得了进展?
Environ Sci Technol. 2011 Sep 1;45(17):7209-16. doi: 10.1021/es201221s. Epub 2011 Aug 9.
6
Analysis of pelagic species decline in the upper San Francisco Estuary using multivariate autoregressive modeling (MAR).使用多元自回归模型(MAR)分析上旧金山湾浮游物种的减少。
Ecol Appl. 2010 Jul;20(5):1417-30. doi: 10.1890/09-1724.1.
7
Changes in sediment and organic carbon accumulation in a highly-disturbed ecosystem: the Sacramento-San Joaquin River Delta (California, USA).一个高度受干扰生态系统中沉积物和有机碳积累的变化:萨克拉门托 - 圣华金河三角洲(美国加利福尼亚州)
Mar Pollut Bull. 2009;59(4-7):154-63. doi: 10.1016/j.marpolbul.2009.03.025. Epub 2009 May 5.

旧金山湾上游四十年的水质变化

Four decades of water quality change in the upper San Francisco Estuary.

作者信息

Beck Marcus W, Jabusch Thomas W, Trowbridge Philip R, Senn David B

机构信息

Southern California Coastal Water Research Project 3535 Harbor Blvd, Suite 110, Costa Mesa, CA 92626.

Sacramenta-San Joaquin Delta Conservancy 1450 Halyard Drive, Suite 6, West Sacramento, CA 95691.

出版信息

Estuar Coast Shelf Sci. 2018;212:11-22. doi: 10.1016/j.ecss.2018.06.021.

DOI:10.1016/j.ecss.2018.06.021
PMID:30220765
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6134857/
Abstract

Quantitative descriptions of chemical, physical, and biological characteristics of estuaries are critical for developing an ecological understanding of drivers of change. Historical trends and relationships between key species of dissolved inorganic nitrogen (ammonium, nitrate/nitrite, total) from the Delta region of the San Francisco Estuary were modeled with an estuarine adaptation of the Weighted Regressions on Time, Discharge, and Season (WRTDS). Analysis of flow-normalized data revealed trends that were different from those in the observed time-series. Flow-normalized data exhibited changes in magnitude and even reversal of trends relative to the observed data. Modelled trends demonstrated that nutrient concentrations were on average higher in the last twenty years relative to the earlier periods of observation, although concentrations have been slowly declining since the mid-1990s and early 2000s. We further describe mechanisms of change with two case studies that evaluated 1) downstream changes in nitrogen following upgrades at a wastewater treatment plant, and 2) interactions between biological invaders, chlorophyll, macro-nutrients (nitrogen and silica), and flow in Suisun Bay. WRTDS results for ammonium trends showed a distinct signal as a result of upstream wastewater treatment plant upgrades, with specific reductions observed in the winter months during low-flow conditions. Results for Suisun Bay showed that chlorophyll production in early years was directly stimulated by flow, whereas the relationship with flow in later years was indirect and influenced by grazing pressure. Although these trends and potential causes of change have been described in the literature, results from WRTDS provided an approach to test alternative hypotheses of spatiotemporal drivers of nutrient dynamics in the Delta.

摘要

对河口的化学、物理和生物特征进行定量描述,对于深入了解变化驱动因素的生态机制至关重要。利用对时间、流量和季节的加权回归(WRTDS)的河口适应性模型,对旧金山河口三角洲地区溶解无机氮(铵、硝酸盐/亚硝酸盐、总量)的关键物种的历史趋势及相互关系进行了建模。对流量归一化数据的分析揭示了与观测时间序列不同的趋势。流量归一化数据在幅度上呈现出变化,甚至趋势与观测数据相反。建模趋势表明,相对于早期观测阶段,过去二十年中营养物浓度平均更高,尽管自20世纪90年代中期和21世纪初以来浓度一直在缓慢下降。我们通过两个案例研究进一步描述了变化机制,这两个案例研究评估了:1)污水处理厂升级后氮的下游变化;2)生物入侵者、叶绿素、大量营养物(氮和硅)以及索拉诺湾流量之间的相互作用。WRTDS对铵趋势的结果显示,由于上游污水处理厂的升级,出现了明显的信号,在冬季低流量条件下观察到了特定的减少。索拉诺湾的结果表明,早年叶绿素的产生直接受到流量的刺激,而后期与流量的关系是间接的,并受放牧压力的影响。尽管这些趋势和变化的潜在原因已在文献中有所描述,但WRTDS的结果提供了一种方法,可用于检验三角洲营养动态时空驱动因素的替代假设。