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31.
Sediment-based reconstructions of late-Quaternary lake levels provide direct evidence of hydrologic responses to climate change, but many studies only provide approximate lake-elevation curves. Here, we demonstrate a new method for producing quantitative time series of lake elevation based on the facies and elevations of multiple cores collected from a lake's margin. The approach determines the facies represented in each core using diagnostic data, such as sand content, and then compares the results across cores to determine the elevation of the littoral zone over time. By applying the approach computationally, decisions are made systematically and iteratively using different facies classification schemes to evaluate the associated uncertainty. After evaluating our assumptions using ground-penetrating radar (GPR), we quantify past lake-elevation changes, precipitation minus evapotranspiration (ΔP−ET), and uncertainty in both at Lake of the Woods and Little Windy Hill Pond, Wyoming. The well-correlated (r = 0.802 ± 0.002) reconstructions indicate that water levels at both lakes fell at > 11,300, 8000–5500, and 4700–1600 cal yr BP when ΔP − ET decreased to − 50 to − 250 mm/yr. Differences between the reconstructions are typically small (10 ± 24 mm/yr since 7000 cal yr BP), and the similarity indicates that our reconstruction method can produce statistically comparable paleohydrologic datasets across networks of sites. 相似文献
32.
Tatenda Dalu Timothy Dube P. William Froneman Mwazvita T.B. Sachikonye Bruce W. Clegg Tamuka Nhiwatiwa 《国际地球制图》2015,30(10):1130-1143
Traditional approaches to monitoring aquatic systems are often limited by the need for data collection which often is time-consuming, expensive and non-continuous. The aim of the study was to map the spatio-temporal chlorophyll-a concentration changes in Malilangwe Reservoir, Zimbabwe as an indicator of phytoplankton biomass and trophic state when the reservoir was full (year 2000) and at its lowest capacity (year 2011), using readily available Landsat multispectral images. Medium-spatial resolution (30 m) Landsat multispectral Thematic Mapper TM 5 and ETM+ images for May to December 1999–2000 and 2010–2011 were used to derive chlorophyll-a concentrations. In situ measured chlorophyll-a and total suspended solids (TSS) concentrations for 2011 were employed to validate the Landsat chlorophyll-a and TSS estimates. The study results indicate that Landsat-derived chlorophyll-a and TSS estimates were comparable with field measurements. There was a considerable wet vs. dry season differences in total chlorophyll-a concentration, Secchi disc depth, TSS and turbidity within the reservoir. Using Permutational multivariate analyses of variance (PERMANOVA) analysis, there were significant differences (p < 0.0001) for chlorophyll-a concentration among sites, months and years whereas TSS was significant during the study months (p < 0.05). A strong positive significant correlation among both predicted TSS vs. chlorophyll-a and measured vs. predicted chlorophyll-a and TSS concentrations as well as an inverse relationship between reservoir chlorophyll-a concentrations and water level were found (p < 0.001 in all cases). In conclusion, total chlorophyll-a concentration in Malilangwe Reservoir was successfully derived from Landsat remote sensing data suggesting that the Landsat sensor is suitable for real-time monitoring over relatively short timescales and for small reservoirs. Satellite data can allow for surveying of chlorophyll-a concentration in aquatic ecosystems, thus, providing invaluable data in data scarce (limited on site ground measurements) environments. 相似文献
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Diet composition and trophic levels of marine mammals 总被引:16,自引:1,他引:15
Pauly D.; Trites A. W.; Capuli E.; Christensen V. 《ICES Journal of Marine Science》1998,55(3):467-481
37.
Autoregressive models have been shown to adequately model the time series of significant wave height. However, since this series exhibits a seasonal component and has a non-gaussian nature, it is necessary to transform the series before a model can be fit to the data. Two different transformations that have been used in earlier work are shown not to be appropriate for all types of applications. A third transformation is proposed here, which combines the better features of the two earlier ones and which is appropriate for simulation work. This is demonstrated with an example of a series from Figueira da Foz, a location of the Portuguese Coast. 相似文献
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洱海叶绿素a浓度的季节动态和空间分布 总被引:3,自引:0,他引:3
2010年5月至2011年4月,对洱海叶绿素a的季节动态、空间分布及其与环境因子的关系进行研究.结果表明,水体中叶绿素a浓度存在明显的季节变化,其变化范围为4.11~24.30μg/L,年平均值为10.4±6.5μg/L,最小值出现在2011年3月,最大值出现在2010年9月.叶绿素a浓度在夏、秋季较高,冬、春季较低.在空间变化上,叶绿素a浓度在南部湖区最大,其次是北部湖区,中部湖区最低.Pearson相关系数和主成分分析表明,洱海叶绿素a浓度在不同湖区中与水温和透明度均呈极显著相关.总氮在北部和南部湖区与叶绿素a浓度均存在一定的相关性,而总磷与叶绿素a浓度在南部湖区存在一定的相关性.根据修正的卡尔森营养状态指数,洱海综合TSI值为50.6,水质处于中营养状态. 相似文献
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天山天池水体季节性分层特征 总被引:4,自引:1,他引:3
于2014年6-10月,对高山深水湖泊天山天池水温、电导率、溶解氧、p H值、叶绿素a浓度和蓝绿藻细胞密度进行垂直剖面的连续监测,通过对其季节动态和垂直分层结构的分析,探讨天池水体季节性分层特征.天池出现明显水温分层的时间短(6-9月),夏季温跃层变化范围为2~18 m,而秋季温跃层不断下移,10月在18 m水深以下;受水温分层影响,天池水体溶解氧浓度、电导率、p H值、叶绿素a浓度和蓝绿藻细胞密度在垂直剖面表现出明显的季节性分层,尤其是夏季水温分层影响溶解氧浓度、叶绿素a浓度和蓝绿藻细胞密度在水体中的分布,对天池水质变化产生重要影响.天池浅水层(水深小于10 m)溶解氧浓度较高(大于8 mg/L),而深水层(水深超过18 m)溶解氧浓度9月接近4 mg/L,季节性缺氧导致底泥营养盐向上扩散,对水体水质产生不利影响.所以,应在夏、秋季节加强水质监测,以防止天池水华发生;天池叶绿素a浓度与蓝绿藻细胞密度的垂直剖面变化趋势相似,均随水深增加呈先增加后减小的趋势,但叶绿素a浓度在2~12 m水深处较高,蓝绿藻细胞密度在5~15 m水深处较高,表明5~15 m深度适合藻类生长,同时,电导率、p H值的垂直变化也说明藻类的生长情况,这为监测天池水体富营养化取样和分析提供依据. 相似文献