洪湖沉积物碳氮磷分布特征及污染评价

洪湖是中国第七大淡水湖,富营养化问题日益突出。全面了解洪湖沉积物氮、磷、有机质的含量及分布特征,对掌握其富营养化现状与氮磷污染生态风险具有重要意义。在湖区布设了8个采样点,2019年10月采集50 cm柱状沉积物,分别测定不同深度沉积物总氮(TN)、总磷(TP)以及有机质(OM)含量,分析了TN、TP 和OM 含量的空间分布特征及相关性,并运用综合污染指数法评价其对应的污染程度。结果表明:洪湖沉积物TN含量在467.8~8 454.5 mg/kg之间,平均值2 167 mg/kg,为重度污染,其中近一半的采样点表层沉积物TN含量>5 000 mg/kg;TP含量在502.7~1 252.4 mg/kg之间,平均值693.8 mg/kg,除杨柴湖为重度污染外,其他大部分地区为中度污染;有机质含量占比在5.0%~24.9%之间,平均值9.6%,为重度污染。在垂直空间上,TN、TP 和OM 均在沉积物表层垂向深度0~20 cm存在明显的积累,其含量随垂向深度的增加而迅速降低。研究成果可为洪湖富营养化的控制与治理提供科学数据支撑。     

大通湖区水系连通工程改善水环境的效果评估

大通湖是洞庭湖区的重要组成部分,近年其水质状况呈现恶化态势,正通过实施水系连通工程,以期改善其水环境。基于MIKE21构建大通湖区水系连通工程的二维水动力-水质数学模型,选取总氮和总磷作为水质指标,模拟不同连通调度方案下大通湖的氮磷浓度变化,采用滞水区面积比例、浓度变化指数、换水率和水质浓度改善率,评估6个连通方案下大通湖水环境的改善效果。结果表明:通过实施引水调度方案能够有效改善大通湖水环境,当引水前期流量取30 m~3/s,出口水位控制在25.48 m时和引水后期流量保持为30 m~3/s不变,出口水位调整至25.88 m时,大通湖水环境改善效果最佳。本研究可为实施水系连通工程,改善类似湖泊水环境和提高引水调度效率提供参考。     

察尔汗盐湖物质来源的讨论

察尔汗盐湖是世界上最大的现代盐类矿床之一。盐湖中有用组份以 K、Mg 为主,伴有 Na、B、Li、Br、I、Rb、Cs、Sr 等元素。关于这些物质成份的来源有多种假说,如昆仑山古湖补给说、深层卤水或油田水补给说以及周边淡水补给说。本文首先根据格尔木河流域距今3万年以来补给察尔汗盐湖主要是山区大气降水这个事实,对昆仑山区古湖泊水是否为察尔汗盐湖提供重要物质来源提出质疑。通过元素比值与水量分析认为深层卤水或油田水可能不是盐湖的主要物质来源。研究认为察尔汗盐湖主要物质来源乃是四周长期风化淋滤及地下水、地表水不断搬运、溶解、析出演化过程的结果。昆仑山区特殊岩性环境及湖区脱硫酸作用可能是察尔汗盐湖缺少大量硫酸盐类沉积的原因。     

入海水道二期对洪泽湖地区洪水风险的影响研究

为探究淮河入海水道二期工程对洪泽湖的泄洪能力以及周边滞洪区的影响,在对研究区河网概化及地形处理的基础上,建立了研究区河网一维、洪泽湖湖区与周边滞洪区二维耦合的水动力数值模型,并采用1991,2003,2006,2007四年实测历史洪水资料对模型进行率定及验证。基于现状工况、规划工况以及不同洪水量级,设计了5个对比方案对研究区进行洪水演进数值模拟,对不同洪水量级进行横向对比,对不同工况进行纵向对比,并对不同方案进行淹没面积分析和洪水影响分析。结果表明,入海水道二期工程的启用可以有效降低洪泽湖水位,提高洪泽湖的防洪标准和周边滞洪区的启用标准,减少同等洪水量级下的受影响人口数和区域GDP,为洪泽湖的防洪安全建设以及周边蓄滞洪区的稳定发展创造了条件。     

基于MIKE FLOOD的洪泽湖周边滞洪区洪水演进模拟研究

基于实测断面资料建立了研究区的一维水动力模型,基于高精度DEM以及1∶10000地形图建立了研究区的二维水动力模型,并用MIKE FLOOD将一维模型和二维模型进行耦合,构建了洪泽湖周边滞洪区一、二维耦合的洪水演进数学模型。利用2003年历史洪水资料对模型参数进行了率定,并以2007年历史洪水资料进行了验证。以洪泽湖百年一遇设计洪水为模型上边界,二河闸、三河闸以及高良涧闸的现行调度方案的水位-流量关系为模型下边界,对洪泽湖百年一遇设计洪水方案进行模拟计算,当蒋坝水位达到14.33m时,洪泽湖周边滞洪区开始滞洪,得到开始滞洪后不同时段研究区内各类洪水风险要素的动态分布情况以及最大淹没水深、淹没历时,验证了模型的合理性,可用于蓄滞洪区洪水演算分析。     

《赤山湖湖条》解读与赤山湖管理分析

历史上赤山湖作为秦淮河流域的重要水利枢纽,它不仅承担着湖区周边及秦淮河下游的灌溉防洪功能,还在长期用水管理过程中,形成以"五尺水则"为代表的有效管理制度。本文通过对《赤山湖湖条》内容的解读,从工程管理、用水管理和经费管理等方面对赤山湖的水利管理进行历史考察,探究赤山湖功能发挥与湖区管理体系密不可分的关系,为现代水利工程尤其是河湖工程管理提供一定的借鉴和参考。     

Spatial ecology of Bay of Quinte walleye (Sander vitreus): Annual timing,extent, and patterns of migrations in eastern Lake Ontario

Walleye (Sander vitreus) are the top nearshore predator in the Bay of Quinte and eastern Lake Ontario, where they have strong ecological and socio-economic impacts. The population is known to migrate seasonally; however, the precise timing and extent are not well defined. This study used acoustic telemetry to provide a fisheries-independent measure of timing, extent, and seasonal distribution of migration in Lake Ontario and to examine the influence of sex, spawning river, size, and year. Annual detection histories were used to determine the timing of migrations into and out of the spawning rivers, departure from the Bay of Quinte post-spawn, and the pre-spawn return to the Bay of Quinte. Sequence analysis was subsequently used to examine how fish occupy defined regions of eastern Lake Ontario annually and identify patterns in migration strategy. Spawning site fidelity was high for both rivers (91–97%) and annual residency within the Bay of Quinte was low (9.5%). Females spent less time in spawning rivers, migrated to the main lake earlier, and generally travelled further than males. Larger fish also migrated to the main lake first and travelled further, and differences in timing between spawning rivers were minor. Annual differences in timing were observed and were most likely related to environmental differences between years. Cluster analysis was used to identify groups of fish which utilized unique annual migration strategies and demonstrated sex and size had an important influence on the variability in annual spatial occupancy, but the importance of spawning river and year was minimal.     

Dreissena in Lake Ontario 30 years post-invasion

We examined three decades of changes in dreissenid populations in Lake Ontario and predation by round goby (Neogobius melanostomus). Dreissenids (almost exclusively quagga mussels, Dreissena rostriformis bugensis) peaked in 2003, 13 years after arrival, and then declined at depths <90 m but continued to increase deeper through 2018. Lake-wide density also increased from 2008 to 2018 along with average mussel lengths and lake-wide biomass, which reached an all-time high in 2018 (25.2 ± 3.3 g AFTDW/m²). Round goby densities were estimated at 4.2 fish/m² using videography at 10 to 35 m depth range in 2018. This density should impact mussel populations based on feeding rates, as indicated in the literature. While the abundance of 0–5 mm mussels appears to be high in all three years with measured length distributions (2008, 2013, 2018), the abundance of 5 to 12 mm dreissenids, the size range most commonly consumed by round goby, was low except at >90 m depths. Although the size distributions indicate that round goby is affecting mussel recruitment, we did not find a decline in dreissenid density in the nearshore and mid-depth ranges where goby have been abundant since 2005. The lake-wide densities and biomass of quagga mussels have increased over time, due to both the growth of individual mussels in the shallower depths, and a continuing increase in density at >90 m. Thus, the ecological effects of quagga mussels in Lake Ontario are likely to continue into the foreseeable future.     

Depth and temperature selection of lake charr (Salvelinus namaycush) ecotypes in Lake Superior revealed by popup satellite archival tags

Lake charr exhibit morphological diversity in large North American lakes, largely attributed to habitat partitioning. Bathythermal habitats of lean lake charr have been assessed but remain largely unknown for other lake charr ecotypes. Popup satellite archival tags (PSATs) were used to determine depth and temperature profiles of lean (n = 15), siscowet (n = 16) and redfin (n = 3) lake charr ecotypes in Lake Superior during segments of the year. Monthly median depths of leans were < 20 m throughout the year while the median depth of redfins was 24–32 m (June-September). Monthly median depth of siscowets ranged from 103 to 204 m but they exhibited four distinctive patterns: deep (>80 m), shallow (<10 m), extreme vertical movements (>80–0 m), and high frequency vertical movements between 100 and 125 m. Siscowets were the most stenothermal with habitat temperatures generally 4–5 °C but not exceeding 12 °C. Leans were found as low as 0 °C (January-March) and up to 15 °C (July-September). Median monthly habitat temperatures for redfins were 1–3 °C colder than leans during July-September. PSATs confirmed that siscowets exhibit extreme vertical movements and may feed near the surface. The timing and duration of the extreme vertical movements exhibited by siscowets did not appear to be associated with time of day (i.e., not diel vertical movements) and may be described as opportunistic movements presumably related to foraging. Data obtained from the PSATs reinforces the view that lake charr are highly adaptive and can thrive in cold, oligotrophic lakes by optimizing the use of the entire water column.     

基于互信息的湖泊日水位预测——以西洞庭湖为例

鉴于传统的湖泊水位预测在输入因子选择时具有一定的盲目性,以西洞庭湖为例,利用基于互信息的输入因子选择法建立了日水位预测模型。按河流生态功能将水文年划分为枯水期、汛前涨水期、汛期、汛后退水期4个时期,然后分期计算影响湖泊日水位的自变量与日水位的互信息,并引入广义相关系数将互信息归一化,选出各时期互信息最大的自变量因子作为模型的输入变量。经过模型计算与数据分析可得:F检验结果显著,回归值与实测值的相关度高,剩余标准差小。由此证明用互信息筛选出的因子作为模型的输入变量能取得较好的精度并在实际中易于操作。