Mitigating Impact of Devils Lake Flooding on the Sheyenne River Sulfate Concentration

Devils Lake is a terminal lake located in northeast North Dakota. Because of its glacial origin and accumulated salts from evaporation, the lake has a high concentration of sulfate compared to the surrounding water bodies. From 1993 to 2011, Devils Lake water levels rose by ~10 m, which flooded surrounding communities and increased the chance of an overspill to the Sheyenne River. To control the flooding, the State of North Dakota constructed two outlets to pump the lake water to the river. However, the pumped water has raised concerns about of water quality degradation and potential flooding risk of the Sheyenne River. To investigate these perceived impacts, a Soil and Water Assessment Tool (SWAT) model was developed for the Sheyenne River and it was linked to a coupled SWAT and CE‐QUAL‐W2 model that was developed for Devils Lake in a previous study. While the current outlet schedule has attempted to maintain the total river discharge within the confines of a two‐year flood (36 m³/s), our simulation from 2012 to 2018 revealed that the diversion increased the Sheyenne River sulfate concentration from an average of 125 to >750 mg/L. Furthermore, a conceptual optimization model was developed with a goal of better preserving the water quality of the Sheyenne River while effectively mitigating the flooding of Devils Lake. The optimal solution provides a “win–win” outlet management that maintains the efficiency of the outlets while reducing the Sheyenne River sulfate concentration to ≤600 mg/L.     

Trace Metal Levels in Mussels (Mytilus Galloprovincialis L. 1758) from Turkish Aegean Sea Coast

Bio-monitoring of some heavy metal levels (Cd, Pb, Zn, Cu) in whole edible soft parts of Mytilus galloprovincialis (L. 1758) was conducted in Turkish Aegean Sea coast during the period of September 2002–August 2003 seasonally. Moreover, some physico-chemical environmental parameters, also have been analysed in the same region. The values of some physico-chemical environmental parameters in coastal waters of Turkish Aegean Sea were changed between; 9.0–27.0 ^∘C for temperature, 31.93–40.45 psu for salinity, 7.35–8.48 for pH and 4.05–9.50 mg/l for dissolved oxygen. The levels of trace elements in whole edible soft parts including interstitial fluids of Mediterranean mussels M. galloprovincialis (L. 1758), sampled from 6 different regions of Turkish Aegean Sea coast have ranged between; 0.04–0.52 μg Cd/g wet weight, 0.49–1.72 μg Pb/g w.w., 0.95–1.85 Cu/g w.w., 16.11–37.15 μg Zn/g w.w. The highest values for all trace metals (Cd, Pb, Zn, Cu) were measured in inner part of Izmir Bay (station 3) and lowest in Sigacik and Gulluk Bay (station 5, 6). Generally heavy metal levels are lower than the results in soft mussel tissues reported from Mediterranean regions.     

Monitoring a changing Arctic: Recent advancements in the study of sea ice microbial communities

Sea ice continues to decline across many regions of the Arctic, with remaining ice becoming increasingly younger and more dynamic. These changes alter the habitats of microbial life that live within the sea ice, which support healthy functioning of the marine ecosystem and provision of resources for human-consumption, in addition to influencing biogeochemical cycles (e.g. air–sea CO₂ exchange). With the susceptibility of sea ice ecosystems to climate change, there is a pressing need to fill knowledge gaps surrounding sea ice habitats and their microbial communities. Of fundamental importance to this goal is the development of new methodologies that permit effective study of them. Based on outcomes from the DiatomARCTIC project, this paper integrates existing knowledge with case studies to provide insight on how to best document sea ice microbial communities, which contributes to the sustainable use and protection of Arctic marine and coastal ecosystems in a time of environmental change.Supplementary InformationThe online version contains supplementary material available at 10.1007/s13280-021-01658-z.     

南海重点海洋倾倒区表层沉积物富集特征及其潜在生态风险评价

根据2005南海三个重点海洋倾倒区,即九澳岛重点海洋倾倒区、黄茅岛重点海洋倾倒区、汕头重点海洋倾倒区的监测,分析其表层沉积物重金属的监测资料,采用富集系数法和Hakanson潜在生态危害系数法对其富集度和潜在生态危害程度进行了分析和评价.结果表明:在三个倾倒区表层沉积物所监测的重金属中,Cu和Pb元素的富集度相对最高,Hg和Cd元素的富集度较低,从空间上看,潜在生态危害系数评价结果显示,南海三个重点海洋倾倒区表层沉积物中的重金属对海洋生态系统的潜在生态危害非常轻微,均属于轻微潜在生态危害范畴,其中轻微潜在生态危害程度相对较重的是Cd和Hg元素,Cu和Pb元素的轻微生态危害程度较轻.     

海洋四水团混合的定量化分析和方法比较及其在东海西南海区的应用

通过构造理想的四水团混合模型,对传统温-盐二指标图解和三指标钜阵求解分析水团混合的方法进行比较,认为三指标估算结果更接近真实值.但温、盐数据因为易得且准确性好,所以传统方法仍具有一定的实用价值.在东海西南海区的应用中,检验了天然放射性226Ra核素作为第三个指标的可行性,并对实际水团混合情况进行了评估.证实黑潮次表层水在夏季顺陆坡边缘爬升后沿底部向岸运移,并在近岸涌升,是东海陆架区营养盐外源补充的一个重要动力.     

南中国海地区红树林的利用和保护

南中国海具有丰富的浅海和热带的生物多样性,是全球红树林分布的中心之一.南中国海地区红树林面积大约占全球的28%,该区红树植物的多样性为世界最高,共有46种真红树分布于此.由于受人口增加和经济发展的巨大压力,南中国地区红树林资源破坏严重,退化趋势明显.虽然南中国海周边国家过去都实施了相应的海洋环境保护行动计划,然而缺乏区域协调措施大大降低了这些行动的有效性.本文在对南中国海地区红树林资源的利用现状和退化原因进行分析的基础上,提出南中国海地区红树林资源保护与管理的建议,以期能在双边或区域的层面上共同协作,采取适当的措施去扭转南中国海地区红树林生境退化趋势.     

环渤海临海区域经济发展态势与忧患

环渤海地区作为“十一五”期间国家优化开发的区域。经济发展日益呈现加速化、重工业化的总体趋势。探讨环渤海临海区域经济发展态势与忧患具有重要的现实意义。在对环渤海地区经济发展现状和特征分析的基础上．结合生产力布局向沿海地区推进的态势分析。深入剖析了地区经济发展面临的日益严重的渤海资源和生态环境问题——岸线利用缺乏合理性、区域产业结构布局不平衡、海域污染范围持续扩大等,并进一步提出缓解矛盾的对策建议,希望有助于环渤海地区经济的可持续发展,同时引起国家和地方政府对渤海生态安全的高度重视。     

Nutrient dynamics between sediment and overlying water in the inner part of Izmir Bay, Eastern Aegean

In this article a concept is described in order to predict and map the occurrence of benthic communities within and near the German Exclusive Economic Zone (EEZ) of the North Sea. The approach consists of two work steps: (1) geostatistical analysis of abiotic measurement data and (2) calculation of benthic provinces by means of Classification and Regression Trees (CART) and GIS-techniques. From bottom water measurements on salinity, temperature, silicate and nutrients as well as from punctual data on grain size ranges (0–20, 20–63, 63–2,000 μ) raster maps were calculated by use of geostatistical methods. At first the autocorrelation structure was examined and modelled with help of variogram analysis. The resulting variogram models were then used to calculate raster maps by applying ordinary kriging procedures. After intersecting these raster maps with punctual data on eight benthic communities a decision tree was derived to predict the occurrence of these communities within the study area. Since such a CART tree corresponds to a hierarchically ordered set of decision rules it was applied to the geostatistically estimated raster data to predict benthic habitats within and near the EEZ.     

南海中南部水域海水中重金属的分布特征

2010年秋季对我国南海部分海域进行调查,按照采样标准规范采集了16个站位不同水层的海水样品,采用附有ISIS进样系统的电感耦合等离子体质谱法直接测定了海水中痕量重金属Cr、Cu、Zn、As、Cd及Pb元素含量,考察了重金属在南海海水中分布状况;同时测定了海水样品的盐度、温度、pH、溶解有机碳(DOC)及溶解氧(DO),分析各项参数垂直分布变化规律及其与重金属的分布变化相关性。结果表明,南海海水中重金属含量较低,变化范围较小,除部分站位Pb元素外,重金属含量低于国家一类海水水质标准,不同站位间所有重金属总和分布没有明显差异性;重金属元素间分布变化趋势存在一定的相关性;盐度、温度、pH、DOC、DO与重金属分布变化存在着比较显著的相关性规律。