Numerical Simulation of Nutrient and Phytoplankton Dynamics in Guangxi Coastal Bays,China

The increasing riverine pollutants have resulted in nutrient enrichment and deterioration of water quality in the coastal water of Guangxi Province, China. However, the quantitative relationship between nutrient loads and water quality responses, which is crucial for developing eutrophication control strategies, is not well studied. In this study, the riverine fluxes of nutrients were quan- tified and integrated with nutrient cycling and phytoplankton dynamics by using box models for Guangxi coastal bays. The model concepts and biogeochemical equations were the same; while most model parameters were specific for each bay. The parameters were calibrated with seasonal observations during 2006--2007, and validated with yearly averaged measurements in 2009. The gen-eral features of nutrient and phytoplankton dynamics were reproduced, and the models were proved feasible under a wide range of bay conditions. Dissolved inorganic nitrogen was depleted during the spring algal bloom in Zhenzhu Bay and Fangcheng Bay with relatively less nutrient inputs. Phosphorus concentration was high in spring, which decreased then due to continuous phytoplankton consumption. Chlorophyll-a concentration reached its annual maximum in summer, but was the minimum in winter. Eutrophication was characterized by both an increase in nutrient concentrations and phytoplankton biomass in Lianzhou Bay. Either about 80% re-duction of nitrogen or 70% reduction of phosphorus was required to control the algal bloom in Lianzhou Bay. Defects of the models were discussed and suggestions to the environmental protection of Guangxi coastal bays were proposed.     

Identification of source of a marine oil-spill using geochemical and chemometric techniques

The current work aimed to identify the source of an oil spill off the coast of Maranhão, Brazil, in September 2005 and effect a preliminary geochemical survey of this environment. A combination of bulk analytical parameters, such as carbon isotope (δ¹³C) and Ni/V ratios, and conventional fingerprinting methods (High Resolution Gas Chromatography and Mass Spectrometry) were used. The use of bulk methods greatly speeded source identification for this relatively unaltered spill: identification of the likely source was possible at this stage. Subsequent fingerprinting of biomarker distributions supported source assignment, pointing to a non-Brazilian oil. Steranes proved the most useful biomarkers for sample correlation in this work. Distribution patterns of environmentally more resilient compound types, such as certain aromatic structures, proved inconclusive for correlation, probably in view of their presence in the background.     

Apparent dynamic stability of the southeast African coast despite sea level rise

The coast of southeast Africa is dominated by sandy beaches that tend to be confined within log‐spiral or headland‐bound embayments. Investigations using serendipitous air imagery data set have been previously undertaken and conclusions drawn about the stability of the coast. We show that conclusions drawn from this data, with respect to the high water mark (HWM) position are fraught with errors, which include tidal state, pressure regime, beach slope, high‐swell erosion, seasonal and multi‐annual changes. We highlight and discuss these sources of error, together with their magnitudes. The most significant of these are the high‐swell, seasonal and multi‐annual variations. From case studies we show that the seasonal beach rotation and long‐term beach width variation are responsible for tens of metres of unaccounted HWM variation, 30 to 50 m is common, with maximums reaching 60 to 100 m. Overall the southeast African coastline appears to be in a state of long‐term dynamic equilibrium. There is no evidence of any sea‐level rise‐forced transgression in the coastal sediment budget, despite sea‐level rise (SLR). If such a signal is, in fact present, it is lost within the beach width variation. Some southeast African coastal reaches are suffering chronic erosion, but these are related to anthropogenic impacts. The extreme difficulty of placing a HWM, with any temporal validity on this coast precludes the routine use of the Bruun Rule. Although no transgressive signature is found, there is evidence of a decreasing coastal sand budget as a result of anthropogenic or natural climate change, or both. This decrease in the coastal sand volume is likely to result in increased future erosion. Copyright © 2016 John Wiley & Sons, Ltd.     

渤中坳陷大型油气系统输导体系及其对油气成藏控制

渤中坳陷东营组沉积期以来快速沉降和强烈断裂活动的地质背景导致其呈现出不同于渤海湾盆地其他地区的油气成藏特征.凹陷周缘凸起带成为油气聚集的主要场所, 输导体系的分布与演化控制了油气运移和成藏.在阐明渤中坳陷大型油气系统烃源岩和油气分布规律的基础上, 综合利用多种资料分析了各类潜在输导通道的发育特征及其空间配置, 识别出断裂主导型、砂体主导型和不整合主导型3类控藏输导体系.凸起边缘继承性的长期断层充当了垂向流体释放和油气运移的主输导通道, 控制了凸起带上新近系储集层中的油气聚集.特别是在构造活跃期, 开启的长期断层成为油气快速垂向运移的首选通道.古近系沙河街组和东营组的连通性砂体与活跃烃源岩直接接触, 不仅是早期油气运移和聚集的主要场所, 也是晚期油气运移和聚集的始发站.因此, 它们不仅控制了古近系圈闭的油气聚集, 同时在很大程度上直接控制了凸起带新近系圈闭的油气供给.不整合T₈是中生代末区域构造变革的产物, 其渗透性因风化作用而得以提高, 充当了深部侧向油气运移的输导通道, 控制了潜山储集层中的油气成藏.3类输导体系对油气成藏的时间、部位、速率和规模等都具有不同程度的影响, 但断裂主导型输导体系的控制作用最为显著.      

杭州湾淤泥质海岸岸线变化及其动态模拟

通过对杭州湾北岸南竹港-龙泉岸段实测岸滩断面资料的统计分析,进而对淤泥质海岸岸线变化、影响因素及其动态模拟预报进行探讨。结果表明:因长江来沙减少以及侵蚀/淤积波自东向西移动,导致近10a来该岸段岸滩处于侵蚀状态,其中岸线整体后退;因季节性的波侯作用,岸滩具有冬淤夏冲的特征,岸线则表现为冬涨夏退,因局部工程作用影响的岸线则具有冬退夏涨的特征。此外,基于-3m和-8m等深线构建的径向基函数神经网络模型预报岸线的变化是可行的。     

大连开发区小窑湾地区岩溶地质灾害研究

在我国,岩溶是一种分布比较普遍的不良地质作用,在一定条件下可能发生地质灾害,严重威胁工程安全。本文依据大连开发区域小窑湾的区域地质、地质构造、水文地质等情况,分析了该区岩溶形成机理,并结合工程实例,总结了本区域岩溶的发育规律,提出了相应的岩溶灾害治理措施。     

广东流沙湾叶绿素a含量和初级生产力状况的研究

对流沙湾叶绿素a含量和初级生产力周年调查结果表明, 流沙湾叶绿素a含量变化在0.09—25.35mg/m3之间, 平均2.91mg/m3。叶绿素a含量有明显的月变化, 各站位叶绿素a含量在3—5月份较低, 最高出现在8月份和11月份, 平均4.58mg/m3, 出现二个峰值。同一站位不同月份叶绿素a含量总体上差异显著(P<0.05)。流沙湾的初级生产力变化范围是6.89—1482.55mgC/(m2·d), 平均242.74mgC/(m2·d)。初级生产力不同月份存在着明显的差异, 其中, 11月份最高, 8月份和翌年1月份次之, 3—5月份初级生产力处于最低水平。流沙湾叶绿素a含量和初级生产力有明显的水平分布, 最高值出现在湾中央处的4号站和湾北部的5号站, 最低值出现在湾口西部的1号站和湾底南部的9号站, 各站位之间总体上差异显著(P<0.05)。     

福建东山湾潮流和余流特征研究

东山湾位于台湾海峡南口的西岸,属于潮控型半封闭海湾.本文章通过对M1站1周年的流速、流向及对应的风速、风向资料进行分析,结果表明:M1站正压流动特征显著,潮流日不等现象较明显,相邻潮次中涨急流速明显小于落急流速.观测期间,M1表、中、底3层实测最大涨潮流速分别为83,78,71 cm/s,实测最大落潮流速分别为152,104,100 cm/s.夏季表层余流流速明显大于中层和底层,冬季各层余流速相差则较小.径流是M1站的余流的主要因子.夏季,径流对表层作用最为明显,其余流流速明显大于中层和底层,中、底层由于受温盐跃层产生的斜压效应作用,出现较长时段的北向余流;冬季东山湾平面和垂向温、盐分布均匀,各层余流流向均为落潮方向,且表层往底层方向,流速变幅不大.由于其半封闭型的海湾形态,风应力对东山湾的余流贡献较小.     

杭州湾国家湿地公园观鸟生态旅游开发及对策研究

对观鸟旅游在国内外的发展进行概要梳理之后,分析了杭州湾湿地公园发展观鸟旅游的条件及存在问题,最后提出了杭州湾湿地公园发展观鸟生态旅游的建议与对策。     

海湾水环境影响的约瑟夫-新德那模式预测

对应用约瑟夫-新德那模式进行海湾水环境影响预测中存在的问题作了初步分析,海域水流、混合深度值的选取及特殊污染物的存在等是影响预测结果准确性的主要因素。潮流憩流状态时,污染物的迁移扩散主要取决于污染物的混合速度,污染物基本上以近似于半圆形呈π弧度的角度向水体混合扩散,预测结果与污染物实际迁移扩散状况大致吻合;潮流非憩流或大部分时间为非憩流状态时,海域水流对污染物的迁移扩散影响较大,混合角度与海流流速成反比,污染物向水体扩散的实际混合角度要小于π弧度,预测的结果与污染物实际迁移扩散状况存在较大差距。海域水流对污染物迁移距离产生很大影响,水流愈大,污染物迁移的距离就愈远。混合深度的取值也直接关系到预测结果的准确性,若按可能受影响范围海域的平均水深值作为混合深度取值,其预测结果要比水深取2m时的预测结果更接近真实状况。对已达标排放的废水进行影响预测时,结果与实际情况接近,而对高浓度石油类的废水含量的影响预测却与实际情况差异极大。