基于实测高光谱数据的太湖悬浮物浓度与透明度分区

通过实地测量太湖水体的反射光谱和表层水质,利用实测数据以及水-气界面辐射传输模型计算其遥感反射率,并根据太湖的实际水质状况将其划分为3个区域,分别分析太湖总体和分区的反射光谱曲线,建立太湖不同区域水体悬浮物浓度和透明度的反演模型。结果表明,就悬浮物浓度和透明度而言,太湖3个区域中以东太湖水质最佳,贡湖、梅梁湖和竺山湖次之,南部和西部最差;对太湖进行分区研究能够更好地反应太湖水质的差异性,拟合各区域的水质状况,分区模型精度较全湖区模型高,误差也普遍较小,能够提高研究结果的可信度和可行性。     

Phosphorus in Sediments of Lake Edku, Egypt. The Influence of Chemical and Grain Size Parameters

Lake Edku is one of the Nile Delta shallow brackish water coastal lagoons with communications with the southeastern Mediterranean.

Sediment samples were recovered from the top 10 cm of the lake bottom to study principally their total, inorganic and organic phosphorus. Related sediment parameters such as particle size, organic carbon, carbonate and iron contents were also studied in detail.

It is shown that the lake sediments are generally a sand-silt-clay mud enriched with carbonate (11.4-42%), organic carbon (0.9-11.4%) and iron (1.6-5.6%).

The total phosphorus content in these sediments is 503-1329 μg/g, inorganic phosphorus, 468-954 μg/g and organic phosphorus, 35-526 μg/g.     

Gas Transfer Coefficient Evaluation in the Mediterranean Sea Using Bomb Produced Radiocarbon

A study on the carbon dioxide exchange at the water-air interface in the Western Mediterranean Sea was carried out. the attention was focused on the mean air-sea flux estimations by radiocarbon profiles and bomb ¹⁴C concentration atmospheric data. Sampling techniques and analytical methods are reported; mass balance evaluations on data recorded during the MED'92 cruise are presented and discussed briefly.     

Source identification and prediction of nitrogen and phosphorus pollution of Lake Taihu by an ensemble machine learning technique

● A machine learning model was used to identify lake nutrient pollution sources. ● XGBoost model showed the best performance for lake water quality prediction. ● Model feature size was reduced by screening the key features with the MIC method. ● TN and TP concentrations of Lake Taihu are mainly affected by endogenous sources. ● Next-month lake TN and TP concentrations were predicted accurately. Effective control of lake eutrophication necessitates a full understanding of the complicated nitrogen and phosphorus pollution sources, for which mathematical modeling is commonly adopted. In contrast to the conventional knowledge-based models that usually perform poorly due to insufficient knowledge of pollutant geochemical cycling, we employed an ensemble machine learning (ML) model to identify the key nitrogen and phosphorus sources of lakes. Six ML models were developed based on 13 years of historical data of Lake Taihu’s water quality, environmental input, and meteorological conditions, among which the XGBoost model stood out as the best model for total nitrogen (TN) and total phosphorus (TP) prediction. The results suggest that the lake TN is mainly affected by the endogenous load and inflow river water quality, while the lake TP is predominantly from endogenous sources. The prediction of the lake TN and TP concentration changes in response to these key feature variations suggests that endogenous source control is a highly desirable option for lake eutrophication control. Finally, one-month-ahead prediction of lake TN and TP concentrations (R² of 0.85 and 0.95, respectively) was achieved based on this model with sliding time window lengths of 9 and 6 months, respectively. Our work demonstrates the great potential of using ensemble ML models for lake pollution source tracking and prediction, which may provide valuable references for early warning and rational control of lake eutrophication.     

Revealing the factors affecting occurrence and distribution of polycyclic aromatic hydrocarbons in water and sediments of Lake Baikal and its tributaries

The concentrations of polycyclic aromatic hydrocarbons (PAH), total carbon (TC), total organic carbon (TOC), total nitrogen (TN) and dissolved inorganic nitrogen (DIN) in water and sediments of Lake Baikal and its tributaries were measured. It was found that according to existing water and sediment quality standards limiting permissible PAH concentrations, both surface waters and sediments in Lake Baikal watershed can be considered as unpolluted with PAHs compounds. Nevertheless, the spatial distribution of PAH concentrations in lake water indicates the existence of some point PAH sources in and around the lake. These sources were natural oil seeps and communal facilities such as residential coal-fired and oil-fired boilers. It was observed that concentrations of PAHs in both water and sediments are controlled by organic matter content and organic matter mineralisation degree, as indicated by PAH-to-carbon and nitrogen-to-carbon ratios respectively. It was found that PAH/TOC and PAH/TC ratios characterise PAH loading on water and sediments respectively, whereas DIN/TOC and TN/TC ratios characterise self-purification of water and sediments respectively. It was proved that PAH/TOC and DIN/TOC ratios can be used as tracers to evaluate the PAH contributions from tributaries to Lake Baikal.     

Life-cycle model of terrestrial carbon exchange

We present here a terrestrial carbon cycle model based on a scheme of the phytomass change, which is continuous in time. The experimental information about net primary production, living and dead phytomass, and soil organic matter for various ecosystems is used for calibration of the model. The suggested model enables to characterize terrestrial ecosystems as carbon sources or carbon sinks and to evaluate intensity of these sources and sinks. The model is applied for the European territory of Russia as a case study. Intensity of the total exchange carbon flux for this territory is evaluated. The obtained results allow to conclude that the given territory is the sink of carbon.     

大气CO2升高对土壤碳循环影响的研究进展

土壤有机碳是陆地碳库的重要组成部分,其积累和分解的变化直接影响全球的碳平衡。据估计,全球土壤（表层1m）有机碳积累总量相当于大气中碳总量的2～3倍。土壤是温室气体的源或汇,土壤碳库的变化将影响大气C02的浓度,因此,土壤碳库对人类活动的响应也是全球碳循环和全球变化研究的热点。在全球变化的大背景下,大气CO2升高导致植被生态系统碳平衡的改变进而对土壤碳循环产生影响。总结了陆地生态系统碳循环对大气C02浓度升高响应的主要生物学机制及过程,简述了大气C02浓度升高对影响土壤碳输入和输出的各因素的研究进展,并指出未来研究的主要方向。在大气C02浓度升高条件下,陆地生态系统碳循环的变化主要反映在以下几个方面：1）不同类型植物群落的净初级生产力（NPP）显著增加,但湿地植物的净初级生产力也有可能降低;2）光合产物向根系分配的数量增加,地上／地下生物量降低,根系形态发生变化,根系周转速率和根系分泌等过程的碳流量提高;3）植物含氮量降低,C／N提高,次生代谢产物增加,微生物生长受到抑制,植物残体分解速率降低;4）土壤呼吸速率显著增加,提高幅度受植物类型与土壤状况的影响;5）进入土壤的植物残体及分泌物的数量和性质影响土壤酶的活性,脱氢酶和转化酶活性增加,酚氧化酶和纤维素酶受植物类型与环境条件的影响;6）土壤中真菌的数量的增加幅度要高于细菌;7）CH4释放量增加,在植物的生长期表现更为明显。由于陆地生态系统碳循环的复杂性,研究结果仍有很大的不确定性。大气C02浓度升高与全球变化的其它表现间的交互作用将是今后研究的重点,同时由于土壤碳循环是一个由微生物介导的生物地球化学循环过程,因此,加强陆地生态系统碳循环的微生物机制研究也将为全面理解碳循环的过程提供更加准确的研究理论基础。     

Identification of Anthropogenic Organic Contamination Associated with the Sediments of a Hypereutropic Tropical Lake, Venezuela

The concentrations of organic carbon (Corg), inorganic carbon (Cinorg), organic nitrogen (Norg) and total aromatic (Arom_T) were determined in 25 samples of bottom sediments from the Lake Valencia, Venezuela, as a contribution to the knowledge about pollution by organic compounds in tropical lakes. Results demonstrate that the Corg and Norg concentrations do not show the pollution indexes by themselves. This is a consequence of the masking effect of naturally derived organic matter from the decay of algae and organisms in the water column and terrestrial plants, which are transported to the lake. Nevertheless, the Arom_T concentrations and the normalised Arom_T (normalized to organic carbon) make it possible to detect organic matter of anthropogenic origin, in the Arom_T levels are about nine times higher than those natural. The variation in the band intensity of the IRFT spectra for some functional groups present in the saturate and aromatic hydrocarbon fractions gives an indication of anthropogenic contribution for some zones of the lake. With the ¹H NMR spectra it was not possible to differentiate a natural source from an anthropogenic one in the lake. Naturally occurring organic compounds (eicosane, pentacosane, and hexacosane) were detected with GC technique in the saturated hydrocarbon fraction. The presence of an unresolved complex mixture (UCM) in the GC chromatograms indicates pollution by branched and cyclic hydrocarbons. These compounds are probably produced by the incomplete combustion of oil products. Potentially toxic organic compounds such as anthracene, phenanthrene and chrysene were found in the aromatic hydrocarbon fraction, which despite presenting low concentrations (ppb order) accumulate in the lake sediments along with the natural source organic matter. The main access paths of organic pollutants to the lake are the rivers which cross the two urban and industrial areas (Maracay and Valencia cities). The mixture of polluted sediments with bottom natural sediments and the autochthonous contribution of organic matter mitigate the pollution levels progressively towards the center of the lake.     

太湖重污染湖区和水源地水质概况及藻毒素污染环境风险

近年来太湖流域局部水质状况有所改善,但太湖藻型生境条件还未根本改变,水污染防治任务依然艰巨。确保太湖湖体水质稳定达标,尤其是加强对太湖重点湖区和水源地重点污染物的调查研究十分重要。在此背景下,本文调研了太湖重点湖区和水源地水质概况、藻毒素污染时空分布特征、环境影响因子和迁移转化规律,并总结了藻毒素的环境和健康风险研究的最新进展,指出了太湖西部湖区和饮用水源地的主要环境风险,以及未来太湖藻毒素污染相关研究需解决的关键技术问题,以期为促进太湖流域重点污染物的控制和治理,确保太湖饮用水源地安全提供有益借鉴。     

Quantitative characterization of Cu binding potential of dissolved organic matter （DOM） in sediment from Taihu Lake using multiple techniques

Dissolved organic matter （DOM） plays an important role in heavy metal speciation and distribution in the aquatic environment especially for eutrophic lakes which have higher DOM concentration. Taihu Lake is the third largest freshwater and a high eutrophic lake in the downstream of the Yangtze River, China. In the lake, frequent breakout of algae blooms greatly increased the concentration of different organic matters in the lake sediment. In this study, sediment samples were collected from various part of Taihu Lake to explore the spatial difference in the binding potential of DOM with Cu. The titration experiment was adopted to quantitatively characterize the interaction between Cu（II） and DOM extracted from Taihu Lake sediments using ion selective electrode （ISE） and fluorescence quenching technology. The ISE results showed that the exogenous DOM had higher binding ability than endogenous DOM, and DOM derived from aquatic macrophytes had a higher binding ability than that derived from algae. The fluorescence quenching results indicated that humic substances played a key role in the complexation between DOM and Cu（II） in the lake. However, because of the frequent breakout of algae blooms, protein-like matters are also main component like hnmic matters in Taihu Lake. Therefore, the metals bound by protein-like substances should be caused concern as protein-like substances in DOM were unstable and they will release bound metal when decomposed.     

太湖地区“禁磷”措施的效果及在富营养化控制中的作用

通过太湖地区采取“禁磷”措施前后城市生活污水、主要入湖河水和湖体水域中磷浓度与富营养化指数变化的分析 ,证实“禁磷”措施对降低居民生活污水中磷浓度的作用较为明显 ,降幅为 2 4 %左右 ,但对入湖河道和湖体水域中磷浓度与水体富营养化的影响则不明显。表明太湖富营养化的改善 ,除了实施“禁磷”措施外 ,尚需结合流域内其它污染治理措施 ,进行综合治理 ,才能取得较好的效果。     

太湖有色可溶性有机物4种光谱模型的对比

利用指数函数、幂函数等4种模型对太湖2006-2007年50个站点250个样本的有色可溶性有机物(CDOM)光谱吸收系数进行拟合,发现其他3种模型都比传统的取自然对数进行线性回归的模型拟合效果好.统计检验显示,幂函数模型的光谱拟合效果最好,平均决定系数为0.999 0,大于其他3种模型,而平均相对误差、均方根误差则小于其他3种模型.利用幂函数模型计算得到,在280～500 nm光谱范围内,CDOM吸收光谱斜率均值为(6.66±0.40) nm-1,变异系数6.08%,其频率基本上遵循正态分布.对于太湖CDOM吸收光谱斜率值,在空间分布上,梅梁湾显著小于大太湖开阔水域(P< 0.001);时间分布上,最大值出现在春季,最小值在秋季,夏季值小于冬季值.CDOM吸收光谱斜率与吸收系数呈显著负相关,相关性随波长增加而增强.     

普萘洛尔在太湖沉积物上的吸附特征

主要研究了pH、离子强度、腐殖酸和沉积物有机质对普萘洛尔在太湖沉积物上吸附行为的影响.结果表明,沉积物对普萘洛尔具有一定的吸附能力.在强酸环境下,由于H+与带正电荷的普萘洛尔之间的竞争作用使得普萘洛尔的吸附量较小,随着pH的增大,吸附量逐渐增大至基本稳定,但当pH＞9时,吸附量明显下降.K+、Na+和Ca2+的存在会减...     

Organophosphate esters in sediment from Taihu Lake,China: Bridging the gap between riverine sources and lake sinks

• Eleven OPEs were detected in river sediment and lake sediment in Taihu Lake. • TnBP dominated in river sediment, while TBEP dominated in lake sediment. • A strong correlation existed between logK_oc and logK_ow of OPEs. • Vertical profiles of OPEs in sediment cores varied according to sampling location. Surface sediment samples from Taihu Lake in China and its inflow rivers, along with two lake sediment core samples, were collected and analyzed for organophosphate esters (OPEs). The concentrations of total OPEs varied from 28.60 ng/g to 158.72 ng/g (median: 54.25 ng/g) in river surface sediment and from 62.57 ng/g to 326.84 ng/g (median: 86.37 ng/g) in lake sediment. Tributyl phosphate (TnBP) was the predominant compound in river surface sediment, and tris(2-butoxyethyl) phosphate was predominant in lake sediment. High contamination occurred in the north-west region, which was related to the high level of urbanization and high usage of OPEs. The sediment–water partition coefficients of OPEs (logK_oc) were calculated, showing a significant correlation with logK_ow (p<0.05). The concentration and composition of OPEs in two sediment cores varied due to the different sampling locations, with more OPE species found in the northern region than in the southern one. Principal component analysis and positive matrix factorization indicated that sewage discharges, vehicle emissions, and atmospheric deposition were the possible sources of OPEs in Taihu Lake sediments. Tris(1-chloro-2-propyl) phosphate, tris(2-chloroethyl) phosphate, and TnBP were the main OPEs causing ecological risks.     

A vertical-compressed three-dimensional ecological model in Lake Taihu, China

A three-dimensional ecological model on the basis of the analyses of environmental characteristics is set up for Lake Taihu, one of the largest shallow lakes in China. The hydrodynamic processes, nutrient cycling, chemical processes and biological processes are integrated in the model. Model state variables include: water current, surface displacement, nutrients of nitrogen and phosphorus, as well as their different forms such as ammonia nitrogen, nitrate nitrogen, phosphate phosphorus, etc., biomasses of macroplankton, phytoplankton, zooplankton and fish, and also the nutrient levels of macroplankton and phytoplankton. A nutrient budget and sediment transformation are also coupled in the model. The data from January 17, 1997 to January 18, 1998 are use to calibrate the model. The model results have shown good agreement with the observations. It implies that the model could be used for the lake environmental management and research for examining the processes and determining the water quality. The reasons of deviations between the modelled results and the observed values are also discussed. There are six factors that explain the deviations of the modelled results from the observed values and they can be grouped into two sets. One set of problems is associated with the standard deviation introduced by sampling and analyses. The second set of problems can be solved by introduction of processes lacking in the present model (resuspension, phytoplankton transportation mode under the wind with low speed, shifts in species composition and varied size of phytoplankton and zooplankton). The latter two processes should be included in the model at a later stage by integration of a structurally dynamic approach into the three-dimensional model.     

无锡市水环境变化及其引发的地质灾害问题与对策

随着经济的快速发展，无锡市水环境质量发生了很大的变化。由于在太湖、五里湖等湖泊周围大规模围湖造田，水域生态环境和原有水系格局被破坏，五里湖、梅梁湖水质恶化，每10年下降一个等级，太湖水质总体上呈现富营养化状态。水环境变化在一定程度上导致了地面沉降的发生，有的地区地下水位呈加速下降的趋势，有的地区已出现多个地下水位降落漏斗，后者面积达220km^2。应该加快区域供水建设步伐，调整工业结构，加强对水资源的管理和调控。     

太湖水华蓝藻中元素的组成及其环境意义

利用电感耦合等离子质谱仪对2008年7、9和10月采自太湖南泉水域的水华蓝藻样本中19种元素(Na、Mg、K、Ca、Zn、Mn、Fe、Al、Cu、Cr、Co、Ni、As、Se、Mo、Ag、Tl、Cd和Pb)的质量含量(w)及组成变化进行研究。结果表明,在藻华中w较高(1 000μg.g-1,以干质量计)的常量元素或有益元素为Ca、K、Na、Mg、Al、Fe。其中,w(Ca)和w(K)较高(4 000μg.g-1),w(Ca)随月份变化不大,而w(K)、w(Mg)、w(Na)则逐月升高。w(Al)、w(Fe)变化较大,7月最高(1 000μg.g-1),之后迅速降低(400μg.g-1);藻华中w在10~100μg.g-1之间变化的元素为Mn、Zn、Ni、Cu,其中,7月这4种元素w均最高,9~10月则降低。藻华中还检出痕量元素Co、Mo和Se,Tl未检出。藻华中积累的有毒元素中w(As)较高(5~15μg.g-1),而w(Cr)、w(Cd)、w(Pb)、w(Ag)均较低(5μg.g-1)。有毒元素w最高值均出现在7月。基于上述结果,推算出2007—2009年采取物理方法除藻从太湖中移除的元素量约为:K595.89 t、Ca 544.03 t、Mg 181.18 t、Al 83.06 t、Na 63.97 t、Fe 55.45 t、Mn 2.99t、Zn 2.26 t、Ni 1.67 t、Cu 1.11 t、As 0.76 t、Cr 94.5 kg、Cd 82.70 kg、Se 45.01 kg、Pb 37.64 kg、Co 32.27 kg、Mo5.41 kg和Ag 2.46 kg。该研究不仅可为进一步寻找关键元素在蓝藻水华爆发过程中的限制作用及其机制提供基础数据,同时也可为评价利用物理除藻方法去除太湖中有毒元素和降低有可能促进藻华发展的营养元素的负荷量的有效性,从而保护和修复渔业环境提供理论依据。     

Impact of climate factors on cyanobacterial dynamics and their interactions with water quality in South Taihu Lake,China

Cyanobacterial bloom events in South Taihu Lake cause serious water quality problems and disturb aesthetic view of lake’s environment. In this study, correlations between cyanobacterial blooms and hydro-meteorological factors, including water quality, temperature and precipitation were investigated. Results demonstrated that South Taihu Lake was heavily affected by cyanobacteria and the proliferation of cyanobacteria due to variations in hydro-meteorological factors and water quality conditions. Water quality parameters, including COD, NH₃-N, TN and TP improved significantly since 2008 even at an elevated cyanobacterial bloom situation. Correlation analyses have shown that the development of cyanobacterial density and chlorophyll a concentration was sensitive to a wider temperature variation. The optimum temperature for cyanobacteria was 20°C, while extremely low and high temperatures were found to suppress their growth. Moreover, unusual rainfall patterns were measured during the study period (2003–2009), which showed an adverse impact on cyanobacterial development. Findings from this study suggested that seasonal lake’s water quality monitoring; suitable treatment of cyanobacterial blooms and strict policy implementation can solve the water quality issues in highly eutrophic lakes like Taihu.     

Lake phosphorus dynamics and climate warming: A mechanistic model approach

Model results in this work indicate that lakes may respond very differently to climate change depending on their physical character. A physical lake model and a mechanistic phosphorus model are combined with two temperature scenarios generated by a regional climate model (RCM) in three sites in central Sweden—Lake Erken and two basins of Lake Mälaren (Galten and Ekoln). In the phosphorus model water mixing, mineralization, diffusion and biouptake are temperature dependent. In the simulations, Lake Erken is much more sensitive to climate warming than the two basins of Lake Mälaren, and the reason is shown to be the much longer water residence time in Lake Erken (7 years), stressing the importance of internal lake processes. In Galten and Ekoln the water residence times are less than 1 year, and the effects of water temperature changes are small. In Lake Erken the concentration of epilimnetic-dissolved phosphorus is almost doubled in spring and autumn in the warmest climate scenario. Since the lake is mostly phosphorus limited, this means that the potential for phytoplankton production is almost doubled. The implication would be that in Lake Erken, and in other eutrophic lakes with long water residence times, eutrophication problems may become serious in the future, and that managers may need to take action today in order to maintain good water quality in these lakes.     

A simulation model to evaluate the impacts of invasive earthworms on soil carbon dynamics

Recent studies have reported that earthworm invasions alter native communities and impact nutrient cycling in terrestrial ecosystems. We developed a simulation model to evaluate the potential impacts of earthworm invasions on carbon dynamics, taking into consideration earthworm feeding strategies and priming effects on the microorganisms through their casting activities. Responses of carbon stocks (forest litter, soil organic matter, microbial biomass and earthworm populations) and carbon fluxes (litter decomposition, earthworm consumption, and microbial respiration) were used to evaluate an earthworm invasion of a forest ecosystem. Data from a northern temperate forest (Arnot Forest, New York) were adapted for model calibration and evaluation. Simulation results suggest that the impact and outcome of earthworm invasions are affected by pre-invasion resource availability (litter and soil organic matter), invasive earthworm assemblages (particularly feeding strategy), and invasion history (associated with earthworm population dynamics). The abovementioned factors may also determine invasion progress of earthworm species. The accuracy of the model could be improved by the addition of environmental modules (e.g., soil water regimes), precise parameters accounting for individual species attributes under different environmental conditions (e.g. utilization ability of different types of food resources), as well as earthworm population dynamics (size and structure) and interactions with predators and other invasive/indigenous species during the invasion progress. Such an earthworm invasion model could provide valuable evaluation of the complicated responses of carbon dynamics to earthworm invasions in a range of forest ecosystems, particularly under global change scenarios.