巢湖水体悬浮物含量与光谱反射率的关系

利用高光谱地物光谱仪在巢湖进行了反射光谱测量和同步水质采样分析，在分析巢湖水体反射光谱特征的基础上，分别研究了悬浮物浓度与水体光谱反射率和光谱反射率的一阶微分之间的关系，结果表明在近红外波段范围，单波段反射率和一阶微分光谱反射率都与悬浮物的浓度有较好的相关性，而且利用微分光谱估算内陆水体悬浮物浓度有较大潜力。     

滆湖东岸生态修复试验区的水质净化效果

在滆湖东岸的小庙港湾,构建由沉水、浮叶和挺水植物组成的生态修复试验区,研究其水质净化效果.于2009年12月至2010年11月,跟踪监测敞水区(对照区)和试验区的水体理化指标.结果表明:(1)试验区水体悬浮物(SS)的去除效果较好,周年平均去除率达24.85％.(2)试验区水体透明度改善较明显,比敞水区提高11.24％. (3)试验区水体总磷(TP)和叶绿素a(Chl-a)的去除效果明显,两者浓度周年平均值分别比敞水区下降21.90％和22.83％.(4)试验区水体总氮(TN)、氨氮(NH3-N)和高锰酸钾盐指数(CODMn)的周年去除率较低.与敞水区相比,CODMn和NiH3-N浓度的周年平均值分别仅下降9.49％和3.52％,TN浓度周年平均值比敞水区增加6.69％.(5)试验区水体水质的净化效果受季节、水生植物生长状况等因素的影响.     

太湖沉水和浮叶植被及其水环境效应研究

运用GPS定位技术和常规采样方法,于2004年5月和9月对太湖沉水植物与浮叶植物的种类、群落类型、生物量及其水质状况进行了调查。结果表明:沉水植物与浮叶植物是太湖水生植被的主要类型,沉水植物群落类型主要有6个:微齿眼子菜群落;马来眼子菜群落;伊乐藻群落,穗花狐尾藻群落,金鱼藻群落,苦草群落;浮叶植物群落类型主要有3个:莕菜群落,金银莲花群落,菱群落。在春季,沉水植物占绝对优势,在夏秋季,浮叶植物则逐渐发展,尤其以莕菜生长最快。通过对有草区和无草区水质的比较,发现水生植被能显著提高水体的透明度、降低营养盐浓度和叶绿素含量,改善水质。     

基于Landsat 8影像的太湖生化需氧量遥感反演

生化需氧量(BOD)是监测水体有机污染的重要水质参数,运用遥感技术进行水体BOD监测具有快速、便捷的优势。利用2016年7月27日和2016年8月28日Landsat 8/OLI影像数据与2016年8月1—4日和2016年9月1—8日40个样点实测BOD浓度数据,对BOD浓度与Landsat 8像元光谱反射率进行相关分析并选取敏感波段,运用建模集数据构建偏最小二乘回归模型(模型决定系数为0.61,预测均方根误差为0.69mg·L~(-1),预测偏差比为1.61)进行数据验证,实测值和预测值的相关系数达到0.85,预测均方根误差为0.74mg·L~(-1),预测模型效果较好,说明应用Landsat8/OLI数据进行太湖BOD浓度监测具有可行性。将得到的偏最小二乘回归模型运用至2016年7月27日和2016年8月28日Landsat 8影像得到BOD遥感反演图,遥感反演图中BOD空间分布特征与2016年8月1—4日和2016年9月1—8日样点BOD空间插值结果吻合较好。遥感反演图能更清楚地表征太湖BOD的分布情况,BOD浓度从太湖南部向北部逐渐增加,中南部区域BOD浓度低,西北部、边缘地区以及东南部区域BOD浓度较高。运用太湖其他时段Landsat 8影像与实测BOD浓度构建偏最小二乘回归模型,2016年4月和2017年3月建模效果均比较好,说明偏最小二乘回归方法具有较强的适用性。分析多时段反演结果,2016年中期太湖有机污染状况较初期严重,说明水体有机物质受季节和温度等因素的影响。综上,偏最小二乘回归模型能够较准确估算水体BOD浓度及其空间分布,可为太湖有机污染的评价和治理提供依据。     

北京什刹海区域水体富营养化时空演变特征分析

通过现场调研及资料收集,对北京什刹海区域东小村桥、松林闸、后海、前海、北海等5个监测点水体的总氮(TN)、总磷(TP)、高锰酸钾指数(CODMn)、透明度(SD)、叶绿素a(Chl-a)及综合营养状态指数的时空变化趋势进行分析和评价.结果表明,2007—2013年间什刹海区域水体TN和TP浓度偏高,Pearson相关系数分析表明水体TP浓度和综合营养状态指数呈显著正相关,即磷为水体富营养限制性因素.从时间演变趋势角度分析,2008年前后,该区域整体水质良好,营养化水平降低,其后水质状况呈恶化趋势.同时,什刹海水质变化具有显著空间变化特征,生态修复措施较为到位的后海和前海水质明显优于其上下游监测点,而这种空间变化特征主要源于什刹海及其上下游不同区段水体的相对独立性和各段水体受污染的差异性.     

艾比湖流域地表水水体悬浮物、总氮与总磷光谱诊断及空间分布特征

水体悬浮物(SS)、总氮(TN)和总磷(TP)是衡量水质的一个重要指标。选择新疆艾比湖流域为靶区,基于2015年10月实测光谱数据,采用微分法和反射率变换法以及偏最小二乘法估算水体中的SS、TN和TP的质量浓度。结果表明,(1)水体悬浮物的自然对数(ln SS)的显著性波段出现在350、410、520、570、655和940 nm处,基于偏最小二乘法的ln SS均方根一阶拟合效果最好,P0.01水平下拟合系数r~2=0.3562。此外,ln SS与总氮、总磷存在显著性正相关,相关系数分别为0.506和0.505(P0.01)。(2)水体TN的显著性波段出现在393~399 nm与674~678 nm范围内,水体TN的倒数一阶拟合效果最好,P0.01水平下拟合系数r2=0.438 9;(3)水体TP的显著性波段出现在333、349、862、882和905 nm处,水体TP的倒数一阶拟合最优,P0.01显著性水平下拟合系数r~2=0.634 8。从水体SS、TN和TP浓度的空间分布可知,水体SS、TN和TP含量高值点位于艾比湖的北岸,基于最优模型反演的SS、TN和TP的浓度整体偏高,且与原始数据的空间分布相差不明显。综上所述,利用光谱数据可以精准、快速的估算水体悬浮物、总氮和总磷,可为水质的评价提供科学依据,亦可为今后利用星载高光谱传感器对艾比湖流域水质参数进行大面积估算提供新思路。     

水动力条件对湖泊水体磷素质量浓度的影响

以环形水槽为研究手段，利用其可控的流速及可模拟的无限长，解决了前人未解决的湖泊水体水动力难以真实模拟的难题，模拟研究了不同流速对湖泊(太湖)水体中磷素质量浓度的影响。研究表明，随着水体流速的变化，湖泊水体中TP质量浓度的变化呈现3个阶段，即下降期、上升期和突增期。从物理化学和泥沙起动理论两方面，结合水流对悬浮物和沉积物的作用，分析了各阶段产生的原因。文章认为下降期的产生是因为在低流速下，一部分磷被悬浮物的絮凝沉淀带走所引起；上升期的产生则是因为流速上升扰动沉积物，使其达到少量动状态所引起；突增期的产生则是因为流速导致了沉积物普遍动而产生的。在研究范围内，溶解性磷质量浓度与水体流速有着明显的正相关关系；而在低流速下，溶解性磷是TP的主要组成成分，其质量浓度的相对比例可高达87％。结合太湖的有关研究，文章认为这是水华现象产生的关键原因。     

太湖浮游植物群落结构及其与水质指标间的关系

为了探讨太湖浮游植物群落结构时空分布特征、以及太湖浮游植物群落指标与水质指标间的关系,于2013年1月─2013年12月对太湖7个点位浮游植物群落结构和水质指标（水温、透明度、pH、溶解氧、电导率、总氮、总磷、氨氮、高锰酸盐指数、化学需氧量、氟化物、生化需氧量、硝酸盐氮、亚硝酸盐氮、溶解性磷酸盐和叶绿素a）进行月度调查,研究其浮游植物群落结构和湖泊水质的时空分布;并利用Pearson相关性分析浮游植物密度、浮游植物多样性与水质指标间的关系;找出影响太湖浮游植物群落结构的主要水质指标。结果表明：太湖7个点位共获得124种浮游植物物种,其中蓝藻门（Cyanophyta）30种、绿藻门（Bacillariophyta）47种、硅藻门（Chlorophyta）34种、隐藻门（Cryptophyta）3种、裸藻门（Euglenophyta）6种和甲藻门（Dinoflagellate）4种;其中蓝藻门的微囊藻属（Microcystis spp.）为绝对优势种群,优势度为80.8%;太湖浮游植物总密度与蓝藻门密度呈极显著正相关（r=1.000,P＜0.0001）;绿藻门和硅藻门占浮游植物总密度百分比分别和蓝藻门占浮游植物总密度百分比呈极显著负相关（r=-0.497,P＜0.0001;r=-0.814,P＜0.0001）。太湖7个点位水质首要污染物为总氮,其次是总磷和化学需氧量;西太湖污染物浓度最高。从空间上看,太湖浮游植物总密度最高值出现在贡湖湾（远离其入湖口处）,且贡湖湾浮游植物群落多样性相对低于太湖其他点位,同时贡湖湾微囊藻属密度百分比达90.1%,远高于太湖其他点位;从时间上看,太湖浮游植物总密度最高值出现在12月份、其次是6月份;通过浮游植物群落指标与水质指标相关性分析,水温、透明度、总氮、化学需氧量、叶绿素a是影响太湖浮游植物群落结构的主要水质指标。控制太湖入湖口水质污染物浓度排放和修?     

夏季渭河西安段溶解性有机质(DOM)的特征、分布及来源分析

通过紫外吸收光谱,三维荧光光谱结合平行因子分析(EEMs-PARAFAC)方法及主成分分析(PCA),研究了夏季渭河西安段水体中的溶解性有机质(DOM)的组成、来源,及其与水质指标的相关性.在研究区域共检出2种类别5个不同的DOM组分,分别为类腐殖质荧光组分C1、C2、C3、C5和1个类蛋白类荧光组分C4,5个组分具有同源性.对比分析光谱斜率S、SUVA₂₅₄、α355和DOC浓度,上游(S1—S5)和下游(S13—S17)各组分分子量和腐殖化程度接近但来源有所差异,中游(S6—S12、S18—S19)分子量和腐殖化程度最低;研究区域DOM和CDOM浓度值变化基本保持一致.通过三维光谱参数和主成分分析进行DOM源解析,内源贡献率为72.36%,外源贡献率为12.45%,累计方差贡献率为84.81%;污废水排放是组分C1、C4的主要来源,C2、C3、C5则来源于城市景观水体和湿地公园中微生物和浮游动植物的活动产生,TN与外源具有较好的相关性而TP与内源相关性较高.水质指标DO、DOC、COD、TN、TP与DOM组分有较强的相关性.在此基础上建立了多元线性回归方程,一定程度上能够利用荧光组分组成和特征反映渭河夏季的水质状况.     

望虞河西岸河流氮磷污染状况及其对调水水质的影响

为探讨望虞河西岸河流氮磷污染状况及其对调水引流入太湖水质的影响,分别于2017年11月以及2018年3和6月,选取望虞河西岸紧临入湖口的4条代表性河流,测定水体各形态氮、磷浓度,对各形态氮、磷时空分布规律及其对调水水质的影响进行研究。结果表明:(1)伯渎港、徐塘桥河、古市桥河和张塘河ρ(TN)平均值分别为4.93、5.20、2.27和3.78 mg·L~(-1),ρ(TP)平均值分别为0.18、0.23、0.16和0.15 mg·L~(-1),NO_3~--N和PO_4~(3-)-P分别为氮、磷的主要形态;(2)夏季伯渎港、徐塘桥河和古市桥河TN平均浓度最高,分别为各自最低季节的1.24、1.44和2.01倍;4条河流氮、磷浓度沿汇入望虞河方向呈下降趋势,但入河断面水质未达到区域水功能区划制定的Ⅲ类水质目标;(3)研究区91.3%的水体断面处于中度富营养化水平,56.5%的水体断面为磷限制状态;(4)电导率、COD_(Mn)和ρ(Chl-a)为各形态氮、磷分布的主要影响因素。研究区河流营养盐的汇入对望虞河入湖口水质有较大影响,尤其是磷素污染,需加强水体溶解性磷浓度的削减控制。夏季研究区氮素污染最为严重,且夏季为望虞河引水期,应加强该时段入河支流水体污染控制,保障调水水质。     

高原深水湖泊程海氮磷形态分布特征及其与叶绿素a的相关性

湖泊水体氮、磷形态分布特征及其与藻类生长的关系是湖泊富营养化研究的重要方面。采用GPS定位,在程海湖设置了3个断面9个采样点,研究了氮、磷形态分布特征,并分析了各形态氮磷与叶绿素a的相关性。结果表明：总氮（TN）质量浓度为0.773 mg.L-1,总磷（TP）质量浓度为0.046 mg.L-1,叶绿素a质量浓度为0.024 mg.L-1。氮素的赋存形态特征是以溶解态总氮（DTN）占大部分,DTN中又以溶解态有机氮（DON）占绝大部分;磷素的存在特点是溶解态无机磷（DIP）含量比重较大。各形态氮、磷都有明显的季节性波动但区域性差异不明显,叶绿素a则有明显的季节节律和时空差异。叶绿素a很好地响应了总氮（TN）、总磷（TP）、溶解态总氮（DTN）、溶解态总磷（DTP）、颗粒态总氮（PTN）、颗粒态总磷（PTP）的变化。程海富营养化受氮和磷共同限制,控制富营养化必须同时削减氮和磷。     

Water quality of Lugu Lake: Changes,causes and measurements

Lugu lake is an alpine lake in Yunnan Province in western China. It is famous for its beautiful scenery and the special culture of Mosuo people in this area. The lake is becoming contaminated and eutrophicated because of the huge number of visitors and improvements in agriculture during the last decade. This paper uses the water quality index (WQI) as an indicator to describe trends in contamination of Lugu Lake from 1995 to 2004 and analyses several parameters to determine the causes and consequences of contamination. We found that the dominant cause was pollution from tourism and suggest some feasible measures to prevent further deterioration of the lake water quality.     

Study of environmental isotope distribution in the Aswan High Dam Lake (Egypt) for estimation of evaporation of lake water and its recharge to adjacent groundwater

Oxygen-18 (¹⁸0) and deuterium isotopes were used to estimate the evaporation from the Aswan High Dam Lake and to investigate the inter-relation between the lake water and adjacent groundwater.According to stable isotopic analysis of samples taken in 1988 and 1989, the lake can be divided into two sections. In the first section extending between Abu Simbel and a point between EI-Alaki and Krosko, a remarkable vertical gradient of ¹⁸0 and deuterium isotopic composition was observed. The second northern sector extending to the High Dam is characterised by a lower vertical isotopic gradient. In this sector in general, higher values of ¹⁸O and deuterium contents were found at the top and lower values at the bottom. Also a strong horizontal increase of the heavy isotope content was observed. Thus, in the northern section evaporation is of dominating influence on the isotopic composition of the lake water.With the help of an evaporation pan experiment it was possible to calibrate the evaporative isotope enrichment in the lake and to facilitate a preliminary estimate of evaporative losses of lake water. The evaporation from the lake was estimated to be about 19% of the input water flow rate.The groundwater around the lake was investigated and samples from production wells and piezometers were subjected to isotopic analysis. The results indicate that recent recharge to the groundwater aquifer is limited to wells near to the lake and up to a maximum distance of about 10 km. The contribution of recent Nile water to the groundwater in these wells was estimated to range between 23 and 70%. Beyond this distance, palaeowater was observed with highly depleted deuterium and ¹⁸0 contents, which was also confirmed by 14c dating. The age of palaeo groundwater in this area can reach values of more than 26,000 years.Recommendations are given for efficient water management of the lake water.     

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.     

A hydrodynamic and water quality modeling study of spatial and temporal patterns of phytoplankton growth in a stratified lake with buoyant incoming flow

A three-dimensional hydrodynamic and water quality model was applied to Lake Paldang, a lake in South Korea that is stratified by incoming flows. The spatial and temporal patterns of phytoplankton growth in this lake were determined from the model. The model was calibrated and verified using data measured under different hydrological conditions. The model results were in reasonable agreement with the field measurements, in both the calibration and verification phases. The distributions of water quality and residence time in the lake and phytoplankton response to changes in nutrient loads were examined with the model, and the influence of the hydrodynamics on phytoplankton response was analyzed. The simulation results indicated that Lake Paldang is an essentially phosphorus-limited system, but that phytoplankton growth is limited by low water temperature and short residence time during the winter and the summer monsoon period, respectively. The results of sensitivity analyses also suggested that the hydrodynamics within the lake may have an indirect influence on phytoplankton responses to changes in the limiting nutrient loads, and that reducing phosphorus loading from Kyoungan Stream should be a high priority policy for controlling algal blooms during the pre- and post-monsoon periods. From this study, it was concluded that the three-dimensional water quality model incorporating hydrodynamic processes could successfully simulate phytoplankton response to changes in nutrient loads and that it could become a useful tool for identifying the essential factors determining phytoplankton growth and for developing the best management policy for algal blooms in Lake Paldang.     

Control concept and countermeasures for shallow lakes’ eutrophication in China

Research on lake eutrophication in China began in the early 1970s, and many lakes in China are now known to be in meso-eutrophic status. Lake eutrophication has been showing a rapidly increasing trend since 2000. Investigations show that the main reasons for lake eutrophication include a fragile lake background environment, excessive nutrient loading into lakes, excessive human activities, ecological degeneration, weak environmental protection awareness, and lax lake management. Major mechanisms resulting from lake eutrophication include nutrient recycling imbalance, major changes in water chemistry (pH, oxygen, and carbon), lake ecosystem imbalance, and algal prevalence in lakes. Some concepts for controlling eutrophication should be persistently proposed, including lake catchment control, combination of pollutant source control with ecological restoration, protection of three important aspects (terrestrial ecology, lake coast zone, and submerged plant), and combination of lake management with regulation. Measures to control lake eutrophication should include pollution source control (i.e., optimize industrial structural adjustments in the lake catchment, reduce nitrogen and phosphorus emission amounts, and control endogenous pollution) and lake ecological restoration (i.e. establish a zone-lake buffer region and lakeside zone, protect regional vegetation, utilize hydrophytes in renovation technology); countermeasures for lake management should include implementing water quality management, identifying environmental and lake water goals, legislating and formulating laws and regulations to protect lakes, strengthening publicity and the education of people, increasing public awareness through participation in systems and mechanic innovations, establishing lake region management institutions, and ensuring implementation of governance and management measures.     

稀脉萍（Lemna paucicostata）对水质的综合评价和指示作用

为探讨利用我国本土植物进行水质综合评价和指示的可行性,试验研究了我国特有的浮萍属植物——稀脉萍(Lemna paucicostata)对不同来源水(自来水、雨水为唯一来源的池塘水、接纳多种排放废水的湖水及垃圾填埋场渗滤液)水质的综合评价和指示效果.结果表明,1)就不同来源水而言,随着水质的下降(自来水、池塘水、湖水、渗滤液),稀脉萍叶状体和群体7d相对增殖率(相对于对照)均逐渐降低;2)就某一污水而言,随着水质的下降(渗滤液稀释4096～128倍),稀脉萍叶状体7d相对增殖率逐渐降低,而群体相对增殖率没有明显变化规律.以上结果提示,稀脉萍对水质具有一定的评价和指示作用,其叶状体相对增殖率可应用于水质的生物学监测和综合评价.     

Water quality assessment of Fort lake of Belgaum (Karnataka) with special reference to zooplankton

Study on limnobiotic status of the Fort lake water was made to assess the potability of water from Feb 1998 to Jan 1999. Fort lake exhibits high alkalinity with pH ranging from 8.36 (June) to 10.6 (Feb and March), total alkalinity (TA) from 88 to 188 mg/l, total hardness (TH) from 59.8-217 mg/l, PO4 (7.2 to 13.6 mg/l and BOD (42.6-60.6 mg/l). From the observations it can be known that the Fort lake water is inferior and not suitable for drinking purposes. The possible factors for its poor quality have been discussed.