巢湖西半湖富营养化时空变化趋势与成因分析

收集整理了巢湖西半湖6个国控监测点1983~2008年（26年）主要富营养化指标TP、TN、CODmn、Chla的监测数据,计算了6个监测点和西半湖总体26年的综合营养状态指数（∑TLI图示）时空变化情况。并用Spearm an秩相关系数分析检验了西半湖总体和6个监测点26年∑TLI年变化趋势。结果表明：按总平均∑TLI排列,6个监测点富营养化由重到轻依次为：南淝河入湖区（66.64）〉塘西（64.93）〉十五里河入湖区（63.35）〉派河入湖区（61.38）〉新河入湖区（59.51）〉西半湖湖心（59.18）;在显著水平0.05和0.01各点∑TLI均有上升趋势,其中十五里河入湖区（R=0.715）、新河入湖区（R=0.824）和西半湖湖心（R=0.811）以及西半湖总体（R=0.512）∑TLI有显著上升趋势,而南淝河入湖区（R=0.192）、塘西（R=0.045）和派河入湖区（R=0.325）上升趋势均不显著。最后在上述研究的基础上,对巢湖西半湖富营养化时空变化的成因进行了简要分析。     

南淝河叶绿素a时空分布特征及环境因子影响分析

2009年8月至2012年4月,采样测试了南淝河上游8个位点的水质状况等,分析了南淝河叶绿素a(Chl.a)的时空分布特点及其与环境因子的关系。结果表明,南淝河研究河段Chl.a平均值为83.46μg/L,已处于严重富营养化状态。南淝河Chl.a浓度与总磷(TP)、化学需氧量(COD)、酸碱度(pH)、总固体悬浮物(TSS)、水温(WT)显著性正相关(P0.05),与透明度(SD)、氨氮/总磷比值(4NH+–N/TP)、水深(WD)、降雨(Rain)及风速(Wind)显著性负相关(P0.05)。逐步回归分析表明,影响南淝河上游河段Chl.a浓度的主导环境因子依次为水温、风速、降雨、总磷和氨氮。对南淝河与其他富营养化水体Chl.a的主要影响因子进行比较,结果表明水温是影响Chl.a的最重要因子,氮磷比、营养盐、降雨、风速、生物因子均对富营养化水体Chl.a有影响。     

南淝河叶绿素 a 时空分布特征及环境因子影响分析简

2009年8月至2012年4月,采样测试了南淝河上游8个位点的水质状况等,分析了南淝河叶绿素a(Chl.a)的时空分布特点及其与环境因子的关系。结果表明,南淝河研究河段Chl.a平均值为83.46μg/L,已处于严重富营养化状态。南淝河Chl.a浓度与总磷(TP)、化学需氧量(COD)、酸碱度(pH)、总固体悬浮物(TSS)、水温(WT)显著性正相关(P0.05),与透明度(SD)、氨氮/总磷比值(4NH+–N/TP)、水深(WD)、降雨(Rain)及风速(Wind)显著性负相关(P0.05)。逐步回归分析表明,影响南淝河上游河段Chl.a浓度的主导环境因子依次为水温、风速、降雨、总磷和氨氮。对南淝河与其他富营养化水体Chl.a的主要影响因子进行比较,结果表明水温是影响Chl.a的最重要因子,氮磷比、营养盐、降雨、风速、生物因子均对富营养化水体Chl.a有影响。     

评价湖泊富营养化的一个综合模型

湖泊富营养化的评价 ,即确定水体的状态属性 ,实际上是一个将定性问题定量化的多变量的综合决策过程 ,因此 ,对湖泊的富营养化程度进行评价应以综合评价为主 .在综述国内外若干综合评价方法的基础上 ,指出营养状态指数 (TSI)法应可作为湖泊富营养化评价的主要方法 ,因其可对湖泊的营养状态进行连续的数值化分级 ,从而为富营养化机理的定量研究提供坚实基础 .采用层次分析 (AHP)法确定综合评价指标中的权重分配 ,构建一综合评价模型 :TSI =W (Chla)×TSI(Chla) +W (Sd)×TSI(Sd) +W (TP)×TSI(TP)或TSIM=W (Chla)×TSIM(Chla) +W (Sd)×TSIM(Sd) +W (TP)×TSIM(TP) .此外 ,文中简要讨论了综合评价与其他统计方法如聚类分析的关系 .     

广东省水质现状及驱动因素

水质现状评估及其驱动因素分析是实现水生态保护、水资源利用和水污染治理的关键,对于水生态系统的可持续发展具有重要意义。以广东省七大流域为研究区,基于2019-2020年间的溶解氧（DO）、透明度（SDD）、悬浮物（SPM）、叶绿素a （Chla）、氨氮（NH₃N）、总氮（TN）、总磷（TP）7个指标的水质监测数据,综合运用单因子指数法（SI）和综合水质指数（WQI）评价方法,分丰水期（N=66）和枯水期（N=54）评估研究区的水质现状,并探讨水质参数与地形、气象、社会经济和土地覆被类型等驱动因素之间的相关关系。SI评估结果显示广东七大流域主要以工业污水、农业面源等造成的Chla和TN浓度超标、部分水体富营养化严重为主,同时伴有溶解氧浓度偏低的问题;WQI评估结果显示研究区有57%以上的采样点属于中等以下水质。Chla、SPM、NH₃N和TP浓度具有显著的季节和驱动因素差异：丰水期的Chla和TP浓度低于枯水期,但SPM和NH₃N浓度高于枯水期。枯水期DO、TN和WQI的显著性影响因子为丰水期的1/3左右;这种季节差异可能是流域内降雨、营养盐负荷和土地覆被类型导致的复杂地表径流及面源污染所致。珠江三角洲河网区、粤西诸河、韩江下游以及粤东诸河练江流域的水质问题突出。未来水生态系统的可持续发展研究可以借助长时间序列、多频次、高分辨率的遥感监测手段和多种数值模拟方法以及常规水质评估模型,探讨气候变化、河岸带产业结构和流域土地利用方式对面源污染的影响,以进一步厘清降雨强度、三产结构和土地利用方式转变对区域水质变化的影响。     

微囊藻胞内毒素的提取方法

随着全球淡水水体富营养化程度的不断加剧,蓝藻水华及其毒素污染问题已经逐渐威胁到人类饮用水的安全。微囊藻(Microcystis)为常见的水华蓝藻种类,其所产生的微囊藻毒素(Microcystins,MCs)不仅会严重危害水生态系统,并且可能会给人类健康带来威胁1,2。我国云南滇池、江苏太湖和安徽巢湖等淡水湖泊均发生不同程度的蓝藻水华,并检测到了高含量MCs的存在3,4。       

微囊藻气囊尺寸与gvpA/gvpC基因的关系

我国是世界上湖泊富营养化最严重的国家之一。太湖、巢湖、滇池等大型浅水湖泊由于富营养化导致蓝藻水华连年爆发, 水质日趋恶化,丧失了原有的功能, 制约着地区经济发展。水华一般是指藻类过量繁殖形成的水体表面聚集物1。在我国, 微囊藻(Microcystis)和某些蓝藻是造成水华的最为常见的种类2。蓝藻水华可产生异味物质、腐烂发臭, 还可产生毒素危害人类健康。       

用高效液相色谱法检测天然水体中的微囊藻毒素

由于大量氮、磷等物质释放到水体中,导致水体富营养化加剧,水华的发生已成为全球性环境问题。在长江、黄河、松花江等主要河流和太湖、滇池、巢湖等每年都有水华发生。因此建立快速、灵敏、可靠、简便可行的蓝藻毒素检测方法以对毒素进行早期检测和预报是保护水生生态系统和人类健康的关键措施之一。     

巢湖流域生态安全评价研究

目前,巢湖流域的生态安全问题非常突出,已严重影响流域社会经济的可持续发展。基于巢湖流域社会经济、水体环境质量及水生生态系统的数据资料,应用驱动力-压力-状态-影响-响应(DPSIR)模型,提出了基于水环境和水生态的巢湖流域生态安全评价框架模型和指标体系,并采用熵权物元模糊评价法进行巢湖流域生态安全评价研究。研究结果表明,2003和2007年巢湖流域整体处于生态安全中度风险状态,水体环境质量的变化和水生生态系统的演替将严重威胁巢湖流域的生态安全,水体中的TP浓度、NH-N浓度以及TN浓度是决定巢湖流域生态安全的最关键因子。     

一类具有脉冲投放鱼类的淡水生态系统模型

将氮、藻类和鱼类分别作为淡水生态系统的营养物质、生产者和消费者的代表,考虑投放鱼类以控制水华发生的管理措施,建立了一类具有脉冲投放的淡水生态系统模型.利用Floquet理论等研究了边界周期解的存在性和稳定性,最后给出了相关生物意义.     

A Catastrophe Model for Water Bloom Prediction: A Case Study of China's Lake Chaohu

Using a case study of Lake Chaohu, the fifth largest lake in China, we constructed a cusp model for water bloom prediction that used TP (total phosphorus), T (temperature), Chla (chlorophyll-a), and DO (dissolved oxygen). These four parameters were assumed to be the most important factors in eutrophication and water bloom of the lake. The model was found to be accurate, because its relative error was around 10%. What is more convincing, according to the catastrophe discriminant of the cusp model, it could be judged that a discontinuous jump of the aquatic ecosystem occurred in July 2004, in Lake Chaohu. This conclusion is consistent with the fact that water blooms arose in August 2004. The cusp model also showed satisfactory precision when applied to forecast the eutrophication trend and prediction of water bloom in Lake Chaohu in 2005. The case study found that water bloom brought on by eutrophication can be fit and predicted by a catastrophe model. We suggest that catastrophe models would be a constructive approach to forecast and judge the outbreak of water bloom in lakes. In addition, by constructing and studying such catastrophe models, lake managers would be able to simulate the effects of different protection and mitigation projects and enrich the scientific basis for the optimization of these projects as well.     

Current status and future tendency of lake eutrophication in China

Current trophic status and trend of Chinese freshwater lakes were investigated in this study. The results showed that all lakes studied were commonly undergoing the eutrophication process, water quality decreased and lake’s ecosystem is being declined. Most of the urban lakes are facing serious eutrophication. Many medium-sized lakes are in metrophic or eutrophic status, some local water are even approaching the hypertrophic level. The famous five freshwater lakes in China have entered into eutrophication in the condition of higher nutrient load. Lake Taihu, Hongze and Caohu are already in eutrophic state. Eutrophic lakes are mainly distributed in the middle and lower reaches of Yangtze River and Yungui plateau. Lake eutrophication developed rapidly. Among the 34 lakes studied in 1970’s, most of lakes were in the mesotrophic status, mesotrophic water area accounted for 91.8%. With the nine year of 1978–1987 the area percentage of oligotrophic lakes decreased from 3.2% to 0.53%, and that of eutrophic lakes increased from 5.0% to 55.01%. Recent data showed 57.5% lakes were in eutrophic and hypertrophic status of the 40 surveyed lakes.

Eutrophic trend of Lake Taihu, Chaohu and Xuanwu in the region of the middle and lower reaches of Yangtze River was predicated using the ecological stress model. The results showed that in 2008 Lake Taihu, Chaohu and Xuanwu might be of eutrophication, eutrophication and hypertrophication, respectively if no control measurement is taken. Provided the pollution water treatment rate is 60% in 2030, approximately 30 billion ton pollution water would still be discharged directly in the lakes. Therefore, in 2030 the urban lakes in China might be eutrophication or hypertrophication, and most of the medium-sized lakes at the urban-rural fringe might be in eutrophication or hypertrophication. The famous five biggest freshwater lakes in China might be eutrophication if control countermeasures are taken as now.

Lake eutrophication has become a serious environmental problem in China. Based on the domestic and foreign experiences of the eutrophic control technologies, both nutrient pollution control and lake ecological restoration should be carried out and this may be the guidance for the eutrophic control of lakes in China.

     

Current status and future tendency of lake eutrophication in China

Current trophic status and trend of Chinese freshwater lakes were investigated in this study. The results showed that all lakes studied were commonly undergoing the eutrophication process, water quality decreased and lake's ecosystem is being declined. Most of the urban lakes are facing serious eutrophication. Many medium-sized lakes are in metrophic or eutrophic status, some local water are even approaching the hypertrophic level. The famous five freshwater lakes in China have entered into eutrophication in the condition of higher nutrient load. Lake Taihu, Hongze and Caohu are already in eutrophic state. Eutrophic lakes are mainly distributed in the middle and lower reaches of Yangtze River and Yungui plateau. Lake eutrophication developed rapidly. Among the 34 lakes studied in 1970's, most of lakes were in the mesotrophic status,mesotrophic water area accounted for 91.8%. With the nine year of 1978-1987 the area percentage of oligotrophic lakes decreased from 3.2% to 0.53%, and that of eutrophic lakes increased from 5.0% to 55.01%. Recent data showed 57.5% lakes were in eutrophic and hypertrophic status of the 40 surveyed lakes.Eutrophic trend of Lake Taihu, Chaohu and Xuanwu in the region of the middle and lower reaches of Yangtze River was predicated using the ecological stress model. The results showed that in 2008 Lake Taihu, Chaohu and Xuanwu might be of eutrophication, eutrophication and hypertrophication, respectively if no control measurement is taken. Provided the pollution water treatment rate is 60% in 2030, approximately 30 billion ton pollution water would still be discharged directly in the lakes. Therefore, in 2030 the urban lakes in China might be eutrophication or hypertrophication, and most of the medium-sized lakes at the urban-rural fringe might be in eutrophication or hypertrophication. The famous five biggest freshwater lakes in China might be eutrophication if control countermeasures are taken as now.Lake eutrophication has become a serious environmental problem in China. Based on the domestic and foreign experiences of the eutrophic control technologies, both nutrient pollution control and lake ecological restoration should be carried out and this may be the guidance for the eutrophic control of lakes in China.     

Current status and future tendency of lake eutrophication in China

Current trophic status and trend of Chinese freshwater lakes were investigated in this study. The results showed that all lakes studied were commonly undergoing the eutrophica-tion process, water quality decreased and lake's ecosystem is being declined. Most of the urban lakes are facing serious eutrophication. Many medium-sized lakes are in metrophic or eutrophic status, some local water are even approaching the hypertrophic level. The famous five freshwater lakes in China have entered into eutrophication in the condition of higher nutrient load. Lake Taihu, Hongze and Caohu are already in eutrophic state. Eutrophic lakes are mainly distributed in the middle and lower reaches of Yangtze River and Yungui plateau. Lake eutrophication developed rapidly. Among the 34 lakes studied in 1970's, most of lakes were in the mesotrophic status, mesotrophic water area accounted for 91.8%. With the nine year of 1978-1987 the area percentage of oligotrophic lakes decreased from 3.2% to 0.53%, and that of eutrophic lakes increased from 5.0% to 55.01%. Recent data showed 57.5% lakes were in eutrophic and hyper trophic status of the 40 surveyed lakes. Eutrophic trend of Lake Taihu, Chaohu and Xuanwu in the region of the middle and lower reaches of Yangtze River was predicated using the ecological stress model. The results showed that in 2008 Lake Taihu, Chaohu and Xuanwu might be of eutrophication, eutrophication and hypertrophication, respectively if no control measurement is taken. Provided the pollution water treatment rate is 60% in 2030, approximately 30 billion ton pollution water would still be discharged directly in the lakes. Therefore, in 2030 the urban lakes in China might be eutrophication or hypertrophication, and most of the medium-sized lakes at the urban-rural fringe might be in eutrophication or hypertrophication. The famous five biggest freshwater lakes in China might be eutrophication if control countermeasures are taken as now. Lake eutrophication has become a serious environmental problem in China. Based on the domestic and foreign experiences of the eutrophic control technologies, both nutrient pollution control and lake ecological restoration should be carried out and this may be the guidance for the eutrophic control of lakes in China.     

滇池外海蓝藻水华爆发反演及规律探讨

气象条件和营养盐浓度一直被认为是导致蓝藻水华爆发的两个重要因素。通过滇池外海Chla浓度时空分异性分析,得出晖湾中测点最易爆发蓝藻水华且爆发时间集中在每年6—9月。同时,采用基于缺失数据多重插补的EMB算法将气象条件和蓝藻水华爆发的不完全数据集进行反演,建立了滇池外海2004—2008年4—10月完整的气象、营养盐及蓝藻爆发的基础数据集,解决了表观蓝藻水华爆发研究中观测数据缺失的问题。据此,探讨了滇池外海晖湾中测点Chla、TN和TP与蓝藻水华爆发关系,进而提出了控制滇池外海蓝藻水华的一种新思路。     

巢湖崩岸湖滨基质-水文-生物一体化修复

湖滨带生态修复不是简单的水生植物移种,还必须提供其适于生存的基质、水文等外部物理条件。基质作为水生植被的载体,既需要适宜的柔度,也要求一定的刚度。在巢湖崩岸湖滨综合调查的基础上,系统分析了崩岸湖滨带生态退化的成因,研发了基质、水文、生物一体化修复技术,解决了水生植物在恢复生长时期受基质流失和水力切割影响的问题,为水生植物营造了适宜的水生环境。通过西北岸万年埠湖滨的示范工程建设,取得了良好的治理效果,为巢湖崩岸湖滨的生态修复提供一种生态型的、可工程化实施的技术方法。     

湖南省大通湖百余年环境演化历史及营养物基准的建立

科学有效地治理退化湖泊需要知晓湖泊的演化历史,并设立合理的参照目标(即环境基准)来及时评判治理效果.湖南省大通湖位于经济发达的长江中下游地区,发挥着重要的湖泊水生态系统服务功能.在强烈的人类活动干扰下,该湖近年来生态系统退化严重,但其水环境演变的历史缺少详细的记录.研究对大通湖沉积钻孔的年代、烧失量、化学元素、沉积物总...     

湖泊生态系统动力学模型研究进展

从系统分析在湖泊生态系统动力学研究中的作用出发,对湖泊生态系统的动力学建模过程、方法和软件等进行了总结.在此基础上,综述了国内外湖泊生态系统动力学模型的发展.从1960年代至今,湖泊生态系统动力学模型从简单的零维模型发展到复杂的水质水动力学生态综合模型和生态结构动力学模型,如LakeWeb模型.中国的湖泊生态系统动力学模型研究始于20世纪80年代,主要集中在滇池、太湖、东湖和巢湖等富营养化严重的湖泊以及其他水体.目前,已经开发一些软件用于湖泊生态系统动力学模拟,主要有CEQUALICM、WASP、AQUATOX、PAMOLARE、CAEDYM等,以及用来模拟湖泊能流的软件ECOPATH.湖泊生态系统动力学模型还在监测、数据共享和模型结构、参数选取和不确定性分析等方面存在不足,需在今后的研究中加以改进.     

长江中下游四大淡水湖生态系统完整性评价

长江中下游地区是我国淡水湖泊集中分布区域,研究该区域湖泊生态系统完整性对于湖泊生态系统保护和恢复具有重要意义。物理、化学和生物完整性指标已经广泛应用于河湖生态系统健康评价,但是缺少物理、化学和生物完整性的综合评价方法。以历史调查状况为主要参照系统,构建了基于物理、化学和生物完整性的多参数湖泊完整性综合评价指标体系,结合近年来长江中下游四大淡水湖(洞庭湖、鄱阳湖、巢湖、太湖)生态系统调查数据,对四大淡水湖生态系统完整性进行了评价。结果表明,洞庭湖、鄱阳湖、巢湖和太湖的综合得分分别为66、71、57和57。根据评价等级划分标准,洞庭湖和鄱阳湖生态系统完整性状况都达到"好"的等级,而巢湖和太湖则处于"一般"等级;结果显示,该指标能够表征人类活动对于湖泊生态系统完整性不同方面的干扰,且能够反映四大淡水湖生态系统完整性历史变化状况。因此,该方法可以作为长江中下游淡水湖泊生态系统完整性综合评价的工具并能够为湖泊生态系统的保护和恢复提供科学支撑。