巢湖蓝藻的机械清除工艺以及藻水分离实验研究

对巢湖蓝藻进行机械清除以及藻水分离实验研究,实验采用的浮式围栏引导一机械清除．投加剥离液辅助机械清除工艺处理量大,除藻效率高,筛网过滤-浓缩-卧螺离心机脱水成藻泥的藻水分离工艺较为理想,藻泥含水率仅为89％。2011年5-10月在巢湖运用上述方法清除湖面水华蓝藻,共处理富藻水1．6万m3,得到藻泥970t,累计清除蓝藻106．7t（干重）。按照所清除蓝藻的总氮、总磷的平均含量计算,相当于从湖中移除了氮6．25t,磷2．1t。表明在富营养湖泊中水华蓝藻大量暴发时,采用上述方法除藻,对控制蓝藻水华污染,有效降低内源氮、磷等污染物负荷具有十分重要的作用。     

基于RS与GIS的武汉城市湖泊演化研究

以武汉市主城区为例,利用1995和2005年Landsat5两期TM影像与2000和2010年Landset7两期ETM＋影像的解译结果,基于景观分形理论与GIS的空间分析功能相结合的研究方法,分别构建湖泊变化强度指数和湖泊分形维数变化指数。从湖泊面积变化和湖泊形态变化,以及湖泊水域和其他土地利用类型的转移变化特点与影响进行综合分析。来丰富湖泊演化的分析方法,并总结高速城市化背景下湖泊的变化规律,从而更深入地了解和认识人类活动因素与湖泊水域动态变化之间的响应关系,同时提出若干城市湖泊治理与管理的方式。研究结果表明,（1）15年间的湖泊水域面积总量的变化呈现萎缩的趋势,年变化量在逐渐减小,湖泊萎缩的速度得到了一定的控制。（2）1995-2010年湖泊分形维数也呈逐期较小趋势,说明湖泊几何形状趋于简单化,人为活动对湖泊的影响加大。（3）15年来主城区28个主要湖泊的变化强度指数均为负值,呈萎缩趋势。但从2000年开始,少数湖泊变化强度指数为正值,萎缩趋势得到初步的控制。（4）1995-2010年间湖泊的水域面积主要转移成为建设用地和耕地。其转移面积占转移总面积的87．02％。围湖造田和城市化率的迅速提高对城市湖泊的演化影响深刻。（5）城市化背景下湖泊面积与形态变化的规律并非完全与城市化发展速率呈正比的关系,当城市化率上升到一定的阶段后,城市内部对生态环境的保护与要求也不断提高。为改善城市环境和城市内部的生态用地,湖泊应得到立法等强制性保护。     

Temporal change of water quality of the typical rural domestic sewage in Chaohu Lake basin

为揭示巢湖流域典型村庄生活污水水质特征,本文采用定点定期采样法,对巢湖流域两类典型村庄生活污水水质进行了2年测定研究.结果显示,不同月份两村生活污水的COD、NH4＋-N、TN、TP等指标呈现出相同的变化趋势,各指标浓度在6—8月较低,而COD和TN浓度在12—2月较高;两村的生活污水COD、NH4＋-N、TN、TP全年变化范围为46.77—424.80 mg.L-1、4.30—17.40 mg.L-1、9.36—34.38 mg.L-1、0.27—3.06 mg.L-1;大汤村和电厂新村两村生活污水全年COD、NH4＋-N、TN、TP平均值分别为171.98 mg.L-1和219.60 mg.L-1、8.07 mg.L-1和11.52 mg.L-1、17.80 mg.L-1和21.33 mg.L-1、1.15 mg.L-1和1.53 mg.L-1.     

滇池流域土地利用景观空间格局对水质的影响

选用综合水质评价方法,对滇池流域进行水质评价。选取斑块数量（NP）、斑块密度（PD）、最大斑块指数（LPI）、最大形状指数（LSI）,作为表征景观空间格局的参数,来分析流域优势斑块对水质的影响。对水质评价结果与景观指数进行相关性分析得出：居民点及工矿用地斑块数量越多、形状越不规则,有利于延缓水质状况的恶化;耕地斑块越大,越集中,本身产生的面源污染浓度就越高,而流经耕地的径流中的污染物浓度则会因大斑块的吸附过滤作用而降低;林地斑块密度越大,对污染物的截留纳污作用就越大,而斑块越大,可能产生局限性,导致未流经林地的污染物直接进入河流而影响水质。     

柴窝堡湖营养状态和限制因子分析及富营养化防治对策

应用柴窝堡湖2005—2009年的监测数据,对其水质进行评价,并用综合营养状态指数法分析了湖库总体富营养化水平,利用水质N／P比值和叶绿素a的相关分析,探讨了湖库富营养化的限制因子,并对改善水质提出了几点建议。     

太湖和巢湖夏季蓝藻水华期间产毒微囊藻和非产毒微囊藻种群丰度的空间分布

应用荧光定量PCR技术对蓝藻水华暴发期间太湖和巢湖水体中产毒微囊藻和总微囊藻种群丰度的空间分布进行了研究.分别以微囊藻毒素合成基因基因家族成员mcyD和小核糖体16S rDNA序列构建定量PCR标准曲线,研究产毒微囊藻和总微囊藻种群丰度.结果表明:太湖和巢湖微囊藻种群由产毒微囊藻和非产毒微囊藻组成;蓝藻水华暴发期间,微囊藻种群组成及其丰度分布具有明显的空间差异性:太湖产毒微囊藻种群丰度为9.89×104～4.51×106 copies mL-1,产毒微囊藻占总微囊藻种群的比例为20.5%～38.1%;巢湖产毒微囊藻种群丰度为4.12×104～5.44×106 copies mL-1,其占总微囊藻种群的比例为8.4%～96.6%.总的来说,富营养化严重的湖区总微囊藻和产毒微囊藻种群丰度较高,产毒微囊藻占总微囊藻种群的比例也较高.图7表3参29     

Optimizing model for land use/land cover retrieval from remote sensing imagery based on variable precision rough sets

The suitable spectral mode in remote sensing is often desirable to facilitate the inversion of ecological environment and landscape. This paper put forward an optimizing model based on variable precision rough sets (VPRS) for the land cover discrimination in wetland inventory. In the case study of Lake Baiyangdian which has important ecological functions to the northern China, this model is established successfully according to the domain-experts knowledge. The procedure is as follows. First step is data collection, including remote-sensing data (e.g., Landsat-5 TM bands), the digitized relief maps, and statistical yearbooks. Second, the remote sensing imagery (RSI) and relief maps are co-registered into the same resolution. Third, a condition set, including various attributes is derived from spectral bands, band math or ratio indices based on previous studies, at the same time, the decision set is derived from true land types after investigation and validation. Then, the remote sensing decision table (RSDT) is constructed by linking condition set with decision set according to the sequential pixels in RSI. Fourth, we create one forward greedy searching algorithm based on VPRS to handle this RSDT. After adjusting parameters such as β and knowledge granularity diameter (KGD), we obtain the stable optimized results. Comparative experiments and evaluation show that the discrimination or retrieval accuracy of VPRS model is satisfying (overall accuracy: 87.32% and KHAT: 0.84) and better than original data. Moreover, data dimension has been decreased dramatically (from 12 to 3) and key attributes found by the model may be useful for specific retrieval in wetland inventories.     

博斯腾湖水质矿化度模型及预测研究

根据博斯腾湖１９８５～１９９５年水质监测数据和出入湖水量等水文数据观测值，采用水质扩散模型和盐量平衡关系推导出博斯腾湖大湖区（简称博湖）水质矿化度模型，并预测了几种情况下博湖水质矿化度及近几年变化趋势，分析了影响博湖水质矿化度的主要因素，为博湖的近期和远期环境保护规划、环境管理等提供科学依据．     

Distribution and bioaccumulation of steroidal and phenolic endocrine disrupting chemicals in wild fish species from Dianchi Lake, China

The distribution and bioaccumulation of steroidal and phenolic endocrine disrupting chemicals (EDCs) were studied in various tissues of wild fish species from Dianchi Lake, China. In muscle tissue, 4-tert-octylphenol, 4-cumylphenol, 4-nonlyphenol and bisphenol A were detected in fish from each sampling site, with maximal concentrations of 4.6, 4.4, 18.9 and 83.5 ng/g dry weight (dw), respectively. Steroids (estrone, 17β-estradiol 17α-ethynylestradiol and estriol) were found at lower levels (<11.3 ng/g dw) and less frequently in muscle samples. The highest concentrations of steroids and phenols were found in liver, followed by those in gill and the lowest concentration was found in muscle. The field bioconcentration factors (BCFs) of phenols were calculated in fish species ranged from 18 to 97. Moreover, the measured tissue concentrations were utilized in order to estimate water concentration of steroids (4.4-18.0 ng/L). These results showed that steroidal and phenolic EDCs were likely ubiquitous contaminants in wild fish.