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21.
The Piratininga Lagoon is a coastal, choked, and brackish ecosystem in SE Brazil, where uncontrolled discharge of domestic sewage led to eutrophication, increasing massive proliferation of benthic macroalgae, and decrease of the lagoon mean depth. In 1992, a dam was constructed by the local Municipality at its tidal channel aiming at stabilising its water level. Main physico-chemical parameters, together with macroalgae biomass, nutrient concentrations in the water column, particulate organic carbon, and chlorophyll a were recorded monthly at 4 sampling stations within the Piratininga lagoon from April 1994 to April 1995. The data, compared with “before-lock” existing studies, show that nutrients and chlorophyll a concentrations significantly increased after the lock construction. Based on the functioning of the ecosystem, we propose to harvest the algal mats before their decomposition period in order to partly remove the nutrient stocks from the lagoon and the future ecosystem modelling to predict the impact of natural and anthropogenic eutrophication. 相似文献
22.
In this paper, an integrated numerical and fuzzy cellular automata model was developed to predict possible algal blooms in Dutch coastal waters basing on the irradiance, nutrients and neighbourhood conditions. The numerical module used Delft3D-WAQ to compute the abiotic conditions, and fuzzy cellular automata approach was applied to predict the algal biomass that was indicated by chlorophyll a concentration. The simulated results of year 1995 were compared with that from BLOOM II model, and the advantages, disadvantages as well as future improvement were presented. In general, through this study, it is seen that the integrated modelling deserves more research inputs because: (1) the hydrodynamic processes and nutrients concentrations can be simulated in details by numerical method; (2) the irregular and sparse water quality and biological data, and the empirical knowledge from experts can be explored by the fuzzy logic technique; (3) the spatial heterogeneity, local interactions and the emerge of patchiness could be well captured through the cellular automata paradigm. 相似文献
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24.
藻源性黑水团环境效应:对水-沉积物界面氮磷变化的驱动作用 总被引:17,自引:4,他引:13
利用自制的静态模拟实验装置,通过连续抽取间隙水来研究藻细胞沉降在沉积物表面后对水-沉积物界面处的N、P变化的驱动作用及影响效果.结果表明,藻细胞沉降后,在50 min内就完全消耗掉水-沉积物界面处的溶解氧,同时水体出现严重的发黑、发臭现象;形成的厌氧、强还原环境,使得死亡的藻细胞在界面处发生强烈的厌氧矿化作用,界面处的水溶性PO34--P、NH 4+-N在实验的第2 d开始向上覆水中扩散,含量不断增加.至实验结束时(实验第8 d),界面处PO34--P、NH 4+-N的含量分别达到4.00 mg/L、39.45 mg/L,分别为同期对照实验样柱中的10倍和241倍(对照样柱中的PO43--P、NH 4+-N的含量分别为0.42 mg/L、0.16 mg/L).藻细胞的厌氧矿化加剧了氮磷营养盐向上覆水的扩散,在加重水体营养盐含量的同时,也为藻华的再次发生提供了物质基础. 相似文献
25.
26.
Abhiram S. P. Pamula Hamed Gholizadeh Mark J. Krzmarzick William E. Mausbach David J. Lampert 《Journal of the American Water Resources Association》2023,59(5):929-949
Harmful algal blooms (HABs) diminish the utility of reservoirs for drinking water supply, irrigation, recreation, and ecosystem service provision. HABs decrease water quality and are a significant health concern in surface water bodies. Near real-time monitoring of HABs in reservoirs and small water bodies is essential to understand the dynamics of turbidity and HAB formation. This study uses satellite imagery to remotely sense chlorophyll-a concentrations (chl-a), phycocyanin concentrations, and turbidity in two reservoirs, the Grand Lake O′ the Cherokees and Hudson Reservoir, OK, USA, to develop a tool for near real-time monitoring of HABs. Landsat-8 and Sentinel-2 imagery from 2013 to 2017 and from 2015 to 2020 were used to train and test three different models that include multiple regression, support vector regression (SVR), and random forest regression (RFR). Performance was assessed by comparing the three models to estimate chl-a, phycocyanin, and turbidity. The results showed that RFR achieved the best performance, with R2 values of 0.75, 0.82, and 0.79 for chl-a, turbidity, and phycocyanin, while multiple regression had R2 values of 0.29, 0.51, and 0.46 and SVR had R2 values of 0.58, 0.62, and 0.61 on the testing datasets, respectively. This paper examines the potential of the developed open-source satellite remote sensing tool for monitoring reservoirs in Oklahoma to assess spatial and temporal variations in surface water quality. 相似文献
27.
通过对比研究典型有害微藻海洋原甲藻(Prorocentrum micans Ehrenberg)自然消亡(A1组)及改性黏土絮凝(A2组)两种体系,考察两体系中氮、磷等主要水质因子的变化情况.结果表明,改性黏土能有效去除P. micans并影响其后期生长状态,0.4g/L改性黏土添加3.5h后去除率可达60%以上,且藻密度无二次增长.改性黏土絮凝藻华过程中能有效去除水体营养元素, A2组DIP和DIN较A1组分别降低85%和35%.另外,添加改性黏土对水体有机氮、磷影响值得关注,第33d A2组TON和TOP较A1组分别减少约120, 6μmol/L. 改性黏土对有机氮、磷存在一定的埋存保护作用,通过吸附絮凝、螯合等作用使有机氮、磷脱离水体系统,而自然消亡体系中的微藻消亡后将通过分解、矿化等过程快速进入水体参与再循环.该研究系统阐述了改性黏土絮凝P. micans对水体营养环境的影响,以期为现场治理提供理论支持. 相似文献
28.
The Piratininga Lagoon is a coastal, choked, and brackish ecosystem in SE Brazil, where uncontrolled discharge of domestic sewage led to eutrophication, increasing massive proliferation of benthic macroalgae, and decrease of the lagoon mean depth. In 1992, a dam was constructed by the local Municipality at its tidal channel aiming at stabilising its water level. Main physico-chemical parameters, together with macroalgae biomass, nutrient concentrations in the water column, particulate organic carbon, and chlorophyll a were recorded monthly at 4 sampling stations within the Piratininga lagoon from April 1994 to April 1995. The data, compared with “before-lock” existing studies, show that nutrients and chlorophyll a concentrations significantly increased after the lock construction. Based on the functioning of the ecosystem, we propose to harvest the algal mats before their decomposition period in order to partly remove the nutrient stocks from the lagoon and the future ecosystem modelling to predict the impact of natural and anthropogenic eutrophication. 相似文献
29.
三峡水库香溪河库湾冬季甲藻水华生消机理初探 总被引:15,自引:3,他引:12
2010年1—2月在香溪河库湾上、中、下游各选取1个监测点对水体环境因子及藻类进行监测,对水温、营养盐含量等进行分析,探讨香溪河库湾冬季甲藻水华的生消机理. 结果表明:2010年冬季,香溪河库湾末端暴发了甲藻水华,持续44 d,优势藻种为拟多甲藻(Peridiniopsis sp.),最高细胞密度达到11.8×106 L-1;适宜的水温、充足的营养盐以及良好的光照、弱分层水体是香溪河库湾冬季甲藻水华暴发的主要原因;Zmix/Zeu〔Zmix(混合层深度)与Zeu(真光层深度)之比〕在2~3之间时有利于甲藻生长;库湾中下游因水体掺混强烈而在冬季未暴发水华;后期水体分层状态的加强及Zmix/Zeu的减小是甲藻水华消失的主要原因. 相似文献
30.
Jianzhang Sun Baoyu Gao Yuanxia Luo Moxi Xue Xing Xu Qinyan Yue Yan Wang 《Frontiers of Environmental Science & Engineering》2018,12(3):11