scholarly journals The ice cover shapes the spatial and temporal characteristics of water quality in Hulun Lake during winter

2020 ◽  
Vol 20 (7) ◽  
pp. 2589-2602
Author(s):  
Wen Ao ◽  
Hua-shan Dou ◽  
Cen-cen Yu ◽  
Wen-lin Wang ◽  
Zeng-long Wang ◽  
...  

Abstract Being the largest boreal steppe lake in Northeast China, Hulun Lake has been characterized by eutrophication induced by abnormally high organic matter. This work investigated therefore the physicochemical and water quality parameters of Hulun Lake, and that of the inflowing Crulen River and Orshen River through winter, to reveal the spatial and temporal characteristics of water quality without impact of algal bloom, atmospheric deposition, wind or allochthonous nutrient input. Results showed that the prevention of wind-induced sedimentary resuspension accompanied with the minimized volume of tributary inflows is supposed to predominate the eutrophication alleviation. The formation of ice cover had a slight concentrative effect on water ion content. However, ice cover resulted in an increasingly homogenous distribution of phosphorus and oxygen-depleting organic matter over the entire lake. The two headwater streams demonstrated limited impact on water quality in estuaries in winter without showing evident coordination in upstream water nutrient level. It is suggested that the prevention of wind disturbance by ice cover and the subsequently modified hydrodynamic and water ecological processes are the determinant factors on water quality in Hulun Lake during winter.


2010 ◽  
Vol 13 (4) ◽  
pp. 741-759
Author(s):  
L. De Doncker ◽  
P. Troch ◽  
R. Verhoeven ◽  
K. Buis ◽  
P. Meire

The 1D model package STRIVE is verified for simulating the interaction between ecological processes and surface water flow. The model is general and can be adapted and further developed according to the research question. The hydraulic module, based on the Saint-Venant equations, is the core part. The presence of macrophytes influences the water quality and the discharge due to the flow resistance of the river, expressed by Manning's coefficient, and allows an ecological description of the river processes. Based on the advection–dispersion equation, water quality parameters are incorporated and modelled. Calculation of the water quantity parameters, coupled with water quality and inherent validation and sensitivity analysis, is the main goal of this research. An important study area is the River Aa near Poederlee (Belgium), a lowland river with a wealth of vegetation growth, where discharge and vegetation measurements are carried out on a regular basis. The developed STRIVE model shows good and accurate calculation results. The work highlights the possibility of STRIVE to model flow processes, water quality aspects and ecological interaction combined and separately. Coupling of discharges, water levels, amount of biomass and tracer values provides a powerful prediction modelling tool for the ecological behaviour of lowland rivers.



2020 ◽  
Vol 7 (2) ◽  
pp. 68
Author(s):  
Vega Chrisnawati ◽  
Boedi Setya Rahardja ◽  
Woro Hastuti Satyantini

Water quality is a major factor in shrimp culture so maintenance that water quality system is the key factor of success of white shrimp culture. This research was conducted to determine the commercial probiotic on white shrimp (L. vannamei) culture media to decrease ammonia content and TOM. Research method used experimental testwithdifferent type of probiotic and giving periodic which are P0 (without probiotic). Probiotic A; P1 (3 days), P2 (5 days) and P3 (7 days). Probiotic B; P4 (3 days), P5 (5 days) and P6 (7 days). Probiotic C; P7 (3 days), P8 (5 days) and P9 (7 days).The results showed that probiotic bacteria influence the content of ammonia and total organic matter culture media of white shrimp. The lowest ammonia obtained in P4 (Probiotic B 3 days) is 0.05 mg/L and TOM is 53,72 mg/L in last week.The highest ammoniaand TOM in P0 (Control). All treatments with addition of probiotic give lowers ammonia in culture media. Survival Rate (SR) in P4 give significantly different results (P <0.05) to P0. Other water quality parameters measured during maintenance among other 27-30oC temperature, pH 7.0 to 7.9, Dissolved Oxygen (DO) from 3.1 to 7.6 mg/l and 15-19 ppt salinity.



2017 ◽  
Vol 9 (2) ◽  
pp. 169-176
Author(s):  
Adebukola Adenike ADEDEJI ◽  
Joshua Seun OLAJIDE ◽  
Tolulope Israel ALUKO ◽  
Iysa Olorunshina MUHIBBU-DIN

An effluent receiving stream and Opa River to which it drains within Obafemi Awolowo University, South-Western Nigeria, were studied to ascertain the level of physico-chemical and biological pollution. Water samples were collected and analysed using various standard methods for planktonic abundance and selected physico-chemical parameters over a period of seven months. Most of the water quality parameters investigated showed statistically insignificant differences between the stream and Opa River, except of conductivity, nitrate and turbidity. Notable parameters were nutrient level indicator parameters (conductivity, nitrate, organic matter, COD and planktonic abundance) whose mean concentrations were higher in the effluent receiving stream than in Opa River. Even more, the seasonal variations of some of the investigated parameters (sulphate, organic matter and conductivity) at both sampled stations revealed the effect of anthropogenic run-off as additional source of dissolved nutrient and chemical enrichment rather than the effluent only. Highest occurrence of Chlorophyceae and abundance of Bacillariophyceae in the studied water bodies revealed a level of organic pollution, while the low occurrence species diversity of copepod, cladocera, diptera and protozoa further connotes the unfavourable physico-chemical condition of the water bodies. However, this effect was observed to be reduced at the point where the stream emptied into Opa River. Hence, the effect of the effluent discharge may not pose a health risk to several rural communities downstream which rely on the receiving water body primarily as their source of domestic water. Nevertheless, due to the level of organic pollution recorded, it could be suggested that the oxidation pond effluent discharge should be treated and/or recycled before discharge into this natural body of water. 



Author(s):  
Marta Sória ◽  
Vitor Emanuel Quevedo Tavares ◽  
Marília Alves Brito Pinto ◽  
Lizete Stumpf ◽  
Daiane Zarnott ◽  
...  

Water-quality monitoring is one of the main instruments for water-resource management. This work therefore evaluated the water quality of the contribution basin of the Sinnott water treatment plant as well as the relationship between physicochemical water parameters, and analyzed the seasonal variation of water quality parameters as a function of rainfall. The study area encompassed the contribution basin of the Sinnott water treatment plant, formed mainly by the drainage areas of the Pelotas stream and its tributary, the Quilombo Stream, located in the city of Pelotas - Rio Grande do Sul, Brazil. A set of 118,368 data points for each stream was analyzed between 2007 and 2012. The following water quality parameters were evaluated: turbidity, temperature, color, pH, hardness, dissolved oxygen, organic matter, and alkalinity. Results showed that dissolved oxygen and water pH values conformed with Brazilian legislation in the 6 years evaluated. However, water color was the parameter that remained the greatest number of days above the set limits, mainly in the Pelotas Stream. Result indicates the need for conservation actions in the catchment, especially considering the importance of color for the assessment of water quality for public supply, in terms of both treatment costs and of public health. Highest values for water color, turbidity, and organic matter coincided with the occurrence of the highest rainfall values. Agricultural activities may potentiate sedimentation in the contribution basin of the Sinnott water treatment plant.





2018 ◽  
Vol 6 (1) ◽  
pp. 26-32
Author(s):  
Aprilia Dwi W ◽  
Djoko Suprapto ◽  
Agung Suryanto

ABSTRAKAktivitas pertambakan mengalami penurunan kualitas air tambak akibat dari masukan bahan organik terutama sisa pakan yang terbuang baik secara langsung maupun tidak langsung. Penumpukan bahan organik di dasar tambak secara terus menerus dapat mempengaruhi produktifitas tambak sehingga perlu diketahui proses dekomposisinya antar lokasi dan antar periode waktu. Keberlangsungan proses dekomposisi ditandai dengan nisbah C/N, dimana nisbah C/N yang tinggi menunjukkan kecilnya kandungan N (N-organik dan N-Amoniak) dan sebaliknya nisbah C/N yang rendah menunjukkan proses dekomposisi bakteri berjalan cepat menghasilkan N besar. Tujuan dilakukan penelitian ini adalah untuk mengetahui hubungan nisbah C/N dengan total bakteri sedimen terkait antar lokasi dan antar waktu. Adapun manfaat yang diperoleh memberikan gambaran tentang tingkat dekomposisi berdasarkan nisbah C/N dengan total bakteri, sehingga dapat diketahui cara budidaya perairan yang ramah lingkungan dan berkelanjutan. Penelitian ini dilakukan pada bulan September-Desember 2015 di desa Wonorejo, Kendal. Penelitian ini menggunakan metode Purposive Random Sampling. Pengambilan sampel dan pengukuran parameter kualitas air dilakukan di 3 stasiun yaitu pada inlet, plataran, dan outlet yang dilakukan 3 kali pada rentang waktu 10 hari. Hasil yang diperoleh dari penelitian menunjukan bahwa nisbah C/N pada inlet 2.55-3.68%, pada plataran 3.62-3.79%, pada outlet 3-3.8% yang artinya terjadi mineralisasi N dan beberapa mikroba mati. Sedangkan total bakteri sedimen pada inlet 1.59×104-2.27×104 cfu, pada plataran 0.58×104-1.36×104 cfu, dan pada outlet 0.9×104-1.26×104 cfu. Uji korelasi antara nisbah C/N dan total bakteri sedimen menunjukan yang kurang signifikan. Pertumbuhan bakteri lebih dipengaruhi oleh C-organik. Kata Kunci : Nisbah C/N, Total Bakteri Sedimen, Tambak ABSTRACTCulture activity can  decreased water quality because of the organic matter input, especially because the rest of feet left in pond. Accumulation of organic materi on the pond bottom continuously can affect the productivity of the pond so keep in mind the process of decomposition between sites and between periods of time. The continuity of decomposing process is marked by the C/N ration, where the high of C/N indicates the small amount of Nitrogen (N-Organic and N-Ammonia). On the contrary, the low ratio of C/N shows the bacteria decomposing process runs fast and produce a large amount of N. The purpose of this research was to understand the relationship between the C/N ratio and  total sedimental bacterias linked between location and over time. The benefits is to give description of the decomposing level based on the C/N ratio and total sedimental bacterias, so that understand the method of water cultivation that is biodegradable and sustainable. The research have done on September-December 2015 at Wonorejo, Kendal. This research use purposive method of sampling random. Sampling and measurement the sediment and water quality parameters is done in 3 stations; they are inlet, plataran, and outlet, which is done three times in range 10 days. The Results of the study show that the C/N ratio at the inlet from 2.55 to 3.68, from 3.62 to 3.79 plataran, on outlets from 3 to 3.8, which means there mineralized N and some microba die. While total bacteria at inlet 1.59 × 104 to 2.27 × 104 cfu, on plataran 0.58 × 104 to 1.36 × 104 cfu, and on outlets from 0.9 × 104 to 1.26 × 104 cfu. Correlation between C/N ratio and total bacteria sediment showed less significant. Bacterial growth is more affected by C-organic.Keywords: C/N ratio, Total Bacteria Sediment, Fishpond



2012 ◽  
Vol 65 (5) ◽  
pp. 962-969 ◽  
Author(s):  
Hao Chen ◽  
Binghui Zheng

This study applied parallel factor analysis (PARAFAC) to fluorescence excitation–emission matrices (EEMs) of natural water samples in a freshly submerged catchment in the upper reach of Three Gorges Dam (China). Two fluorescent natural dissolved organic matter (NDOM) components (humic/fulvic-like) were uncovered and were positively correlated with selected water quality parameters, i.e. dissolved oxygen concentration, dissolved organic carbon concentration, dissolved Kjeldahl nitrogen concentration and total (dissolved plus particulate) phosphorus concentration, respectively. To other water quality parameters (i.e. total nitrogen, particulate nitrogen, particulate phosphorus, dissolved phosphorus, dissolved nitrate, pH, and chemical oxygen demand), either the two components did not show any correlation or only one component showed correlation. In particular, particulate N correlated significantly to the fulvic acid, but not to the humic acid. Meanwhile, two conventional spectroscopic indices i.e. specific UV absorbance at 254 nm (SUVA254) and fluorescence index (FI) indicated that the whole NDOM in the waters were low in aromaticity and predominantly derived from aquatic microbial processes. Given together, it concludes that N and P did not function equally in the NDOM production, and the two components were not derived from the same microbial processes. The EEMs-PARAFAC has proven to be of potential as an effective tool in investigation of the interlink between NDOM and nutrients which may be utilized as an indicator of water environment.



2010 ◽  
Vol 27 ◽  
pp. 11-19 ◽  
Author(s):  
U. Haberlandt

Abstract. Decision support for planning and management of water resources needs to consider many target criteria simultaneously like water availability, water quality, flood protection, agriculture, ecology, etc. Hydrologic models provide information about the water balance components and are fundamental for the simulation of ecological processes. Objective of this contribution is to discuss the suitability of classical hydrologic models on one hand and of complex eco-hydrologic models on the other hand to be used as part of decision support systems. The discussion is based on results from two model comparison studies. It becomes clear that none of the hydrologic models tested fulfils all requirements in an optimal sense. Regarding the simulation of water quality parameters like nitrogen leaching a high uncertainty needs to be considered. Recommended for decision support is a hybrid metamodel approach, which comprises a hydrologic model, empirical relationships for the less dynamic processes and makes use of simulation results from complex eco-hydrologic models through second-order modelling at a generalized level.



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