Use of Algae as a Bio-indicator to Determine Water Quality (A Case Study)

2016 ◽  
Vol 5 (6) ◽  
pp. 235-243
Author(s):  
Shampa Deb ◽  
Ajay S. Kalamdhad

The water and algal samples were collected from selected three sampling stations of IITG campus of Assam. A total of 29 numbers of algal species along with 28 numbers of macrophytes species were recorded from three sampling stations throughout the study period.The pH value of water shows alkaline in nature with optimum temperature. The results of the present study revealed that the water quality was affected by thedecomposition of organic matter, inputs of campus waste, litter deposition, etc.Bacillariophyceae was represented by highest number of species fol lowed by Chlorophyceae and Cyanophyceae. Among the algal species Spirogyra, Surirella lanceolate and Euglena were abundantly present in the study area.

2009 ◽  
Vol 43 (6) ◽  
pp. 1755-1765 ◽  
Author(s):  
Baiyang Chen ◽  
Seong-Nam Nam ◽  
Paul K. Westerhoff ◽  
Stuart W. Krasner ◽  
Gary Amy

Author(s):  
Santra Prabowohendhi ◽  
Ferida Yuamita ◽  
Andung Jati Nugroho

As the population grows in big cities and watersheds, it will significantly impact river waters. One of the settlements located on the banks of the river Winongo is Ngampil village, Ngampil sub-district, Yogyakarta City. According to data from the Yogyakarta City Central Statistics Agency, the population of the Ngampil sub-district increased in 2018 to 18,591 inhabitants, from 2016 with 10,540 inhabitants, the Winongo River is used by the Ngampil residents for fish farming by making cages and also residents who use the Winongo River for activities environmental conservation. One effort to control water pollution is to monitor water quality consistently. The problem in this research is the absence of tools to monitor river water quality. Therefore, it is necessary to design an efficient monitoring tool to read water quality with a ph indicator in real-time using the hovercraft method through the internet of things method. Utilizing this robot boat tool can monitor river water quality using an automatic drive system and display the river water's pH indicator on the website. This research showed river water quality at 6:00 in the morning with a pH value of water 6.81 information Poor / Contaminated by Weight, daytime at 12.00 with a pH value of water 6.77 information Poor / Contaminated by Weight, and afternoon at 18.00 with a water ph value of 6.66 information Poor / Severely polluted.


2021 ◽  
Vol 12 (3) ◽  
pp. 624-628
Author(s):  
Muhammad Mujahid ◽  
Iis Diatin ◽  
Juang Rata Matangaran

We analyzed the heavy metals and water quality of a post-mining area of ​​silica for material of cement factory. The research was located in the Cibadak district, Sukabumi West Java Indonesia. The water sampling method was carried out in two locations, namely a large settling pond and a small settling pond. Water quality parameters were analyzed such as pH, alkalinity, turbidity, total organic matter, and total ammonia nitrogen. The results showed that the water in both pond contents heavy metals. The heavy metals in the form were Mercury (Hg), Cadmium (Cd), Copper (Cu), Lead (Pb), Arsen (As), Ferrum (Fe), and Cromium (Cr6+) in the both settling ponds. However, in small ponds there was a higher Fe value so the water is yellowish. There is a difference in acidity showed in the two ponds, pH 3-4 in the small pond and the large pond pH 7-8. Total organic matter was higher in large pond. Small settling pond has a very low pH value, so they are classified as acidic waters and contain high iron content so they cannot be used for human needs or aquatic life. Large settling ponds can still be used for aquaculture activities.


2016 ◽  
Vol 16 (6) ◽  
pp. 1659-1667 ◽  
Author(s):  
E. Giresunlu ◽  
B. Beler Baykal

A case study of the conversion to grey water to a flush water source in a student residence hall of the Turkish megacity Istanbul is presented. Grey water from bathtubs/showers and washbasins is treated and reused for flushing toilets. Raw and membrane bio-reactor (MBR) treated grey water quality was monitored throughout one academic year using parameters to characterize organic matter (COD/BOD), suspended solids (TSS/VSS), nutrients (N/P) and microbiological indicators (total/fecal coliform, Escherichia coli, Enterococcus). For raw grey water, all mean concentrations are below the characteristic concentrations for weak conventional domestic wastewater in terms of physicochemical parameters. However, total coliform concentrations were 7 logs, which is compatible with weak/intermediate conventional domestic wastewater and the mean concentration of fecal coliforms was 6 logs, corresponding to intermediate/strong conventional domestic wastewater. Results of this work revealed that organic matter and microbiological indicators were the important pollutants for this specific grey water. After treatment in an MBR system, grey water quality complied with standards given for reuse as flush water. The student residence hall was a successful example of conversion to grey water as a flush water source. As such, 25% of the wastewater could be revaluated and 25% of the regular daily water supply could be saved.


Water ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 159 ◽  
Author(s):  
Guoyu Xu ◽  
Xiaodong Ren ◽  
Zhenhua Yang ◽  
Haifei Long ◽  
Jie Xiao

Water quality is highly influenced by the composition and configuration of landscape structure, and regulated by various spatiotemporal factors. Using the Wujiang river watershed as a case study, this research assesses the influence of landscape metrics—including composition and spatial configuration—on river water quality. An understanding of the relationship between landscape metrics and water quality can be used to improve water contamination predictability and provide restoration and management strategies. For this study, eight water quality variables were collected from 32 sampling sites from 2014 through 2017. Water quality variables included nutrient pollutant indicators ammoniacal nitrogen (NH3-N), nitrogen (NO3−), and total phosphate (TP), as well as oxygen-consuming organic matter indicators COD (chemical oxygen demand), biochemical oxygen demand (BOD5), dissolved oxygen (DO), and potassium permanganate index (CODMn). Partial least squares (PLS) regression was used to quantitatively analyze the influence of landscape metrics on water quality at five buffer zone scales (extending 3, 6, 9, 12, and 15 km from the sample site) in the Wujiang river watershed. Results revealed that water quality is affected by landscape composition, landscape configuration, and precipitation. During the dry season, landscape metrics at both landscape and class levels predicted organic matter at the five buffer zone scales. During the wet season, only class-level landscape metrics predicted water contaminants, including organic matter and nutrients, at the middle three of five buffer scales. We identified the following important indicators of water quality degradation: percent of landscape, edge density, and aggregation index for built-up land; aggregation index for water; CONTAGION; COHESION; and landscape shape index. These results suggest that pollution can be mitigated by reducing natural landscape composition fragmentation, increasing the connectedness of region rivers, and minimizing human disturbance of landscape structures in the watershed area.


2019 ◽  
Vol 14 (2) ◽  
pp. 55
Author(s):  
Afifah Nasukha ◽  
Reagan Septory ◽  
Gigih Setia Wibawa ◽  
Karl-Heinz Runte

Mariculture industry has been developed progressively in Indonesia, where its impact on the surrounding aquatic environment is inevitable. The particulate wastes produced such as excess food and feces will be discharged from a marine farm and dispersed into the surrounding areas. This process could lead to organic enrichment of the receiving seabed sediment and gradually degrade water quality and disturb local benthic community as well as the aquatic ecosystem of the area. This study focused on determining the level of organic enrichment of sediment underneath four currently-active farms in Pegametan Bay, North Bali, Indonesia. The results showed that high accumulation of organic matters was evident in all sampling farms indicated by a significantly high particulate organic matter (POM) between 75.20 ± 2.57 and 92.97 ± 0.59%, and low redox values between -217.41 ± 2.74 and -343.57 ± 1.48 mV. A visual-based assessment also determined that the sediment had a silt and muddy texture with deep grey to black colorization with noticeable strong H2S odor. In this case, further investigations and monitoring efforts are needed in the near future to ensure the best management programs for sustainable farming and ecosystem both fish farmers and environmental regulators such as local government.


2021 ◽  
Vol 21 (4) ◽  
pp. 189-199
Author(s):  
Sajita Pokhrel ◽  
Narayan Prasad Ghimire ◽  
Shiva Kumar Rai

Abstract The study of the importance of physicochemical parameters of water for algal growth and development in Jagdishpur Reservoir was carried out in the present research. Occurrence of algal species and values of water quality parameters also indicate the ecological nature and the present status of the reservoir. Water samples were collected from Jagdishpur Reservoir in Kapilvastu District (Nepal), in two seasons (wet and dry). The following physicochemical parameters of water were analyzed: temperature, pH, dissolved oxygen, alkalinity, concentration of nitrates and phosphates, free CO2, hardness, conductivity, total dissolved solids. The values of free CO2, hardness, phosphate, temperature, and dissolved oxygen were high in wet season while alkalinity, nitrate, conductivity and total dissolved solid were high in dry season. Altogether 81 algal species belonging to 53 genera and 6 classes were recorded. Higher number of algal species was recorded in the dry season rather than in the wet season. The highest number of species was noted among Chlorophyceae, followed by Cyanobacteria > Bacillariophyceae > Euglenophyceae > Crysophyceae and Dinophyceae. Cosmarium had the highest number of species (13) among all genera. During the wet season, Cosmarium, Calothrix and Phormidium were the genera with the highest number of species while Bulbochaete, Trachelomonas and Gomphonema were genera with the lowest number of species. During the dry season, Cymbella, Cosmarium and Rhopalodia were genera with highest number of species while Euglena, Gloeotrichia and Trachelomonas were genera with lowest number of species. Algal diversity was positively correlated with the increase of alkalinity, conductivity and TDS, while negatively correlated with free CO2, hardness, concerntration of phosphates and nitrates, DO, pH and temperature. Shannon–Weiner diversity index value was higher during the dry season than in the wet season.


2021 ◽  
Vol 272 ◽  
pp. 01023
Author(s):  
Yuhua Gao ◽  
Haihua Li ◽  
Yuxuan Zheng ◽  
Ruhui Guo ◽  
Zhenfa Liu

The water quality of Hengshui Lake in different regions and at different times was analyzed. According to the data analysis results of chemical oxygen demand (COD), biochemical oxygen demand (BOD5), ammonia nitrogen (NH3-N), total nitrogen (TN), total organic carbon (TOC), total phosphorus (TP), calcium ion content, total hardness, chloride ion content, pH value and conductivity of Hengshui Lake water samples, the water quality of Hengshui Lake was evaluated and analyzed. The results showed that the pollution of Hengshui Lake was mainly organic matter pollution, especially non-biodegradable organic matter pollution. The value of TN was higher than the Class III water, which showed that the self purification capacity of Hengshui Lake water body was weaker. The water quality of Hengshui Lake was better, but the treatment of organic pollution should be paid attention to.


TAPPI Journal ◽  
2014 ◽  
Vol 13 (9) ◽  
pp. 51-60
Author(s):  
DENNIS VOSS ◽  
HANS-JOACHIM PUTZ ◽  
SAMUEL SCHABEL

The need for deinking mills to reduce their fresh water consumption has resulted in higher loads of various contaminants in the process water. Lower recovered paper quality also leads to higher contamination levels in the mills. This higher load has an influence on achievable target brightness. The objective of the work was to determine and explain the main reasons for relatively poor deinked pulp quality or poor deinking potential based on the influence of recovered paper composition and process water quality. The process water parameters significantly affect the deinking potential of recovered paper. The test results showed the negative effects of increased water hardness. For standard recovered paper mixtures, flotation selectivity is higher with increasing flotation pH-value. Good results were realized for standard recovered paper with low hardness, low surface tension, and high pH-value. The results for recovered paper containing flexo newsprint could be slightly improved with low hardness, low surface tension, and low pH-value. The results of the test program using design of experiments showed interacting effects of pH-value and surface tension on luminosity and flotation selectivity.


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