scholarly journals Variations of surface water quality in selected tidal creeks of Sagar Island, Indian Sundarban eco-region: a multivariate approach

2021 ◽  
Vol 11 (3) ◽  
Author(s):  
Sanghamitra Basu ◽  
Subarna Bhattacharyya ◽  
Pranab Gogoi ◽  
Suryasis Dasgupta ◽  
Sanjoy Kumar Das

AbstractSagar Island in Indian Sundarbans is bestowed with numerous tidal creeks providing a suitable home to its inherent aquatic biota. The present study investigated the variation in the surface water quality in selected tidal creeks of Sagar Island, Indian Sundarbans to understand the present status of water quality for wildlife propagation and fisheries. Ten water parameters were taken into consideration for analysis on monthly basis from four stations (tidal creeks) from September 2015 to August 2016. One-way ANOVA showed five parameters (water temperature, salinity, dissolved oxygen, turbidity and chemical oxygen demand) varied significantly between seasons (p ≤ 0.05). Factor analysis exhibited four factors explaining 53.21% total variance in the observed data. Salinity and turbidity showed a maximum annual range of variations followed by dissolved oxygen. The fluctuations of physicochemical parameters throughout the year hinted toward the ever-changing nature of the estuarine ecosystem with possible human-induced impacts. Pronounced variation in turbidity seemed to be the effect of ferrying/transportation, monsoonal runoff and other human-induced activities. In the present study, water parameters viz., water temperature, dissolved oxygen and turbidity were the deterministic parameters influencing the variables in the system. The other important parameters were found to be COD, BOD3 and nitrate concentrations during the study period. The study shall provide baseline information in formulating the management measures in terms of water quality in wildlife propagation and fisheries.

2021 ◽  
Vol 1 (1) ◽  
pp. 21-24
Author(s):  
Afshan Urooj ◽  
Rida Ilyas ◽  
Nimrud Humayun Humayun

Water pollution has been a hot debate for government and scientists. in addition, protecting river water quality is exceedingly immediate because of serious water pollution and global scarcity of water reservoir. This study was conducted to assess the effect of solid waste dumping on surface water quality. In return to achieve this, water samples were obtained in different months from site. Below site was selected due to the dumps on surface water. Water parameters pH, turbidity conductivity and temperature were determined using pH/conductivity meter, Most the values are within the permissible limits, but all the samples do not fulfill WHO requirements, site may have effects on human health due to waterborne diseases and on soil fertility.


2015 ◽  
Vol 2 (1) ◽  
pp. 260 ◽  
Author(s):  
Retno Wimbaningrum ◽  
Endang Arisoesilaningsih ◽  
Catur Retnaningdyah ◽  
Serafinah Indriyani

<p>Irrigated agriculture is dependent on an adequate water supply of usable quality. The analysis of physico­chemical parameters of surface water inJember District was done for the criteria of irrigation water quality. Surface water comprises spring water, falls, rivers, and tertiary irrigation channels. For this purpose, three sectors or locations were chosen to take twenty seven water samples in the summer season (September to October, 2013). DO, electrical conductivity (ECw), pH, and water temperature values were measured directly in the field,while analyses of nitrate (NH3-N), orthophosphate, total dissolved solids (TDS), and bicarbonate (HCO3-) was conducted in a laboratory. The results indicated that ECw, TDS, pH, water temperature,NH3-N, and orthophosphate were under the limits set out by the Rules of the Republic of Indonesia Government (PP RI) No. 82, 2001, for water quality standard and FAO for irrigation water quality standard. Thus, the surface water of Jember District was considered to be suitable for irrigation at the sampled location.</p><p><br /><strong>Keywords</strong>: Surface water quality; irrigation; physico-chemical parameter; Jember District.</p>


Water ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1041
Author(s):  
Sinan Nacar ◽  
Adem Bayram ◽  
Osman Tugrul Baki ◽  
Murat Kankal ◽  
Egemen Aras

The aim of this study was to model, as well as monitor and assess the surface water quality in the Eastern Black Sea (EBS) Basin stream, Turkey. The water-quality indicators monitored monthly for the seven streams were water temperature (WT), pH, total dissolved solids (TDS), and electrical conductivity (EC), as well as luminescent dissolved oxygen (LDO) concentration and saturation. Based on an 18-month data monitoring, the surface water quality variation was spatially and temporally evaluated with reference to the Turkish Surface Water Quality Regulation. First, the teaching–learning based optimization (TLBO) algorithm and conventional regression analysis (CRA) were applied to three different regression forms, i.e., exponential, power, and linear functions, to predict LDO concentrations. Then, the multivariate adaptive regression splines (MARS) method was employed and three performance measures, namely, mean absolute error (MAE), root means square error (RMSE), and Nash Sutcliffe coefficient of efficiency (NSCE) were used to evaluate the performances of the MARS, TLBO, and CRA methods. The monitoring results revealed that all streams showed the same trend in that lower WT values in the winter months resulted in higher LDO concentrations, while higher WT values in summer led to lower LDO concentrations. Similarly, autumn, which presented the higher TDS concentrations brought about higher EC values, while spring, which presented the lower TDS concentrations gave rise to lower EC values. It was concluded that the water quality of the streams in the EBS basin was high-quality water in terms of the parameters monitored in situ, of which the LDO concentration varied from 9.13 to 10.12 mg/L in summer and from 12.31 to 13.26 mg/L in winter. When the prediction accuracies of the three models were compared, it was seen that the MARS method provided more successful results than the other methods. The results of the TLBO and the CRA methods were very close to each other. The RMSE, MAE, and NSCE values were 0.2599 mg/L, 0.2125 mg/L, and 0.9645, respectively, for the best MARS model, while these values were 0.4167 mg/L, 0.3068 mg/L, and 0.9086, respectively, for the best TLBO and CRA models. In general, the LDO concentration could be successfully predicted using the MARS method with various input combinations of WT, EC, and pH variables.


2013 ◽  
Vol 13 (2) ◽  
pp. 515-523 ◽  
Author(s):  
Ying Ouyang ◽  
Prem B. Parajuli ◽  
Daniel A. Marion

Pollution of surface water with harmful chemicals and eutrophication of rivers and lakes with excess nutrients are serious environmental concerns. This study estimated surface water quality in a stream within the Yazoo River Basin (YRB), Mississippi, USA, using the duration curve and recurrence interval analysis techniques. Data from the US Geological Survey (USGS) surface water monitoring station located in Deer Creek east of Leland from the YRB were selected for the analysis. Results showed that the water quality constituents, namely water temperature, specific conductivity (SC) and dissolved oxygen (DO), in this stream were found not to be the major concerns as the percentages of the time when these constituents did not meet their criteria were very low. Our results further revealed that the water temperature and SC increased as time elapsed, indicating the potential global warming and contamination impacts in this stream. In contrast, the DO and pH decreased as time elapsed, postulating a potential increase in biochemical oxygen demand and an acidic trend in this stream. Over the last decade, the average recurrence intervals when the water temperature, SC, and DO did not meet their criteria or minimum conditions were around 1 year. Using a target DO value of 429 kg d−1 proposed by the Mississippi Department of Environmental Quality, results from this study showed that there was about 25% of the time when the DO load did not meet the target value. This study suggests that the duration curve and recurrence interval analysis techniques are useful statistical tools for water quality trend estimation.


2019 ◽  
Vol 15 (9) ◽  
pp. 187
Author(s):  
Tran The Dinh

Recently, the aquaculture sector of Kien Giang province has been facing many difficulties and challenges due to the changing water quality, causing serious degradation and pollution. Based on the results of the survey and measurement of surface water parameters in 2016 at Kien Giang province, the paper analyzes six water quality indicators in 10 locations of Kien Giang province. The results of analysis of indicators were compared with National Technical Regulation on Surface Water Quality (QCVN 08-MT: 2015/BTNMT) to evaluate surface water quality of this area. The paper also provides an assessment of the suitability of water quality status for aquaculture in the region.


2021 ◽  
Author(s):  
Rui Pedroso de Lima ◽  
Thom Bogaard ◽  
Robbert De Lange

&lt;p&gt;Water resources in Myanmar are increasingly affected by anthropogenic pressure and climate change related impacts. At the Inle Lake a unique village is located on the water in close proximity to intense fishing/farming activities. The nearby floating gardens provide invaluable resources for local communities, who are highly vulnerable to changes to water quality in the lake. Diversely, within the city of Yangon, the Kandawgyi lake is a popular recreational area which has become heavily affected by excessive algae proliferation. The deterioration of water quality Is likely caused by uncontrolled untreated wastewater, and poses a risk to the citizens. Finally, rivers such as the Pan Hlaing River, flow through industrial zones and collect waste water discharges.&lt;/p&gt;&lt;p&gt;Monitoring in these regions is scarce and limited to a few point-sampling locations. Local stakeholders lack adequate tools to monitor the needed parameters and are in need of reliable and updated baseline water quality data to support them in setting-up sustainable water management strategies. Tools such as aquatic drones and in-situ sensors are innovative ways of monitoring water quality and ecology that could contribute for effectively gathering valuable environmental data.&lt;/p&gt;&lt;p&gt;In this project, aquatic drones (both underwater and surface) were equipped with water quality sensors and cameras for low-cost and rapid assessment of surface water quality at high spatial resolution. The drones are able to navigate autonomously through way-points while collecting geo-referenced data. This study aims at field-testing of two affordable aquatic drones with sensors to map water quality parameters in different types of water systems (large lake, urban lake, river). This study reports the challenges encountered, and evaluates the resulting dataset/maps are in relation to the cost and value for the local stakeholders (ongoing research).&lt;/p&gt;&lt;p&gt;At the Inle Lake, results show varying concentrations of the different parameters that were measured. Low dissolved oxygen levels were found within the villages and underneath floating gardens, while chlorophyll-a and cyanobacteria levels were low across the whole lake. Underwater images show the presence of fish and provide insights into the aquatic ecosystems. At the Kandawgyi Lake, the generated water quality maps illustrate the spatial distribution of the different parameters, and two main areas of contamination could be identified (high algae content, low dissolved oxygen, high E-coli concentrations). At the Pan Hlaing river, the plotted data show degrading levels of dissolved oxygen concentrations, indicating potential effects caused by industry outlets.&lt;/p&gt;&lt;p&gt;The water quality maps that were generated with this data are very illustrative of the condition of the water bodies and the location of contaminations hotspots. The measurement process was accompanied by stakeholders and local universities, which contributed to stimulate capacity building and to create awareness for water quality related problems. As follow-up activities, these results will be used to draft a long-term water quality monitoring plan for local Myanmar students to continue collecting water quality data at these lakes. The detected issues are being discussed with local stakeholders, as well as the possibilities for establishing a larger scale monitoring campaign using this type of monitoring tools.&lt;/p&gt;


1970 ◽  
Vol 44 (1) ◽  
pp. 65-80 ◽  
Author(s):  
Mahfuza S Sultana ◽  
M Shahidul Islam ◽  
Ratnajit Saha ◽  
MA Al-Mansur

The study was carried out in order to assess the impact of the various pollutants of textile dyeing effluents on the surface water quality of the industrial area inside Dhaka-Narayanganj-Demra (D.N.D) embankment, Narayanganj. Physicochemical parameters such as TSS, TDS, DO, pH, EC, Turbidity, BOD, COD, anionic parameters such as F-, Cl-, NO2 -, NO3 -, SO4 - and PO4 3- and heavy metals such as Pb, Zn, Cd and Cu of the samples were investigated by using various techniques. The results showed that, textile dyeing industries inside D.N.D embankment area discharges effluents composed of various physicochemical and anionic pollutants at considerably higher level compared to pollution limit. Further, the surface water of the D.N.D channel, ponds and lakes around the studied textile dyeing industries also contain various physicochemical and anionic pollutants at intolerable limit. A significant correlation was also observed among some important water parameters of the effluents and surface water. The above findings point out that the surface water around the studied textile dyeing industries is highly polluted by the industrial activities of the D.N.D. embankment area and not good for human consumption. Key words: Industrial effluents, D.N.D embankment, Surface water quality, Environmental impact.      doi: 10.3329/bjsir.v44i1.2715 Bangladesh J. Sci. Ind. Res. 44(1), 65-80, 2009


2019 ◽  
Vol 38 (2) ◽  
pp. 200-220
Author(s):  
SOMNATH SAHA ◽  
◽  
SUKANTA KUMAR SAHA ◽  
TATHAGATA GHOSH ◽  
ROLEE KANCHAN ◽  
...  

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