scholarly journals Assessment of water quality of Garmat Ali river for irrigation purposes

2019 ◽  
Vol 118 ◽  
pp. 03054
Author(s):  
Dina A. Yaseen ◽  
Saad Abu-Alhail ◽  
Haider A. Khanfar
Keyword(s):  
Water Quality ◽  
Water Discharge ◽  
Quality Parameters ◽  
Polluted Water ◽  
Wet Season ◽  
Severe Problem ◽  
Discharge Point ◽  
Food And Agriculture ◽  
Sodium Toxicity ◽  
Sodium Percentage

This study investigates the suitability of Garmat Ali river (Iraq) for irrigation uses. Two stations were chosen: station A; far from any polluted water discharge point, and station C; near to a very contaminated water discharge point). Water samples were picked up and tested for pH, electrical conductivity, total dissolved solids, sodium, potassium, calcium, magnesium, bicarbonate, sulfate, chlorine, and nitrate. Three samples were collected in January and March 2019 from each site, to reflect the wet season in Iraq. Besides the classification of water quality parameters of Garmat Ali river for watering, other parameters were also calculated, such as sodium adsorption ratio, soluble sodium percentage, exchangeable sodium percentage, magnesium hazard, kelly ratio, permeability index, and potential salinity. According to the Food and Agriculture Organization (FAO) guidelines, the overall results showed that the salinity and chlorine were within the range that causing severe problem to plants. In addition, sodium toxicity and hazard were classified the river water as unsuitable for irrigation. Potential salinity was under the class of unsuitable for irrigation. Bicarbonate hazard was under the category “slight to moderate”. However, the remaining parameters were within the accepted range. Most of the contaminants were higher in the polluted station.

Study on Water Quality Improvement of Streams in Baoan District, Shenzhen City, China

2011 ◽  
Vol 347-353 ◽  
pp. 1902-1905
Author(s):  
Hua Li You
Keyword(s):  
Waste Water ◽  
Mathematical Model ◽  
Water Quality ◽  
Fresh Water ◽  
Water Discharge ◽  
Water Environment ◽  
Oxygen Demand ◽  
Polluted Water ◽  
Integrated Analysis ◽  
Shenzhen City

Water is the basis of natural resources and strategic economic resources.Deteriorated water environment of streams in Shenzhen city could have a great impact on ecological safety, people's health,and economic development.Based on the data of field observation and Remote sensing (RS) image,integrated analysis of the water degradation causes,and the changes of biochemical oxygen demand in five days(BOD5）concentration by mathematical model were carried out,which is on basis of percentage of waste water disposal,fresh water transformation,and harbor excavation, respectively.The results show that degradation causes of water quality were resulted from waste water discharge, harbor construction,and ecological environment damage, which could lead to slowly water exchange. Accordingly,the pollution can be easily to store in the bay,which result in water quality changes.The most important improved countermeasure is the control of waste water, which could be had a great effectiveness to decrease pollution.In addition, fresh water must be supplied after polluted water was cut off,which can be better improvement for water quality.This would be extreme improvement for hydrological dynamics due to 15m harbor excavation,which can significantly reduce BOD5 concentration.The innovation points of this paper is to mathematical model,which is based on the basis of qualitative analysis.

scholarly journals Limnology of Merbok estuary, Kedah, Malaysia

2015 ◽  
Vol 41 (1) ◽  
pp. 13-19
Author(s):  
Kaniz Fatema ◽  
Wan Maznah Wan Omar ◽  
Mansor Mat Isa
Keyword(s):  
Water Quality ◽  
Dissolved Oxygen ◽  
Suspended Solids ◽  
Total Suspended Solids ◽  
Quality Parameters ◽  
The Other ◽  
Wet Season ◽  
Hand Temperature ◽  
Do Concentration ◽  
Merbok Estuary

Water quality in three different stations of Merbok estuary was investigated limnologically from October, 2010 to September, 2011. Water temperature, transparency and total suspended solids (TSS) varied from 27.45 - 30.450C, 7.5 - 120 cm and 10 -140 mg/l, respectively. Dissolved Oxygen (DO) concentration ranged from 1.22-10.8 mg/l, while salinity ranged from 3.5-35.00 ppt. pH and conductivity ranged from 6.35 - 8.25 and 40 - 380 ?S/cm, respectively. Kruskal Wallis H test shows that water quality parameters were significantly different among the sampling months and stations (p<0.05). This study revealed that DO, salinity, conductivity and transparency were higher in wet season and TSS was higher in dry season. On the other hand, temperature and pH did not follow any seasonal trends.Bangladesh J. Zool. 41(1): 13-19, 2013

The Chao Phraya River Basin: water quality and anthropogenic influences

2018 ◽  
Vol 19 (5) ◽  
pp. 1287-1294 ◽  
Author(s):  
Nuanchan Singkran ◽  
Pitchaya Anantawong ◽  
Naree Intharawichian ◽  
Karika Kunta
Keyword(s):  
Water Quality ◽  
Land Use ◽  
River Basin ◽  
River Mouth ◽  
Oxygen Demand ◽  
Quality Parameters ◽  
Paddy Fields ◽  
Coliform Bacteria ◽  
Wet Season ◽  
Chao Phraya River

Abstract Land use influences and trends in water quality parameters were determined for the Chao Phraya River, Thailand. Dissolved oxygen (DO), biochemical oxygen demand (BOD), and nitrate-nitrogen (NO3-N) showed significant trends (R2 ≥ 0.5) across the year, while total phosphorus (TP) and faecal coliform bacteria (FCB) showed significant trends only in the wet season. DO increased, but BOD, NO3-N, and TP decreased, from the lower section (river kilometres (rkm) 7–58 from the river mouth) through the middle section (rkm 58–143) to the upper section (rkm 143–379) of the river. Lead and mercury showed weak/no trends (R2 &lt; 0.5). Based on the river section, major land use groups were a combination of urban and built-up areas (43%) and aquaculture (21%) in the lower river basin, paddy fields (56%) and urban and built-up areas (21%) in the middle river basin, and paddy fields (44%) and other agricultural areas (34%) in the upper river basin. Most water quality and land use attributes had significantly positive or negative correlations (at P ≤ 0.05) among each other. The river was in crisis because of high FCB concentrations. Serious measures are suggested to manage FCB and relevant human activities in the river basin.

scholarly journals Monitoring and Analysis of Water Quality Parameters for Diagnosis of Safe Drinking Purpose using Wireless Sensor Network

2019 ◽  
Vol 9 (2) ◽  
pp. 1478-1482
Keyword(s):  
Water Quality ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Polluted Water ◽  
The People ◽  
Living Things ◽  
Untreated Sewage ◽  
The World

In the 21st century, the world had advanced through lots of innovations; its parallel impact in the form of pollutions, global warming and climatic change crisis are being raised. These crises create a gap in terms climatic changes, poor air quality, and unsafe drinking water for the population around the world. Among all pollutants, water pollution is a thrust area as it is a prominent parameter in the food chain of living things. There are huge numbers of diseases that are attributed due to polluted water. The water sources are mainly polluted due to untreated sewage and industry discharges. But mainly industrial wastewater discharge contributes to the accelerated pollution in the water bodies. The proposed design focuses on monitoring the water quality parameters like pH, TDS, TOC, and Chlorine content, conductivity etc., using wireless Sensor Nodes around open ponds and wells near tannery units. The data is transmitted to the cloud, and further information is given to the people through GSM. Repository of data is maintained in order to take it for further analysis. Results obtained from the model indicate the values of the above mentioned parameters.

scholarly journals Assessment of the abundance and species composition of Phytoplankton of Moiur river, Khulna

2015 ◽  
Vol 21 ◽  
pp. 27-34 ◽  
Author(s):  
Md Lifat Rahi ◽  
Sarower E Mahfuj ◽  
Sk Shahinur Islam ◽  
S Saiful Islam ◽  
Wasim Sabbir
Keyword(s):  
Water Quality ◽  
Species Composition ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Polluted Water ◽  
Optimum Level ◽  
Phytoplankton Abundance ◽  
The Family ◽  
Total Phytoplankton ◽  
Positive Correlations

Context: Phytoplanktonic community structure in an aquatic body embodies the energy transfer through this phase and indicates the tropic status. Objectives: The present study was conducted to assess the phytoplankton abundance and species composition of Mouri River, Khulna, Bangladesh. Materials and Methods: Water samples were collected from six different stations once in a week for a period of 6 months (February- July) 2010. Results: In total 48 different species of 23 genus and 4 families were identified. Phytoplankton abundance varied from 805 to 1788 individuals/L in different stations. The highest abundance was observed for the family chlorophyceae that constituted 27-50.56% of the total phytoplankton biomass throughout the river. Highest number of phytoplankton species (22) was also recorded for the family chlorophyceae. The most diverse genus was Navicula (6). Some aspects of the water quality parameters were measured by regression analysis and significant correlations were also observed between water quality parameters and phytoplankton abundance. Water temperature, pH, DO, Free CO2, alkalinity, hardness, calcium and magnesium showed positive correlations with total phytoplankton abundance where as transparency, TDS, TSS, sulfate phosphate and nitrite showed negative correlations. Conclusion: In most of the cases, phytoplankton abundance and water quality parameters showed greater deviation from the optimum level. However, the results of the present experiment confirmed the polluted water of the river. DOI: http://dx.doi.org/10.3329/jbs.v21i0.22516 J. bio-sci. 21: 27-34, 2013

Determination of Water Quality Parameters in Wet Season of Surface Water in Trabzon

Ekoloji ◽  
2012 ◽  
Vol 21 (82) ◽  
pp. 77-88 ◽  
Author(s):  
Fatma Gultekin ◽  
Arzu Firat Ersoy ◽  
Esra Hatipoglu ◽  
Secil Celep
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Wet Season

ASSESSMENT OF POLLUTION HAZARDS OF GROUNDWATER RESOURCE IN ABEOKUTA NORTH LOCAL GOVERNMENT AREA, OGUN STATE, SOUTHWESTERN NIGERIA

2017 ◽  
Vol 15 (1) ◽  
pp. 42-56
Author(s):  
S A ISHOLA ◽  
V MAKINDE ◽  
I C OKEYODE ◽  
F G AKINBORO ◽  
H AYEDUN ◽  
...  
Keyword(s):  
Public Health ◽  
Water Quality ◽  
Local Government ◽  
Solid Waste ◽  
Quality Parameters ◽  
Dry Season ◽  
Total Hardness ◽  
Wet Season ◽  
Mean Values ◽  
Physico Chemical

Pollution of wells and borehole water, either from point or non-point sources, has become a matter of health concern both in urban and rural areas. Groundwater is tapped for domestic uses through the con-struction of hand dug wells and boreholes. However, while providing an alternative to the public water supply sources; most of the boreholes are often located too close to possible contamination sources. Various land use and human activities such as solid waste landfills, cemetery and animal wastes, among others can result in ground water contamination. In an open or buried dumping solid waste or sanitary landfill, the organic and inorganic by-products resulting from the decomposition of wastes are leached out by the infiltration of rainfall. A release of leachate to the surrounding soil without proper collection and treatment could contaminate groundwater resources. Many of the wells and boreholes in the study area were found to be indiscriminately located and scattered among such impairing lands/features. This study was therefore aimed at assessing the pollution hazards and vulnerability of groundwater resource in Abe-okuta North Local Government Area (LGA) by sampling some boreholes from selected locations in the area. Water samples were collected and analyzed for water quality parameters using standard proce-dures. The parameters determined were Turbidity, Temperature, Electrical Conductivity (EC), pH, Total Dissolved Solids (TDS) Total Suspended Solids (TSS), Total Solids (TS), Total hardness, cations {Potassium (K), Sodium (Na), Calcium (Ca), Magnesium (Mg), Manganese (Mn), iron (Fe)}, anions {Chloride (Cl-), Nitrate (NO3-), Sulphate (SO42-), Phosphate (PO43-)}, and heavy metals {lead (Pb2+), Zinc (Zn2+), Copper (Cu2+)}. Results were subjected to statistical evaluations using SPSS 18.0 for descriptive statistics and Analysis of Variance (ANOVA). It was observed that the elemental parameters in the bore-holes sampled have mean values of the concentrations of Fe2+, Na+, Cl- , SO42-, Pb2+, Mn2+, Cu2+ and Zn2+ higher during the wet season relative to dry season. For the physico-chemical parameters, it was equally observed that parameters such as EC, TDS, TS, TSS were higher during the wet season than dry season while turbidity, temperature, pH and total hardness were higher during dry season than in the wet season. Water quality parameters such as Fe2+, Pb2+, NO3-, and EC have mean values greater than World Health Organization and NESREA maximum permissible standards for drinking water. Elevated values of these parameters are of great concern to public health when the water from these boreholes is consumed without treatment by people. It is recommended that well and borehole waters in this area be adequately treated before consumption using advanced inorganic removal techniques such as Nano-filtration and Reverse Osmosis to safeguard human health in the study area.Keywords: Boreholes, pollution, water quality, public health, physico-chemical

scholarly journals Study on water and soil quality parameters of shrimp and prawn farming in the southwest region of Bangladesh

2016 ◽  
Vol 13 (1) ◽  
pp. 153-160 ◽  
Author(s):  
MA Zafar ◽  
MM Haque ◽  
MSB Aziz ◽  
MM Alam
Keyword(s):  
Water Quality ◽  
Organic Carbon ◽  
Soil Quality ◽  
Total Nitrogen ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Wet Season ◽  
Ammonia Content ◽  
Phosphorous Content ◽  
Shrimp Farms

Water and soil quality parameters play a vital role for sustainable shrimp and prawn production which together is the leading exportable seafood product in Bangladesh contributing to a significant amount of foreign currency earnings. However, this sector is often negatively criticized by the consumers of importing countries for farm (locally called gher in Bengali) environment. In this context, an investigation was carried out to assess water and soil quality parameters of shrimp and prawn farms in southwest Bangladesh. This study was conducted at Dumuria and Paickgacha Upazila of Khulna district during dry and wet season in 2012. The data were collected from 9 shrimp and prawn farms and they were categorized in three different groups (as treatments) including 3 prawn (T1), 3 shrimp & prawn (T2) and 3 shrimp farms (T3). Water temperature, dissolved oxygen, pH, ammonia, nitrate, nitrite, alkalinity, salinity, total phosphorous and total hardness were measured using portable advanced HACH water quality test kit in both dry and wet season. Farm soil (sediment) quality parameters including pH, organic carbon, total nitrogen and available phosphorus were measured in the laboratory in wet season. It was found that most of the water quality parameters were in suitable range in both seasons for prawn, shrimp & prawn and shrimp farming. However, the ammonia content was 0.009 to 0.45 ppm and 0.2 to 0.6 ppm in shrimp farm during dry and wet season, respectively which was higher than the other category of farms. The higher ammonia content in shrimp farm might be due to the decomposition of aquatic weeds, organic matter, uneaten feed etc. creating stress to shrimp. Different co-relationships found between the water quality parameters in all the farming systems in the both seasons. In terms of soil quality parameters such as pH, organic carbon and total nitrogen, there was no significant difference between the farm categories. However, available phosphorous content was significantly higher in shrimp & prawn farm. Phosphorous content was found negatively correlated with pH and organic carbon content of farm sediment (soil). From the present study, it could be argued that ammonia is the main problem for shrimp farms that may cause severe disease outbreak which need to be addressed from the view point of research and development towards sustainable seafood production in Bangladesh.J. Bangladesh Agril. Univ. 13(1): 153-160, June 2015

scholarly journals Land–Lake Linkage and Remote Sensing Application in Water Quality Monitoring in Lake Okeechobee, Florida, USA

Land ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 147
Author(s):  
Mohammad Hajigholizadeh ◽  
Angelica Moncada ◽  
Samuel Kent ◽  
Assefa M. Melesse
Keyword(s):  
Water Quality ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Spatiotemporal Variability ◽  
Coefficient Of Determination ◽  
Lake Okeechobee ◽  
Wet Season ◽  
Chl A

The state of water quality of lakes is highly related to watershed processes which will be responsible for the delivery of sediment, nutrients, and other pollutants to receiving water bodies. The spatiotemporal variability of water quality parameters along with the seasonal changes were studied for Lake Okeechobee, South Florida. The dynamics of selected four water quality parameters: total phosphate (TP), total Kjeldahl nitrogen (TKN), total suspended solid (TSS), and chlorophyll-a (chl-a) were analyzed using data from satellites and water quality monitoring stations. Statistical approaches were used to establish correlation between reflectance and observed water quality records. Landsat Thematic Mapper (TM) data (2000 and 2007) and Landsat Operational Land Imager (OLI) in 2015 in dry and wet seasons were used in the analysis of water quality variability in Lake Okeechobee. Water quality parameters were collected from twenty-six (26) monitoring stations for model development and validation. In the regression model developed, individual bands, band ratios and various combination of bands were used to establish correlation, and hence generate the models. A stepwise multiple linear regression (MLR) approach was employed and the results showed that for the dry season, higher coefficient of determination (R2) were found (R2 = 0.84 for chl-a and R2 = 0.67 for TSS) between observed water quality data and the reflectance data from the remotely-sensed data. For the wet season, the R2 values were moderate (R2 = 0.48 for chl-a and R2 = 0.60 for TSS). It was also found that strong correlation was found for TP and TKN with chl-a, TSS, and selected band ratios. Total phosphate and TKN were estimated using best-fit multiple linear regression models as a function of reflectance data from Landsat TM and OLI, and ground data. This analysis showed a high coefficient of determination in dry season (R2 = 0.92 for TP and R2 = 0.94 for TKN) and in wet season (R2 = 0.89 for TP and R2 = 0.93 for TKN). Based on the findings, the Multiple linear regression (MLR) model can be a useful tool for monitoring large lakes like Lake Okeechobee and also predict the spatiotemporal variability of both optically active (Chl-a and TSS) and inactive water (nutrients) quality parameters.

scholarly journals Seasonal variation and characterization of effluents of fertilizer factory

2015 ◽  
Vol 26 (2) ◽  
pp. 136-146
Author(s):  
K Fatima ◽  
MK Hossain ◽  
MA Islam
Keyword(s):  
Water Quality ◽  
Water Samples ◽  
Quality Parameters ◽  
Mean Value ◽  
Dry Season ◽  
Chemical Parameters ◽  
Wet Season ◽  
Physico Chemical ◽  
The Mean ◽  
Nitrite Nitrate

The study was carried out to assess the water quality of the Jamuna river affected by effluents discharged from the nearby Jamuna Fertilizer Company Limited and its temporal change over wet and dry seasons due to change of the physico-chemical parameters. Effluents of the factories and water samples were collected from four different selected stations during the period of June to August 2014 and January to March 2015.The results further revealed that the water samples showed a remarkable variation in physico-chemical parameters during the wet and dry season. In wet season the mean value of temperature, pH, EC, TDS, TSS, DO, BOD, ammonium, nitrite, nitrate and chloride were28.63± 3.79 °C, 8.10± 0.85, 664.41± 599.54µscm-1, 370.91± 111.38 ppm, 74.49± 25.90 ppm, 6.11 ± 1.28 ppm, 75.39 ± 140.86 ppm 296.74± 303.03 ppm, 12.31±21.38 ppm,  15.19±24.49 ppm and 15.23±8.72 ppm, respectively In the dry season the mean value of temperature, pH, EC, TDS, TSS, DO, BOD, ammonium, nitrite, nitrate and chloride were31.69 ±3.18°C, 8.44± 0.66, 786.25±551.18µscm1, 338.37± 94.70 ppm, 72.08± 58.83 ppm, 5.45 ± 0.95 ppm, 86.93 ± 159.82 ppm, 347.91± 291.60 ppm, 13.68±23.1 ppm, 18.34± 24.92 ppm and 18.3±9.32 ppm, respectively. The comparative study showed that most of the effluent and water quality parameters were higher in dry season than those of the wet season because in dry season less quantity of water remains in the river and in wet season more water remains in river that has great dilution capacity. For existence and conservation of aquatic resources, it is essential to investigate the water quality and surrounding environment of the river.Progressive Agriculture 26 (2): 136-146, 2015

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