Md. Muhyminul Islam*
Tropical Hydrogeology and Environmental Engineering (TropHEE), Technische Universitaet Darmstadt, Darmstadt, Germany
Israth Rabeya
Environmental Science Discipline, Khulna University, Khulna, Bangladesh
Nazia Hassan
Environmental Science Discipline, Khulna University, Khulna, Bangladesh
Sadhon Chandra Swarnokar
Environmental Science Discipline, Khulna University, Khulna, Bangladesh
Masudur Rahman
Environmental Science Discipline, Khulna University, Khulna, Bangladesh
Mosummath Hosna Ara
Chemistry Discipline, Khulna University, Khulna, Bangladesh
Abul Kalam Azad
Environmental Science Discipline, Khulna University, Khulna, Bangladesh
Coastal River, Irrigation, Suitability, Salinity, SAR, % Na, FAO, Piper, USSL, Shailmari, Khulna
Shailmari River, Khulna, Bangladesh
Crop-Soil-Water Management
2.2. Sampling, Preservation, and Preparation Prior selecting the water sampling sites from a well-studied reconnaissance survey, samples were collected from 11 sampling stations based on the characterizing features of the locations along the river. Coordinates of the sampling stations were extracted in the field by using a GARMIN Geographic Positioning System (GPS) device. Samples were collected from the midstream of the river by using an engine boat and following the guidelines of standard methods [20]. Samples for cationic and anionic analyses were collected in separate 500 ml PET bottles and cationic samples were preserved by adding HCl (to pH ~ 2). Then samples were carried to the laboratory and preserved at 40C prior to laboratory analysis. Following the aforesaid procedures, samples were collected for three agricultural seasons namely Pre-monsoon (May, 2014), Monsoon (August, 2014) and Post-monsoon (October, 2014) from the similar stations throughout the study period. Tidal cycles were considered carefully and therefore, 22 samples were collected during each sampling seasons considering both of high and low tides for each station. The number of samples in total was 66.
2.3. In-Situ and Laboratory Measurements Physical parameters- pH, Dissolved Oxygen (DO), Total Dissolved Solid (TDS), and Electrical Conductivity (EC) were measured in-situ using portable pH meter, DO meter (HACH sensION156 portable) and EC/TDS meter (HANNA H1-9635) after calibration [20]. All other major ions (Na+, K+, Ca2+, Mg2+, HCO3 −, Cl−, NO3 −, 2 SO4 − and 3 PO4 − ) were analysed following the standard procedures. HCO3 − was determined tritimetrically with HCl at the sampling sites using methyl orange indicator.Sodium (Na+ ) and potassium (K+ ) were measured using GENWAY flame photometer (Model No. PEP 7 and PEP 7/C). Tritimetric methods were used for determining calcium (Ca2+), magnesium (Mg2+) and chloride (Cl−). UV-visible spectrophotometer was used to detect sulphate ( 2 SO4 −), ortho-phosphate ( 3 PO4 − ) and nitrate ( NO3 −) in the water samples [20]. Replicate analysis of blank, standards and water samples were performed during the study to achieve the precision and accuracy and kept within ±5% by repeatative anlysis after calculating the ionic balance errors.
2.4. Water Quality Indices and Classification Methods Different water quality parameters like Total Hardness (TH), TDS classes were used in the study to assess the quality of the water. In agriculture, water quality is an important criterion for the development of a successful and sustainable irrigation scheme. In order to assess the suitability of the river water for irrigation use, various parameters like percentage of sodium (Na%), sodium absorption ratio (SAR), residual sodium carbonate (RSC), permeability index (P.I.), Kelly’s index (KI), Magnesium Hazard (MH) were used in the study using the mentioned equations. Na% is a measure of salinity hazard in water and together with EC is useful in classifying the irrigation water. SAR expresses the sodium or alkali hazard in irrigation water and quantifies the relative proportions of sodium to calcium and magnesium. The amount of bicarbonate and carbonate in excess of alkaline earth metals (Ca and Mg) also affects the irrigation water quality and is quantified by calculating the residual sodium carbonate (RSC) content of the water. Permeability of the soil depends also on the quality of the irrigation water and permeability index (PI) classifies the water-based on concentrations of sodium, calcium, magnesium and bicarbonate in the water to assess its suitability for irrigation use. KI is a measure of classification of the water for irrigation and sodium is measured against calcium and magnesium to calculate this parameter. The excess of magnesium concentration in water is harmful for soil and affects plant growth. MH is used to evaluate the quality of the water-based on the quantity of magnesium in the irrigation water. Graphical methods related to water quality classifications were used in this study to further evaluate the irrigation water quality of the river system. A Piper diagram was applied to find the water classes and its dominating ions in different seasons and stations. Wilcox diagram and U.S Salinity Laboratory (USSL) classifications diagram were also applied to find the seasonal variability and suitability of the river water for irrigation.
Journal of Geoscience and Environment Protection, 2016, 4, 41-64 ISSN Online: 2327-4344 ISSN Print: 2327-4336
Journal