scholarly journals Assessment of ground water quality of lahar block, Bhind district in Madhya Pradesh

2015 ◽  
Vol 3 (2) ◽  
pp. 38 ◽  
Author(s):  
Shashi Kant ◽  
Y.V. Singh ◽  
Lokesh Kumar Jat ◽  
R. Meena ◽  
S.N. Singh
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
Ground Water ◽  
Irrigation Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Madhya Pradesh ◽  
Irrigation Water Quality ◽  
Irrigation Water Quality Index

<p>In sustainable groundwater study, it is necessary to assess the quality of groundwater in terms of irrigation purposes. The present study attempts to assess the groundwater quality through Irrigation Water Quality Index (IWQI) in hard-rock aquifer system and sustainable water use in Lahar block, Bhind of district, Madhya Pradesh, India. The quality of ground water in major part of the study area is generally good. In order to understand the shallow groundwater quality, the water samples were collected from 40 tube wells irrigation water. The primary physical and chemical parameters like potential Hydrogen (pH), Total Dissolved Solids (TDS), calcium (Ca<sup>2+</sup>), magnesium (Mg<sup>2+</sup>), sodium (Na<sup>+</sup>), potassium (K<sup>+</sup>), bicarbonate (HCO<sub>3</sub><sup>-</sup>), carbonate (CO<sub>3</sub><sup>2-</sup>), chloride (Cl<sup>-</sup>), and nitrate (NO<sub>3</sub><sup>-</sup>) were analyzed for (irrigation water quality index ) IWQI. The secondary parameters of irrigation groundwater quality indices such as Sodium Adsorption Ratio (SAR), Sodium Soluble Percentage (SSP), Residual Sodium Carbonate (RSC), Permeability Index (PI), and Kellies Ratio (KR) were also derived from the primary parameter for irrigation water quality index (IWQI). The IWQI was classified into excellent to unfit condition of groundwater quality based on their Water Quality Index (WQI). The IWQI (82.5%+15.0%) indicate that slightly unsustainable to good quality of ground water. Due to this quality deterioration of shallow aquifer, an immediate attestation requires for sustainable development.</p>

scholarly journals Irrigation groundwater quality based on hydrochemical analysis of Nandgaon block, Nashik district in Maharashtra

2017 ◽  
Vol 5 (1) ◽  
pp. 1 ◽  
Author(s):  
Kailash Aher ◽  
Sharad Gaikwad
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
Irrigation Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Shallow Aquifer ◽  
Total Hardness ◽  
Irrigation Water Quality ◽  
Irrigation Water Quality Index

To identify the sources and quality of groundwater, the water samples were collected from 52 dug wells irrigation water in an area of 1089.82km2 and were analyses for pH, Conductivity, total dissolved solids, Calcium, Magnesium, Sodium, potassium, total hardness, Alkalinity (CO32−, HCO3−), sulphate, chloride, nitrate and fluoride to understand the (irrigation water quality index ) IWQI, The         secondary parameters of irrigation groundwater quality indices such as Sodium adsorption ratio (SAR), Residual sodium carbonate (RSC), Kelley’s ratio (KR), Sodium soluble percent (SSP), Permeability index (PI),Magnesium adsorption ratio (MAR),and CRI       (Corrosively ratio index) were calculated from the primary parameter for irrigation water quality index (IWQI). The IWQI was classified into excellent to unfit condition of groundwater quality based on their Water Quality Index (WQI). The IWQI (88%+12%) indicate that slightly unsustainable to good quality of ground water. But due to this quality deterioration of shallow aquifer, an immediate attestation requires for sustainable development.

scholarly journals Multivariate Analysis to Assess the Quality of Irrigation Water in a Semi-Arid Region of North West of Algeria : Case of Ghrib Dam

2021 ◽  
Author(s):  
FAIZA HALLOUZ ◽  
Mohamed Meddi ◽  
Salaheddine Ali Rahmani
Keyword(s):  
Water Quality ◽  
Irrigation Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Principal Component ◽  
Sodium Absorption ◽  
Irrigation Water Quality ◽  
North West ◽  
Irrigation Water Quality Index

Abstract Dams are critical to agriculture, industry, and the needs of humans and wildlife. This study evaluates the water quality of the Ghrib dam in north west of Algeria, using Irrigation Water Quality Index (IWQI), sodium absorption rates (SAR) and multivariate statistical methods (Clustering and principal component analysis). The study concerns the analysis of physical and chemical parameters (pH, EC, O2, TUR, Ca, Mg, HCO3, Na, K, BOD, DCO, Cl−, PO4, SO3. NH4 et NO3) which were measured at twelve selected points along the dam over 8 periods (dry and wet periods) using standard methods. Irrigation Water Quality Index values in the dam were found to be between 41 and 59, according to classifications for different water uses, values below 60 indicate that water is of poor quality for irrigation and treatment is recommended to make dam water more suitable for irrigation. The results of water analysis in our study area reveal the presence of acute pollution which is certainly caused by direct releases of either industrial or domestic origin, and we note that this pollution remains variable depending on the collection periods. Also, Chloride-calcium and sulfate facies are the most dominant in sampling periods for dam water, resulting in poor water quality for irrigation. In addition, water is, therefore, highly mineralized and is likely to be suitable for irrigation of certain species (cucumbers...) that are well tolerant to salt and on well-drained and leached soils.

scholarly journals EVALUATION OF IRRIGATION WATER Quality INDEX (IWQI) FOR MAIN IRAQI RIVERS (TIGRIS, EUPHRATES, ShATT AL-ARAB AND DIYALA)

2017 ◽  
Vol 48 (4) ◽  
Author(s):  
Saloom & Oleiwi
Keyword(s):  
Water Quality ◽  
Irrigation Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Quality Data ◽  
Irrigation Water Quality ◽  
The Impact ◽  
Quality Of Irrigation Water ◽  
Irrigation Water Quality Index

As a result of different quality standards for irrigation water and the varying ion composition, and the fact that classification of irrigation water consists of large and complex data, this study was conducted in order to find a way for combining the complex water quality data into a single value, a quality of irrigation water index (IWQI) which reflects the suitability of the water quality for irrigation. Irrigation water quality variables were divided into five groups according to Food and Agriculture Organization FAO guide. The order of the parameters were, Salinity expressed in electrical conductivity (EC), Sodium adsorption ratio (SAR), Toxicity of specific ions (boron, chloride, sodium, Toxic trace elements and Miscellaneous effects on sensitive crops (nitrates and bicarbonates and pH). Linear equations of each variable and the formulation of mathematical equations had been done to convert the actual concentration values in the classification adopted to estimate the values of the indicators (sub-indices) and then converting the actual values and different units for each variable to the estimated values under the general scheme consists of grades between (0 -100). For the purpose of calculating irrigation water quality index, a software was originated entitled IWQI program was applied to the data of the irrigation water samples for eighteen (18) locations of water sampling in the rivers: Tigris, Euphrates, Diyala and Shatt al-Arab. Results showed that the values of irrigation water quality index for the period March to December 2015 of the Tigris River were highest than the values of Euphrates River at all locations from the north to the south as it was estimated 94.38 and 88.6 in Muthana bridge site (Tigris) and sader Al- Yusufiya (Euphrates), respectively in Baghdad and reached 74.55 and 67.78 in Qurna (Tigris) and Qurna (Euphrates), respectively. Irrigation water quality index of Shatt al-Arab was at the site of Altnoma 39.78 and classified as almost unsuitable. In Diyala River, it has been observed that the impact of Rustumiya weste water station in reducing the quality of irrigation water quality index was relatively low and water in the two sites (before and after Rustumiya station) are classified as moderately suitable.

scholarly journals New Regression Model for Estimating Irrigation Water Quality Index

2021 ◽  
Vol 16 (2) ◽  
pp. 127-134
Author(s):  
Riyadh Jasim Mohammed Al-Saadi ◽  
Abdul Khider Aziz Mutasher ◽  
Aysar Tuama Al-Awadi
Keyword(s):  
Water Quality ◽  
Salt Tolerance ◽  
Regression Model ◽  
Irrigation Water ◽  
Water Quality Index ◽  
Quality Index ◽  
High Salt ◽  
Irrigation Water Quality ◽  
High Salt Tolerance ◽  
Irrigation Water Quality Index

The common tool to evaluate the groundwater quality is so-called the Irrigation Water Quality Index (IWQI). In the present study, the IWQI model developed by Meireles is used to assess the quality of groundwater in Karbala - Najaf plateau, Iraq. The quality parameters that collected from groundwater tests of 78 wells in the study area are; EC, Na+1, Mg+2, Ca+2, Cl-1, and HCO3-1. The SPSS software program is employed to develop a non-linear regression model of the IWQI for the study area. The results show that the IWQI values for 90% of groundwater wells fall within the Severe Restriction (SR) category, which means that it’s only suitable for irrigation of high salt tolerance crops. While its remaining 10% of the wells are in the High Restriction (HR) category, and this means it is suitable for irrigation of moderate to high salt tolerance crops. The calibration and validation for the developed model presented that this model has a good estimation of the IWQI values. Due to flexible and unbiased, the current study recommends to use the proposed model to estimate the IWQI.

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