Groundwater quality assessment of Allahabad smart city using GIS and water quality index

Pandey, H. K.; Tiwari, V.; Kumar, Saurabh; Yadav, Aniket; Srivastava, S. K.

doi:10.1007/s40899-020-00375-x

Cited by 32 publications

(15 citation statements)

References 12 publications

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“…The alkalinity was found in the range of 59-196.3mg/L, which was found within WHO's permissible limit [16]. It is reported that water having alkalinity greater than 500mg/L has an unpleasant taste [18].…”

Section: Physicochemical Propertiesmentioning

confidence: 68%

Water quality assessment of Raw and Chlorinated drinking water of a Residential University

Kamal

Hashmi

2021

NUST J. Eng. Sci.

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The safety of water is essential for life on earth. Drinking contaminated water can give rise to many health issues. Tohighlight the major causes of contamination in water, this study was carried out to determine the physicochemical andbacteriological quality of raw and chlorinated water. Raw and chlorinated water samples were obtained from three locations (zones) of a residential university (National University of Sciences and Technology, NUST). Ten physicochemicalparameters were analyzed (pH, Electrical conductivity, Turbidity, Dissolved oxygen, Hardness, Alkalinity, Total suspendedsolids, Total dissolved solids, Total organic carbon, and Chlorine (free & total)). Bacteriological analysis was performedthrough the MPN technique. The results showed that all the physicochemical parameters were found within the permissible limits set by WHO and PSDWQ for raw and chlorinated water, except TSS and Chlorine (free & total). The TSS of raw and chlorinated water ranged from 3.3-14.3mg/L and 8.7-12.7mg/L, greater than the permissible limits. The free Chlorine for both raw and chlorinated water ranged from 0.04-0.09mg/L and 0.06-0.07mg/L and total Chlorine for both raw and chlorinated water in the range 0.10-0.09mg/L and 0.22-0.24mg/L, respectively, which were far below the recommended limit required for water disinfection. The MPN index for raw and chlorinated water ranged from 23 to >23MPN/100ml and 16 to >23MPN/100ml, exceeding the permissible limits. The results concluded that the water, whether raw or chlorinated, was not fit for drinking purposes. Proper dosages of Chlorine and filtration techniques are required to make the water fit for consumption.

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Section: Physicochemical Propertiesmentioning

confidence: 68%

Water quality assessment of Raw and Chlorinated drinking water of a Residential University

Kamal

Hashmi

2021

NUST J. Eng. Sci.

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“…H. K. Pandey et al [18] suggested the GIS and water quality index for groundwater quality assessments of a smart city. A water quality index and geographic information system was used to determine groundwater samples' physico-chemical parameters for drinking purposes.…”

Section: Related Workmentioning

confidence: 99%

Internet of Things (IoT)-Based Wastewater Management in Smart Cities

2023

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Wastewater management is a mechanism that is used to extract and refine pollutants from wastewater or drainage that can be recycled to the water supply with minimal environmental effects. New methods and techniques are required to ensure safe and smart wastewater management systems in smart cities because of the present deteriorating environmental state. Wireless sensor networks and the Internet of Things (IoT) represent promising wastewater treatment technologies. The elaborated literature survey formulates a conceptual framework with an Internet of Things (IoT)-based wastewater management system in smart cities (IoT-WMS) using blockchain technology. Blockchain technology is now being used to store information to develop an incentive model for encouraging the reuse of wastewater. Concerning the quality and quantity of recycled wastewater, tokens are issued to households/industries in smart cities. Nevertheless, this often encourages tampering with the information from which these tokens are awarded to include certain rewards. Anomaly detector algorithms are used to identify the possible IoT sensor data which has been tampered with by intruders. The model employs IoT sensors together with quality metrics to measure the amount of wastewater produced and reused. The simulation analysis shows that the proposed method achieves a high wastewater recycling rate of 96.3%, an efficiency ratio of 88.7%, a low moisture content ratio of 32.4%, an increased wastewater reuse of 90.8%, and a prediction ratio of 92.5%.

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“…Turbid water will be coloured which affects the physical appearance of water 32 . High turbidity causes poor visibility and affects aquatic life 33 . Spatial analysis map of turbidity (Fig.…”

Section: Fig 7 Spatial Distribution Of Tpmentioning

confidence: 99%

“…TDS exceeded the desirable limit 500 mg/L of the water samples, but 88% of the samples met the permissible level designated by WHO standards 7 . Excessive TDS in water disrupt ecological balance and cause suffocation of the aquatic fauna and can lead to constipation effects 33,35 . The samples S 3 , S 5 , S 6 , S 9 , S 15 and S 16 were above the permissible limit and the remaining samples were below 500 mg/L.…”

Section: Fig 7 Spatial Distribution Of Tpmentioning

confidence: 99%

Assessment of Water Quality Using Modified Water Quality Index and Geographical Information System in Madathukulam Taluk, Tiruppur District, Tamil Nadu, India

Chitradevi

Jeyaraj²,

Ghadamode

et al. 2021

Orient. J. Chem

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The present investigation is an extensive study of surface and ground water quality of Madathukulam taluk, Tiruppur District, Tamil Nadu, India, to estimate the quality of water using Modified Water Quality Index (MWQI) and Geographic Information System (GIS) technique. In this study 35 water samples from Open well, Bore well, River, Lake and Pond were analysed for the physicochemical parameters like pH, temperature, total phosphate, total nitrate, turbidity, total dissolved solids, dissolved oxygen, biological oxygen demand, faecal coliform, electrical conductivity, total hardness, chloride, fluoride, sodium and potassium. The resulting values were computed to investigate the quality of water using geographic information system and water quality index and compared with the standard drinking water guidelines proposed by the WHO (2017) and BIS (2012) for drinking and agricultural purpose. Inverse distance weighted (IDW) interpolation technique was used for preparing the spatial distribution maps for each physiochemical parameter. The analytical result signifies that 40% of the study areas are slightly acidic. GIS based water quality index shows that 63% of the area has recorded with good quality water, while the remaining 37% are of medium quality of water. The MWQI proved to be a useful method to classify the water similar to NSF-WQI in Madathukulam Taluk.

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Groundwater quality assessment of Allahabad smart city using GIS and water quality index

Cited by 32 publications

References 12 publications

Water quality assessment of Raw and Chlorinated drinking water of a Residential University

Water quality assessment of Raw and Chlorinated drinking water of a Residential University

Internet of Things (IoT)-Based Wastewater Management in Smart Cities

Assessment of Water Quality Using Modified Water Quality Index and Geographical Information System in Madathukulam Taluk, Tiruppur District, Tamil Nadu, India

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