Evaluation of water quality index for River Sabarmati, Gujarat, India

Shah, Kosha A.; Joshi, Geeta S.

doi:10.1007/s13201-015-0318-7

Cited by 188 publications

(86 citation statements)

References 14 publications

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“…It also controls the rate of chemical and biochemical reaction in the water. It is also an important factor that affects water dissolved oxygen (DO) [27].…”

Section: Results and Discussion Water Physico-chemical Qualitymentioning

confidence: 99%

Monitoring Water Quality Using Biotic Indices of Benthic Macroinvertebrates along Surfaces Water Ecosystems in Some Tourism Areas in East Java, Indonesia

Wimbaningrum

Indriyani

Retnaningdyah

et al. 2016

JITODE

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The research aimed to monitor surface water quality by using water quality index NSF-WQI and accurate biotic index of benthic macroinvertebrate. This study was conducted in September to November 2012 in some water tourism destinations in three regencies, i.e. Jember (three sites), Pasuruan (one site), and Malang (one site), East Java, Indonesia. Each site consisted of three stations (upstream, middlestream and downstream). Reference upstream and middlestream were located in the Meru Betiri National Park (MBNP) Jember. Water quality and benthic macroinvertebrates sampling were conducted in each site. While physical-chemical data consisted of TDS, DO, pH, NO 3 -N, TP and temperature were analyzed to determine the NSF-WQI index. Macrozoobenthic data were analyzed to determine three diversity indices and 11 biotic indices. Results showed that based on parameter of DO, TP, NO 3 -N, TDS and pH, water quality in downstreams were generally lower than upstreams. Upstream to middlestreams of two sites in Jember were good to excellent based on NSF-WQI water quality and biotic indices. Therefore, the water were qualified as drinking water resources and also served as safe recreational water. The accurate biotic indices to surface water quality in this study were % EPT, ASPT, HBI, FBI and % Gastropodes.

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“…It also controls the rate of chemical and biochemical reaction in the water. It is also an important factor that affects water dissolved oxygen (DO) [27].…”

Section: Results and Discussion Water Physico-chemical Qualitymentioning

confidence: 99%

Monitoring Water Quality Using Biotic Indices of Benthic Macroinvertebrates along Surfaces Water Ecosystems in Some Tourism Areas in East Java, Indonesia

Wimbaningrum

Indriyani

Retnaningdyah

et al. 2016

JITODE

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“…Although public information is limited, it can be assumed that groundwater levels are declining with several metres per year and, as a consequence, the remaining groundwater reserves are salinizing (Gupte 2011). Moreover, empirical measurements of the river water quality in the vicinity of Ahmedabad indicate that the water quality is moderate to bad (Prajapati 2014;Shah and Joshi 2015).…”

Section: Outcomes Of Trends Pressures and Integrated Water Resourcesmentioning

confidence: 99%

“…Surface water of the Sabarmati River is of low quality because of insufficient sewage treatment capacity. High levels of organic load confirm the discharge of untreated domestic sewage and industrial wastewater in the river (Prajapati 2014;Shah and Joshi 2015). Interviews with stakeholders showed that none of the interviewees could name recent penalised activities or sanctioned non-compliance regarding wastewater.…”

Section: Implementing Capacitymentioning

confidence: 99%

Connecting water science and policy in India: lessons from a systematic water governance assessment in the city of Ahmedabad

et al. 2018

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Cities in the Global South are facing high climate vulnerabilities. Still, systematic insights in factors that stimulate or impede governance capacity are less widely available than those in the Global North. Moreover, translating relevant scientific insights into policy and practice is often problematic. Hence, there is a need for feasible interactive approaches that may facilitate integration between science and policy. In this paper, we assess to what extent the City Blueprint Approach may facilitate such meaningful science-policy interaction. This approach has been developed in the context of Watershare and the European Innovation Partnership on Water. We discuss the content of the approach and reflect on the process of applying it in the case of Ahmedabad, India. First, we carried out an overall assessment of Ahmedabad's trends, pressures, and integrated water resources management. Important challenges of Ahmedabad are water pollution, water scarcity (decline of groundwater levels), heat risk and urbanisation. Second, a governance capacity assessment provided a clearer understanding of the main enabling and limiting conditions that determine the city's ability to govern these challenges. It was found that the governance conditions regarding learning, stakeholder engagement and implementing capacity are most in need of improvement. Next, we zoomed in on a specific development in which these limiting governance conditions were better developed: Ahmedabad's Heat Action Plan. Based on our results and experiences, we reflect on the generalisability of the findings on the City Blueprint Approach (CBA)'s usefulness for improving science-policy interactions and water governance to India as well as the Global South more generally.

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“…These pollutants alter the physio-chemical characteristics of aquatic ecosystem because it has high concentration of BOD and TDS which cause rapid depletion of oxygen in water. It is estimated that every year, millions of tons of waste in the form of industrial waste, agricultural waste and urban waste water is dumped into the river, thus making the water from the river unusable and requires frequent quality checks (Shah and Joshi 2017;Kaur et al 2017;Parmar and Bhardwaj 2014;Loganathan and Ahamed 2017). In India, the water quality check is carried under the careful monitoring of Central Pollution Control Board (CPCB) (Nagar 2007).…”

Section: Introductionmentioning

confidence: 99%

“…WQI is a rating technique used to check the overall water quality as a single term. It is useful in selection of appropriate treatment technique to solve the concerned issue (Shah and Joshi 2017).…”

Section: Introductionmentioning

confidence: 99%

Real-time water quality monitoring through Internet of Things and ANOVA-based analysis: a case study on river Krishna

et al. 2019

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In this paper, an attempt has been made to develop a statistical model based on Internet of Things (IoT) for water quality analysis of river Krishna using different water quality parameters such as pH, conductivity, dissolved oxygen, temperature, biochemical oxygen demand, total dissolved solids and conductivity. These parameters are very important to assess the water quality of the river. The water quality data were collected from six stations of river Krishna in the state of Karnataka. River Krishna is the fourth largest river in India with approximately 1400 km of length and flows from its origin toward Bay of Bengal. In our study, we have considered only stretch of river Krishna flowing in state of Karnataka, i.e., length of about 483 km. In recent years, the mineral-rich river basin is subjected to rapid industrialization, thus polluting the river basin. The river water is bound to get polluted from various pollutants such as the urban waste water, agricultural waste and industrial waste, thus making it unusable for anthropogenic activities. The traditional manual technique that is under use is a very slow process. It requires staff to collect the water samples from the site and take them to the laboratory and then perform the analysis on various water parameters which is costly and time-consuming process. The timely information about water quality is thus unavailable to the people in the river basin area. This creates a perfect opportunity for swift real-time water quality check through analysis of water samples collected from the river Krishna. IoT is one of the ways with which real-time monitoring of water quality of river Krishna can be done in quick time. In this paper, we have emphasized on IoTbased water quality monitoring by applying the statistical analysis for the data collected from the river Krishna. One-way analysis of variance (ANOVA) and two-way ANOVA were applied for the data collected, and found that one-way ANOVA was more effective in carrying out water quality analysis. The hypotheses that are drawn using ANOVA were used for water quality analysis. Further, these analyses can be used to train the IoT system so that it can take the decision whenever there is abnormal change in the reading of any of the water quality parameters.

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Evaluation of water quality index for River Sabarmati, Gujarat, India

Cited by 188 publications

References 14 publications

Monitoring Water Quality Using Biotic Indices of Benthic Macroinvertebrates along Surfaces Water Ecosystems in Some Tourism Areas in East Java, Indonesia

Monitoring Water Quality Using Biotic Indices of Benthic Macroinvertebrates along Surfaces Water Ecosystems in Some Tourism Areas in East Java, Indonesia

Connecting water science and policy in India: lessons from a systematic water governance assessment in the city of Ahmedabad

Real-time water quality monitoring through Internet of Things and ANOVA-based analysis: a case study on river Krishna

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