Geospatial Based Citizen Centric Water Quality Measurement Solution

Oberoi, K.; Purohit, Suchit; Verma, Prabhakar Alok; Deshmukh, Abhijit; Saran, Sameer; Chauhan, Prakash

doi:10.5194/isprs-archives-xlii-5-75-2018

Cited by 3 publications

(2 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Constant efforts by government in the last few decades has improved awareness and public interest in the issues faced by rivers (Hasan, 2015). Citizen science is not only gaining popularity but also proving to be effective in water quality monitoring, pollution abatement, plantation geotagging and biodiversity monitoring (Dwivedi, 2021;Kumar, Sinha, & Kanaujia, 2019;Oberoi et al, 2018). The last few years have echoed demands for 'e-flow' regulations to be formalized and regularized to maintain healthy river conditions with adequate amount of water retained in the rivers while meeting the populations demand for water supply.…”

Section: Figure 1 Study Area Of Ganga River Basinmentioning

confidence: 99%

Development of a Google Earth Engine Based Application to Monitor the Seasonal Water Spread Area of River Ganga

Tripathi

Ramachandran

Hussain

et al. 2022

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

Abstract. The National River Ganga, home to the National aquatic animal, Gangetic dolphin along with species of critically endangered otters, gharial crocodile, turtles, waterbirds and numerous aquatic and semi aquatic life forms is of conservation importance to safeguard the biodiversity it harbors. Meanwhile, River Ganga is also the source of highly productive agricultural yield that satiates the nation’s food demands. The last few years have echoed demands for ‘e-flow’ regulations to be formalized and regularized to maintain healthy river conditions with adequate amount of water retained in the rivers while meeting the populations demand for water supply. Though e flow estimations are a complex science in itself, the simplest way is visualization. In this context, there needs to be a transparent mechanism to picturise and depict the ground conditions of the river stretches. Remote sensing provides ‘eyes in the sky’. The river receives water in the form of precipitation, snow melt and ground water recharge and the hydrological flux is evident in the surface water. Thus delineating the water spread area can provide a crude estimate of the water in the river. The Google Earth Engine platform provides a collection of satellite imageries, server side data processing and algorithms. The Landsat and Sentinel data catalogue offers good coverage of the river and its basin. Though sentinel data provides high ground resolution of 10m, Landsat provides multi temporal historic coverage at a good 30 m resolution, that works well for the main stem river. From the various available data processing methods, spectral decomposition technique of Modified Normalised Differential Water Index MNDWI was found to be most effective in delineating surface water. Data was filtered for the three major seasons of Pre monsoon, Monsoon and Post monsoon periods and MNDWI for the same was visualized. While Middle Ganga region through Uttar Pradesh shows seasonal flooding during the monsoon period, the Lower Ganga after the confluence of major tributaries of Son, Ghaghra, Gandak and Kosi flows in full bank width in the Post monsoon period. During the pre monsoon period many stretches of Ganga particularly the Upper middle stretch showed thin shallow channel and intermittent deep pools disconnected by dry sand beds. These regions result in disruption in the river flow and are priority sites to implement e flow regulations. Another key factor is the regulation of flow in the river from barrages. Sudden release of water can cause flooding resulting in disturbance to the life cycle of species that are tuned to the natural annual hydrological pulse of the river. This is because different aquatic species have different river width and depth requirements. Thus monitoring the seasonal variations in the water spread area helps to note the longitudinal and lateral connectivity of the river which is a prime characteristic for the health of a river. This study intended to create an application that offers to visualize the seasonal water spread in the Ganga river for the past years that can assist decision makers to monitor the river and make informed regulatory measures.

show abstract

Section: Figure 1 Study Area Of Ganga River Basinmentioning

confidence: 99%

Development of a Google Earth Engine Based Application to Monitor the Seasonal Water Spread Area of River Ganga

Tripathi

Ramachandran

Hussain

et al. 2022

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

show abstract

“…Realising that none of the applications for water quality monitoring are open-source ones, SIMILE team designed a new free, open-source application with the option for the users as well as the developers to customise and improve it. Oberoi et al (2018) call the citizen scientists as "sensors" who can supplement advents in internet and mobile technology. Location sensors (GPS) and cameras on board the mobile devices equip the citizens to collect geotagged data and store them.…”

Section: Introductionmentioning

confidence: 99%

Citizen Scientists Contribute to Real-Time Monitoring of Lake Water Quality Using 3D Printed Mini Secchi Disks

et al. 2021

View full text Add to dashboard Cite

Citizen science aims to mobilise the general public, motivated by curiosity, to collect scientific data and contribute to the advancement of scientific knowledge. In this article, we describe a citizen science network that has been developed to assess the water quality in a 100 km long tropical lake-estuarine system (Vembanad Lake), which directly or indirectly influences the livelihood of around 1.6 million people. Deterioration of water quality in the lake has resulted in frequent outbreaks of water-associated diseases, leading to morbidity and occasionally, to mortality. Water colour and clarity are easily measurable and can be used to study water quality. Continuous observations on relevant spatial and temporal scales can be used to generate maps of water colour and clarity for identifying areas that are turbid or eutrophic. A network of citizen scientists was established with the support of students from 16 colleges affiliated with three universities of Kerala (India) and research institutions, and stakeholders such as houseboat owners, non-government organisations (NGOs), regular commuters, inland fishermen, and others residing in the vicinity of Vembanad Lake and keen to contribute. Mini Secchi disks, with Forel-Ule colour scale stickers, were used to measure the colour and clarity of the water. A mobile application, named “TurbAqua,” was developed for easy transmission of data in near-real time. In-situ data from scientists were used to check the quality of a subset of the citizen observations. We highlight the major economic benefits from the citizen network, with stakeholders voluntarily monitoring water quality in the lake at low cost, and the increased potential for sustainable monitoring in the long term. The data can be used to validate satellite products of water quality and can provide scientific information on natural or anthropogenic events impacting the lake. Citizens provided with scientific tools can make their own judgement on the quality of water that they use, helping toward Sustainable Development Goal 6 of clean water. The study highlights potential for world-wide application of similar citizen-science initiatives, using simple tools for generating long-term time series data sets, which may also help monitor climate change.

show abstract

Spatial variation analysis of groundwater quality for irrigation purpose using GIS

Mageshkumar,

Ahmad Wani,

Hariprasath

et al. 2023

Materials Today: Proceedings

View full text Add to dashboard Cite

Geospatial Based Citizen Centric Water Quality Measurement Solution

Cited by 3 publications

References 6 publications

Development of a Google Earth Engine Based Application to Monitor the Seasonal Water Spread Area of River Ganga

Development of a Google Earth Engine Based Application to Monitor the Seasonal Water Spread Area of River Ganga

Citizen Scientists Contribute to Real-Time Monitoring of Lake Water Quality Using 3D Printed Mini Secchi Disks

Spatial variation analysis of groundwater quality for irrigation purpose using GIS

Contact Info

Product

Resources

About