Water Quality Assessment of River Ganga and Chilika Lagoon using AVIRIS-NG Hyperspectral Data

Chander, Shard; Gujrati, Ashwin; Hakeem, K. Abdul; Garg, Vaibhav; Issac, Annie Maria; Dhote, Pankaj R.; Kumar, Vinay; Sahay, Arvind

doi:10.18520/cs/v116/i7/1172-1181

Cited by 23 publications

(7 citation statements)

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“…However, in actual situations, many factors affect the spectral characteristics of water, such as atmospheric conditions, satellite observation angles, water depth, suspended solids, and colored dissolved organic matter (Anji Reddy 1993 ; Doxaran et al 2002 ; Lim and Choi 2015 ). Due to the complexity of water quality remote sensing, the current water quality remote sensing is mainly limited to colored organic matter, chlorophyll, and turbidity (Gholizadeh et al 2016 ; Trinh et al 2017 ; Chander et al 2019 ; Luis et al 2019 ). Among the water quality parameters of river water, suspended solids are the easiest to observe intuitively and have quite common problems.…”

Section: Introductionmentioning

confidence: 99%

Changes in turbidity and human activities along Haihe River Basin during lockdown of COVID-19 using satellite data

Chen

Bai

et al. 2021

Environ Sci Pollut Res

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During the outbreak of the COVID-19, China implemented an urban lockdown in the first period. These measures not only effectively curbed the spread of the virus but also brought a positive impact on the ecological environment. The water quality of urban inland river has a significant impact on urban ecology and public health. This study uses Sentinel-2 visible and near-infrared band reflectance and the Normalized Difference Turbidity Index (NDTI) to analyze the water quality of the Haihe River Basin during the control period of COVID-19. It is found that during the lockdown period, the river water quality was significantly improved compared to the same period in 2019. The average NDTI of the Haihe River Basin in March decreased by 0.27, a decrease of 219.06%; in April, it increased by 0.07, that is 38.38%. Further exploration using VIIRS lights found that the brightness of the lights in the main urban area was significantly lower in February, the beginning of the lockdown. However, as the city was unblocked, the lights rose sharply in March and then recovered to normal. There is obvious asynchrony in changes between river turbidity and light. The results can help understand the impact of human activities on the natural environment. Supplementary Information The online version contains supplementary material available at 10.1007/s11356-021-15928-6.

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Section: Introductionmentioning

confidence: 99%

Changes in turbidity and human activities along Haihe River Basin during lockdown of COVID-19 using satellite data

Chen

Bai

et al. 2021

Environ Sci Pollut Res

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“…Similarly, for the water bodies, the report (Braga et al 2020 ) inferred increased water transparency in the Venice Lagoon due to reduced human activity. Water quality assessment of river Ganga and Chilika Lagoon has been presented in Chander et al ( 2019 ). Authors in Yunus et al ( 2020 ) concluded the positive impact on lake water quality is due to direct or indirect human activities during COVID-19 restrictions.…”

Section: Related Workmentioning

confidence: 99%

Air and water health: industrial footprints of COVID-19 imposed lockdown

Gupta

Jain

Virmani³

et al. 2022

Arab J Geosci

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Overall lockdown limitations toward the start of the year 2020 are credited to the annihilation and fatalities worldwide because of COVID-19. Most of the nations revealed rapid growth of COVID-19 cases and subsequently declared lockdown in several stages. Because of these lockdowns, industries had to stop producing goods other than the actual merchandise needed to survive. The air quality and natural water quality witnessed a noticeable improvement from limited human activity. This paper presents an investigation demonstrating this improvement under various lockdown periods, specifically for the Indian subcontinent. The rivers and atmosphere of Indian settings have been utilized here as a contextual analysis associated with industrial pollution. This work aims to study the associations and interrelationships between lockdowns during COVID-19 and their effect on air and water quality. The paper presents then and now an analysis of the Indian atmosphere based on various particulate matters and river health based on the biological oxygen demand, chemical oxygen demand, and dissolved oxygen. The study indicated a significant dip in air and water pollution levels and a significant improvement in the atmosphere and rivers’ quality during this period. Significant water bodies witnessed the pH level of 7.5 amidst lockdown, which is a good indicator of improved water health since the pH level of drinkable water is 7. The analysis carried out in this paper can also be mapped to other countries and landscapes of the world.

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“…[20], Kumaran et al [21], Kakani et al [22, Prabakaran et al [23] and Sundaresh et al [24]., Mishra [25]. The erratic annual climatic changes, comprising of flow reduction due to reduced precipitation in the upper and middle Mahanadi basin, and debouching of major portion of discharge (≈30%) unutilized to Bay of Bengal (BoB), Samuel A, et al, [26].The northern sector of the Chilika is fed by northern tributaries of SMD rivers contribute huge inland water and sediment and highly turbid due to sediment and resuspension due to shallowness, Chandar S. et al, [27].…”

Section: Related Workmentioning

confidence: 99%

Appraising the Impact of Naraj Barrage on Sedimentation of Chilika Lagoon; the Soft Computing Model for Prediction

Mishra

Ojha

2020

ACRI

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Estimation of suspended sediment transport in a catchment area is very important to manage water resources, construction of dam and barrage, as well as to protect the surrounding environment. The daily monsoon sediment and flow were observed physically and quantity of total sediment input by the two major rivers of the south Mahanadi deltaic rivers to Lagoon Chilika were calculated during pre Naraj barrage (FY 2000 to 2003) and post Naraj Barrage period (FY’s 2004, 2012, 2013) establishing an observatory in the rivers the Daya and the Bhargovi.[b] The non-linear complex relationship between quantity of suspended sediment transport and volume of river-discharge inflicts challenge to the estimation process. In this paper, two southern-most distributaries, the Daya and the Bhargovi of the Mahanadi River System which flow into Chilika lagoon are studied. Random Forest, an ensemble machine learning algorithm is used to estimate the transport of sediment by these two distributaries using predictive modeling. Predicted figures based on the gathered data from these distributaries during pre-barrage period 2000-2003 have been compared with the observed data gathered in post-barrage years 2004, 2012 and 2013. Comparative data suggests that the construction of Naraj barrage has significantly reduced the concentration of sediment influx into Chilika lagoon while controlling the discharge through effective barrage management.

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Water Quality Assessment of River Ganga and Chilika Lagoon using AVIRIS-NG Hyperspectral Data

Cited by 23 publications

References 0 publications

Changes in turbidity and human activities along Haihe River Basin during lockdown of COVID-19 using satellite data

Changes in turbidity and human activities along Haihe River Basin during lockdown of COVID-19 using satellite data

Air and water health: industrial footprints of COVID-19 imposed lockdown

Appraising the Impact of Naraj Barrage on Sedimentation of Chilika Lagoon; the Soft Computing Model for Prediction

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