Microplastic Vulnerability in the Sediments of the Sabarmati River of India

Author(s):  
Arbind Kumar Patel ◽  
Chandrasekhar Bhagat ◽  
Kaling Taki ◽  
Manish Kumar
Keyword(s):  
2021 ◽  
Author(s):  
Siddhartha Sarkar ◽  
Ajayeta Rathi ◽  
Sanjeev Kumar

<p>Recent decades have witnessed large scale modifications in the natural flow regime of river systems. What follows are shifts in various instream processes that ultimately govern the air-water fluxes of major greenhouse gases (GHGs) like CH<sub>4</sub>, CO<sub>2</sub>, and N<sub>2</sub>O. However, due to paucity of data, the process dynamics and controls on fluxes of GHGs in tropical rivers are understudied, contributing to uncertainty in their global budget. In this study, an attempt was made to estimate the fluxes of GHGs and thereby decipher the controls on evasive processes in an anthropogenically affected Sabarmati River (catchment ~ 27,674 km<sup>2</sup> and channel length ~371 km) located in semi-arid western India. After originating from a relatively pristine region, Sabarmati passes through a major twin city (Ahmedabad-Gandhinagar), where construction of a riverfront resulted in increased residence time of water within the city limits.</p><p>To compare and understand changes in in-stream biogeochemical processes as a result of human interventions, sampling was carried out at 50 sites along the Sabarmati river continuum and a parallel running, but not so anthropogenically modified, Mahi River along with their tributaries. Results indicated relatively lower fluxes of GHGs in pristine upstream of Sabarmati and Mahi River continuum with CH<sub>4</sub>, CO<sub>2</sub> and N<sub>2</sub>O fluxes at 0.99 ± 0.35 mg C m<sup>-2 </sup>d<sup>-1</sup>, 4250.99 ± 477.74 mg C m<sup>-2 </sup>d<sup>-1 </sup>and 0.055 ± 0.026 mg N m<sup>-2 </sup>d<sup>-1</sup> respectively. The effect of higher residence time of water could be seen in the riverfront with increased CH<sub>4 </sub>and N<sub>2</sub>O fluxes at 3.27 ± 1.02 mg C m<sup>-2 </sup>d<sup>-1 </sup>and 0.129 ± 0.024 mg N m<sup>-2 </sup>d<sup>-1</sup>, respectively. However, the CO<sub>2</sub> flux did not show much increase. The fluxes increased significantly post city limits until its mouth in the Arabian Sea with extremely large flux for methane (CH<sub>4</sub>: 102.84 ± 41.32 mg C m<sup>-2 </sup>d<sup>-1</sup>, CO<sub>2</sub>: 9563.58 ± 1252.43 mg C m<sup>-2 </sup>d<sup>-1</sup>, and N<sub>2</sub>O: 0.16 ± 0.11 mg N m<sup>-2 </sup>d<sup>-1</sup>, respectively). Overall, it appeared that even within the anthropogenically stressed river, the nature of flow regime, exerts significant control on cycling of elements leading to differential fluxes. Also, the level of coupling between nitrogen and carbon appeared to change within the course of the river.</p>


2021 ◽  
Author(s):  
sejal chandel ◽  
suvarna shah

<p>In recent study, Gujarat has become one of the India’s most urbanized state, causing severe flash flooding. The Sabarmati river is one of the major west-flowing rivers in India and biggest river of north Gujarat.Urbanization should meet the population’s need by enlargement of paved areas, which has unusually changed the catchment’s hydrological and hydraulic characteristic. Therefor, the frequency of flash flooding in Sabarmati river has been increased. The Sabarmati river basin experienced eight times devastating flooding coendition between 1972 to 2020.Among which July 2017 flooding event breakdown a 112 years old record of 1905. The Dharoi dam and Wasna barrage on Sabarmati river and surrounding district Kheda, Mehsana, Gandhinagar, Ahmedabad received a huge rainfall caused anomalous inflow to tributary which forced the dam authorities to release huge discharge in short duration which leads to flooding. The Sabarmati riverfront of Ahmedabad had been going under water for five days due incessant rainfall in the city that leads to swelling of the Sabarmati river in 2017. In order to determine extent of Inundation, Hydrodynamic Model HEC-RAS(5.0.6) with Arc GIS was used. Various scenarios were run with HEC-RAS to study the impact of flow simulation on flood inundation(with & without riverfront project). The simulated flood depths have been compared with actual depths obtained at gauging station, which were collected from Government authorities. Ultimately, the analysis was used to create maps for different return periods with RAS Mapper and ArcMap that visually show the reach of the floodplains, illustrating the affected areas. Results demonstrate the usefulness of  modelling system to predict the extent of flood inundation and thus support analyses of management strategies to deal with risk associated with infrastructure in an urban setting.</p>


2013 ◽  
Vol 186 (4) ◽  
pp. 2231-2242 ◽  
Author(s):  
Soumya Haldar ◽  
Subir Kumar Mandal ◽  
R. B. Thorat ◽  
Sangita Goel ◽  
Krushnakant D. Baxi ◽  
...  

2012 ◽  
Vol 2 (3) ◽  
pp. 81-82
Author(s):  
Bhavikkumar Ganeshbhai Patel ◽  
◽  
Ravi Sureshkumar Panchal

2017 ◽  
Vol 454 ◽  
pp. 1-14 ◽  
Author(s):  
Sarda Thokchom ◽  
Falguni Bhattacharya ◽  
A. Durga Prasad ◽  
N.N. Dogra ◽  
B.K. Rastogi

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