Fish larval transport in a macro-tidal regime: Gulf of Kachchh, west coast of India

George, Grinson; Vethamony, P.; Sudheesh, K.; Babu, M.T.

doi:10.1016/j.fishres.2011.04.002

Cited by 18 publications

(13 citation statements)

References 32 publications

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“…As aforementioned, Jirau reservoir is a run-of-river project and, therefore, it preserves the reservoir continues to present fluvial behavior of the Madeira River. In this case, the use of a 2-D hydrodynamic modeling is therefore justified for eggs and fish larvae transport simulation, see, for instance, [31,49]. For Lagrangian tracking simulations, we considered the same mesh and time steps used in the hydrodynamic model.…”

Section: Modeling Fish Eggs and Larval Transportmentioning

confidence: 99%

“…Since fish eggs and larvae have weak swimming abilities, for our proposes, we consider them as passive particles. As [74] observe, fish eggs and larvae drifting in rivers are influenced by many factors, including water temperature, discharge rate, life stage, and most importantly on local hydrodynamic features [31,43]. Hydrodynamic conditions, especially currents direction and speeds, have a strong influence on the retention and dispersal of eggs and larvae.…”

Section: Introductionmentioning

confidence: 99%

“…The advantage of considering a Lagrangian modeling approach is the possibility of identifying trajectories of selected particles, which allow us to determine their destination in the river domain [49]. A similar methodology was used in other studies to simulate the larvae transport under different conditions, see, for instance, [30,31,48,64]. Despite many studies report the use of particles tracing approaches method for understanding the drift of the fish eggs and larvae, the application of this method in world's large rivers is scarce [45,65].…”

Section: Introductionmentioning

confidence: 99%

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A study on fish eggs and larvae drifting in the Jirau reservoir, Brazilian Amazon

Barros

Rosman

2018

J Braz. Soc. Mech. Sci. Eng.

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Jirau hydropower plant (Jirau HPP) is one of the largest scale run-of-river hydro-projects in the Madeira River, Brazilian Amazon. This project has attracted strong national and international attention, especially with respect to environmental issues, because the Madeira River supports a diverse fish species. Many of these are migratory species and impact the reproductive stocks of the fishes that live in the Amazon River. Numerical simulations to predict fish eggs and larvae drift have been scarce in hydropower plant studies in the Amazonian rivers. In this paper, we investigate the fish eggs and larvae drifting behavior in the backwater of the Jirau HPP. The model used simulates the fish eggs as passive particles, and adopts a second-order Lagrangian scheme coupled with a hydrodynamic model of SisBaHiA. The results obtained show that the transport of fish eggs in the Jirau reservoir is controlled mainly by hydrodynamic and the morphology of the run-of-river reservoir and that the fish eggs and larvae in the reservoir have a short residence time, and that the drift is continuing and unhindered. We observe, however, more studies are needed to have a whole understanding of eggs and larvae drifting in the Jirau reservoir.

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Section: Modeling Fish Eggs and Larval Transportmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A study on fish eggs and larvae drifting in the Jirau reservoir, Brazilian Amazon

Barros

Rosman

2018

J Braz. Soc. Mech. Sci. Eng.

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“…It uses the Lagrangian random-walk technique to track the movement of the particles released, and the same can be effectively utilized for tracking the retention or dispersion of hypothetical larvae released within the domain (Stephens et al 2006;George et al 2011;Chetan Gaonkar et al 2012).…”

Section: Larval Transport Modellingmentioning

confidence: 99%

Barnacle larval transport in the Mandovi–Zuari estuarine system, central west coast of India

et al. 2013

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A two-dimensional hydrodynamic and particle tracking model was used to estimate the dispersion and retention of barnacle larvae from their possible spawning sites in a tropical monsoon-influenced estuarine system (central west coast of India). Validation of the hydrodynamic simulations yielded a good match with field measurements. The pattern of larval dispersal in the region varied with the winds and currents. The seasonal changes in abundance could be attributed to physical forcing and weather conditions. The extent of barnacle larval dispersal from spawning sites varied from 10 to 78 km for different sites and seasons. During a 24-h cycle, the larval abundance showed one to two peaks in the estuarine area. The increased larval abundance is favored by the flood currents, pushing the larvae into the estuary. Physical forcing in the region helps in transport of the larvae from their spawning sites hugging to the coast and contributing to the population within the estuary. Field observations and numerical experiments suggest the occurrence of higher larval abundance in the estuary during post-monsoon. The dispersal pattern indicated that the barnacle population present in the estuary is well mixed, and with a seasonally changing pattern.

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“…MIKE21 HD is a hydrodynamic model developed by Danish Hydraulic Institute, Water & Environment . MIKE21 has regularly been used as a tool to model hydrodynamic problems of various complexities . The model has been used earlier to study the circulation characteristics off Mumbai during an extreme event , modeling of tide driven currents and eddies and residence time of pollutants in Gulf of Kachchh along west coast of India.…”

Section: Introductionmentioning

confidence: 99%

Waste Assimilative Capacity of Coastal Waters along Mumbai Mega City, West Coast of India Using MIKE‐21 and WASP Simulation Models

VishnuRadhan

Vethamony

Zainudin

et al. 2013

CLEAN Soil Air Water

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Coastal waters are the ultimate receivers of the organic waste materials generated by upstream cities and towns. This waste can cause dissolved oxygen depletion due to increased oxygen demand, affecting the natural ability of water bodies to withstand certain amount of pollution – the waste assimilative capacity. The pollution load (biochemical oxygen demand) calculated using the population equivalent value of 0.225 m3/day for the present Mumbai population of 13 million is 731 250 kg/day. Simulations using MIKE‐21 and WASP models along with the observed water quality data as well as current meter data indicated that the coastal waters can withstand the present pollution load since the simulated biochemical oxygen demand was with in the range of 0.2–1.5 mg/L, the National Standard limits. A projected population increase exceeded the target biochemical oxygen demand value of 2 mg/L, indicating the deterioration of ambient quality of coastal waters. Waste assimilative capacity studies are crucial in the present‐day regional, as well as global issues, such as population explosion, water shortage, and climate change.

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Fish larval transport in a macro-tidal regime: Gulf of Kachchh, west coast of India

Cited by 18 publications

References 32 publications

A study on fish eggs and larvae drifting in the Jirau reservoir, Brazilian Amazon

A study on fish eggs and larvae drifting in the Jirau reservoir, Brazilian Amazon

Barnacle larval transport in the Mandovi–Zuari estuarine system, central west coast of India

Waste Assimilative Capacity of Coastal Waters along Mumbai Mega City, West Coast of India Using MIKE‐21 and WASP Simulation Models

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