Basin-scale hydrology and sediment dynamics of the Kosi river in the Himalayan foreland

Sinha, Rajiv; Gupta, Alok Kumar; Mishra, Kanchan; Tripathi, Shivam; Nepal, Santosh; Wahid, Shahriar; Swarnkar, Somil

doi:10.1016/j.jhydrol.2018.12.051

Cited by 74 publications

(53 citation statements)

References 29 publications

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“…A similar approach was used by [1] while estimating water resources in Kali Gandaki River Basin (KGRB) in central Nepal. We used the specific discharge calculated by [35] at different locations of sub-basins in the Koshi River Basin, and the water resource at the district was estimated by multiplying the specific discharge of the sub-basin with the area of the respective district within the sub-basin. The estimated water resource of the district was further divided by the population of the district to calculate the per capital water availability (R 1 ).…”

Section: Water Poverty Index (Wpi) Frameworkmentioning

confidence: 99%

Application of Water Poverty Index (WPI) in Spatial Analysis of Water Stress in Koshi River Basin, Nepal

et al. 2020

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Water and poverty interface is strongly interconnected and a robust assessment of water stress is crucial to identify needy areas and develop appropriate intervention for poverty reduction. Water Poverty Index (WPI) provides an interdisciplinary tool to assess water stress by linking physical estimates of water availability with socio-economic drivers of poverty. This study presents an application of Water Poverty Index (WPI) to estimate and compare the level of water stress in 27 districts of Koshi River Basin in Nepal. Based on data availability, relevance to the study area and review of literatures, 12 indicators were selected under five key components outlined by WPI. The study result shows medium-low degree (WPI = 54.4) of water poverty in the Koshi River Basin in Nepal. The WPI score varies widely (from 49.75 to 69.29) along the districts and it was found that districts in Tarai regions and urban areas were more water stressed compared to the districts in mid-hill and high-hill regions. Priorities for intervention must be given to the districts in Tarai regions and urban areas with a low WPI score, explicitly on the sector regarding access to water and sanitation to address water poverty in the basin.

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Section: Water Poverty Index (Wpi) Frameworkmentioning

confidence: 99%

Application of Water Poverty Index (WPI) in Spatial Analysis of Water Stress in Koshi River Basin, Nepal

et al. 2020

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“…In contrast, the Kosi and Gandak rivers in the eastern Ganga plains (EGP) are both characterised by high relief and high precipitation. The Kosi and Gandak rivers are characterised by high annual discharges (2256 and 1,555 m 3 /s respectively) and high modern sediment loads (~43 and 82 Mt/yr) close to their mouths (Jain and Sinha, 2003a;Sinha et al, 2005a;Sinha et al, 2019). Consequently, large alluvial fans have developed at the mountain exit of the Gandak and Kosi rivers as they enter the plains because of low topographic gradients and longitudinal slopes.…”

Section: Figure 1 River Basin Boundaries Of the Major River Basins In India Superposed On Srtm Dem (1-indus Up To Border 2 A-b-ganga And mentioning

confidence: 99%

Evolution of modern river systems: an assessment of ‘landscape memory’ in Indian river systems

et al. 2020

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Every river basin is characterised by an evolutionary history, which may be analysed at different time scales. This study provides a geological and geomorphic history of different river basins of India at different time scales ranging from millions of years to millennial time scales. The river basins in India are divided into six different groups on the basis of different tectono-climatic settings and geomorphic characteristics. The evolutionary trajectories in the past strongly govern the modern day geomorphic characteristics and processes in a river basin. The basin scale data compiled in this paper highlights the role of geological inheritance and 'landscape memory' in the evolution of river systems of India.

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“…Therefore, monitoring of water quality and health status of the aquatic ecosystem and risk assessment of the threatening factors are important for river basin management and aquatic ecosystem resiliency (de Medeiros et al 2017 ; Gachlou et al 2019 ; Mokarram et al 2020 ). Sediment dynamics is also an important water basin management issue (Sinha et al 2019 ). Various multivariate statistical analyses and water quality assessments are being carried out to determine the water quality, hydrogeology and to determine the most influential polluting agents (Li et al 2017 ).…”

Section: Introductionmentioning

confidence: 99%

Impact assessment on water quality in the polluted stretch using a cluster analysis during pre- and COVID-19 lockdown of Tawi river basin, Jammu, North India: an environment resiliency

Kour

Kothari

Dhar

et al. 2021

Energ. Ecol. Environ.

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Pollution-free rivers give indication of a healthy ecosystem. The stretch of Tawi river particularly in the Jammu city is experiencing pollution load and the quality is degraded. The present study highlights the impact of COVID-19 lockdown on the water quality of Tawi river in Jammu, J&K Union Territory. Water quality data based upon the real-time water monitoring for four locations (Below Tawi Bridge, Bhagwati Nagar, Belicharana and Surajpur) have been obtained from the web link of Jammu and Kashmir Pollution Control Board. The important parameters used in the present study include pH, alkalinity, hardness, conductivity, BOD and COD. The river was designated fit for bathing in all the monitoring locations except Bhagwati Nagar which recorded a BOD value >5 mg/L because of domestic sewage and municipal waste dumping. The overall water quality in the river during lockdown was good and falls in Class B with pH (7.0–8.5), alkalinity (23.25–185.0 mg/L), hardness (84.25–177.5 mg/L), conductivity (117–268 ms/cm). The improved water quality obtained during lockdown is never long-lasting as evident from the BOD and COD values observed during Unlock 1.0 due to accelerated anthropogenic activities in response to overcoming the economic loss, bringing the river water quality back to the degraded state. The statistical analysis known as cluster analysis has also been performed to evaluate the homogeneity of various monitoring sites based on the physicochemical variables. The need of the hour is to address the gaps of rejuvenation strategies and work over them for effective river resiliency and for sustainable river basin management.

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Basin-scale hydrology and sediment dynamics of the Kosi river in the Himalayan foreland

Cited by 74 publications

References 29 publications

Application of Water Poverty Index (WPI) in Spatial Analysis of Water Stress in Koshi River Basin, Nepal

Application of Water Poverty Index (WPI) in Spatial Analysis of Water Stress in Koshi River Basin, Nepal

Evolution of modern river systems: an assessment of ‘landscape memory’ in Indian river systems

Impact assessment on water quality in the polluted stretch using a cluster analysis during pre- and COVID-19 lockdown of Tawi river basin, Jammu, North India: an environment resiliency

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