Research highlights: modelling to assess climate change impacts and promote development DOI
Katja E. Luxem, Vivian Lin

Environmental Science Processes & Impacts, Journal Year: 2015, Volume and Issue: 17(8), P. 1359 - 1362

Published: Jan. 1, 2015

This highlight features four recent publications on an ESPA project in the Ganges–Brahmaputra–Meghna (GBM) delta system, emphasizing their balance between fundamental questions and user-oriented outputs.

Language: Английский

Impacts of climate change and socio-economic scenarios on flow and water quality of the Ganges, Brahmaputra and Meghna (GBM) river systems: low flow and flood statistics DOI
P. G. Whitehead, Emily Barbour, Martyn N. Futter

et al.

Environmental Science Processes & Impacts, Journal Year: 2015, Volume and Issue: 17(6), P. 1057 - 1069

Published: Jan. 1, 2015

The potential impacts of climate change and socio-economic on flow water quality in rivers worldwide is a key area interest.

Language: Английский

Citations

145

Regional scale hydrologic modeling for prediction of water balance, analysis of trends in streamflow and variations in streamflow: The case study of the Ganga River basin DOI Creative Commons
Jatin Anand,

A. K. Gosain,

Rakesh Khosa

et al.

Journal of Hydrology Regional Studies, Journal Year: 2018, Volume and Issue: 16, P. 32 - 53

Published: March 18, 2018

Ganga River basin. The availability of freshwater has been recognized as a global issue, and the reliable evaluation quantification it within basin is necessary to bolster sustainable management water. For this purpose basin-scale SWAT model developed. Model validation showed that simulated results were consistent with observed data in reproducing seasonal dynamics surface water suggest capable hydrological features including snow melt. However, there are large variations both temporal spatial distribution components. Statistical methods have used for detecting trends critical changes streamflow. It found although streamflow from fed areas increased, stream flow lower reaches non-perennial tributaries declined significantly. This decline can be attributed anthropogenic exogenous changes. study also establishes substantial reduction overall resources respect Virgin. information sets yardstick restoration environmental health lead better under scarcity.

Language: Английский

Citations

103

Dynamic modeling of the Ganga river system: impacts of future climate and socio-economic change on flows and nitrogen fluxes in India and Bangladesh DOI
P. G. Whitehead, Sananda Sarkar, Li Jin

et al.

Environmental Science Processes & Impacts, Journal Year: 2015, Volume and Issue: 17(6), P. 1082 - 1097

Published: Jan. 1, 2015

This study investigates the potential impacts of future climate and socio-economic change on flow nitrogen fluxes Ganga river system.

Language: Английский

Citations

91

Modelling impacts of climate change and socio-economic change on the Ganga, Brahmaputra, Meghna, Hooghly and Mahanadi river systems in India and Bangladesh DOI
P. G. Whitehead, Li Jin, Ian Macadam

et al.

The Science of The Total Environment, Journal Year: 2018, Volume and Issue: 636, P. 1362 - 1372

Published: May 5, 2018

Language: Английский

Citations

82

Simulating climate change and socio-economic change impacts on flows and water quality in the Mahanadi River system, India DOI
Li Jin, P. G. Whitehead,

Harvey J. E. Rodda

et al.

The Science of The Total Environment, Journal Year: 2018, Volume and Issue: 637-638, P. 907 - 917

Published: May 12, 2018

Language: Английский

Citations

66

Modeling future flows of the Volta River system: Impacts of climate change and socio-economic changes DOI
Li Jin, P. G. Whitehead, Kwasi Appeaning Addo

et al.

The Science of The Total Environment, Journal Year: 2018, Volume and Issue: 637-638, P. 1069 - 1080

Published: May 14, 2018

Language: Английский

Citations

59

Flows and sediment dynamics in the Ganga River under present and future climate scenarios DOI
Sana Khan, Rajiv Sinha, P. G. Whitehead

et al.

Hydrological Sciences Journal, Journal Year: 2018, Volume and Issue: 63(5), P. 763 - 782

Published: March 2, 2018

Identification of factors controlling sediment dynamics under natural flow regimes can establish a baseline for quantifying effects present day hydrological alteration and future climate change on delivery associated flooding. The process-based INCA-Sediment model was used to simulate Ganga River transport conditions quantify possible changes using three contrasting scenarios. Construction barrages canals has significantly altered regimes, with profound consequences transport. Projected increases in monsoonal precipitation will lead higher peak flows, increasing flood frequency greater water availability. Increased groundwater recharge during monsoon periods rates evaporation due increased temperature complicate projections availability non-monsoon periods. Rainfall land surface interaction high-relief areas drive uncertainties Upper loads. However, flows increase erosion western lower reaches.

Language: Английский

Citations

55

Flood Inundation Mapping of the Sparsely Gauged Large-Scale Brahmaputra Basin Using Remote Sensing Products DOI Creative Commons
Biswa Bhattacharya, Maurizio Mazzoleni,

Reyne Ugay

et al.

Remote Sensing, Journal Year: 2019, Volume and Issue: 11(5), P. 501 - 501

Published: March 1, 2019

Sustainable water management is one of the important priorities set out in Development Goals (SDGs) United Nations, which calls for efficient use natural resources. Efficient nowadays depends a lot upon simulation models. However, availability limited hydro-meteorological data together with sharing practices prohibits modelling and consequently flood risk sparsely gauged basins. Advances remote sensing has significantly contributed to carrying hydrological studies ungauged or In particular, global datasets observations (e.g., rainfall, evaporation, temperature, land use, terrain, etc.) allow develop hydraulic models catchments. this research, we have considered large scale modelling, using freely available datasets, trans-boundary Brahmaputra basin, an enormous potential terms agriculture, hydropower, supplies other utilities. A semi-distributed conceptual model was developed HEC-HMS (Hydrologic Modelling System from Hydrologic Engineering Centre). Rainfall estimates Tropical Measuring Mission (TRMM) compared gauge used simulation. The Nash Sutcliffe coefficient uncorrected rainfall calibration validation were 0.75 0.61 respectively whereas similar values corrected 0.81 0.74. output as boundary condition lateral inflow model. results obtained remotely sensed products discharge at basin outlet (Bahadurabad) altimetry Jason-2 satellite. simulated inundation maps lower part showed reasonably good match probability detection, success ratio critical index. Overall, study demonstrated that reliable robust can be both only input

Language: Английский

Citations

41

Optimisation of Multipurpose Reservoir Operation by Coupling Soil and Water Assessment Tool (SWAT) and Genetic Algorithm for Optimal Operating Policy (Case Study: Ganga River Basin) DOI Open Access
Jatin Anand,

A. K. Gosain,

Rakesh Khosa

et al.

Sustainability, Journal Year: 2018, Volume and Issue: 10(5), P. 1660 - 1660

Published: May 21, 2018

Reservoirs are recognized as one of the most efficient infrastructure components in integrated water resources management. At present, with ongoing advancement social economy and requirement water, shortage problem has worsened, operation reservoirs, terms consumption flood become significantly important. To achieve optimal reservoirs operating policies, a considerable amount optimization simulation models have been introduced course recent years. Subsequently, assessment estimation that is associated reservoir stays conventional. In present study, Soil Water Assessment Tool (SWAT) Genetic Algorithm model employed to two Ganga River basin, India order obtain operational policies. The objective function added reduce yearly sum squared deviation from preferred storage capacity required release for irrigation purpose. rule curves were estimated via random search discovered be consistent demand requests. Thus, case on basis generated result, it concluded GA-derived rules competitive promising, can efficiently used derivation reservoir.

Language: Английский

Citations

39

Water quality assessment and catchment-scale nutrient flux modeling in the Ramganga River Basin in north India: An application of INCA model DOI
Devanshi Pathak, P. G. Whitehead, Martyn N. Futter

et al.

The Science of The Total Environment, Journal Year: 2018, Volume and Issue: 631-632, P. 201 - 215

Published: March 18, 2018

Language: Английский

Citations

38