Year Journal Volume Author Title Abstract 2017 Geoscience Frontiers Volume 8, Issue 5, Muhammad Adnan, Snowmelt runoff prediction under There are serious concerns of rise in temperatures over snowy and glacierized Himalayan region that may eventually affect future September 2017, Ghulam Nabi, changing climate in the Himalayan river flows of Indus river system. It is therefore necessary to predict snow and glacier melt runoff to manage future water resource Pages 941-949 MuhammadSaleem, cryosphere: A case of Gilgit River Basin of Upper Indus Basin (UIB). The snowmelt runoff model (SRM) coupled with MODIS remote sensing data was employed in this Poomee study to predict daily discharges of Gilgit River in the Karakoram Range. The SRM was calibrated successfully and then simulation ArshadAshraf was made over four years i.e. 2007, 2008, 2009 and 2010 achieving coefficient of model efficiency of 0.96, 0.86, 0.9 and 0.94 respectively. The scenarios of precipitation and mean temperature developed from regional climate model PRECIS were used in SRM model to predict future flows of Gilgit River. The increase of 3 °C in mean annual temperature by the end of 21th century may result in increase of 35–40% in Gilgit River flows. The expected increase in the surface runoff from the snow and glacier melt demands better water conservation and management for irrigation and hydel-power generation in the Indus basin in future. 2017 Current Science(00113891) 4/25/2017, Jain, Sharad K, Trends in rainfall and peak flows for The aim of the present study is to examine the trends in magnitude and intensity of precipitation and peak floods of different Vol. 112 Issue 8, Nayak, P. C. some river basins in India magnitudes for seven major river basins in India. Data pertaining to daily flows for about 30-odd years and precipitation for 61 p1712-1726. 15p Singh, Yatveer years (from 1951 to 2012) were analysed. Linear trends were calculated for the number of rainy days, rainfall intensity and Chandniha, Surendra occurrence of flood peaks for all basins. Using the Sen’s slope estimator, it was found that annual peak rainfall increases for most Kumar of the basins in India. From the Mann–Kendall test and Sen’s slope, it was found that the Cauvery and Brahamani and Baitarani basins show a rising trend in the number of rainy days, but the trend was falling for five other basins. When the basins were classified as mountains and plains, it was found that the number of daily rainfall events of different magnitudes was more in the mountains compared to the plains. The rivers which flow from west to east direction have more rainy days compared to those which flow towards the west. It was observed that in general the number of rainy days was falling while the number of intense events was increasing. The number of flood peaks of smaller magnitude in different decades showed slight falling trend. It was also found that there was falling or no trend for severe floods. Anthropogenic activities (construction of storage reservoirs, diversions, urbanization, land-use change, and soil and water conservation measures, etc.) have probably affected the generation of peak floods in the rivers of India. River regulation through storage reservoirs in the past 50 years has resulted in the reduction of peak flows. Hence with the same rainfall, the flood peaks would have increased under virgin conditions. 2017 Journal of Hydrology: Regional Volume 13, October Vinod Tare, Eco-geomorphological approach for Study region Studies 2017, Pages 110-121 Suresh Kumar Gurjar, environmental flows assessment in Upper Ganga reaches up to Rishikesh town, India. Haridas Mohanta, monsoon-driven highland rivers: A case Study focus Vishal Kapoor, study of Upper Ganga, India Environmental Flows (E-Flows) assessment in the upper stretches of the Ganga river has been carried out by integrating ecological Ankit Modi, and geomorphological parameters with hydraulic analysis to estimate the flow depths and flow volumes necessary for river ecology R.P. Mathur, and channel maintenance. We have used a modified version of Building Block Method (BBM) for computing E-Flows for lean period, Rajiv Sinha for monsoon period and for high floods based on the flow requirements of keystone species for different sites and geomorphic considerations. We define three flow depths, D1, D2 and D3 which correspond to the minimum flow depths required for sustenance of keystone species during lean period, for breeding and spawning of keystone species during monsoon period, and for maintaining lateral connectivity during floods respectively. New hydrological insights for the region Annual hydrographs for E-Flows have been developed and compared with the observed flows for each site under natural flow conditions. Our computation shows that for the wet period, which is taken as the period from mid-May to mid-October, monthly E- Flows vary from ∼23% to ∼40% of the monthly natural flows at different sites. However, dry season E-Flows as percentages of natural flows, taken for the period from mid-October to mid-May, vary over a wider range of 29%–53% for these sites. 2017 Research Article 24-Apr-17 R. Sinha, Geomorphic diversity as a river Understanding of geomorphic processes and the determination of geomorphic diversity in catchments are prerequisites for the H. Mohanta, management tool and its application to sustainable rehabilitation of river systems and for reach-scale assessment of river health. The Ganga River system in India is a large, V. Jain, the Ganga River, India complex system consisting of several long tributaries, some >1,000 km, originating from 2 distinct hinterlands—the Himalaya to the S. K. Tandon north and the cratons to the south. Traversing through a diverse climatic regime across the Plain and through precipitation zones ranging from 600 mm/year near Delhi to 1,200 mm/year in the eastern plains, the Ganga River system has formed very diverse landform assemblages in 3 major geomorphic domains. We have recognized 10 different river classes for the trunk river from Gangotri (source) to Farakka (upstream of its confluence with the Brahmaputra) based on (a) landscape setting, (b) channel and active floodplain properties, and (c) channel planform parameters. The mountainous stretch is characterized by steep valleys and bedrock channels and is dominated by large-scale sediment production and transport through hill slope processes. The alluvial part of the river is characterized by 8 different river classes of varying reach lengths (60–300 km) many of which show sharp transitions in landscape setting. We have highlighted the application of this approach for the assessment of habitat suitability, environmental flows, and flood risk all of which have been significantly modified during the last few decades due to large-scale anthropogenic disturbances. We suggest that the diversity embedded in this geomorphic framework can be useful for developing a sustainable river management programme to “work with” the contemporary character and behaviour of rivers. River System Analysis and pp 321-337 Ravindra Kumar Preliminary Assessment and Attempt The impact of releasing additional water from Tehri Dam (114 m3/s), and subsequent releases downstream barrages at Bhimgoda, Management to Maintain Minimum Ecological Flows Bijnor, Ramganga feeder canal (from Kalagarh Dam on Ramganga River), and Narora Barrage (71 m3/s) particularly during Kumbh in Upper and Middle Ganga River bath festival for cultural/spiritual/ecological reasons during lean flow months (December–March) to augment river flows at Har ki Pauri (Hardwar) and at Sangam (Allahabad before confluence of Ganga with Yamuna River) at the cost of irrigation water seems to be unattractive due to negative water balance during non-monsoon period between Hardwar downstream catchment and Allahabad. The better option to raise water level at Sangam appears to be closing of lift pump canals situated between Kanpur and Raebareli (34 m3/s) and escaping Sharda Sahayak canal water (11 m3/s) from Bhadri escape into the Ganga River 40 km upstream of Allahabad. The other option may be construction of barrages at suitable places – Chhatnag (d/s Sangam nose, Allahabad), Kalakankar (Pratapgarh), and Bhitaura (Fatehpur) – to augment 64 m3/s water at 75 % dependability to maintain water depth 1.2 m at Sangam. Dredging of the active channel may provide adequate depth of water for bathing and navigation. The combined effect of low flow and discharge of polluting effluent into the Ganga has caused severe deterioration in the quality of water, sediment, and aquatic biodiversity in the river. But the Ganges’ pollution and low flow issues are two entirely different things. Similarly, trade-off between food security and river ecological services has to be decided on objectives of the society. The preliminary assessment of environmental flows (EFs) for the Upper Ganga basin by WWF-India (2012 assessment of environmental flows for the Upper Ganga Basin, HSBC Water Programe) at Kaudiyala (rafting site 30 km u/s Rishikesh), Kachla bridge (d/s Narora), and Bithoor (u/s Kanpur Lav Kush barrage) suggests 72 %, 45 %, and 47 % MAR natural, respectively, using building block methodology (BBM). This study further needs refinement based on actual flow regimes. Environmental History in the pp 187-206 Vipul Singh (Department Where Many Rivers Meet: River Looking at the changing nature of river economy this paper tries to examine the relation between economy and environmental Making of History University of Morphology and Transformation of Pre- history. Bihar province in mid-Ganga basin has the natural advantage of many rivers converging the Ganga. During the seventeenth Delhi, Delhi India) modern River Economy in Mid-Ganga and the eighteenth century the province went on to get linked with the maritime economy and trade, and the center of commercial Basin, India activities shifted from Ganga-Yamuna doab to eastern part of the Ganga basin.