Understanding how dissolved trace elements chemically evolve in the Ganga River from source to sink is important to understand subcatchment contributions and chemical variability across space and time but remains poorly constrained. What exists is site-specific data sets that are focused on capturing contamination "hotspots." Here, we present riverine trace element concentrations of 38 targeted locations in the Ganga Basin. Samples in the headwater and the upstream segments of the river were collected during the premonsoon, monsoon, and postmonsoon seasons of 2014, 2015, and 2016, and the downstream samples were collected in 2016. In addition, monthly time-series samples were collected at a downstream site to capture the geochemical variability at a higher temporal-resolution. To evaluate the geogenic contributions, groundwater, rainwater, snow, glacier-ice, and sediment samples were also analyzed. We find that the river chemistry displays a wide spatio-temporal variability. Headwater samples are characterized by high concentrations of trace elements that are primarily controlled by ice meltwater, intense weathering, and interactions with glacial flour and are therefore geogenic in nature. Moreover, high concentrations of trace metals were also observed in a few localized downstream sites. However, such enriched signals are not persistent further downstream as they get diluted by the joining of large tributaries. We show that the dissolved trace element concentrations in the Ganga River are low compared to existing datasets and are comparable to the global average river water composition. We additionally quantified the present-day "baseline" concentration ranges to facilitate future water quality assessment in the Ganga Basin. 1. Introduction Global freshwater availability and quality are constantly changing. A simple explanation for such behavior is climate change and pollution associated with population increase (

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The world's large rivers have been intensely studied to better understand the impact of climate change and direct human interventions on river water quality and quantity. Of particular importance is the extent to which industrial, domestic, and agricultural discharges are modifying the dissolved inorganic constituents (major elements, trace elements, nutrients, and heavy metals) of large river systems vis-a-vis water quality. The COVID-19 pandemic lockdown provides a rare opportunity to quantify the impact of restricted anthropogenic activities on the water chemistry resilience of large rivers. By analyzing the daily geochemical record of the Ganga River, we demonstrate that reduced industrial discharge during 51 days of mandated nationwide lockdown decreased the dissolved heavy metal concentrations by a minimum of 50%. In contrast, nitrate and phosphate inputs predominantly derived from agricultural runoff and domestic sewage maintained a chemical status quo as these sources were not impacted by the nationwide confinement or their residence time was longer than the characteristic time of the perturbation. We demonstrate the high resilience of dissolved heavy metals and conclude that industrial wastewater minimization programs will substantially improve heavy metal pollution of the Ganga River in a short time span of a few months.

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doi: 10.7185/geochemlet.2013 Global warming is adversely affecting the melting rates of Himalayan glaciers, which feed a number of large river systems in the Indian sub-continent. Regional scale assessment of glaciers and their link to rivers are mostly quantified using remote sensing data and modelling techniques. Here we present an alternative stable water isotope modelling approach. New oxygen and hydrogen isotopes ( 18 O/ 16 O and 2 H/ 1 H, expressed as δ 18 O and δD) data from the headwater of Indus River were analysed with a comprehensively compiled δ 18 O and δD dataset of Himalayan rivers to quantify the volumetric flow of glacier ice meltwater in the headwaters of the rivers Indus, Ganges, and Brahmaputra. The isotope mixing model reveals that the discharge weighted annual average glacier ice meltwater contribution in headwaters (>2000 m) of the Indus, the Ganges, and the Brahmaputra are 47 ± 13 %, 44 ± 13 %, and 29 ± 10 %, respectively, which corresponds to a minimum of 33.5 ± 6.5 Gt yr -1 of melted ice mass. Our results show that annual glacier ice meltwater contributions vary across the river basins, with Indus River receiving the highest contribution. We conclude that stable water isotope modelling is an alternative approach to study regional scale glacier-river interactions to address the future impact of climate change over glaciated Himalayan catchments.

The fertile Indo-Gangetic floodplain contains numerous small, rain-fed rivers. These rivers contribute to the river water chemistry of the Ganges River; however, these small floodplain rivers are never studied nor monitored owing to their smaller size with reference to catchment area (∼1000− 10000 km 2 ) and volume of discharge (∼10−100 m 3 /s). Here we quantify the role of a small flood plain river, the Pandu River, in terms of dissolved inorganic nitrogen (DIN) and phosphate export to Ganges River. We present results from time series sampling campaigns over 2015 and 2016. Our result shows that Pandu River exports 793 ± 128 t/yr of DIN and 177 ± 29 t/yr phosphate to the Ganges River, which accounts for 0.1% and 0.42% of the total DIN and phosphate fluxes, respectively, that Ganges River exports into Bay of Bengal. Furthermore, we show that the small floodplain rivers in the Indo-Gangetic floodplain could collectively contribute ∼15% and ∼61% of the DIN and phosphate fluxes, respectively, that Ganges River delivers into Bay of Bengal. Therefore, runoff from small floodplain rivers is an important flux that could contribute to the dissolved nutrient budget of large river systems, and they must be better monitored to address future challenges in river basin management. KEYWORDS: nutrient fluxes, nitrate and phosphate contamination, N and P transport pathways in Indo-Gangetic floodplain, riverine nutrient budget, small floodplain rivers

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