| Abstract |
Upper Indus Basin (UIB) streamflow originates largely from glacier and snow melt in the upstream Himalaya, Karakoram, and Hindu Kush mountain ranges and is extremely vulnerable because of its projected climate changes, dense populations, and hydropolitical tensions. Accurate knowledge of streamflow constituents is required for resilient water resources management; this is precluded by a paucity of measurement as well as climatological and topographic complexity. Here we integrate citizen scientist acquired geochemical samples, collected from October 2018 through September 2019 in the Shimshal watershed of the Karakoram Mountains of Pakistan, with Sentinel‐1 (S1) synthetic aperture radar (SAR)‐derived wet snow maps, to better understand streamflow constituents for the high altitude and heavily glaciated catchment. We use Bayesian end‐member mixture analysis to separate river flows into baseflow and meltwater constituents, using fixed and time‐variant melt end‐member values. We compare river hydrograph separation results with S1 wet snow time series maps for the same timeframe. We then utilize S1 imagery to inform end‐member mixture analysis to separate meltwaters into snow and glacier melt. For the Shimshal catchment, we find that about 85% of annual river flows are derived from snow and glacier melt; 45% of annual flows are derived from snow melt and 40% glacier melt. Engaged and committed citizen scientists enabled geochemical sample collection and analysis on a significant temporal and spatial scale. In the future, co‐produced knowledge that both implements local expertise and that is also planned and utilized by diverse stakeholders may increase climatological awareness and resilience in the UIB. |
| Authors |
Jennifer S. Lund   , R. R. Forster , Yusuf Jameel , S. Rupper , E. J. Deeb , Ghulam Hussain Dars , Azhar Zaheer , Mohammad Ali , Abdul Ghafoor , Garee Khan , Muhammad Arfan , Glen E. Liston , Javed Akhter Qureshi , Gregory T. Carling , Steven J. Burian
|
| Journal Info |
Wiley-Blackwell | Water Resources Research , vol: 59
, iss: 3
|
| Publication Date |
3/1/2023 |
| ISSN |
0043-1397 |
Type |
article |
| Open Access |
hybrid
|
| DOI |
https://doi.org/10.1029/2022wr032171 |
| Keywords |
Watershed Simulation (Score: 0.514921) , Streamflow Trends (Score: 0.504063)
|
