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Freshwater is one of the indispensable resources for the livelihood improvement of people and ecological sustainability. This study aims to assess the hydrochemical characteristics and drinking and irrigational water quality of the Ramsar-listed Begnas Lake and Rupa Lake in the Gandaki Province, Nepal. The results revealed that the water was mildly alkaline in both lakes. The order of ionic dominancy was found to be HCO3−> SO42−> Cl−> NO3−for anions and Ca2+> Na+> Mg2+> K+for cations in both the lakes. The results showed that ion sources in both lakes were primarily regulated by carbonate type weathering, which was consistent with the results obtained from the (Ca2++ Mg2+)/total cations and (Ca2++ Mg2+)/(K++ Na+) ratios, which had average values of 0.50 and 0.46; and 5.10 and 4.0, respectively, in Begnas Lake and Rupa Lake, respectively. All the irrigational indices showed that the water from both lakes was appropriate for irrigational purposes. The water quality index exhibited that the water in the study lakes was suitable for drinking purposes. The imprints of global climate change and increasing anthropic interferences could be crucial factors for the water quality management of Himalayan lakes in the future.

Satellite‐based Fire radiative power (FRP) retrievals are used to track wildfire activity but are sometimes not possible or have large uncertainties. Here, we show that weather radar products including composite and base reflectivity and equivalent rainfall integrated in the vicinity of the fires show strong correlation with hourly FRP for multiple fires during 2019–2020. Correlation decreases when radar beams are blocked by topography and when there is significant ground clutter (GC) and anomalous propagation (AP). GC/AP can be effectively removed using a machine learning classifier trained with radar retrieved correlation coefficient, velocity, and spectrum width. We find a power‐law best describes the relationship between radar products and FRP for multiple fires combined (0.67–0.76 R2). Radar‐based FRP estimates can be used to fill gaps in satellite FRP created by cloud cover and show great potential to overcome satellite FRP biases occurring during extreme fire events. The radiant energy emitted by wildfires (FRP) is an important variable that controls many aspects of the smoke plume including the amount of emission released into the atmosphere and how high it travels. Biomass burning debris, which are large particles generated by combustion, can be suspended in the atmosphere along with smoke. Weather radars can detect and retrieve information from these large particles, which can be used for a variety of applications. In this work, we show that retrievals from weather radars can be used to estimate FRP with reasonable results. Echoes associated with ground artifacts affect these results but can be effectively screened using machine learning algorithms trained on manually selected data of representative plume and non‐plume cases. Satellite FRP can often be missing or underpredicted especially for extreme fire events, and thus this technique offers an alternative way to provide a more accurate depiction of fire evolution that can be used to predict smoke impacts. Weather radar products integrated in the vicinity of fires can be used to estimate Fire radiative power (FRP) through a power‐law relationshipThe relationships between FRP and radar products are skillful only after removing artifacts using a machine learning classifierRadar‐based FRP has potential to fill gaps and overcome satellite FRP biases occurring during extreme fire events Weather radar products integrated in the vicinity of fires can be used to estimate Fire radiative power (FRP) through a power‐law relationship The relationships between FRP and radar products are skillful only after removing artifacts using a machine learning classifier Radar‐based FRP has potential to fill gaps and overcome satellite FRP biases occurring during extreme fire events

Cerebral venous sinus thrombosis (CVST) is a rare but serious disorder that is associated with a poor clinical outcome. We report a 35-year-old man who had a severe headache and diplopia while climbing Mount Everest. His MR venography showed right transverse and right sigmoid sinus thrombosis. He improved on anticoagulant and symptomatic measures. Cerebral venous sinus thrombosis at high altitude is discussed.