Water quality and geochemical facie of high-altitude lakes in Tawang, Eastern Himalaya, India.

High-altitude lakes (HALs) can be used as a supplement or alternative source of water in areas where there is a water shortage. When these lakes are efficiently managed, they can supply more water resources to fulfil the increasing demand. Water quality assessment aids in the identification of adequate and safe drinking water sources. It minimizes threats to the public's health by making sure that lake water extraction fulfills safety and health regulations. Water quality and hydrogeochemical study was conducted on six HALs of the Tawang district of Arunachal Pradesh during the year 2022. The water quality index (WQI) values varied from excellent to poor (33.87 to 101.95). Lake 6 stands out with its exceptional water quality as it had the minimum average WQI value of 52.98. In contrast, Lake 5 had the lowest water quality among the studied lakes with the maximum average WQI value of 95.31. However, the water might not be safe to drink due to the elevated levels of fluoride in these lakes. It is crucial to address and minimize the high fluoride levels to ensure the safety and acceptability of the water for consumption. The Piper diagram showed that Ca2+ > Mg2+ > Na+ > K+ and HCO3- > Cl- > SO42-, respectively, were the primary cations and anions present in these lakes. The Gibbs diagram also demonstrated the effect of rock weathering and precipitation dominance on the water chemistry in the research area. These results provide insightful information about the water quality of HALs, which is essential information for concerned government departments and agencies to manage water issues more efficiently. Based on current research, the HALs in this region have a lot of potential to meet the growing demand for drinking water.

Predicting Suitable Habitats for the Vulnerable Eastern Hoolock Gibbon, Hoolock leuconedys, in India Using the MaxEnt Model.

The eastern hoolock gibbon, Hoolock leuconedys, is categorized as Vulnerable on the IUCN Red List and assessed as a Schedule I species of the Wildlife (Protection) Act of 1972 in India. We predict the potential habitat of H. leuconedys in the state of Arunachal Pradesh, India, using the Maximum Entropy (MaxEnt) distribution modelling algorithm. The model was developed using 90 known localities of H. leuconedys in the state. Nineteen environmental parameters along with 12 normalized difference vegetation index (NDVI) layers, elevation and land use and land cover (LULC) were used in the modelling. Amongst the environmental input variables, the precipitation of the coldest quarter (BIO 19) had the highest contribution to the model (26.03%) and the twelve NDVI layers collectively contributed 60.91%. Two districts, Lower Dibang Valley and Lohit, which are known to contain H. leuconedys, occupied 64.75% of the predicted distribution area of the species. Thus, we aid in the identification of suitable areas for the reintroduction program of H. leuconedys that is planned by the Gibbon Conservation Breeding Centre, Biological Park, Itanagar, Arunachal Pradesh, India.