Rijan Bhakta Kayastha
Kathmandu University
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Rijan Bhakta Kayastha.
Archive | 2017
Javed Hassan; Rijan Bhakta Kayastha; Ahuti Shrestha; Iram Bano; Sayed Hammad Ali; Haleem Zaman Magsi
The high mountains of Hindu-Kush Karakoram and Himalaya (HKKH) contain a large volume of snow and ice, which are the primary sources of water for the entire mountainous population of HKKH. Thus, knowledge of these available resources is very important in relation to their sustainable use. A Modified Positive Degree Day Model was used to simulate daily discharge with the contribution of snow and ice melt from the Shigar River Basin, Central Karakoram, Pakistan. The basin covers an area of 6,921 km 2 with an elevation range of 2,204 to 8,611 m a.s.l.. Forty percent of the total area is glaciated among which 20% is covered by debris and remaining 80% by clean ice and permanent snow. To simulate daily discharge, the entire basin was divided into 26 altitude belts. Remotely sensed land cover types are derived by classifying Landsat images of 2009. Daily temperature and precipitation from Skardu meteorological station is used to calibrate the glacio-hydrological model as an input variable after correlating data with the Shigar station data ( r =0.88). Local temperature lapse rate of 0.0075 °C/m is used. 2 °C critical temperature is used to separate rain and snow from precipitation. The model is calibrated for 1988~1991 and validated for 1992~1997. The model shows a good Nash-Sutcliffe efficiency and volume difference in calibration (0.86% and 0.90%) and validation (0.78% and 6.85%). Contribution of snow and ice melt in discharge is 32.37% in calibration period and 33.01% is validation period. The model is also used to predict future hydrological regime up to 2099 by using CORDEX South Asia RCM considering RCP4.5 and RCP8.5 climate scenarios. Predicted future snow and ice melt contributions in both RCP4.5 and RCP8.5 are 36% and 37%, respectively. Temperature seems to be more sensitive as compared to other input variables, which is why the contribution of snow and ice in discharge varies significantly throughout the whole century.
Journal of Water Resource and Protection | 2016
Aastha Chhetri; Rijan Bhakta Kayastha; Ahuti Shrestha
Journal of Hydrology and Meteorology | 2016
A. Khadka; Lochan Prasad Devkota; Rijan Bhakta Kayastha
Journal of Water Resource and Protection | 2015
Anisha Tuladhar; Rijan Bhakta Kayastha; Smriti Gurung; Ahuti Shrestha
World Academy of Science, Engineering and Technology, International Journal of Geological and Environmental Engineering | 2017
Syed Hammad Ali; Rijan Bhakta Kayastha; Ahuti Shrestha; Iram Bano
World Academy of Science, Engineering and Technology, International Journal of Environmental and Ecological Engineering | 2017
Syed Hammad Ali; Rijan Bhakta Kayastha; Danial Hashmi; R. L. Armstrong; Ahuti Shrestha; Iram Bano; Javed Hassan
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences | 2017
S. H. Ali; I. Bano; Rijan Bhakta Kayastha; Ahuti Shrestha
Journal of Hydrology and Meteorology | 2016
Sonika Shahi; Rijan Bhakta Kayastha
Journal of Hydrology and Meteorology | 2016
Hafizullah Rasouli; Rijan Bhakta Kayastha; Bikas C. Bhattarai; Ahuti Shrestha; Hedayatullah Arian; R. L. Armstrong
Journal of Hydrology and Meteorology | 2016
Hedayatullah Arian; Rijan Bhakta Kayastha; Bikas C. Bhattarai; Ahuti Shresta; Hafizullah Rasouli; R. L. Armstrong