scholarly journals Modelling of snowmelt runoff across the Himalayan Region

2022 ◽  
Vol 24 (1) ◽  
Author(s):  
ROHITASHW KUMAR ◽  
SAIKA MANZOOR ◽  
MAHRUKH
Keyword(s):  
Himalayan Region ◽  
Coefficient Of Determination ◽  
Snow Melt ◽  
Validation Period ◽  
Snowmelt Runoff ◽  
Average Coefficient ◽  
Use Efficiency ◽  
The Impact ◽  
Runoff Model ◽  
Volume Difference

The Snowmelt-Runoff Model (SRM) was used to evaluate the impact of climate change on hydrological aspects of Lidder River Catchment of the Himalayan Region. It was observed that the river has an average discharge of 1082.49 cusecs. The coefficient of determination (R2) was varies in the range 0.90-0.95 during model validation period (2013-2018).The average coefficient of determination 0.926 and average seasonal volume difference (Dv) was obtained (-) 0.83%.  The snow melt runoff harvested water can be used to bring 10 per cent more area under irrigation and water use efficiency which can be increased to an extent of 12-15 per cent for sustainable agriculture production in the Himalayan Region.

scholarly journals IMPACTS OF SNOWMELT AND CLIMATE CHANGE ON HIMALAYAN RIVERS: THE CASE OF DATA-SCARCE DUDHKOSHI RIVER IN EASTERN NEPAL

2021 ◽  
Vol 5 (12) ◽  
Author(s):  
Sudeep Pokhrel ◽  
Saraswati Thapa
Keyword(s):  
Maximum Temperature ◽  
Climate Projections ◽  
Snow Melt ◽  
Snow Hydrology ◽  
Statistical Downscaling Model ◽  
Snowmelt Runoff ◽  
Annual Average ◽  
Temperature And Precipitation ◽  
Increasing Trends ◽  
Runoff Model

Water from snow-melt is crucial to provide ecosystem services in downstream of the Himalayas. To study the fate of snow hydrology, an integrated modeling system has been developed coupling Statistical Downscaling Model (SDSM) outputs with Snowmelt Runoff Model (SRM) in the Dudhkoshi Basin, Nepal. The SRM model is well-calibrated in 2011 and validated in 2012 and 2014 using MODIS satellite data. The annual average observed and simulated discharges for the calibration year are 177.89 m3 /s and 181.47 m3 /s respectively. To assess future climate projections for the periods 2020s, 2050s, and 2080s, the SDSM model is used for downscaling precipitation, maximum temperature, and minimum temperature from the Canadian GCM model (CanESM2) under three different scenarios RCP2.6, RCP4.5 and RCP8.5. All considered scenarios are significant in predicting increasing trends of maximumminimum temperature and precipitation and the storehouse of freshwater in the mountains is expected to deplete rapidly if global warming continues.

scholarly journals Assimilation of Snowmelt Runoff Model (SRM) Using Satellite Remote Sensing Data in Budhi Gandaki River Basin, Nepal

2020 ◽  
Vol 12 (12) ◽  
pp. 1951 ◽  
Author(s):  
Til Prasad Pangali Sharma ◽  
Jiahua Zhang ◽  
Narendra Raj Khanal ◽  
Foyez Ahmed Prodhan ◽  
Basanta Paudel ◽  
...  
Keyword(s):  
Climate Change ◽  
Remote Sensing ◽  
River Basin ◽  
Satellite Remote Sensing ◽  
River Discharge ◽  
Remote Sensing Data ◽  
Himalayan Region ◽  
Snowmelt Runoff ◽  
Sensing Data ◽  
Runoff Model

The Himalayan region, a major source of fresh water, is recognized as a water tower of the world. Many perennial rivers originate from Nepal Himalaya, located in the central part of the Himalayan region. Snowmelt water is essential freshwater for living, whereas it poses flood disaster potential, which is a major challenge for sustainable development. Climate change also largely affects snowmelt hydrology. Therefore, river discharge measurement requires crucial attention in the face of climate change, particularly in the Himalayan region. The snowmelt runoff model (SRM) is a frequently used method to measure river discharge in snow-fed mountain river basins. This study attempts to investigate snowmelt contribution in the overall discharge of the Budhi Gandaki River Basin (BGRB) using satellite remote sensing data products through the application of the SRM model. The model outputs were validated based on station measured river discharge data. The results show that SRM performed well in the study basin with a coefficient of determination (R2) >0.880. Moreover, this study found that the moderate resolution imaging spectroradiometer (MODIS) snow cover data and European Centre for Medium-Range Weather Forecasts (ECMWF) meteorological datasets are highly applicable to the SRM in the Himalayan region. The study also shows that snow days have slightly decreased in the last three years, hence snowmelt contribution in overall discharge has decreased slightly in the study area. Finally, this study concludes that MOD10A2 and ECMWF precipitation and two-meter temperature products are highly applicable to measure snowmelt and associated discharge through SRM in the BGRB. Moreover, it also helps with proper freshwater planning, efficient use of winter water flow, and mitigating and preventive measures for the flood disaster.

scholarly journals Application of the Snowmelt Runoff Model in the Salang River Basin, Afghanistan Using MODIS Satellite Data

2016 ◽  
Vol 9 (1) ◽  
pp. 109-118
Author(s):  
Hedayatullah Arian ◽  
Rijan B. Kayastha ◽  
Bikas C. Bhattarai ◽  
Ahuti Shresta ◽  
Hafizullah Rasouli ◽  
...  
Keyword(s):  
River Basin ◽  
River Flow ◽  
Snowmelt Runoff ◽  
Annual Average ◽  
Temperature And Precipitation ◽  
Promising Tool ◽  
Daily Discharge ◽  
Input Variables ◽  
The Impact ◽  
Runoff Model

This study is carried out on the Salang River basin, which is located at the northern part of the Kabul River basin, and in the south facing slope of the Hindu Kush Mountains. The basin drains through the Salang River, which is one of the tributaries of the Panjshir River. The basin covers an area of 485.9km2 with a minimum elevation of 1653 m a.s.l. and a maximum elevation of 4770 m a.s.l. The Salang River sustains a substantial flow of water in summer months due to the melting of snow. In this study, we estimate daily discharge of Salang River from 2009 to 2011 using the Snowmelt Runoff Model (SRM, Version 1.12, 2009), originally developed by J. Martinec in 1975. The model uses daily observed precipitation, air temperature and snow cover data as input variables from which discharge is computed. The model is calibrated for the year 2009 and validated for 2010 and 2011. The observed and calculated annual average discharges for the calibration year 2009 are 11.57m3s-1 and 10.73m3s-1, respectively. Similarly, the observed and calculated annual average discharges for the validation year 2010 are 11.55m3s-1 and 10.07m3s-1, respectively and for 2011, the discharges are 9.05 m3s-1 and 9.6m3s-1, respectively. The model is also tested by changing temperature and precipitation for the year 2009. With an increase of 1°C in temperature and 10% in precipitation, the increases in discharge for winter, summer and annually are 21.8%, 13.5% and 14.8%, respectively. With an increase of 2°C in temperature and 20% in precipitation, the increases are 48.5%, 43.3% and 44.1%, respectively. The results obtained suggest that the SRM can be used as a promising tool to estimate the river discharge of the snow fed mountainous river basins of Afghanistan and to study the impact of climate change on river flow pattern of such basins.Journal of Hydrology and Meteorology, Vol. 9(1) 2015, p.109-118

Simulated impact of climate change on hydrology of multiple watersheds using traditional and recommended snowmelt runoff model methodology

2016 ◽  
Vol 7 (4) ◽  
pp. 665-682 ◽  
Author(s):  
Emile Elias ◽  
Albert Rango ◽  
Caitriana M. Steele ◽  
John F. Mejia ◽  
Ruben Baca ◽  
...  
Keyword(s):  
Climate Change ◽  
General Circulation ◽  
General Circulation Models ◽  
Future Application ◽  
Climate Data ◽  
Snowmelt Runoff ◽  
Change Analysis ◽  
The Impact ◽  
Runoff Model ◽  
Impacts Of Climate Change

For more than two decades researchers have utilized the snowmelt runoff model (SRM) to test the impacts of climate change on streamflow of snow-fed systems. SRM developers recommend a parameter shift during simulations of future climate, but this is often omitted. Here we show the impact of this omission on model results. In this study, the hydrological effects of climate change are modeled over three sequential years with typical and recommended SRM methodology. We predict the impacts of climate change on water resources of five subbasins of an arid region. Climate data are downscaled to weather stations. Period change analysis gives temperature and precipitation changes for 55 general circulation models which are then subsampled to produce four future states per basin. Results indicate an increase in temperature between 3.0 and 6.2 °C and an 18% decrease to 26% increase in precipitation. Without modifications to the snow runoff coefficient (cS), mean results across all basins range from a reduction in total volume of 21% to an increase of 4%. Modifications to cS resulted in a 0–10% difference in simulated annual volume. Future application of SRM should include a parameter shift representing the changed climate.

scholarly journals Assessment of Climate Change Impact on Snowmelt Runoff in Himalayan Region

2021 ◽  
Author(s):  
Rohitashw Kumar ◽  
Saika Manzoor ◽  
Dinesh Kumar Vishwakarma ◽  
N. L. Kushwaha ◽  
Ahmed Elbeltagi ◽  
...  
Keyword(s):  
Climate Change ◽  
Temperature Rise ◽  
Model Performance ◽  
High Elevation ◽  
Himalayan Region ◽  
Coefficient Of Determination ◽  
Climate Change Scenarios ◽  
Snowmelt Runoff ◽  
Mountain Environments ◽  
Elevation Data

The current study was planned to simulate runoff due to the snowmelt in the Lidder River catchment of Himalayan region under climate change scenarios. A basic degree-day model, Snowmelt-Runoff Model (SRM) was utilized to assess the hydrological consequences of change in climate. The SRM model performance during the calibration and validation was assessed using volume difference (Dv) and coefficient of determination (R2). The Dv was found as 11.7, -10.1, -11.8, 1.96, and 8.6 during 2009-2014, respectively, while the R2 is 0.96, 0.92, 0.95, 0.90, and 0.94, respectively. The Dv and R2 values indicating that the simulated snowmelt runoff has a close agreement with the observed value. The simulated findings were also assessed under the different scenarios of climate change: a) increases in precipitation by +20 %, b) temperature rise of +2 °C, and c) temperature rise of +2 °C with a 20 % increase in snow cover. In scenario "b", the simulated results showed that runoff increased by 53 % in summer (April–September). In contrast, the projected increased discharge for scenarios "a" and "c" was 37 % and 67 %, respectively. In high elevation data-scarce mountain environments, the SRM is efficient in forecasting future water supplies due to the snowmelt runoff.

scholarly journals Worldwide Testing of the Snowmelt Runoff Model with Applications for Predicting the Effects of Climate Change

1992 ◽  
Vol 23 (3) ◽  
pp. 155-172 ◽  
Author(s):  
A. Rango
Keyword(s):  
Climate Change ◽  
Water Supply ◽  
Snowmelt Runoff ◽  
Climatic Regions ◽  
Temperature And Precipitation ◽  
The World ◽  
Runoff Model ◽  
Hydrological Effects ◽  
Initial Results ◽  
Volume Difference

The Snowmelt-Runoff Model (SRM), a simple degree-day model, has been applied to over 50 basins in 15 countries around the world. Where results have been reported, the average R2 has been 0.84 and the average seasonal volume difference, Dv, has been 3.8 %. The testing of SRM has taken place on basins in different climatic regions, thus setting the stage for using SRM in evaluations of the hydrological effects of climate change. A method for using SRM in evaluations of climate change has been established and tested on several basins. Initial results show some potentially serious problems involving water supply, flooding, and drought. More testing in a variety of climatic regions is necessary along with improved specification of the changes in temperature and precipitation by region.

The Impact of Business Mentoring on Micro, Small, Medium Enterprises Performance

2017 ◽  
Vol 1 (1) ◽  
pp. 31-37
Author(s):  
Mohammad Adrian ◽  
Hendrati Dwi Mulyaningsih ◽  
Santi Rahmawati
Keyword(s):  
Quantitative Research ◽  
Causal Analysis ◽  
Coefficient Of Determination ◽  
Mentoring Program ◽  
Simple Regression Analysis ◽  
Small Medium Enterprises ◽  
Medium Enterprises ◽  
The Impact ◽  
Necessity Entrepreneur ◽  
Simple Regression

This reasearch is conducted on MMSME (Micro Small Medium Enterprises) that are participated in the MMSME Syari’ah Mentoring Program by Academicians and Practitioners (PUSPA) organized by Bank Indonesia in Bandung. MMSME who participated in PUSPA program 2016 is MMSME that included in necessity entrepreneur where MMSME operated just to fullfil the life necessities. The purpose of this reasearch was to investigate the influence of the business mentoring on the MMSME performance in PUSPA program 2016. Researcher used quantitative research method. Data were analyzed using simple regression analysis and descriptive-causal analysis. The result showed that business mentoring affect the performance of MMSME that participated in PUSPA Program 2016. Based on the calculation, coefficient of determination (R2) can be seen the influence of business mentoring variable (X) on the performance (Y) is 74%. While the remaining 26% is influenced by other factors such as entrepreneurship competence and human resources.

The Impact of Entrepreneurial Behavior on Sales Volume

2017 ◽  
Vol 1 (1) ◽  
pp. 1-6
Author(s):  
Adjeng Tiara Eltari ◽  
Hendrati Dwi Mulyaningsih
Keyword(s):  
Quantitative Research ◽  
Coefficient Of Determination ◽  
Sales Volume ◽  
Entrepreneurial Behavior ◽  
Street Vendors ◽  
Quantitative Research Methods ◽  
Entrepreneurial Behaviour ◽  
Full Calculation ◽  
Almost All ◽  
The Impact

This research was conducted at the Culinary Hawkers that located on Highway Sukapura, Dayeuhkolot, Bandung. This study examines the Entrepreneurial behaviour which resulted in increased sales volumes. Almost all Culinary Hawkers on Highway Sukapura doesn’t yet have the entrepreneurial behavior in accordance with the characteristics - traits mentioned by Suryana, Confident, Own initiative, Have achievement motive, Having leadership, and Dare to take risks with the full calculation. The purpose of this study was to investigate the influence of entrepreneurial behavior to the merchant's sales volume culinary pavement on Highway Sukapura, Dayeuhkolot, Bandung.Researchers used quantitative research methods. The population in this study was 63 Merchants Culinary Street on Highway Sukapura. Samples are 63 street vendors in JalanSukapura. Data were analyzed using simple regression analysis.The results showed that entrepreneurial behavior affect the sales volume of culinary street traders in Highway Sukapura. Based on the calculation coefficient of determination (R2) can be seen the effect of entrepreneurial behavior variables (X) on sales volume (Y) is approximately 94%. While the remaining 6% are influenced by other factors such as competence, performance, and motivation.

THE IMPACT OF BUSINESS MENTORING ON MICRO, SMALL, MEDIUM ENTERPRISES PERFORMANCE

2018 ◽  
Vol 1 (1) ◽  
pp. 7
Author(s):  
Mohammad Adrian ◽  
Santi Rahmawati
Keyword(s):  
Research Method ◽  
Quantitative Research ◽  
Coefficient Of Determination ◽  
Mentoring Program ◽  
Simple Regression Analysis ◽  
Small Medium Enterprises ◽  
Medium Enterprises ◽  
The Impact ◽  
Necessity Entrepreneur ◽  
Simple Regression

This reasearch is conducted on MSME (Micro Small Medium Enterprises) that are participated in the MSME Syari’ah Mentoring Program by Academition and Practitioners (PUSPA) organized by Bank Indonesia in Bandung. MSME who participated in PUSPA program 2016 is MSME that included in necessity entrepreneur where MSME operated just to fullfil the life necessities.The purpose of this reasearch was to investigate the influence of the business mentoring on the MSME performance in PUSPA program 2016.Researcher used quantitative research method. Data were analyzed using simple regression analysis and descriptive-causal analysis.The result showed that business mentoring affect the performance of MSME that participated in PUSPA Program 2016. Based on the calculation, coefficient of determination (R2) can be seen the influence of business mentoring variable (X) on the performance (Y) is 74%. While the remaining 26% is influenced by other factors such as entrepreneurship competence and human resources.  

تأثير الاستثمار الاجنبي المباشر في القيمة السوقية للشركة (دراسة تطبيقية في شركة بترو جانيا الصينية في عقود التراخيص النفطية للجولة الاولى والثانية في الحقول النفطية في العراق للمدة من 2017-2010)

2020 ◽  
Vol 2020 (66) ◽  
pp. 65-85
Author(s):  
هيثم عبد النبي موسى ◽  
أ .د حيدر نعمة غالي الفريجي
Keyword(s):  
Foreign Direct Investment ◽  
Stock Prices ◽  
Return On Investment ◽  
Direct Investment ◽  
Inverse Correlation ◽  
Market Value ◽  
Political Stability ◽  
Coefficient Of Determination ◽  
Independent Variable ◽  
The Impact

This study dealt with the effect of foreign direct investment on the market value of the company during the period of time (2010-2017). This issue was studied through a sample of oil fields in southern Iraq in which the company operates within the first and second licensing contracts rounds and according to the circumstances and variables of the investment environment as it is. Although this investment often achieves high returns, it is also characterized by a high degree of risk and for the purpose of evaluating the impact of foreign direct investment on the market value of the company's stock prices for the period (2010-2017). The statistical scale (T-TEST) was used to indicate the significance of the correlation hypotheses. Between the return on investment as the independent variable and the market value as the dependent variable, and the use of the coefficient of determination (R2) that measures the effect of the independent variable (foreign direct investment) on the dependent variable (market value) and the F-Test to demonstrate acceptance or rejection of the hypothesis of the return on investing in the market value of the oil company, and if the company achieves a high return in foreign direct investment, the market value of it will be affected positively. The study was based on a set of goals, including determining the attractiveness of Iraq to foreign investments, especially the oil sector, and the study reached a number of conclusions, the most prominent of which is the existence of a strong inverse correlation between the return on investment and the market value of the company. And the existence of a slight impact of the return on investment on the market value of the company, and the study reached a number of recommendations, the most important of which is activating the investment climate through political stability and the clarity and stability of laws and legislation regulating investment, which is one of the most important factors affecting the investment decision.

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