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Article
Daily suspended sediment yield estimation using soft-computing algorithms for hilly watersheds in a data-scarce situation: a case study of Bino watershed, Uttarakhand
Water erosion creates adverse impacts on agricultural production, infrastructure, and water quality across the world, especially in hilly areas. Regional-scale water erosion assessment is essential, but existi...
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Article
Seasonal rainfall pattern using coupled neural network-wavelet technique of southern Uttarakhand, India
Hydrological data is crucial for accurate forecasting of precipitation which can be used for water resources planning and management. The purpose of this study is to develop a seasonal rainfall forecast model,...
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Article
Comparative Assessment of Improved SVM Method under Different Kernel Functions for Predicting Multi-scale Drought Index
This paper focus on the drought monitoring and forecasting for semi-arid region based on the various machine learning models and SPI index. Drought phenomena are crucial role in the agriculture and drinking pu...
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Article
Application of Innovative Machine Learning Techniques for Long-Term Rainfall Prediction
Rainfall forecasting is critical because it is the componen t that has the strongest link to natural disasters such as landslides, floods, mass movements, and avalanches. The present study focuses on the appli...
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Article
Flood forecasting in Jhelum river basin using integrated hydrological and hydraulic modeling approach with a real-time updating procedure
Flood forecasting using hydrological and hydraulic models is an efficient non-structural flood management option. This paper presents a real-time flood forecasting approach for the data-scarce Jhelum basin, us...
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Article
Spatiotemporal analysis of precipitation and temperature concentration using PCI and TCI: a case study of Khuzestan Province, Iran
Temperature and precipitation are the basic elements of climate, and their variation can change the water demands of different uses. In this study, the trend of temperature and precipitation of Iran’s largest ...
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Article
Application of regression modeling for the prediction of field crop coefficients in a humid sub-tropical agro-climate: a study in Hamirpur district of Himachal Pradesh (India)
Prediction of crop coefficients is important to establish optimized irrigation water scheduling and management practices. In the present study, regression modeling was utilized to predict the field crop coeffi...
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Article
Modeling of stage-discharge using back propagation ANN-, ANFIS-, and WANN-based computing techniques
The development of the stage-discharge relationship is a fundamental issue in hydrological modeling. Due to the complexity of the stage-discharge relationship, discharge prediction plays an essential role in p...
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Article
Spatial and temporal trend analysis of relative humidity in the Himalayan region: a case study
For the assessment of climate change, the trend analysis and statistical significance of relative humidity have recently received a great concern all over the world. The present study was carried out to detect...
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Article
Pan evaporative changes in transboundary Godavari River basin, India
Pan evaporative changes are one of the key components of water resources management of a river basin under changing climate and anthropogenic-induced warming. The present study was undertaken for transboundary...
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Article
Climate change and water resources of Himalayan region—review of impacts and implication
Himalayan region is a fragile zone rich in water resources and biodiversity. The critical balance between the hydrological parameters and the flora and fauna makes it susceptible to larger implications due to ...
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Article
Temporal flood forecasting for trans-boundary Jhelum River of Greater Himalayas
Flood forecasting is a significant tool for river basin management and early flood warning systems. The aim of the present study was to develop annual time series flood forecasting models for River Jhelum in K...
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Chapter and Conference Paper
Trends in Temperature for the Himalayan Environment of Leh (Jammu and Kashmir), India
Climate parameters variability affects significantly on water resources, and therefore on the livelihood of the common people, especially in water scarce countries. The aim of this study was to explore changes...