An analysis of long-term rainfall trends and variability in the uttarakhand himalaya using google earth engine
This paper analyses the spatio-temporal trends and variability in annual, seasonal, and
monthly rainfall with corresponding rainy days in Bhilangana river basin, Uttarakhand …
monthly rainfall with corresponding rainy days in Bhilangana river basin, Uttarakhand …
Assessment of drought variability using SPEI under observed and projected climate scenarios over Uttar Pradesh, India
Drought is a widely occurring natural extreme that causes more severe negative impacts in
the continuation of changing climate. This study presents the assessment of drought …
the continuation of changing climate. This study presents the assessment of drought …
Trend analysis of hydrological parameters of Ganga River
Ganga River basin, being the largest river basin in India, adheres with its social and spiritual
importance for the country. Although many studies have been conducted on the Ganga …
importance for the country. Although many studies have been conducted on the Ganga …
Modeling of Bunus regional sewage treatment plant using machine learning approaches
Certain aspects of the dynamics of wastewater treatment plants appear to be chaotic, which
makes modeling of the process of wastewater treatment plants extremely difficult. An …
makes modeling of the process of wastewater treatment plants extremely difficult. An …
Analyzing trend and forecasting of temperature and rainfall in Shimla district of Himachal Pradesh, India using non-parametric and bagging REPTree machine …
The changing pattern of climate variables has caused extreme weather events and severe
disasters, especially in mountainous regions. Such events have a detrimental impact on …
disasters, especially in mountainous regions. Such events have a detrimental impact on …
[HTML][HTML] Downscaling Daily Reference Evapotranspiration Using a Super-Resolution Convolutional Transposed Network
The current work proposes a novel super-resolution convolutional transposed network
(SRCTN) deep learning architecture for downscaling daily climatic variables. The algorithm …
(SRCTN) deep learning architecture for downscaling daily climatic variables. The algorithm …
Impacts of future weather and climate extremes on United States infrastructure: Assessing and prioritizing adaptation actions
Task Committee on Future Weather and Climate … - 2021 - ascelibrary.org
The condition of a nation's infrastructure and its fragility or resilience to extreme weather and
climate events are the foundation of its overall economic strength and position in the world …
climate events are the foundation of its overall economic strength and position in the world …
Harnessing Geospatial Technology for Sustainable Development: A Multifaceted Analysis of Current Practices and Future Prospects
The goal of sustainable development is to strike a balance between societal advancement
and environmental protection. The demand for tools and approaches to address and …
and environmental protection. The demand for tools and approaches to address and …
Appraisal of long-term hydrological variability in the Luni River Basin: a quantitative statistical approach
H Deopa, MR Resmi - Theoretical and Applied Climatology, 2024 - Springer
For the present study, a quantitative statistical approach has been used to understand the
spatiotemporal hydrological variability in the Luni River Basin from 1980 to 2020. To …
spatiotemporal hydrological variability in the Luni River Basin from 1980 to 2020. To …
Dimensionality Reduction of the CORDEX-CA GCM-RCM Multimodel-Ensemble on Precipitation Using Principal Component Analysis (PCA) and Hierarchical …
M Mendez, LA Calvo-Valverde… - E3S Web of …, 2024 - e3s-conferences.org
Principal Component Analysis (PCA) and Hierarchical Clustering (HC) were applied to
reduce the dimensionality of a 19-member multimodel-ensemble combining different …
reduce the dimensionality of a 19-member multimodel-ensemble combining different …