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Emerging Fields in Hydrology
Defining emerging fieldsEmerging fields in hydrology is challenging, partly because the scope of hydrology in the twenty-first century has expanded...
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Hydrology
Hydrology is a science which deals with rainfall, run-off and floods occurring in nature as a result of hydrologic cycle. One-fourth of earth’s...
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Hybrid and Integrative Evolutionary Machine Learning in Hydrology: A Systematic Review and Meta-analysis
It has been claimed throughout the last two decades that hydrological machine learning (ML) models may produce more accurate and resilient...
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Hydrology and Hydrologic Modelling Proceedings of 26th International Conference on Hydraulics, Water Resources and Coastal Engineering (HYDRO 2021)
This book comprises the proceedings of the 26th International Conference on Hydraulics, Water Resources and Coastal Engineering (HYDRO 2021) focusing...
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HydroVLab, Hydrology Virtual Laboratory
Despite the Information and Communication Technology has been widely applied in online and distance learning, there are still topics, that involve...
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Statistical Methods in Hydrology and Hydroclimatology
This second edition focuses on the application of statistical methods in the field of hydrology and hydroclimatology. Among the latest theories being...
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Hydrology: Problems, Challenges and Opportunities
This paper provides a glimpse of major developments that have occurred in hydrology over the past century and a half. These developments have given...
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Theory of Copula in Hydrology and Hydroclimatology
This chapter deals with an introduction to copula theory and its applications in hydrology and hydroclimatology. The copula theory is relatively new...
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Climate Change Impacts on Vaitarna River Basin Hydrology Using Downscaling Machine Learning Technique
Climate change's impact on hydrology is critical since it affects agriculture, vegetation, and livelihood. This investigation aims to determine...
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Modeling Glacio-Hydrologic Processes of Beas Within a Distributed, Water and Energy Balance-Based Hydrology Model
To analyze the contribution of rainfall, snowmelt/glaciermelt to discharge and quantify their impact in regulating streamflow trend, a process-based...
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The Gumbel kernel for estimating the probability density function with application to hydrology data
The in-depth study of data, such as their precise characteristics or detection of anomalies, necessitates the estimation of the underlying...
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Soil Properties Influencing the Hydrology of Western Ghats: A Case Study in Karnataka
Soil mantles in the Western Ghat regions of South India are so thick that their properties cannot be investigated with the common soil exploration...
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Hydrology and Water Balance Study for the Canadian High Arctic Community of Grise Fiord
In the Canadian Arctic, drinking water availability is scarce and vulnerable to changes such as climate change impacts and increasing community...
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Conclusion
Python has emerged as one of the most popular languages for applications in hydrology, environment, and climate. In this textbook, we have provided...
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Common Hypothesis Testing
Hypothesis testing, also known as significance testing, is widely used in hydrology to determine if the data supports a particular hypothesis. It...
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Introduction
Hydrology is the study of the hydrologic cycleHydrologic cycle. Providing a brief description of the components of the hydrologic cycleHydrologic...
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Graphical Hydrological Data Analysis
Hydrological relationships are often complex and nonlinear, and being able to simplify and interpret data governing such relationships is a vital...
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Python for Water and Environment
This textbook delves into the practical applications of surface and groundwater hydrology, as well as the environment. The Part I, "Practical Python...
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Simulation of Synchronized Controls in Circuit Breakers of Power Transformers and Operation of Reactive Compensation Banks
Alternative solutions to the problem of inrush currents, when the power circuit breaker (CBs) actuates were evaluated using SIMULINK with the VIZIMAX...
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Exploratory Analysis of Hydrological Data
The first step in any investigation is to assess and delve into the dataset. It lets you understand data attributes, spot possible anomalies, and...