Spatiotemporal variability of Indian rainfall using multiscale entropy

RK Guntu, M Rathinasamy, A Agarwal, B Sivakumar - Journal of Hydrology, 2020 - Elsevier
Understanding the spatiotemporal variability of rainfall is vital for water resources planning
and management, flood and drought mitigation, and erosion control, among others. Despite …

Accounting for temporal variability for improved precipitation regionalization based on self-organizing map coupled with information theory

RK Guntu, R Maheswaran, A Agarwal, VP Singh - Journal of Hydrology, 2020 - Elsevier
Precipitation regionalization deals with an investigation of the seasonality and its temporal
variability and is useful for a wide variety of applications in hydro-meteorology. The d …

Daily precipitation concentration and Shannon's entropy characteristics: spatial and temporal variability in Iran, 1966–2018

A Mirzaei Hassanlu, M Erfanian, K Javan… - Theoretical and Applied …, 2024 - Springer
Iran's diverse climate and topography lead to variable precipitation distribution over different
time scales. This study examines daily rainfall distribution across 37 Iranian synoptic stations …

Assessing the role of soil engineering properties in gully development and enlargement in southeast Nigeria using geostatistical and novel indexical techniques

JC Egbueri, O Igwe - Environmental Earth Sciences, 2022 - Springer
Over many decades, land degradation, due to gully erosion and landsliding, has remained a
serious threat to land-use management and economic sustainability in southeastern Nigeria …

[PDF][PDF] Temporal variability of precipitation over the Qinghai‐Tibetan Plateau and its surrounding areas in the last 40 years

HL Lu, FF Li, TL Gong, YH Gao, JF Li… - International Journal …, 2023 - researchgate.net
Abstract The Qinghai-Tibet Plateau (QTP) plays a crucial role in regulating the climate and
hydrology over Asia, and studies indicate that the QTP tends to be warm and humid as a …

Inter-comparison of global precipitation data products at the river basin scale

X Hu, Z Zhou, H Xiong, Q Gao, X Cao… - Hydrology …, 2024 - iwaponline.com
While many studies have compared global precipitation datasets at national, continental,
and global scales, few have evaluated these data at river basin scales. This study explored …

Spatial and temporal variability of precipitation based on marginal and apportionment entropy disorder indices in Iran

S Choobeh, H Abghari, M Erfanian - Theoretical and Applied Climatology, 2024 - Springer
Variations in rainfall are a significant characteristic of semi-arid climates, and it is expected
that climate change will increase this variability in many such regions. To effectively plan …

Uncertainty analysis of monthly river flow modeling in consecutive hydrometric stations using integrated data-driven models

K Amininia, SM Saghebian - Journal of Hydroinformatics, 2021 - iwaponline.com
HIGHLIGHTS Kernel extreme learning machine (KELM) and multivariate adaptive
regression splines (MARS) approaches were used for MRF modeling in three successive …

A two-stage multiple-point conceptual model to predict river stage-discharge process using machine learning approaches

F Alizadeh, A Faregh Gharamaleki… - Journal of Water and …, 2021 - iwaponline.com
Due to the complex nature of river stage-discharge process, the present study tried to
develop a unique strategy to predict it precisely. The proposed conceptual strategy has …

Research on China's regional carbon quota allocation based on the entropy weight-TOPSIS method and CRITIC-VIKOR model

Y Zhang, Z Yu, J Zhang, W Zhang - Environment, Development and …, 2024 - Springer
Carbon trading policy is an essential market-oriented emission reduction tool for achieving
China's carbon goals. Developing a reasonable and feasible initial carbon quota allocation …