Spatial flood susceptibility prediction in Middle Ganga Plain: comparison of frequency ratio and Shannon's entropy models

A Arora, M Pandey, MA Siddiqui, H Hong… - Geocarto …, 2021 - Taylor & Francis
This work focuses on comparing results of flood susceptibility modelling in the part of Middle
Ganga Plain, Ganga foreland basin. Following inclusivity rule, 12 major flood explanatory …

Climate and hydrological models to assess the impact of climate change on hydrological regime: a review

R Kour, N Patel, AP Krishna - Arabian Journal of Geosciences, 2016 - Springer
Quantitative knowledge about the impacts of climate change on the hydrological regime is
essential in order to achieve meaningful insights to address various adverse consequences …

Flood susceptibility modeling based on new hybrid intelligence model: Optimization of XGboost model using GA metaheuristic algorithm

NTT Linh, M Pandey, S Janizadeh, GS Bhunia… - Advances in Space …, 2022 - Elsevier
Flood is the most common natural hazard that causing unprecedented loss of life and
property in the world. In recent years, flood damage has increased due to human …

Comparison of machine learning techniques and spatial distribution of daily reference evapotranspiration in Türkiye

D Yildirim, E Küçüktopcu, B Cemek, H Simsek - Applied Water Science, 2023 - Springer
Reference evapotranspiration (ET0) estimates are commonly used in hydrologic planning
for water resources and agricultural applications. Last 2 decades, machine learning (ML) …

Neural network techniques for time series prediction: A review

MF Mushtaq, U Akram, M Aamir, H Ali… - … : International Journal on …, 2019 - joiv.org
It is important to predict a time series because many problems that are related to prediction
such as health prediction problem, climate change prediction problem and weather …

Estimation of tile drainage contribution to streamflow and nutrient loads at the watershed scale based on continuously monitored data

A Arenas Amado, KE Schilling, CS Jones… - Environmental …, 2017 - Springer
Nitrogen losses from artificially drained watersheds degrade water quality at local and
regional scales. In this study, we used an end-member mixing analysis (EMMA) together …

Comparison of the performance of SWAT, IHACRES and artificial neural networks models in rainfall-runoff simulation (case study: Kan watershed, Iran)

M Ahmadi, A Moeini, H Ahmadi… - … of the Earth, Parts A/B/C, 2019 - Elsevier
The catchment area is essentially a heterogeneous dynamic, time and space hydrological
system, and so the process of rainfall-runoff transmission in the catchment area is a very …

Evaluation of TRMM 3B42V7 and CHIRPS satellite precipitation products as an input for hydrological model over Eastern Nile Basin

H Abdelmoneim, MR Soliman, HM Moghazy - Earth Systems and …, 2020 - Springer
Nowadays, precipitation estimations based on satellite products (PESPs) have become an
alternative source of sparse rainfall gauge data for various hydrologic applications …

Temporal and spatial comparison of agricultural drought indices from moderate resolution satellite soil moisture data over Northwest Spain

M Pablos, J Martinez-Fernandez, N Sanchez… - Remote sensing, 2017 - mdpi.com
During the last decade, a variety of agricultural drought indices have been developed using
soil moisture (SM), or any of its surrogates, as the primary drought indicator. In this study, a …

Application of statistical and geostatistical approaches in temporal and spatial estimations of rainfall

H Karami, H Ghazvinian… - Journal of Water and …, 2023 - iwaponline.com
This study is the first study that worked on the temporal and spatial distributions of annual
rainfall (P year) and maximum 24-h rainfall (P max24h) in the Semnan province. For this …