Effects of climate change on streamflow in the godavari basin simulated using a conceptual model including CMIP6 dataset

NM Reddy, S Saravanan, H Almohamad… - Water, 2023 - mdpi.com
Hydrological reaction to climate change anticipates water cycle alterations. To ensure long-
term water availability and accessibility, it is essential to develop sustainable water …

Predicting optical water quality indicators from remote sensing using machine learning algorithms in tropical highlands of Ethiopia

ES Leggesse, FA Zimale, D Sultan, T Enku… - Hydrology, 2023 - mdpi.com
Water quality degradation of freshwater bodies is a concern worldwide, particularly in Africa,
where data are scarce and standard water quality monitoring is expensive. This study …

Water quality index estimations using machine learning algorithms: a case study of Yazd-Ardakan Plain, Iran

MR Goodarzi, ARR Niknam, A Barzkar, M Niazkar… - Water, 2023 - mdpi.com
Excessive population growth and high water demands have significantly increased water
extractions from deep and semi-deep wells in the arid regions of Iran. This has negatively …

Soft Computing Paradigm for Climate Change Adaptation and Mitigation in Iran, Pakistan, and Turkey: A Systematic Review

M Talha, AP Nejadhashemi, K Moller - Heliyon, 2025 - cell.com
This systematic review examines the application of artificial intelligence (AI), including
machine learning (ML) and deep learning (DL), for climate change adaptation and mitigation …

Near future flash flood prediction in an arid region under climate change

G Al-Rawas, MR Nikoo, SFM Janbehsarayi… - Scientific Reports, 2024 - nature.com
Flash floods represent a significant threat, triggering severe natural disasters and leading to
extensive damage to properties and infrastructure, which in turn results in the loss of lives …

Evaluation of snowmelt impacts on flood flows based on remote sensing using SRM model

MR Goodarzi, M Sabaghzadeh, M Niazkar - Water, 2023 - mdpi.com
Snowmelt is an important source of stream flows in mountainous areas. This study
investigated the impact of snowmelt on flooding. First, the study area was divided into four …

A comparison of machine learning methods for estimation of snow density using satellite images

MR Goodarzi, M Sabaghzadeh… - Water and …, 2024 - Wiley Online Library
Low snow density causes snow to melt quickly, so there is no runoff during the warmer
months of the year. Therefore, knowing the snow density can be useful in determining the …

Machine learning‐based streamflow forecasting using CMIP6 scenarios: Assessing performance and improving hydrological projections and climate change

V Kartal - Hydrological Processes, 2024 - Wiley Online Library
Water is essential for humans as well as for all living organisms to sustain their lives.
Therefore, any climate‐driven change in available resources has significant impacts on the …

Impact of Climate Change on Regional Water Availability and Demand for Agricultural Production: Application of Water Footprint Concept

TR Sreeshna, P Athira, B Soundharajan - Water Resources Management, 2024 - Springer
The sustenance of rice cultivation in a region is highly dependent on future water availability
under changing climate. The dams and reservoirs can play a major role in regional water …

Evaluation of winter snow properties effects on spring soil moisture using satellite images in the Northwest of Iran

MR Goodarzi, M Sabaghzadeh, M Niazkar - Acta Geophysica, 2024 - Springer
Soil moisture plays a key role in hydrology, water soil balance modeling, and drought
assessment. In this study, the effects of snow properties in winter on the soil moisture in …