Water quality prediction using SWAT-ANN coupled approach

N Noori, L Kalin, S Isik - Journal of Hydrology, 2020 - Elsevier
Efficient and accurate prediction of river water quality is challenging due to the complex
hydrological and environmental processes affecting their nature. The challenge is even …

Development of water level prediction models using machine learning in wetlands: A case study of Upo wetland in South Korea

C Choi, J Kim, H Han, D Han, HS Kim - Water, 2019 - mdpi.com
Wetlands play a vital role in hydrologic and ecologic communities. Since there are few
studies conducted for wetland water level prediction due to the unavailability of data, this …

Wetland delineation simulation and prediction in deltaic landscape

S Debanshi, S Pal - Ecological indicators, 2020 - Elsevier
Present study attempts to delineate wetland in Indic part of mature Ganges delta with the
help of satellite images applying convenient water body extraction indices. It is found that the …

Drought forecasting using Markov chain model and artificial neural networks

M Rezaeianzadeh, A Stein, JP Cox - Water resources management, 2016 - Springer
Water resources management is a complex task. It requires accurate prediction of inflow to
reservoirs for the optimal management of surface resources, especially in arid and semi-arid …

Wetland water-level prediction in the context of machine-learning techniques: where do we stand?

T Jayathilake, MB Gunathilake, EM Wimalasiri… - Environments, 2023 - mdpi.com
Wetlands are simply areas that are fully or partially saturated with water. Not much attention
has been given to wetlands in the past, due to the unawareness of their value to the general …

Sensitivity analysis of parameters affecting wetland water levels: A study of flood detention basin, Colombo, Sri Lanka

M Herath, T Jayathilaka, HM Azamathulla, V Mandala… - Sensors, 2023 - mdpi.com
Wetlands play a vital role in ecosystems. They help in flood accumulation, water purification,
groundwater recharge, shoreline stabilization, provision of habitats for flora and fauna, and …

Wetland water level prediction using artificial neural networks—A case study in the Colombo flood detention area, Sri Lanka

T Jayathilake, R Sarukkalige, Y Hoshino… - Climate, 2022 - mdpi.com
Historically, wetlands have not been given much attention in terms of their value due to the
general public being unaware. Nevertheless, wetlands are still threatened by many …

Influences of watershed characteristics on long-term annual and intra-annual water balances over India

J Sinha, S Jha, MK Goyal - Journal of Hydrology, 2019 - Elsevier
Abstract Evaluation of the engrossment of watershed surface characteristics on partitioning
of precipitation to runoff and evapotranspiration is key to inspect the availability of water at …

Effective management of water resources problems in irrigated agriculture through simulation modeling

A Singh - Water Resources Management, 2024 - Springer
Irrigation development is essential to meet global food demands and contributes
significantly to achieving United Nations “Sustainable Development Goals (SDGs) like Zero …

Soil temperature estimation using an artificial neural network and co-active neuro-fuzzy inference system in two different climates

H Zare Abyaneh, M Bayat Varkeshi… - Arabian Journal of …, 2016 - Springer
Soil temperature is an important meteorological parameter which determines the rates of
physical, chemical, and biological reactions in the soil. However, measured values are very …