Review of watershed-scale water quality and nonpoint source pollution models
Watershed-scale nonpoint source (NPS) pollution models have become important tools to
understand, evaluate, and predict the negative impacts of NPS pollution on water quality …
understand, evaluate, and predict the negative impacts of NPS pollution on water quality …
[BOOK][B] Computational river dynamics
W Wu - 2007 - taylorfrancis.com
Comprehensive text on the fundamentals of modeling flow and sediment transport in rivers
treating both physical principles and numerical methods for various degrees of complexity …
treating both physical principles and numerical methods for various degrees of complexity …
Water quality evolution mechanism modeling and health risk assessment based on stochastic hybrid dynamic systems
Z Zhao, Y Zhou, X Wang, Z Wang, Y Bai - Expert Systems with Applications, 2022 - Elsevier
Water quality assessment analysis is an important technical means for water pollution
prevention and control. In this research area, mechanism models and real observation data …
prevention and control. In this research area, mechanism models and real observation data …
[PDF][PDF] Assessment of Some Existing Water Quality Models.
KO Olowe - Nature Environment & Pollution Technology, 2018 - neptjournal.com
One of the fundamental components of the environment which determine the existence of
life on earth is the availability of freshwater for the use of humans and aquatic animals …
life on earth is the availability of freshwater for the use of humans and aquatic animals …
Global patterns and sources of dissolved organic matter export to the coastal zone: Results from a spatially explicit, global model
JA Harrison, N Caraco… - Global biogeochemical …, 2005 - Wiley Online Library
Here we describe, test, and apply a system of spatially explicit, global models for predicting
river export of three dissolved organic matter (DOM) components: dissolved organic carbon …
river export of three dissolved organic matter (DOM) components: dissolved organic carbon …
A comparative analysis of artificial neural networks and wavelet hybrid approaches to long-term toxic heavy metal prediction
The occurrence of toxic metals in the aquatic environment is as caused by a variety of
contaminations which makes difficulty in the concentration prediction. In this study …
contaminations which makes difficulty in the concentration prediction. In this study …
The integration of nature-inspired algorithms with least square support vector regression models: application to modeling river dissolved oxygen concentration
The current study investigates an improved version of Least Square Support Vector
Machines integrated with a Bat Algorithm (LSSVM-BA) for modeling the dissolved oxygen …
Machines integrated with a Bat Algorithm (LSSVM-BA) for modeling the dissolved oxygen …
[BOOK][B] Coastal lagoons: ecosystem processes and modeling for sustainable use and development
IE Gonenc, JP Wolflin - 2004 - taylorfrancis.com
Coastal Lagoons: Ecosystem Processes and Modeling for Sustainable Use and
Development describes the concepts, models, and data needed to design and implement …
Development describes the concepts, models, and data needed to design and implement …
[HTML][HTML] Modeling distributed metal pollution transport in a mine impacted catchment: Short and long-term effects
C Sui, S Fatichi, P Burlando, E Weber… - Science of The Total …, 2022 - Elsevier
A spatially distributed trace metal transport and transformation module was developed and
implemented within the hydrological model TOPKAPI-ETH. The new module can be used to …
implemented within the hydrological model TOPKAPI-ETH. The new module can be used to …
Three-dimensional augmentation for hyperspectral image data of water quality: an integrated approach using machine learning and numerical models
This research introduces a comprehensive methodology to enhance hyperspectral image
data (HSD) utility, specifically focusing on the three-dimensional (3-D) augmentation of …
data (HSD) utility, specifically focusing on the three-dimensional (3-D) augmentation of …