scholarly journals Selection of relevant input variables in storm water quality modeling by multiobjective evolutionary polynomial regression paradigm

2016 ◽  
Vol 52 (4) ◽  
pp. 2403-2419 ◽  
Author(s):  
E. Creaco ◽  
L. Berardi ◽  
Siao Sun ◽  
O. Giustolisi ◽  
D. Savic
Keyword(s):  
Water Quality ◽  
Polynomial Regression ◽  
Water Quality Modeling ◽  
Storm Water ◽  
Evolutionary Polynomial Regression ◽  
Quality Modeling ◽  
Input Variables ◽  
Selection Of

scholarly journals Uncertainty Analysis of Watershed-Based Flow and Water Quality Modelling with Different DEM Data Sources

10.29007/bm78 ◽  
2018 ◽  
Author(s):  
Maryam Roostaee ◽  
Zhiqiang Deng
Keyword(s):  
Water Quality ◽  
Watershed Modeling ◽  
Water Quality Modeling ◽  
Agricultural Watershed ◽  
Water Quality Modelling ◽  
Dem Resolution ◽  
Hspf Model ◽  
Quality Modeling ◽  
Data Source ◽  
Selection Of

DEMs are important data required in watershed-based hydrological and water quality modeling since they are employed to derive critical characteristics of watershed through a watershed delineation process. This study aims to analyze the uncertainties associated with DEM sources in watershed modeling and compare them to DEM resolution-originated uncertainties. Toward this end, six different scenarios, involving 3 DEMs of 30-m resolution and 3 DEMs of 90-m resolution from NED, ASTER and SRTM sources, were developed using HSPF model for an agricultural watershed in Iowa, USA. The HSPF model was run for each scenario to produce simulated flow and loads of sediment, nitrate, and phosphorus. Results suggested that the level of uncertainty involved in the DEM sources was considerably (up to twofold) greater than those originated from decreasing DEM resolution. The finding is important to the proper selection of DEM data source and thereby to the reduction of uncertainties involved in watershed-based hydrological and water quality modelling.

Hydrodynamic and Water Quality Modeling of Lake Eğirdir

2014 ◽  
Vol 42 (11) ◽  
pp. 1573-1582 ◽  
Author(s):  
Meltem Kaçıkoç ◽  
Mehmet Beyhan
Keyword(s):  
Water Quality ◽  
Water Quality Modeling ◽  
Quality Modeling

Water quality modeling in the watershed-based approach for waste load allocations

1998 ◽  
Vol 38 (10) ◽  
pp. 165-172 ◽  
Author(s):  
Ruochuan Gu ◽  
Mei Dong
Keyword(s):  
Water Quality ◽  
Point Source ◽  
Water Quality Modeling ◽  
Point Sources ◽  
Low Flow ◽  
Quality Analysis ◽  
Management Approach ◽  
Water Quality Control ◽  
Quality Modeling ◽  
Waste Load

The conventional method for waste load allocations (WLA) employs spatial-differentiation, considering individual point sources, and temporal-integration, using a constant flow, typically 7Q10 low flow. This paper presents a watershed-based seasonal management approach, in which non-point source as well as point sources are incorporated, seasonal design flows are used for water quality analysis, and WLA are performend in a watershed scale. The strategy for surface water quality modeling in the watershed-based approach is described. The concept of seasonal discharge management is discussed and suggested for the watershed-based approach. A case study using the method for the Des Moines River, Iowa, USA is conducted. Modeling considerations and procedure are presented. The significance of non-point source pollutant load and its impact on water quality of the river is evaluated by analyzing field data. A water quality model is selected and validated against field measurements. The model is applied to projections of future water quality situations under different watershed management and water quality control scenarios with respect to river flow and pollutant loading rate.

Sign in / Sign up

Export Citation Format

Share Document