scholarly journals Development of an Integrated Modelling System for Evaluating Water Quantity and Quality Effects of Individual Wetlands in an Agricultural Watershed

Water ◽  
2018 ◽  
Vol 10 (6) ◽  
pp. 774 ◽  
Author(s):  
Yongbo Liu ◽  
Wanhong Yang ◽  
Hui Shao ◽  
Zhiqiang Yu ◽  
John Lindsay
Keyword(s):  
Agricultural Watershed ◽  
Integrated Modelling ◽  
Water Quantity ◽  
Modelling System ◽  
Water Quantity And Quality

Simulated wetland conservation-restoration effects on water quantity and quality at watershed scale

2010 ◽  
Vol 91 (7) ◽  
pp. 1511-1525 ◽  
Author(s):  
Xixi Wang ◽  
Shiyou Shang ◽  
Zhongyi Qu ◽  
Tingxi Liu ◽  
Assefa M. Melesse ◽  
...  
Keyword(s):  
Wetland Conservation ◽  
Water Quantity ◽  
Watershed Scale ◽  
Water Quantity And Quality

An integrated modelling system for coastal area dynamics

1994 ◽  
Vol 19 (3) ◽  
pp. 181-206 ◽  
Author(s):  
K. A. Klevanny ◽  
G. V. Matveyev ◽  
N. E. Voltzinger
Keyword(s):  
Coastal Area ◽  
Integrated Modelling ◽  
Modelling System

Integrated modelling under uncertainty in watershed-level assessment and management

2007 ◽  
Vol 56 (8) ◽  
pp. 31-39 ◽  
Author(s):  
J.H. Ham ◽  
C.G. Yoon ◽  
K.W. Jung ◽  
J.H. Jang
Keyword(s):  
Water Quality ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Watershed Management ◽  
Management Practices ◽  
Control Measures ◽  
Integrated Modelling ◽  
Quality Prediction ◽  
Water Quality Prediction ◽  
Modelling System

Uncertainty in water quality model predictions is inevitably high due to natural stochasticity, model uncertainty, and parameter uncertainty. An integrated modelling system (modified-BASINS) under uncertainty is described and demonstrated for use in receiving-water quality prediction and watershed management. A Monte Carlo simulation was used to investigate the effect of various uncertainty types on output prediction. Without pollution control measures in the watershed, the concentrations of total nitrogen (T-N) and total phosphorus (T-P) in the Hwaong Reservoir, considering three uncertainty types, would be less than about 4.4 and 0.23 mg L−1, respectively, in 2012, with 90% confidence. The effects of two watershed management practices, wastewater treatment plants (WWTP) and constructed wetlands (WETLAND), were evaluated. The combined scenario (WWTP + WETLAND) was the most effective at improving reservoir water quality, bringing concentrations of T-N and T-P in the Hwaong Reservoir to less than 3.4 and 0.14 mg L−1, 24 and 41% improvements, respectively, with 90% confidence. Overall, the Monte Carlo simulation in the integrated modelling system was practical for estimating uncertainty and reliable in water quality prediction. The approach described here may allow decisions to be made based on the probability and level of risk, and its application is recommended.

Modelling of Atrazine Loss in Surface Runoff from Agricultural Watershed

2003 ◽  
Vol 38 (4) ◽  
pp. 585-606 ◽  
Author(s):  
Bing Chen ◽  
Yifan Li ◽  
Guohe Huang ◽  
John Struger ◽  
Baiyu Zhang ◽  
...  
Keyword(s):  
Environmental Sustainability ◽  
Surface Runoff ◽  
Statistical Significance ◽  
Water Quality Management ◽  
Soil Layer ◽  
Agricultural Watershed ◽  
Integrated Modelling ◽  
Distributed Hydrological Model ◽  
Adsorption Model ◽  
Significance Level

Abstract There have been growing concerns over the negative effect of pesticide usage on human health and environmental sustainability. It has been found out that atrazine, a widely used herbicide, threatens ecosystems. Its residues after application can be discharged into water bodies, and thus contaminate surface water and pose risks to public health. An integrated modelling system was developed to estimate atrazine losses through surface runoff. This model includes a distributed hydrological model, a pesticide adsorption model, relational databases, and a geographic information system. The proposed model can simulate atrazine losses due to runoff through the consideration of emission, degradation, adsorption, and movement of atrazine in dissolved and adsorbed phases at the top soil layer. A case study was carried out in the Auglaize-Blanchard Watershed. A comparison between observed and predicted data during May 1997 to April 1998 was conducted. The correlation coefficients are over 0.9 and the statistical significance level was approximately 5%, indicating a reasonable prediction accuracy. The modelling results provide useful decision support for water quality management.

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