排序方式： 共有6条查询结果，搜索用时 15 毫秒
1
1.
Rivers in the Liaohe River Estuary area have been seriously polluted by discharges of wastewater containing petroleum pollutants and nutrients. In this paper, The Enhanced Stream Water Quality Model (QUAL2K) and its revised model as well as One-dimensional Tide Mean Model (1D model) were applied to predict and assess the water quality of the tidal river reach of the Liaohe River Estuary. Dissolved oxygen (DO), biochemical oxygen demand (BOD5), ammonia nitrogen (NH3-N) and total phosphorus (TP) were chosen as water quality indices in the two model simulations. The modelled results show that the major reasons for degraded rivers remain petroleum and non-point source pollution. Tidal water also has a critical effect on the variation of water quality. The sensitivity analysis identifies that flow rate, point load and diffuse load are the most sensitive parameters for the four water quality indices in the revised QUAL2K simulation. Uncertainty analysis based on a Monte Carlo simulation gives the probability distribution of the four water quality indices at two locations (6.50 km and 44.84 km from the river mouth). The statistical outcomes indicate that the observed data fall within the 90% confidence intervals at all sites measured, and show that the revised QUAL2K gives better results in simulating the water quality of a tidal river. 相似文献
2.
大沽河干流青岛段水环境容量研究 总被引：4，自引：1，他引：4
本文根据大沽河的水流特性和水文、水质实测资料 ,利用 QUAL2 E综合水质模型 ,分析确定了大沽河干流丰水期和平水期的水环境容量。又利用水库水环境容量的计算方法 ,确定了大沽河干流枯水期的水环境容量。大沽河干流水环境容量的确定 ,可用于河流的水质模拟和预测 ,为实施大沽河污染物总量控制提供基础资料 ,为大沽河流域水污染控制的管理和决策提供科学依据 相似文献
3.
Development of a framework of automated water quality parameter optimization and its application 总被引：1，自引：0，他引：1
This paper presents a methodology and framework for the development of an automated least-squares optimization tool for calibrating
water quality parameters in QUAL2E. The method has been applied to estimate the optimal water quality parameters in simulation
of stream water quality for the Anyang stream in Korea. The Monte Carlo analysis is used to assess the relative importance
of model parameters for water quality constituents. It is found that μmax and ρ are the most influential parameters for Chlorophyll-a modeling and K
1 and K
3 are critical parameters for variation of DO and BOD in the Anyang stream. A computer program for automated parameter calibration
has been developed using a nonlinear GRG optimization algorithm. The application framework provides an intuitive and easy-to-use
interface and allows visual evaluation of results. According to the simulation results, the automated approach is computationally
efficient for evaluation of model parameters and converges on a best fit more rapidly and reliably than a trial and error
method. The methodology proposed herein can be extended to other models to obtain the best possible parameter values. 相似文献
4.
Pandara V. Femeena Indrajeet Chaubey Antoine Aubeneau Sara K. McMillan Paul D. Wagner Nicola Fohrer 《水文研究》2020,34(11):2599-2611
Hydrological models have long been used to study the interactions between land, surface and groundwater systems, and to predict and manage water quantity and quality. The soil and water assessment tool (SWAT), a widely used hydrological model, can simulate various ecohydrological processes on land and subsequently route the water quality constituents through surface and subsurface waters. So far, in-stream solute transport algorithms of the SWAT model have only been minimally revised, even though it has been acknowledged that an improvement of in-stream process representation can contribute to better model performance with respect to water quality. In this study, we aim to incorporate a new and improved solute transport model into the SWAT model framework. The new process-based model was developed using in-stream process equations from two well established models—the One-dimensional Transport with Inflow and Storage model and the Enhanced Stream Water Quality Model. The modified SWAT model (Mir-SWAT) was tested for water quality predictions in a study watershed in Germany. Compared to the standard SWAT model, Mir-SWAT improved dissolved oxygen (DO) predictions by removing extreme low values of DO (<6 mg/L) simulated by SWAT. Phosphate concentration peaks were reduced during high flows and a better match of daily predicted and measured values was attained using the Mir-SWAT model (R2 = 0.17, NSE = −0.65, RSR = 1.29 with SWAT; R2 = 0.28, NSE = −0.04, RSR = 1.02 with Mir-SWAT). In addition, Mir-SWAT performed better than the SWAT model in terms of Chlorophyll-a content particularly during winter months, improving the NSE and RSR for monthly average Chl-a by 74 and 42%, respectively. With the new model improvements, we aim to increase confidence in the stream solute transport component of the model, improve the understanding of nutrient dynamics in the stream, and to extend the applicability of SWAT for reach-scale analysis and management. 相似文献
5.
Results from the application of the two‐dimensional, laterally‐averaged hydrodynamic model, CE‐QUAL‐W2 to Akaroa Harbour, New Zealand were compared with 3 months of temperature and current data to investigate the connection between significant wind‐driven circulation and vertical mixing. Results indicate that in general, CE‐QUAL‐W2 reproduced realistic values for width‐averaged along‐Harbour current speeds and water column temperature structure. However, during periods of strong winds, the mixed layer depth was predicted to be shallower than observed; c. one‐third as compared to c. one‐half. Simulations of tidally‐driven flow highlighted the restrictions of the two‐dimensionality imposed by the model, though this type of flow was not found to result in appreciable mixing of the water column. Data from an independent field survey supported the validity of the use of CE‐QUAL‐W2 under (at least) light‐to‐moderate sea‐breeze conditions. 相似文献
6.
1