scholarly journals Application of Export Coefficient Model and QUAL2K for Water Environmental Management in a Rural Watershed

2019 ◽  
Vol 11 (21) ◽  
pp. 6022 ◽  
Author(s):  
Zhuohang Xin ◽  
Lei Ye ◽  
Chi Zhang
Keyword(s):  
Water Quality ◽  
Environmental Management ◽  
Crop Production ◽  
Point Sources ◽  
Pollution Sources ◽  
Total Contribution ◽  
Export Coefficient Model ◽  
Export Coefficient ◽  
Assimilation Capacity ◽  
Water Environmental Management

Water quality deterioration caused by excessive nutrient discharge from various point and non-point sources are a global challenge. Understanding the pollution sources and their respective contribution is the prerequisite for environmental planning, management and restoration. In this study, the influence of complex pollution sources on the water quality of the Dengsha River watershed in Dalian, China, was investigated. The export coefficient method was coupled with the QUAL2K water quality model to estimate the loads of ammonia nitrogen (NH4-N) and total phosphorus (TP) from different sources, and to explore their respective contributions. Results indicated that animal feedlot and crop production were major sources for NH4-N load, and crop production, soil erosion and animal feedlot are the largest three sources of TP load with an annual total contribution of 98.4%. The pollutant load exhibited an intra-annual variation mainly due to the seasonality of rainfall and anthropogenic agricultural activities. The overall waste assimilation capacity (WAC) is overloaded and suggestions for water pollution control and treatment regarding each pollution source were proposed. This study addressed a new application of QUAL2K model coupled with the export coefficient model for watershed managers towards a sustainable water environmental management, and can therefore be a reference example for other small and medium-sized rural watersheds.

scholarly journals Necessity of Acknowledging Background Pollutants in Management and Assessment of Unique Basins

Water ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 1103 ◽  
Author(s):  
Maoqing Duan ◽  
Xia Du ◽  
Wenqi Peng ◽  
Shijie Zhang ◽  
Liuqing Yan
Keyword(s):  
Water Quality ◽  
Evaluation Method ◽  
Mechanistic Model ◽  
Water Quality Management ◽  
Ammonia Nitrogen ◽  
Management Decision ◽  
Yield Coefficient ◽  
Sewage Discharge ◽  
Export Coefficient Model ◽  
Export Coefficient

The limitations of water quality management and assessment methods in China can be ascertained by comparison with other countries. However, it is unreasonable to use a uniform standard to evaluate water quality throughout China because one standard cannot fully account for the regional differences in background water quality. This study aimed to provide a basis for environmental water management decision-making. Areas seriously affected by background pollutants were identified by comparing several factors across 31 provinces in China. By coupling an improved export coefficient model (ECM) with a mechanistic model, a suitable pollutant yield coefficient was determined and its rationality was analysed. The export coefficient model was applied to estimate the pollutant (chemical oxygen demand and ammonia nitrogen) output of the basin in 2015. The spatial distribution characteristics of the pollutants were determined by simulating the pollutant outputs of 22 sub-basins and nine water function zones. For the year 2020, the simulation results of pollutant outputs far exceed the sewage discharge limit in water function zones and the pollutant concentration was much higher than the standard. Considering background pollutant outputs, more reasonable sewage discharge limit and water quality evaluation method are proposed.

Modeling the effects of point and non-point source pollution on a diversion channel from Yellow River to an artificial lake in China

2015 ◽  
Vol 71 (12) ◽  
pp. 1806-1814 ◽  
Author(s):  
X. P. Gao ◽  
G. N. Li ◽  
G. R. Li ◽  
C. Zhang
Keyword(s):  
Water Quality ◽  
Point Source ◽  
Yellow River ◽  
Point Sources ◽  
Pollution Sources ◽  
Main Stream ◽  
Artificial Lake ◽  
Diversion Channel ◽  
Wei River

The Dragon lake diversion channel (DLDC) is the only river that recharges Dragon Lake, an artificial lake in China. This paper examines the main factors influencing water quality by investigating point source and non-point source pollutants along the main route. Based on the complicated system of rivers and desilting basins, a three-dimensional water quality model using environmental fluid dynamics code (EFDC) was developed. The model of DLDC was calibrated and verified using observed data. The error ranges of river water level, total phosphorus, total nitrogen and chemical oxygen demand were within 5%, 10%, 16% and 20%, respectively, all of which meet the precision requirement. The model was employed to predict the concentrations of pollutants in the main stream under current pollution loads within a year and a flood lasting for 24 hours. The results revealed that the main pollution sources that influence the water quality of waterways were the point sources followed by the non-point pollution sources. Water quality improved when large water quantities were delivered and this trend can be described as dilution. The water quality of the Dongfeng main channel meets the requirement; however, the water quality of the Dongfeng River is somewhat poor, and the water quality of the Wei River is seriously contaminated. To address these problems, we suggest that the Dongfeng River and Wei River adopt a culvert under its riverbeds.

scholarly journals Assessment of Surface Water Quality of Noyyal River Using Wasp Model

2018 ◽  
Vol 7 (1) ◽  
pp. 37-40
Author(s):  
G. Mahalakshm .
Keyword(s):  
Water Quality ◽  
Environmental Management ◽  
Tamil Nadu ◽  
Management Strategies ◽  
Surface Water Quality ◽  
Quality Model ◽  
Water Quality Simulation ◽  
Environmental Management Strategies ◽  
Water Environmental Management

The Noyyal River is a tributary of river Cauvery has been one of the most predominant and important rivers of Tamil Nadu. Unfortunately, certain stretches of river Noyyal are polluted due to effluent discharge from the industries and domestic sewage. The effective water environmental management strategies required to be implemented in this river to upgrade the water quality and to ensure sustainable development in the region. The aim of this work was to provide a basis for water environmental management in process of making important decisions. In this study WASP (Water Quality Simulation Program) is used as a model to identify the processes that underlie river water quality problems in a basin. WASP was recommended by EPA used as water quality model. Simulated values of Nitrate (NO3), Dissolved Oxygen (DO), Total Dissolved Solids (TDS), Alkalinity and pH demonstrated the accuracy of the model and despite a significant data shortage in the study area. WASP model was found to be an acceptable tool for the assessment of water quality.

scholarly journals Assessment of runoff nitrogen load reduction measures for agricultural catchments

2018 ◽  
Vol 10 (1) ◽  
pp. 403-412 ◽  
Author(s):  
Marta Martínková ◽  
Tomáš Hejduk ◽  
Petr Fučík ◽  
Jan Vymazal ◽  
Martin Hanel
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Land Use Change ◽  
Agricultural Land ◽  
Nitrate Nitrogen ◽  
Nitrogen Sources ◽  
Point Sources ◽  
Pollution Sources ◽  
Agricultural Land Use ◽  
Physical Factors

AbstractWater quality in rural catchments is influenced by many societal and bio-physical factors (e.g. different pollution sources, land use and land cover changes). Good ecological status and surface water quality are currently challenged mainly due to different poorly identified pollution sources. The main objective of this study is to estimate the potential of different measures (land use changes and/or reduction in point sources) and their combinations in decreasing the nitrate-nitrogen load from Jankovský stream catchment. The eco-hydrological model SWIM, which simulates dynamics of nutrients in a catchment was used in the study. The simulations for scenario measures showed that nitrate-nitrogen loads at the outlet can be decreased more by reduction of municipal nitrate-nitrogen sources rather than by agricultural land-use change. Overall, the modeling results demonstrated that the most effective scenario was the combination of total reduction of municipal nitrate-nitrogen sources and agricultural land-use change.

scholarly journals ESTIMATION OF PHOSPHORUS EMISSIONS IN THE UPPER IGUAZU BASIN (BRAZIL) USING GIS AND THE MORE MODEL

2016 ◽  
Vol XLI-B8 ◽  
pp. 299-304 ◽  
Author(s):  
E. A. Acosta Porras ◽  
R. T. Kishi ◽  
S. Fuchs ◽  
S. Hilgert
Keyword(s):  
Water Quality ◽  
Drainage Basin ◽  
Digital Terrain Model ◽  
Surface Water Quality ◽  
Point Sources ◽  
Pollution Sources ◽  
Water Bodies ◽  
Sanitary Sewer ◽  
Average Size ◽  
Pollution Loads

Pollution emissions into the drainage basin have direct impact on surface water quality. These emissions result from human activities that turn into pollution loads when they reach the water bodies, as point or diffuse sources. Their pollution potential depends on the characteristics and quantity of the transported materials. The estimation of pollution loads can assist decision-making in basin management. Knowledge about the potential pollution sources allows for a prioritization of pollution control policies to achieve the desired water quality. Consequently, it helps avoiding problems such as eutrophication of water bodies. The focus of the research described in this study is related to phosphorus emissions into river basins. The study area is the upper Iguazu basin that lies in the northeast region of the State of Paraná, Brazil, covering about 2,965 km<sup>2</sup> and around 4 million inhabitants live concentrated on just 16% of its area. <br><br> The MoRE (Modeling of Regionalized Emissions) model was used to estimate phosphorus emissions. MoRE is a model that uses empirical approaches to model processes in analytical units, capable of using spatially distributed parameters, covering both, emissions from point sources as well as non-point sources. In order to model the processes, the basin was divided into 152 analytical units with an average size of 20 km<sup>2</sup>. Available data was organized in a GIS environment. Using e.g. layers of precipitation, the Digital Terrain Model from a 1:10000 scale map as well as soils and land cover, which were derived from remote sensing imagery. Further data is used, such as point pollution discharges and statistical socio-economic data. The model shows that one of the main pollution sources in the upper Iguazu basin is the domestic sewage that enters the river as point source (effluents of treatment stations) and/or as diffuse pollution, caused by failures of sanitary sewer systems or clandestine sewer discharges, accounting for about 56% of the emissions. Second significant shares of emissions come from direct runoff or groundwater, being responsible for 32% of the total emissions. Finally, agricultural erosion and industry pathways represent 12% of emissions. This study shows that MoRE is capable of producing valid emission calculation on a relatively reduced input data basis.

Calculation of Water Environmental Capacity for a Eutrophicated Reservoir

2012 ◽  
Vol 518-523 ◽  
pp. 4078-4083
Author(s):  
Fei Dong ◽  
Wen Qi Peng ◽  
Xiao Bo Liu
Keyword(s):  
Water Quality ◽  
Environmental Management ◽  
Environmental Capacity ◽  
Scientific Support ◽  
Water Environmental Capacity ◽  
Variation Characteristics ◽  
Water Quality Status ◽  
And Control ◽  
Water Environmental Management ◽  
Quality Status

This paper analyzed the concept of water environmental capacity and the relation between water environmental capacity and control of reservoir eutrophication. A method, which is based on evaluating the water quality status and variation characteristics of the reservoir, to calculate the water environmental capacity of eutrophicated reservoir was put forward. Taking Shizitan Reservoir as an example, the water environmental capacity for TN, TP and COD of this eutrophicated reservoir in China were calculated by the method. A method, which could be used in the areas of short of data, to determine the retention coefficients of TN and TP was put forward in this case. In addition, the pollution gross control of the reservoir was analyzed according to the water environmental capacity and the pollutants discharged into the reservoir. The results show that the methods which were put forward in this study could be used to calculate the water environmental capacity of eutrophicated reservoirs, and this study could provide scientific support to the water environmental management.

scholarly journals Spatial and Temporal Water Quality Evaluation of Heavy Metals of Habbaniyah Lake, Iraq

2021 ◽  
Vol 16 (4) ◽  
pp. 467-475
Author(s):  
Huda Sulaiman Ghalib ◽  
Majeed Mattar Ramal
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Heavy Metal ◽  
Principal Component ◽  
Dry Season ◽  
Point Sources ◽  
Pollution Sources ◽  
Water Levels ◽  
Anthropogenic Sources ◽  
Wet Season

Heavy metal concentrations in a water sample from Habbaniyah Lake (HL), Iraq (Cr, Cd, Ni, Fe, Co, Zn, Pb, and Cu). Thirty-three sites were chosen in the research area from October 2020 to April 2021 to evaluate emissions of heavy metals during two seasons (dry and wet). Spectrophotometer for atomic absorption was used to test heavy metal concentration (USA Phoenix-986). The findings of the study indicate that water levels were concentrated Cr>Ni >Fe>Co>Pb>Zn=Cd=Cu during the dry season and the wet season Cr>Fe>Pb>Co>Ni=Zn=Cd=Cu. HMPI and HMEI were both used to assess the level of water supply toxicity of heavy metals in the area of research. In Habbaniyah Lake water, several concentrations of heavy metals exceed the criteria for drinking and water life such as Co and Pb were exceed the allowed limits of WHO, CCME in the dry and wet seasons. The study area's human, agricultural and industrial activities and human population resulted in a rise in heavy element concentrations including Cr that surpassed the WHO, CCME, FAO, EPA, and IQS. The mean values of (Cd, Zn, and Cu) during dry and wet seasons were non-consistent in all stations. The average value of Ni was above water life limit during the dry season. The average values of CD, HMPI, and HMEI during the wet season were 20.8984, 57.8248 and 24.8977 and in the dry season were 17.3745, 61.8769, and 22.3747 respectively. Results indicate that HL is highly contaminated with HMs according to national and international guidelines, (CD), (HMPI) and (HMEI) indices pointed that HL water quality was bad. Principal component analysis (PCA) and cluster analysis (CA) were applied to estimate the pollution sources, results show that, pollution are originated from multiple sources, anthropogenic sources are major pollution sources while lithogenic is minor pollution sources, anthropogenic origin, which is mostly due to the wastewater point sources on Warrar stream.

scholarly journals Spatiotemporal Variation Characteristics of Water Pollution and the Cause of Pollution Formation in a Heavily Polluted River in the Upper Hai River

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Chunfang Meng ◽  
Xiaoyu Song ◽  
Kening Tian ◽  
Bingxiao Ye ◽  
Tianxiu Si
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Industrial Wastewater ◽  
Agricultural Runoff ◽  
Domestic Sewage ◽  
Spatiotemporal Variation ◽  
Point Sources ◽  
Pollution Sources ◽  
Polluted River ◽  
Variation Characteristics

Blackening and odorization of heavily polluted rivers has become a serious concern and threat to ecological and human health. This paper aims to gain a deeper understanding of changes in water pollution and the cause of pollution formation in a heavily polluted river in the upper Hai River. In this study, comprehensive water quality index (CWQI) and multivariate statistical techniques (MSTs) were applied to assess the spatiotemporal variation characteristics of water pollution and to identify potential pollution sources. The seasonal Mann–Kendall (SMK) test and the SMK test of flow-adjusted concentrations were effectively used to explore the temporal variation trends of major pollutants and the causes of their formation. Data of 15 water quality parameters were analyzed during 1980–2018 at 19 monitoring sites in the mainstream and major tributaries of the Xinxiang Section of the Wei River (XSWR). The results showed that the rivers were seriously polluted from 1991 to 2009, but the water quality improved after 2010. Nineteen sampling sites were divided into a low pollution region and a high pollution region. In the flood season, the pollution sources were mainly domestic sewage, industrial wastewater, agricultural runoff, biochemical pollution, and natural sources. In the nonflood season, the pollution sources were mainly domestic sewage and industrial wastewater. In recent years, the water quality of seriously polluted river has generally improved, mainly due to reductions in pollutant discharge from point sources and nonpoint sources.

scholarly journals ESTIMATION OF PHOSPHORUS EMISSIONS IN THE UPPER IGUAZU BASIN (BRAZIL) USING GIS AND THE MORE MODEL

2016 ◽  
Vol XLI-B8 ◽  
pp. 299-304 ◽  
Author(s):  
E. A. Acosta Porras ◽  
R. T. Kishi ◽  
S. Fuchs ◽  
S. Hilgert
Keyword(s):  
Water Quality ◽  
Drainage Basin ◽  
Digital Terrain Model ◽  
Surface Water Quality ◽  
Point Sources ◽  
Pollution Sources ◽  
Water Bodies ◽  
Sanitary Sewer ◽  
Average Size ◽  
Pollution Loads

Pollution emissions into the drainage basin have direct impact on surface water quality. These emissions result from human activities that turn into pollution loads when they reach the water bodies, as point or diffuse sources. Their pollution potential depends on the characteristics and quantity of the transported materials. The estimation of pollution loads can assist decision-making in basin management. Knowledge about the potential pollution sources allows for a prioritization of pollution control policies to achieve the desired water quality. Consequently, it helps avoiding problems such as eutrophication of water bodies. The focus of the research described in this study is related to phosphorus emissions into river basins. The study area is the upper Iguazu basin that lies in the northeast region of the State of Paraná, Brazil, covering about 2,965 km&lt;sup&gt;2&lt;/sup&gt; and around 4 million inhabitants live concentrated on just 16% of its area. &lt;br&gt;&lt;br&gt; The MoRE (Modeling of Regionalized Emissions) model was used to estimate phosphorus emissions. MoRE is a model that uses empirical approaches to model processes in analytical units, capable of using spatially distributed parameters, covering both, emissions from point sources as well as non-point sources. In order to model the processes, the basin was divided into 152 analytical units with an average size of 20 km&lt;sup&gt;2&lt;/sup&gt;. Available data was organized in a GIS environment. Using e.g. layers of precipitation, the Digital Terrain Model from a 1:10000 scale map as well as soils and land cover, which were derived from remote sensing imagery. Further data is used, such as point pollution discharges and statistical socio-economic data. The model shows that one of the main pollution sources in the upper Iguazu basin is the domestic sewage that enters the river as point source (effluents of treatment stations) and/or as diffuse pollution, caused by failures of sanitary sewer systems or clandestine sewer discharges, accounting for about 56% of the emissions. Second significant shares of emissions come from direct runoff or groundwater, being responsible for 32% of the total emissions. Finally, agricultural erosion and industry pathways represent 12% of emissions. This study shows that MoRE is capable of producing valid emission calculation on a relatively reduced input data basis.

Water Quality Prognosis and Cost Analysis of Pollution Abatement Measures in the Rhine Basin (The River Rhine Project: Ever)

1994 ◽  
Vol 29 (3) ◽  
pp. 95-106
Author(s):  
Alfred P. Benoist ◽  
Gerard H. Broseliske
Keyword(s):  
Water Quality ◽  
Pollution Abatement ◽  
Point Sources ◽  
Management Tool ◽  
River Rhine ◽  
Priority Pollutants ◽  
Rhine Basin ◽  
Frame Work ◽  
Water Quality Objectives ◽  
Calculation Models

For priority pollutants, the international Rhine Action Programme (RAP) aims to meet the quality objectives for the Rhine, set by the International Rhine Commission (IRC), by the year 2000. An assessment must be carried out to define additional measures exceeding best available technology (BAT) for point sources and best environmental practice (BEP) for diffuse sources for those priority pollutants still violating the quality objectives of the Rhine after implementing BAT and BEP only. To carry out the required assessments, an excessive amount of work and money is needed, including the application of sophisticated calculation models. For prioritizing reasons, the Institute for Inland Water Management and Waste Water Treatment (RIZA) initiated a project called EVER, which was conducted by DHV Water BV. EVER is the abbreviation of the Dutch equivalent for Effective Distribution of Emission Reductions (Effective Verdeling van Emissie Reducties). The aim of this project is to carry out a first and crude evaluation of the impact of abatement measures (BAT and BEP), as set by the IRC for the period 1985-1995. For those pollutants still showing a violation of the quality objectives for the Rhine in the year 1995, a range finding method is used, to predict the costs and impact of abatement measures exceeding BAT and BEP on the water quality of the Rhine. So, EVER is a management tool to prioritize the work to be done within the frame-work of the IRC, triggering the application of e.g. sophisticated calculation models for a selected number of priority pollutants. In EVER, the prognosis of the reduction of specific discharge rates for approximately forty priority pollutants is given for twelve sub-catchment areas for the year 1995. This prognosis is used to predict concentrations at eight international monitoring locations in the Rhine basin, using the discharges and concentrations of the year 1985 as a reference. The predicted concentrations for the year 1995 are compared with the (preliminary) water quality objectives as set by the IRC. The results indicate, that for six of the selected pollutants the number of available data is too small for sound predictions. Fifteen of the selected pollutants will satisfy the water quality objectives in 1995. Twenty (half) of the selected pollutants will still violate the quality objectives at several monitoring locations. These twenty pollutants are the basis for priorities to be set within the frame-work of the IRC for phase 3 (1995-2000) of the RAP. For these pollutants, additional abatement measures exceeding BAT and BEP are selected in EVER for the manageable groups of sources (anthropogenic non-point sources, industrial sources and municipal sources). Each measure is analyzed separately for costs and effectiveness. Finally the results of this project are integrated into a matrix system which will enable us to select the most effective mix of pollution abatement measures at the lowest costs. The result of the selected additional measures exceeding BAT and BEP shows that 17 pollutants will still violate the quality objectives.

Sign in / Sign up

Export Citation Format

Share Document