scholarly journals Research on Water Quality Simulation and Water Environmental Capacity in Lushui River Based on WASP Model

Water ◽  
2021 ◽  
Vol 13 (20) ◽  
pp. 2819
Author(s):  
Nicolas Obin ◽  
Hongni Tao ◽  
Fei Ge ◽  
Xingwang Liu
Keyword(s):  
Water Quality ◽  
Yangtze River ◽  
Orthogonal Design ◽  
Oxygen Demand ◽  
Water Quality Monitoring ◽  
Ammonia Nitrogen ◽  
Quality Analysis ◽  
Environmental Capacity ◽  
Water Quality Prediction ◽  
Water Environmental Capacity

In recent years, the severe deterioration of water quality and eutrophication in the Yangtze River has brought much trouble to people’s lives. Because of this, numerous management departments have paid more and more attention to the treatment of the water environment. In order to respond to water environmental protection policy and provide management departments with a basis for refining water quality, this paper takes the Zhuzhou section of Yangtze River-Lushui watershed as its research object. First, we used the Water Quality Analysis Simulation Program (WASP) model as a tool, and obtained the pollution load using the FLUX method formula. During the calibration process, the sensitivity analysis method, the orthogonal design method, and the trial and error method were used. Then, we verified the results by using water quality monitoring data published by Zhuzhou Ecological Environment Bureau. Following that, the water environmental capacity of the Lushui River in normal, wet and dry periods was calculated using the WASP model: the chemical oxygen demand (COD) was 14,072.94 tons/yr, 17,147.7 tons/yr and 10,998.18 tons/yr, respectively; ammonia nitrogen (AN) was 469.098 tons/yr, 571.59 tons/yr and 366.606 tons/yr, respectively; and total phosphorus (TP) was 93.8196 tons/yr, 114.318 tons/yr and 73.3212 tons/yr, respectively. The results show that the WASP model is applicable and reliable and can be used as an effective tool for water quality prediction and management in this area.

scholarly journals Water Environmental Capacity Calculation Based on Control of Contamination Zone for Water Environment Functional Zones in Jiangsu Section of Yangtze River, China

Water ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 587
Author(s):  
Qiuxia Ma ◽  
Yong Pang ◽  
Ronghua Mu
Keyword(s):  
Water Quality ◽  
Yangtze River ◽  
Water Quality Management ◽  
Water Environment ◽  
Ammonia Nitrogen ◽  
The Yangtze River ◽  
Environmental Capacity ◽  
Water Environmental Capacity ◽  
Functional Zones ◽  
The Government

In recent years, due to unsustainable production methods and the demands of daily life, the water quality of the Yangtze River has deteriorated. In response to Yangtze River protection policy, and to protect and restore the ecological environment of the river, a two-dimensional model of the Jiangsu section was established to study the water environmental capacity (WEC) of 90 water environment functional zones. The WEC of the river in each city was calculated based on the results of the water environment functional zones. The results indicated that the total WECs of the study area for chemical oxygen demand (COD), ammonia nitrogen (NH3-N), and total phosphorus (TP) were 251,198 t/year, 24,751 t/year, and 3251 t/year, respectively. Among the eight cities studied, Nanjing accounted for the largest proportion (25%) of pollutants discharged into the Yangtze River; Suzhou (11%) and Zhenjiang (12%) followed, and Wuxi contributed the least (0.4%). The results may help the government to control the discharge of pollutants by enterprises and sewage treatment plants, which would improve the water environment and effectively maintain the water ecological function. This research on the WEC of the Yangtze River may serve as a basis for pollution control and water quality management, and exemplifies WEC calculations of the world’s largest rivers.

scholarly journals Water quality prediction analysis of Qingyi River based on time series

2019 ◽  
Vol 118 ◽  
pp. 03005
Author(s):  
Yulan Luo ◽  
Qingsong Chen ◽  
Ying Liu ◽  
Xiaohui Xie ◽  
Qianying Du
Keyword(s):  
Water Quality ◽  
Time Series ◽  
Prediction Accuracy ◽  
Drainage Basin ◽  
Oxygen Demand ◽  
Arma Model ◽  
Ammonia Nitrogen ◽  
Series Method ◽  
Water Quality Prediction ◽  
Time Series Method

According to the current situation of water quality in drainage basin, the key to improve the prediction accuracy is to select the appropriate prediction model of water quality. The time series method excellently reflected the continuity of the future data in the case of emphasizing historical data. What’s more, the time series method has the higher short-term prediction accuracy and simple modeling process. So, the time series method was used to establish the Auto-Regressive and Moving Average (ARMA) model for the time series of the concentration of dissolved oxygen (DO), biochemical oxygen demand (BOD5), chemical oxygen demand (CODCr), ammonia nitrogen (NH3-N) and total nitrogen (TN) at the Guidu fu section of Qingyi River from January 2011 to December 2015. Then, the concentrations of the five water quality indicators from January to June 2016 were predicted, which were verified and analyzed with the measured values. The results show that the model has fine fitting effect and higher prediction accuracy, which can accurately reflect the current and future change trends of the water quality.

Study on the Water Environmental Capacity and the Sewage Control of the Sushui River

2012 ◽  
Vol 433-440 ◽  
pp. 995-1001 ◽  
Author(s):  
Ji Zhong Bai ◽  
Jian Ming Yang ◽  
Min Quan Feng
Keyword(s):  
Water Quality ◽  
Ammonia Nitrogen ◽  
Environmental Capacity ◽  
Quality Model ◽  
Control Factors ◽  
Volatile Phenol ◽  
Water Environmental Capacity ◽  
The Status ◽  
State Water ◽  
Annual Water

In order to know the environmental capacity, improve the continual deterioration of the water quality in Sushui River, and promote the harmonious development of economy and aquatic environment, we did the following research. Based on the 1-D steady-state water quality model, the outfalls are generalized, and then we derived the formula for calculating water environmental capacity of each reach. According to the information of water quality, hydrology data and the discharge distribution of the river, we chose COD, ammonia nitrogen and volatile phenol as the main control factors, and some formulas were used to calculate the water environmental capacity of COD, ammonia nitrogen and volatile phenol. From which we got that annual water environmental capacity of COD, ammonia nitrogen and volatile phenol on the studied reach respectively arrive at 1257.897~1420.928t, 17.873~26.025t and 1.750~2.871t under different design terms. It is serious pollution in the Sushui River, combined with the status quo emissions, we found that under different design terms, the annual quantity of pollutants reduction of COD, ammonia nitrogen and volatile phenol arrive at 30.36×106t, 3.257×106t and 0.1745×106t.

scholarly journals Assessment of physical, chemical and dissolved trace metals parameters of marine water quality in East Malaysia’s port

2021 ◽  
Vol 4 (1) ◽  
pp. 50
Author(s):  
Wan Nur Fazlina Abdol Jani ◽  
Fatihah Suja’ ◽  
Firdaus Mohamad Hamzah ◽  
Shahrom Md Zain
Keyword(s):  
Water Quality ◽  
Trace Metal ◽  
Marine Pollution ◽  
Water Quality Monitoring ◽  
Ammonia Nitrogen ◽  
Marine Water ◽  
Quality Analysis ◽  
Monitoring And Control ◽  
Oil And Grease ◽  
Metal Concentrations

A port is an important national asset that needs to be carefully protected. Ports should be maintained to preserve both public health and the natural environment. This study focused on determining the status of a port in Peninsular Malaysia based on water quality analysis. Marine water samples in the port were collected from eight sampling locations. Fifteen physical and chemical parameters and trace metal concentrations were measured in-situ and in a laboratory using standard methods. The ranges of the results were as follows; 26.6–32.2 °C for temperature, 7.2–9.5 for pH, 7.18–8.55 mg/L for DO, 6.27–423.33 NTU for turbidity, 41–751 mg/L for TSS, 1.1–10.5 mg/L for BOD5, 57–2791 mg/L for COD, 6.00–679.50 mg/L for O&G, and 0.17–7.28 mg/L for NH3-N. The trace metal concentrations were as follows; 0.000–0.080 mg/L for Al, 0.000–0.048 mg/L for Cr, 0.001–0.197 mg/L for Cu, 0.002-0.821 mg/L for Fe, 0–0.038 mg/L for Ni, and 0.001– 0.068 mg/L for Zn. The parameters of total suspended solid, chemical oxygen demand, oil and grease, ammonia-nitrogen and Cu were mostly unacceptable in terms of water quality and sources of pollution. It stemmed from the phenomenon of the tides, port activities and the diversity of shipload, effects of antifouling ship, sewage and stormwater runoff are the main contributors of marine pollution. Therefore, water quality monitoring and control of the release of untreated organic and dissolved metal wastes into marine waters are greatly needed.

Implementation of an automatic and miniature on-line multi-parameter water quality monitoring system and experimental determination of chemical oxygen demand and ammonia-nitrogen

2015 ◽  
Vol 73 (3) ◽  
pp. 697-706 ◽  
Author(s):  
Yingke Xie ◽  
Zhiyu Wen ◽  
Zhihong Mo ◽  
Zhiqiang Yu ◽  
Kanglin Wei
Keyword(s):  
Water Quality ◽  
Chemical Oxygen Demand ◽  
Monitoring System ◽  
Oxygen Demand ◽  
Water Quality Monitoring ◽  
Ammonia Nitrogen ◽  
Quality Monitoring ◽  
National Standard ◽  
Relative Standard ◽  
On Line

An automatic, miniature and multi-parameter on-line water quality monitoring system based on a micro-spectrometer is designed and implemented. The system is integrated with the flow-batch analysis and spectrophotometric detection method. The effectiveness of the system is tested by measuring chemical oxygen demand (COD) and ammonia-nitrogen in water. The results show that the modified system provides a cost-effective, sensitive, reproducible and reliable way to measure COD and ammonia-nitrogen in water samples with automatic operation and low toxic chemical consumption. In addition, the experiment results show that the relative error of the system is less than 10%, the limit of detection is 2 mg/L COD and 0.032 mg/L ammonia-nitrogen, respectively, and the relative standard deviation was 6.6% at 15.0 mg/L COD (n = 7) and 5.0% at 0.300 mg/L ammonia-nitrogen (n = 7). Results from the newly designed system are consistent with the data collected through the Chinese national standard analysis methods.

scholarly journals Development of Optimal Management Strategies for the Interception System Using River Water Quality Modeling

2018 ◽  
Vol 175 ◽  
pp. 03024
Author(s):  
Chen-Yao Ma ◽  
Yi-Chu Huang ◽  
Chih-Ming Kao
Keyword(s):  
Water Quality ◽  
Management Strategies ◽  
Oxygen Demand ◽  
Ammonia Nitrogen ◽  
Water Quality Modeling ◽  
Water Bodies ◽  
Quality Analysis ◽  
Quality Model ◽  
Quality Modeling ◽  
The Impact

This study adopted the water quality model [Water Quality Analysis Simulation Program (WASP)] to simulate and evaluate the impacts of the opening and closure of an interception system at the tributary of Love River on mainstream water quality. The gates were opened respectively for 4, 12, and 24 hours to assess the impact on biochemical oxygen demand (BOD) and ammonia nitrogen (NH3-N) in the water bodies of Love River. The WASP model was used to evaluate the self-purification capacity of the river. According to the results of the model estimation, it takes 5 days for NH3-N and BOD in the water bodies of Love River to return to normal and for the water to restore its original water quality after the closure of the Baozhu Ditch gate. Results of this study can be used as a reference for Love River watershed management, and the WASP modeling can be applied for decision makers to develop appropriate management strategies of the interception system.

scholarly journals Calculation of water environmental capacity of Puzhehei Lake

2021 ◽  
Vol 276 ◽  
pp. 01026
Author(s):  
Lei Sun ◽  
Wei Ma ◽  
Jing-ya Ban ◽  
De-xuan Qi
Keyword(s):  
Water Quality ◽  
Rainy Season ◽  
Water Quality Monitoring ◽  
Quality Data ◽  
Lake Basin ◽  
Environmental Capacity ◽  
Quality Model ◽  
Water Quality Data ◽  
Water Environmental Capacity ◽  
And Diffusion

The calculation of water environmental capacity of Puzhehei lake is of great significance for preventing water pollution and protecting water ecological environment of Puzhehei Lake Basin. Based on the lack of hydrological and water quality data in Puzhehei Lake Basin, a large number of basic data were collected through pollution source investigation and water quality monitoring. On this basis, a twodimensional hydrodynamic water quality model of Puzhehei lake was established by using Mike21 model to simulate the migration and diffusion of pollutants into the lake. The current situation of pollution load in Puzhehei lake was analyzed, and the characteristics of water flow, hydrodynamic force and the migration and diffusion law of pollutants in Puzhehei Lake were analyzed. The results show that: ①the annual loads of COD, TN, TP and NH3-N in puzhehai Lake in 2018 are 4090.0t, 401.3t, 34.4t and 122.6t; ②Puzhehei lake is mainly non-point source pollution, and the difference of water environmental capacity between non rainy season and rainy season is very significant.

Water-Quality Assessment of Lv-Tang River in Zhanjiang, China

2013 ◽  
Vol 295-298 ◽  
pp. 755-758 ◽  
Author(s):  
Ya Yun Liu ◽  
Zhi Hong Li ◽  
Xiao Jian Liang ◽  
Yan Peng Lin ◽  
Rong Hao Wu ◽  
...  
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Oxygen Demand ◽  
Pollution Index ◽  
Ammonia Nitrogen ◽  
Single Parameter ◽  
Water Quality Parameter ◽  
National Quality

Based on the water quality investigation data of December in 2010, the water environment quality of Lv-tang River in Zhanjiang national urban wetland park was assessed using single water quality parameter model and integrated water quality index model. The results show that the water quality of Lv-tang River is worse than the national quality standards for Grade V. The water is polluted seriously. The main pollutants are total nitrogen (TN), ammonia nitrogen (NH3-N) and chemical oxygen demand CODCr with their average concentrations of 60.49 mg/L, 30.57 mg/L and 227.38mg/L, respectively. The averages of their single parameter pollution index are 30.25 , 19.79 and 8.74. The average of single parameter pollution index of the river is 8.23 which indicated that the river belongs to heavy pollution zone. The integrated water quality index was 22.5 showing that the river belongs to serious pollution zone.

scholarly journals Status and Threats to Mugger Crocodile Crocodylus palustris Lesson, 1831 at Rani Tal, Shuklaphanta Wildlife Reserve, Nepal

2013 ◽  
Vol 13 (1) ◽  
pp. 125-131 ◽  
Author(s):  
Harish P Bhatt ◽  
Tej Bahadur Saund ◽  
Jham Bahadur Thapa
Keyword(s):  
Water Quality ◽  
Flash Flood ◽  
Oxygen Demand ◽  
Seasonal Fluctuation ◽  
Habitat Destruction ◽  
Quality Analysis ◽  
Anthropogenic Factors ◽  
Total Hardness ◽  
Chemical Contamination ◽  
Wildlife Reserve

A study was carried out for preparing baseline information on water quality, population status and threats to Mugger crocodile, Crocodylus palustris Lesson at Rani Tal, Shuklaphanta Wildlife Reserve. Water quality analysis was conducted for three seasons (summer, autumn and winter) in the year 2008 - 2009. The study has found the physico-chemical contamination in the lake. The water quality parameters (dissolved oxygen, total hardness, free carbon dioxide, biological oxygen demand and ammonia) exceeded the normal range to support the Muggers. A survey around the lake recorded four adult Mugger crocodiles (>180 cm body length) basking in sandy and muddy bank during the investigation period. The lake is under pressure from diverse anthropogenic factors. The principal threats to the Mugger crocodile include water pollution, habitat destruction, sedimentation, food shortage, egg collection and seasonal fluctuation of water level. The total area and depth of the lake is diminishing due to encroachment by Phragmites karka and flash flood during monsoon. Conservation and proper management of the lake are urgently required. Nepal Journal of Science and Technology Vol. 13, No. 1 (2012) 125-131 DOI: http://dx.doi.org/10.3126/njst.v13i1.7451

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