Monitoring and evaluation of the water quality of the Lower Neches River, Texas, USA

Increasing bacteria levels in the Lower Neches River caused by Hurricane Harvey has been of a serious concern.This study is to analyze the historical water sampling measurements and real-time water quality data collected with wireless sensors to monitor and evaluate water quality under different hydrological and hydraulic conditions.The statistical and Pearson correlation analysis on historical water samples determines that alkalinity,chloride,hardness,conductivity,and pH are highly correlated,and they decrease with increasing flow rate due to dilution.The flow rate has positive correlations with Escherichia coli,total suspended solids,and turbidity,which demonstrates that runoff is one of the causes of the elevated bacteria and sediment loadings in the river.The correlation between E.coli and turbidity indicates that turbidity greater than 45 nephelometric turbidity units in the Neches River can serve as a proxy for E.coli to indicate the bacterial outbreak.A series of statistical tools and an innovative two-layer data smoothing filter are developed to detect outliers,fill missing values,and filter spikes of the sensor measurements.The correlation analysis on the sensor data illustrates that the elevated sediment/bacteria/algae in the river is either caused by the first flush rain and heavy rain events in December to March or practices of land use and land cover.Therefore,utilizing sensor measurements along with rainfall and discharge data is recommended to monitor and evaluate water quality,then in turn to provide early alerts on water resources management decisions.

A Study on Water Quality Monitoring in Urban Watercourse of Xinli River in Binzhou City

This paper aims to explore the pH,COD,ammonia nitrogen,total nitrogen,total phosphorus and other indices regarding Xinli River water in Binzhou City.The results show that the pH of the water quality index is between 7.3 and 7.8,slightly alkaline;the COD content of Xinli River is about 140-163 mg/L,and the COD pollution is serious in some water sections;the ammonia nitrogen content of Xinli River is 0.2-2.17 mg/L,the total nitrogen content is about 0.799-1.3 mg/L,the total phosphorus content is about 0.54-0.92 mg/L,suggesting that the water eutrophication is very serious.Due to the large amount of domestic sewage discharged into Xinli River without treatment,slow circulation of river water and other factors,the eutrophication is serious in the urban watercourse.

Key Issues for Water Quality Monitoring in the Zambezi River Basin in Mozambique in the Context of Mining Development

Zambezi River Basin is located in Southern Africa. It is essential for the economy of its eight riparian countries. The delta and almost 11% of its total catchment area are located in Mozambique. The main stream of the river receives a run-off contribution of 1800 m3/s in Mozambique and reaches the ocean with a flow of about 4100 m3/s. Coal mining is developing fast in the Zambezi River Basin in Mozambique due to favourable geological conditions. The coal mining and other activities have an impact on the surface and groundwater quality of the river basin. ARA-Zambeze is the river basin organization responsible for the water quality monitoring in Zambezi River Basin in Mozambique. In spite of limited resources ARA-Zambeze performs surveillance monitoring, while the institutions influencing the water quality of the river are doing operational monitoring. In this paper a monitoring system for the Zambezi River Basin in Mozambique is proposed. The system includes two alternative monitoring procedures. One procedure considers improvement of the current situation, which is characterized by multiple actors doing monitoring in isolation, by standardizing the analytical methods and improving data sharing through a web-based reporting system. The other proposed monitoring procedure considers a centralized approach, by having a consulting company doing the monitoring for the whole river basin in Mozambique. The second option has the advantages of improving consistency and comparability of the data, thereby allowing for more accurate trend analyses. It is concluded that the best way forward is to implement the first procedure and slowly move to the second.

Changes in Water Quality of Origin Flows of Hotan River Based on Nemorow Pollution Index

[Objective] The study aimed to analyze water quality of origin flows of Hctan River using Nemorow pollution index method. [Method] Based on data monitored at four monitoring sections of Yorungkash River and Karakash River dudng 2001 -2005, water quality of Hotan River was assessed by using Nemorow pollution index method. [ Result] During 2001 -2005, Yorungkash River and Karakash River had clean water reaching the first standard. Nemorow pollution index was 0.15 -0.69 at the first section of Yorungkash River, and it was 0.23 -0.46 at its last section; there were few changes in water quality at the last section, while Nemorow pollution index showed a downward trend at the first section. Nemorow pollu- tion index was 0.23 -0.65 at the first section of Karakash River, and it was 0.23 -0.47 at its last section, showing a downward trend at its last section. [Condusion] Water quality of Hotan River belonged to first-class clean water.

Assessment of Point and Nonpoint Sources Pollution in Songhua River Basin,Northeast China by Using Revised Water Quality Model

Individual participation of pollutants in the pollution load should be estimated even if roughly for the appropriate environmental management of a river basin.It is difficult to identify the sources and to quantify the load, especially in modeling nonpoint source.In this study a revised model was established by integrating point and nonpoint sources into one-dimensional Streeter-Phelps(S-P) model on the basis of real-time hydrologic data and surface water quality monitoring data in the Jilin Reach of the Songhua River Basin.Chemical oxygen demand(COD) and ammonia nitrogen(NH 3-N) loads were estimated.Results showed that COD loads of point source and nonpoint source were 134 958 t/yr and 86 209 t/yr, accounting for 61.02% and 38.98% of total loads, respectively.NH 3-N loads of point source and nonpoint source were 16 739 t/yr and 14 272 t/yr, accounting for 53.98% and 46.02%, respectively.Point source pollution was stronger than nonpoint source pollution in the study area at present.The water quality of upstream was better than that of downstream of the rivers and cities.It is indispensable to treat industrial wastewater and municipal sewage out of point sources, to adopt the best management practices to control diffuse pollutants from agricultural land and urban surface runoff in improving water quality of the Songhua River Basin.The revised S-P model can be successfully used to identify pollution source and quantify point source and nonpoint source loads by calibrating and validating.

Impact of River Water Quality on Public Health in Perspective of Asian Rivers:A Case Study of Buriganga River,Bangladesh

Water pollution is one of the current global problems.So many countries are suffering from this problem specifically most South Asian and Southeast Asian countries,and Bangladesh is one of those countries that are suffering from water pollution.Furthermore,the city of Bangladesh,Dhaka is one of the most densely populated cities in the world and overpopulation is showing a negative impact on the water quality now.Most of the rivers are very polluted around Dhaka city because of anthropogenic causes.This study focused on Buriganga river pollution and its impact on public health.This study intended to find out the major cause of Buriganga river pollution and the health status of the community living beside the Buriganga river.Also the study identified all the common diseases which people are suffering from around the Buriganga river area.Then the study compared the results with other southeast Asian countries so that it can make the relationship and can make it easier to understand the current situation of water pollution on public health in East Asia and Southeast Asia regions.During the research work,it was noticed that the Buriganga river is very polluted due to human activities.The transportation system,fishing,and waste canals from industries become the primary reasons behind Buriganga’s current condition.Also irresponsibility of both the environmental department and civil society is the major factor in Buriganga river pollution.The hygienic level was also not in a good condition because so many wastes like plastic materials and other daily use materials were thrown out into the river.That’s why public health conditions around the Buriganga river become vulnerable nowadays.So policies have to be implemented from the right perspective and the institutions have to be strong enough to handle all the issues regarding the Buriganga River.

Spatial and temporal variations of water quality in Cao-E River of eastern China

Evaluation and analysis of water quality variations were performed with integrated consideration of water quality parameters, hydrological-meteorologic and anthropogenic factors in Cao-E River, Zhejiang Province of China. Cao-E River system has been polluted and the water quality of some reaches are inferior to Grade V according to National Surface Water Quality Standard of China （GB2002）. However, mainly polluted indices of each tributary and mainstream are different. Total nitrogen （TN） and total phosphorus （TP） in the water are the main polluted indices for mainstream that varies from 1.52 to 45.85 mg/L and 0.02 to 4.02 mg/L, respectively. TN is the main polluted indices for Sub-watershed Ⅰ, Ⅱ, Ⅳ and Ⅴ（0.76 to 18.27 mg/L）. BOD5 （0.36 to 289.5 mg/L）, CODMn （0.47 to 78.86 mg/L）, TN （0.74 to 31.09 mg/L） and TP （0 to 3.75 mg/L） are the main polluted indices for Sub-watershed Ⅲ. There are tow pollution types along the river including nonpoint source pollution and point source pollution types. Remarkably temporal variations with a few spatial variations occur in nonpoint pollution type reaches （including mainstream, Sub-watershed Ⅰ and Ⅱ） that mainly drained by arable field and/or dispersive rural dwelling district, and the maximum pollutant concentration appears in flooding seasons. It implied that the runoff increases the pollutant concentration of the water in the nonpoint pollution type reaches. On the other hand, remarkably spatial variations occur in the point pollution type reaches （include Sub-watershed Ⅲ, Ⅳ and Ⅴ） and the maximum pollutant concentration appears in urban reaches. The runoff always decreases the pollutant concentration of the river water in the seriously polluted reaches that drained by industrial point sewage. But for the point pollution reaches resulted from centralized town domestic sewage pipeline and from frequent shipping and digging sands, rainfall always increased the concentration of pollutant （TN） in the river water too. Pollution controls were respectively suggested for these tow types according to different pollution causes.

Water Quality and Heavy Metal Monitoring in Water, Sediments, and Tissues of the African Catfish Clarias gariepinus (Burchell, 1822) from the River Nile, Egypt

Water quality of the river Nile and trace elements of the water, sediments and fish tissues were investigated in the current work. Eighteen different sampling points were selected along the whole course of the River Nile from its spring at Aswan to its estuaries at Rosetta and Damietta. Higher mean value of conductivity, alkalinity, chemical oxygen demand (COD), total organic carbon (TOC), ammonia (NH3), nitrate (NO3), total solid (TS), sulphate (SO4), chloride (Cl), orthophosphate were recorded in the water of Damietta and Rosetta branches comparing to other sites. Also trace metals in the water, sediments and tissues of Clarias gariepinus increased significantly (P Fe > Cu > Pb > Mn > Cr> Cd > Hg. In the gill tissues theses metals were accumulated in the following order Fe > Zn > Mn > Pb > Cr > Cu > Cd> Hg. The low accumulation of metals in muscle may be due to lack of binding affinity of these metals with the proteins of muscle. This is particularly important because muscles contribute the greatest mass of the flesh that is consumed as food.

The river chief system and agricultural non-point source water pollution control in China

As part of their efforts to control water pollution,local governments in China introduced the river chief system,whereby a named individual undertakes responsibility for protecting a specified waterway.As one of the most prominent sources of water pollution,agricultural non-point-source(NPS)pollution is becoming increasingly serious.Determining whether the river chief system,an institutional reform in China's decentralized environmental regulation regime,is effective in alleviating NPS pollution is important for the realization of green development.The effect of the river chief system on reducing agricultural NPS pollution is explored in this study using panel data from 308 Chinese counties during the period from 2004 to 2015.The results reveal that the negative impact of manure output from animal breeding operations on surface water quality is reduced with the implementation of the river chief system.However,the river chief system is ineffective in dealing with the water pollution caused by fertilizer use.Furthermore,in the current system,cooperation among river chiefs only occurs within a province.Local governments should increase their efforts in reducing fertilizer source loads and preventing fertilizer loads from entering surface waters.In addition,the central government should improve cooperation among the river chiefs in upstream and downstream provinces.

Study on Temporal and Spatial Variation Characteristics of Water Quality in the Yujiang River and the Xunjiang River(Guigang Section)

Based on the data at 29 monitoring sites in the whole basin of the Yujiang River and the Xunjiang River in Guigang City during 2014-2021,the single-factor evaluation method and the modified Nemerow pollution index method were used to analyze temporal and spatial distribution characteristics of water quality in the Yujiang River and the Xunjiang River basins.The results showed that the Wusi River(the Yujiang River)and the Dahuang River(the Xunjiang River)had the best water quality,while water quality of the Duchong River(the Yujiang River)was the worst,and the proportion of inferior to class V reached 93%.The second was the Shepo River(the Xunjiang River),and the proportions of inferior to class V and below class IV were 21%and 64%.Comprehensive Nemerow pollution index was used to evaluate the water quality of the Yujiang River and the Xunjiang River during 2014-2021.Five tributary sections with worse water quality were the Duchong River,Xiajiangkou,the Chencun River,the Liyu River,and the Dongtang River,and NH3-N and TP exceeded the standard seriously.Among them,water quality of the Duchong River was the worst and was slightly improved during 2018-2021,but it still exceeded the standard seriously.The analysis showed that the main source of serious eutrophication in the basin was the increase of NH3-N and TP concentrations caused by agricultural non-point source emissions.

Analysis on the Changing Trends of Surface Water Quality and Their Causes of Weihe River in Shaanxi Province during Recent Ten Years

[ Objective] The study aimed to analyze the changing trends of surface water quality and their causes of Weihe River in Shaanxi Province over past ten years. [ Method] Based on the available monitoring data of water quality of Weihe River in Shaanxi Province from 2001 to 2010, the changing trends of surface water quality of Weihe River in Shaanxi Province during recent ten years were assessed by using the assessment method of surface water quality according to the Assessment Method of Surface Water Quality and Environmental Quality Standards for Surface Water （GB 3838-2002）. Moreover, the possible reasons for the trends were also proposed. [ Result] From 2001 to 2010, there was a relatively decrea- sing trend of water pollution in Weihe River due to the considerable decline in the content of the main environmental pollutants like permanganate in- dex, 5-day biochemical oxygen demand （ BOD5 ）, ammonia nitrogen, oil and volatile phenol. Meanwhile, the comprehensive pollution index fell by 62.7%, eliminating Weihe River＇s black and stink on schedule. However, the overall surface water quality of Weihe River was still polluted heavily in each year, and the pollution control of Xi＇an section should be paid more attention to. [ Conclusion] The research could provide scientific refer- ences for the comprehensive environmental control of Weihe River in Shaanxi Province.

Application of Index Analysis to Evaluate the Water Quality of the Tuul River in Mongolia

A study of water pollution determinands of the Tuul River was carried out in surrounding area of Ulaanbaatar, the capital of Mongolia at 14 monitoring sites, using an extensive dataset between 1998 and 2008. An index method, developed by Ministry of Nature and Environment of Mongolia, applied for assessment and total, seven hydro-chemicals used in the index calculation. The research indicates that the Tuul River is not polluted until the Ulaanbaatar city and the contamination level spike appears when the river entering the city. The upper reaches of the river and tributaries have relatively good quality waters. Several pollution sources exist in the study area. Among them, the Central Wastewater Treatment Plant (CWTP) is a strongest point source in the downstream section of the river, recently. Pollutions at sites 7-10 are strongly dependant effluent treatment levels from the plant, and it contains a high amount of chemicals that can cause of major decrement of the water quality. This would definitely kill aquatic fauna in the stretch of the river affected. It certainly happened in 2007. The general trend of water quality gradually has been decreased in the study period. Clearly, there is a need to improve the water quality in the Tuul River in surrounding area of the Ulaanbaatar. In order to change this situation, operation enhancement of treatment plants, a water quality modeling and artificial increment of dissolved oxygen concentrations become crucial to improve the water quality significantly. Perhaps a new wastewater treatment plant is needed for Ulaanbaatar city.

Application of Water Quality Model QUAL2K to Model the Dispersion of Pollutants in River Ndarugu, Kenya

Ndarugu River, Kenya, during its course through the different agricultural and industrial areas of Gatundu, Gachororo and Juja farms, receives untreated industrial, domestic and agricultural waste of point source discharges from coffee and tea factories. During wet season the water is also polluted by non-point (diffuse) sources created by runoff carrying soil, fertilizer and pesticide residues from the catchment area. This study involved the calibration of water quality model QUAL2K to predict the water quality of this segment of the river. The model was calibrated and validated for flow discharge (Q), temperature (T&deg), flow velocity (V), biochemical oxygen demand (BOD5), dissolved oxygen (DO) and nitrate (NO3-N), using data collected and analyzed during field and laboratory measurements done in July and November-December 2013. The model was then used in simulation and its performance was evaluated using statistical criteria based on correlation coefficient (R2) and standard errors (SE) between the observed and simulated data. The model reflected the field data quite well with minor exceptions. In spite of these minor differences between the measured and simulated data set at some points, the calibration and validation results are acceptable especially for developing countries where the financial resources for frequent monitoring works and higher accuracy data analysis are very limited. The water is being polluted by the human activities in the catchment. There is need for proper control of wastewater by various techniques, and preliminary treatment of waste discharges prior to effluent disposal. Management of the watershed is necessary so as to protect the river from the adverse impacts of agricultural activities and save it from further deterioration.

Chemical and Microbiological Parameters in Fresh Water and Sediments to Evaluate the Pollution Risk in the Reno River Watershed (North Italy)

The European Water Framework (WFD) establishes a framework for the protection and the monitoring condition of all natural superficial waters of the member States. The Italian Legislative Decree n. 156/2006 implements the WFD establishing a monitoring system which foresees a detailed detection of several physical, chemical and microbiological parameters in order to assess the qualitative status of the water body. This study reports the freshwater quality in the Reno river basin (North Italy) from 2003 to 2011. The Reno superficial water was classified as “good” in the mountain stations and at the closed basin while in all the other stations of the Po plain the quality was from “mediocre” to “poor”. The decrease of water quality was due to the flowing of artificial canals that collect discharges the wastewater of sewage treatment plants, drainage and run-off from the urban, industrial and agricultural lands. In spring-summer 2011, characterized by severe drought, a study on the distribution of pollutants and nutrients in water of the Renoriver and its tributaries highlight the impact of highway (Via Emilia) that closes the mountain basin of water courses. Along this street cities and industrial and craft have developed, increasing discharges of pollutants and nutrients in rivers. An increase of metals and nutrients was found from upstream to downstream, furthermore the concentration of the microbiological faecal indicators were two to three times higher than those determined in the water upstream of urban/industrial settlements. The thresholds of Italian Law for Hg and Pb were exceeding in all most rivers. The sediments analysis was also performed because they can be considered a sink and/or source for pollutants. In many monitoring sites the metals concentrations was higher than the thresholds of Italia Low (data not shown), but the availability of these metals was tested with mixtures of different strength extracting (EDTA, DTPA and water). The coefficient of partition solid/water (Kd) was calculated to evaluate the metals affinity to be in the aqueous phase and it increase as following Cr > Mn > Ni > Pb > Zn > Cu > Cd.

A Study about Effects of River Water Quality on Fish Living in Büyük Menderes Basin, Turkey

The measurements for the quality of the water were made at eight stations of Adügüzel Dam, Yenice Regulator, Sarayköy Bridge, Feslek Regulator, Yenipazar Bridge, Aydιn Bridge, Koçarlι Bridge, Söke Regulator located at the Buyuk Menderes River, Turkey. The study was conducted for the period between 2000-2013 for the months of February, April, June, August, October and December. The results received were analyzed for temperature, pH, EC, Cl-, Na, Ca2+, Mg2+, K+, , TDS, TH and SS aquaculture. The results of the analyses revealed that although the water pollution in the river showed variations throughout the year, in fact the samples obtained at various locations displayed high levels of pollutants. The “Regulation on Turkish Water Pollution Control” was made use of in classifying the parameters of the water in this study. These parameters were compared with the WHO Guidelines and TS-266. Among the 8 Dams that were included in the study, the best quality of water was measured in the Adügüzel Dam, which gave the lowest values;and the levels were measured to be higher in the Saraykoy Station than those of the other dams. There was a severe drought in Menderes Basin in 2007, and therefore the highest annual values were measured for the year 2007. In those years, the levels of the irrigation water decreased as low as 4255 m3/ha. The SPSS 21 Statistical Analysis Program was made use of in analyzing the data of the study. The One-Way Anova and Tukey Multiple Comparison tests were also used for the analyses of the data as well. The p < 0.05 level was accepted as being significant in the analyses. The distribution of the data was performed by using the Box-plot Graphs. Furthermore, the effects on fish species and the pollution in Büyük Menderes River were also examined in the study.

Optimization of sampling frequency for routine river water quality monitoring

Sampling frequency is an important factor to be considered during the design of a water monitoring network,and the cost-effective selection of possible ways and means for the optimization of sampling frequency is still needed.This paper introduces water pollution index deviation ratio comparison(WPI DRC),a procedure for the optimization of sampling frequency for a routine river water quality monitoring system.Sampling frequency optimized using WPI DRC at monitoring station X5 in the mainstream of Xiangjiang River is compared with that established using the traditional Statistical Algorithm method.The result of comparison indicates that WPI DRC is more feasible than the traditional one.And then,the sampling frequencies for other 16 monitoring stations also have been optimized,and the results show the sampling frequencies of all the stations except that X4 are reduced,and there is no unacceptable difference between water quality evaluation results at 17 stations before and after the optimization.Therefore,it is concluded that WPI DRC is an effective optimization process with operable results,which can be used to fulfill the requirement of practical monitoring work.

WATER POLLUTION IN CHINA:CURRENT STATUS, FUTURE TRENDS AND COUNTERMEASURES

Based on the statistical data related to water pollution in recent years, this paper firstly describes in detail the current status of water pollution and water quality in rivers, lakes, reservoirs, groundwater and coastal waters in China, then makes a comprehensive analysis on future trends of water pollution in China. The authors hold that the economic power, technology level and management level have determinative influences on the current status and future trends of water pollution. At last, this paper discusses briefly the policies and measures for preventing and controlling water pollution in the light of the national conditions.