scholarly journals Source separation and apportionment of surface water pollution in the Luanhe River Basin based on non-negative matrix factorization

2019 ◽  
Vol 19 (7) ◽  
pp. 1945-1954
Author(s):  
Peifang Leng ◽  
Qiuying Zhang ◽  
Fadong Li ◽  
Yizhang Zhang ◽  
Congke Gu

Abstract Understanding the spatial and temporal variations and source apportionment of water pollution is important for efficient water environment management. The non-negative matrix factorization (NMF) method, which is naturally well suited for non-negative data of high dimension, was used to identify the latent factors and apportion the contributions from identified pollution sources to each water quality parameter. We obtained a data matrix with 11 water quality variables collected from 2013 to 2016 in the Luanhe River Basin in northern China. The results highlight the substantial contribution of industrial and livestock wastewater. All land-use types have a slightly weaker impact on surface water pollution during the dry season than during the rainy season. The aim of this study is to illustrate the practicability of multivariate statistical analysis, especially the application of NMF, which has major potential for source separation and the apportionment of water pollution.

2013 ◽  
Vol 67 (6) ◽  
pp. 1332-1338 ◽  
Author(s):  
Ying Xie ◽  
Xuyong Li ◽  
Huiliang Wang ◽  
Wenzan Li

The analysis of river pollution and assessment of spatial and temporal variation in hydrochemistry are essential to river water pollution control in the context of rapid economic growth and growing pollution threats in China. In this study, we focused on hydrochemical characteristics of the Luanhe River Basin (China) and evaluation of 12 hydrochemical variables obtained from 32 monitoring stations during 2001–2010. In each study year, the streams were monitored in the three hydrological periods (April, August, and October) to observe differences in the impacts of agricultural activity and rainfall pattern. Multivariate statistical methods were applied to the data set, and the river water hydrochemical characteristics were assessed using the water quality identification index (WQIIM). The results showed that parameters had variable contribution to water quality status in different months except for ammonia nitrogen (NH4-N) and total nitrogen (TN), which were the most important parameters in contributing to water quality variations for all three periods. Results of WQIIM revealed that 18 sites were classified as 'meeting standard' while the other 14 sites were classified as 'not meeting standard', with most of the seriously polluted sites located in urban area, mainly due to discharge of wastewater from domestic and industrial sources. Sites with low pollution level were located primarily in smaller tributaries, whereas sites of medium and high pollution levels were in the main river channel and the larger tributaries. Our findings provide valuable information and guidance for water pollution control and water resource management in the Luanhe River Basin.


2011 ◽  
Vol 383-390 ◽  
pp. 213-217 ◽  
Author(s):  
Guang Jian Chen ◽  
Jin Ling Jia

To implement the remote and real-time monitoring of surface water pollution, a design scheme of water quality monitoring system based on GPRS technology is put forward, which is composed of monitoring terminal, monitoring center and communication network. The various parameters of surface water are acquired using water quality detection sensor terminal and uploaded to the remote monitoring center via GPRS module by monitoring, and then the water quality parameters acquisition, processing and wireless transmission are realized. Water quality parameters are received through the internet network by the monitoring center, to realize its remote monitoring and management. According to the practice result, the system has materialized functions on GPRS service platform, such as real-time water quality parameters acquisition, procession, wireless transmission, remote monitoring and management, which is suitable for surface water pollution continuous monitoring and has the good application in the future.


2013 ◽  
Vol 6 ◽  
pp. ASWR.S12997
Author(s):  
D.N. Muruven ◽  
M. Tekere

Mining has long been at the center of the South African economy and has contributed to significant developments within the country. However, despite the large economic impact, surface water pollution due to mining is prevalent in most of the country's water catchments. Surface water in many areas of the central Roodepoort area in Johannesburg, South Africa, has also been impacted primarily by mining activities. The surface water quality for the Bosmontspruit, Russell's Stream, and the New Canada Dam was assessed in this study from October 2010 to March 2011. Physicochemical and biological characteristics of the water were determined for eight monitoring points, and the results obtained were compared with the in-stream water quality guidelines for the Klip River catchment and the South African Water Quality Guidelines. A trend noticed throughout the sampling period was the noncompliance to the set target water quality ranges (TWQRs) in the levels of total dissolved solids (TDS) and dissolved oxygen (DO). The results indicate that concentrations of iron, aluminum, nickel, manganese, and potassium were above the permissible limits across the Bosmontspruit and Russell's Stream. Excessive fecal coliforms and ammonium pollution were also detected in the Bosmontspruit. Additionally, during the monitoring period, it was noted that the water was being utilized for domestic purposes, and may pose health hazards due to poor water quality.


Geografie ◽  
2002 ◽  
Vol 107 (1) ◽  
pp. 23-39
Author(s):  
Jakub Langhammer

The non-point pollution sources represent an increasingly important component of the total pollution balance in the country as a result of a gradual reduction of the pollution load from point sources of surface water pollution. As this pollution component cannot be directly measured, various methods of calculation and modelling are used. The author has developed a new methodology for accurate evaluation of the spatial distribution of the pollution load from a river basin under the form of an empirical grid-based GIS model. The article describes this methodology and its application to the Berounka river basin with the aim to evaluate the spatial distribution of the load of the key pollution parameters.


Author(s):  
Anatolii Kondratiuk

The main sources of surface water pollution are determined, mathematical models describing the change of values of chemical and bacteriological indicators of river water quality are considered, the consequences of influence of untreated or under-treated wastewater discharged into rivers on the quality of water in it are substantiated, predictive models of the state of pollution of surface waters are built on the basis of GIS of the Styr River at five observation stations within the Volyn and Rivne regions for the period up to 2022, it has been proved that periodic monitoring of surface water pollution is sufficient for their qualitative forecasting of their condition, etc. In recent decades, GIS has been an effective tool for wastewater management and, therefore, more effective decision-making, as it greatly simplifies the processing of large amounts of geospatial and attributive data. The use of GIS provides the integration of maps to identify places of potential pollution and geographical indication of pollution in different parts of the river, downstream to the outlets of wastewater. Studies of river processes have always been conducted primarily to study their impact on river water quality. Water quality is the main characteristic of rivers in the analysis of their ecological condition and in terms of water use. Our study emphasizes the feasibility and effectiveness of short-term continuous monthly measurement of water quality and the development of the river index in order to focus management decisions on the gradual improvement of water quality. In this study, mathematical modeling of river pollution forecasting was used and forecast diagrams for 2021-2022 were constructed. As a result, these data will be an effective environmental decision-making tool for the implementation of optimal engineering controls at points of interest to prevent environmental damage and protect human health.


Author(s):  
Minghao Shi ◽  
Bing Geng ◽  
tiantao Zhao ◽  
Feifei Wang

Atmospheric substances can enter surface water through dry and wet deposition, which contributes to surface water pollution and is one indispensable cause of water eutrophication. Rainwater is a high-quality alternative...


Author(s):  
Wuxia Bi ◽  
Baisha Weng ◽  
Zhe Yuan ◽  
Mao Ye ◽  
Cheng Zhang ◽  
...  

It is of great significance to study the effects and mechanisms of the key driving forces of surface water quality deterioration—climate change and LUCC (land use and land cover change). The Luanhe River Basin (LRB) in north-eastern China was examined for qualitatively and quantitatively assessing the responses of total nitrogen (TN) and total phosphorus (TP) loads on different climate scenarios and LUCC scenarios. The results show that from 1963 to 2017, the TN and TP loads basically presented a negative correlation with the temperature change (except for winter), while showing a significant positive correlation with the precipitation change. The incidence of TN pollution is sensitive to temperature increase. From 2020 to 2050, the annual average loads of TN and TP were slightly lower than from 1963 to 2017. The contribution of rising temperature was more significant on nutrient loads. Also, the incidence of TN pollution is sensitive to the future climate change. Under LUCC scenarios, the TN and TP loads and pollution incidence increased correspondingly with the decrease of natural land. The evolution characteristics analysis can provide support for the effect and adaptation-strategies study of climate change and LUCC on surface water quality.


2021 ◽  
Vol 103 (4) ◽  
pp. 6-19
Author(s):  
Zh.S. Mustafayev ◽  
◽  
L.M. Ryskulbekova ◽  

Based on the structural analysis of complex hydrochemical indices for assessing surface water pollution used in various river basins, and the laws of limiting factors, a mathematical model was obtained in the form of the maximum permissible water pollution coefficient (Kпдзi), representing the product of the water content coefficient (Kb) and the maximum water pollution (Kпзi), by based on the laws of nature, principles and properties of natural processes in, together with the water pollution index (ИЗВ), are used for the geoecological assessment of the surface water quality of the Ile River basin on a spatial-temporal scale, taking into account the regulatory criteria for maximum permissible concentrations of pollutants for fishery water bodies, that between the coefficient of the maximum permissible water pollution (Kпдзi) and the water pollution index (ИЗВ) there is a pronounced relationship, described by a logarithmic equation, allowing them to be used to assess the ecological state water bodies. Water quality assessment was carried out for four hydrological sections of the Ile River catchment basin, which showed that water pollution is of a transboundary nature, since at the Dobyn hydrological station, located on the borders of the Republic of Kazakhstan and the People's Republic of China, the water quality is «polluted», and from the Kapshagai reservoir to Lake Balkhash «moderately polluted», where due to the selfcleaning ability of the aquatic ecosystem and the waters coming from the tributaries, there is some improvement in water quality.


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