scholarly journals Distribution characteristics and source analysis of sulfate in the main rivers of Heze city, China

Author(s):  
Qiang Ma ◽  
Chuanjie Xing ◽  
Huizhong Sun ◽  
Xue Zhang ◽  
Lirong Xu

Abstract Throughout the last few decades, sulfate concentrations in streamwater have received considerable attention due to their dominant role in anthropogenic acidification of surface waters. In order to determine the cycle of riverine sulfate, affected by natural weathering and anthropogenic activities, the Zhuzhaoxin River Basin and Dongyu River Basin in Heze City, China are selected. The conventional hydrochemical characteristics, distribution characteristics of sulfate concentration, and distribution characteristics of sulfur and oxygen isotopes are analyzed and texted. The results are as follows: The concentration of SO42− in the surface water of the study area increased gradually from upstream to downstream. In the study area, the δ34SSO4 and δ18OSO4 value in the surface water of Zhuzhaoxin River Basin ranges from +8.0‰ to +22.3‰ and +7.3‰ to +10.5‰, respectively, while the values of Dongyu River Basin are between +9.3‰ ∼ +9.5‰ and +4.2‰ ∼ +8.1‰. The main sources of SO42− in the Zhuzhaoxin River Basin are domestic sewage, industrial and mining wastewater and the evaporation of dissolved salt rock, and their average contribution rates are more than 50 and 30% respectively; the main sources of SO42− in the Dongyu River Basin are agricultural activities and atmospheric precipitation, and their average contribution rates are more than 60 and 20%, respectively.

Water ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 948 ◽  
Author(s):  
Huanhuan Qin ◽  
Bai Gao ◽  
Liu He ◽  
Xiaohong Hu ◽  
Lei Dong ◽  
...  

Anthropogenic activities have had diversiform impacts on the surrounding river and environments. A study on the surface water of the Lhasa River Basin was undertaken to assess its hydrogeochemical characteristics under the influence of anthropogenic activities. A total of 16 samples collected from the Lhasa River were analyzed for pH, electric conductivity (EC), oxidation-reduction potential (ORP), total dissolved solids (TDS), major cations (K+, Na+, Ca2+, and Mg2+), major anions (Cl−, SO42−, HCO3−, and NO3−), and trace metals. The pH of the analyzed water samples varied from 6.40 to 9.10, indicating alkaline in nature. The EC values varied from 77.3 to 213 μs/cm while the TDS values varied from 73.37 to 217.55 mg/L. HCO3− and SO42− are the dominant anions while Ca2+ and Na+ are the dominant cations in the river water. The concentration of alkaline earth metals (Ca2+ + Mg2+) exceed the alkali metals (Na+ + K+) and HCO3− dominates over SO42− + Cl− concentrations in the majority of the surface water samples. Ca2+-Mg2+-HCO3− and Ca2+-Mg2+-Cl− are the dominant hydrogeochemical facies in the surface water of the area. The water chemistry is mainly controlled by rock weathering with secondary contribution from anthropogenic sources. The content of trace elements in the Lhasa River is low, basically at the natural background value. The high content of individual elements is mainly due to the mineral resource exploitation and geothermal resources in the basin. Countermeasures and attention should be payed to these aspects, such as the construction of water conservancy facilities, urban economic development, the development of mining activities, and sewage and wastewater discharge, so as to protect the water quality and sustainable development of the Lhasa River Basin.


2020 ◽  
Author(s):  
Alexander Ahring ◽  
Marvin Kothe ◽  
Christian Gattke ◽  
Ekkehard Christoffels ◽  
Bernd Diekkrüger

<p>Inland surface waters like rivers, streams, lakes and reservoirs are subject to anthropogenic pollutant emissions from various sources. These emissions can have severe negative impacts on surface water ecology, as well as human health when surface waters are used for recreational activities, irrigation of cropland or drinking water production. In order to protect aquatic ecosystems and freshwater resources, the European Water Framework Directive (WFD) sets specific quality requirements which the EU member states must meet until 2027 for every water body.</p><p>Implementing effective measures and emission control strategies requires knowledge about the important emission pathways in a given river basin. However, due to the abundance of pollution sources and the heterogeneity of emission pathways in time and space, it is not feasible to gain this knowledge via water quality monitoring alone. In our study, we aim to combine SWAT ecohydrological modelling and long term water quality monitoring data to establish a spatially differentiated nitrogen emission inventory on the sub-catchment scale. SWAT (short for Soil and Water Assessment Tool) is a semi-distributed, dynamic and process-driven watershed model capable of simulating long term hydrology as well as nutrient fluxes on a daily time step.</p><p>The study area is the Swist river basin in North Rhine-Westphalia (Germany). Belonging to the Rhine river system, the Swist is the largest tributary of the Erft River and drains a basin area of approximately 290 km². As part of its legal obligations and research activities, the Erftverband local waterboard collects a large variety of long term monitoring data in the Swist river catchment, which is available for this study. This includes operational data from the wastewater treatment plants in the watershed, discharge data from four stream gauging stations, river water quality data from continuous and discontinuous monitoring, groundwater quality data as well as quality data from surface, sub-surface and tile drainage runoff from various land uses.</p><p>Our contribution will be made up of two equal parts: First, we will present our water quality monitoring activities in the catchment and the related data pool outlined above, with special emphasis on recent monitoring results from agricultural tile drainages. Apart from nutrients and other pollutants, the data suggests considerable inputs of herbicide transformation products like Chloridazon-Desphenyl (maximum concentration measured: 15 µg/l) via this pathway. Second, we will explain how we integrate the monitoring data into the SWAT simulations and how we tackle related challenges like parameter equifinality (meaning that multiple parameter sets can yield similar or identical model outputs). The overall goal is to take all possible emission pathways into consideration, including those often neglected in past SWAT studies, like tile drainages and combined sewer overflows (CSO). As the Swist catchment is affected by groundwater extraction due to lignite mining in the Lower Rhine Bay area, we will discuss how this is considered during SWAT model setup and calibration, and will present first simulation results concerning catchment hydrology.</p>


2020 ◽  
Vol 8 (10) ◽  
pp. 633-646
Author(s):  
G.M. Kawoun Alagbe ◽  
◽  
B. Ahamide ◽  
A. Alassane ◽  
F. Adandedji ◽  
...  

Surface water in the lower Oueme valley is prone to various pressures from anthropogenic activities as well as poor hygiene practices that favour its pollution. The present research aims to study the physicochemical quality of surface waters. Thus, seven (07) sampling sites have been selected with eighteen (18) parameters analysed. These are variables such as: hydrogen potential, temperature, electrical conductivity, dissolved oxygen, turbidity, suspended matter, calcium, magnesium, potassium, ammonium, nitrates, ortho-phosphates, chloride, sulphates, sodium, COD and BOD5 during high and low waters. The data were then processed through the Water Quality Assessment System (SEQ-Water) to determine the overall water quality. Similarly, Principal Component Analysis (PCA) is used to assess the relationships between the variables studied and their spatial distribution. The results show that during the two periods, surface waters are of very good quality 47.06% and 52.94%, of good quality 41.18% and 11.76%, of fair quality 17.65% observed only in low waters, of poor quality 5.88% and 11.76% and finally of very poor quality with 5.88%. As for the multivariate statistical study carried out through the PCA, it indicates the strong positive correlation of the variables NH4+, Na+, Cl-, CE and SO42- in periods of low water as well as the variables Mg2+ and T° strongly correlated in high water. Wastewater discharges, agricultural activities and poor hygiene practices are the main cause of water pollution.


Author(s):  
E.Kh. Mendybaev ◽  

The article is devoted to the study of the Ilek River basin. The article gives a physical and geographical description of the basin territory. The article considers the hydrological regime of the Ilek River and its tributaries as a result of expeditionary observations in 2018-2019. The article presents results of chemical analyzes of surface water samples from key observation sites located along the perimeter of the river (study area). After two years of fact-finding, a surface water geodatabase was created to integrate data with published literature, for forecasting and modelling geo-environmental zoning. There are also described the main sources of pollution in the Ilek River, and factors in the formation of anthropogenic geosystems. The scientific article also describes the main sources of pollution of the Ilek River, lists the factors of the formation of anthropogenic geosystems.


Water ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 1941 ◽  
Author(s):  
António Carlos Pinheiro Fernandes ◽  
Luís Filipe Sanches Fernandes ◽  
Daniela Patrícia Salgado Terêncio ◽  
Rui Manuel Vitor Cortes ◽  
Fernando António Leal Pacheco

Interactions between pollution sources, water contamination, and ecological integrity are complex phenomena and hard to access. To comprehend this subject of study, it is crucial to use advanced statistical tools, which can unveil cause-effect relationships between pressure from surface waters, released contaminants, and damage to the ecological status. In this study, two partial least squares-path models (PLS-PM) were created and analyzed in order to understand how the cause-effect relationships can change over two seasons (summer and winter) and how the used scale (short or long) can affect the results. During the summer of 2016 and winter of 2017 surface water parameters and the North Invertebrate Portuguese Index were measured in strategic sampling sites. For each site, it two sections were delineated: the total upstream drainage area (long scale) and 250 m (short scale). For each section, data of pressures in surface waters including point source, diffuse emissions and landscape metrics were gathered. The methodology was applied to the Sabor River Basin, located in the northeast of Portugal. In this study, it was possible to determine in which season pressures affect ecological integrity and also which scale should be addressed. The models showed the influences of manganese and of potassium concentrations in stream water on the decrease in summer water quality, while arsenic’s harmful effect occurs during winter. Pastures and environmental land use conflicts were considered threats to water quality when analyzed on a long scale, whereas agricultural areas played a role when the short scale was used. The effect of landscape edge density revealed to be independent of scale or season. Effluent discharges in surface water affected the water quality during the summer season, while the effect of discharges in groundwater affected the water quality in winter. It has also been found that, to find the harmful effect of pressures, it is necessary to approach different scales and that the role of landscape metrics can also overlap contaminant sources.


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