Seasonal Dynamics of Surface Water Quality and River Water Quality Deterioration in an Urban Area of Mongolia

Using historical data to identify future water quality trends<ol><li>Lintern</li> <li>Kho</li> <li>Guo</li> <li>Liu</li> <li>Duvert</li> </ol>&#160;Climate change is expected to have a severe impact on water resources management in Australia. This is expected to lead to increasing frequency in extreme hydrological events such as droughts and floods, which will in turn contribute to higher risks of bushfires, fish kills, and water shortage for both humans and the environment. The potential impacts of these climate-change-induced extreme events on the quantity of water available to humans and the environment are relatively well understood. However, we have little understanding of the effect on the water quality of Australian rivers. This project aims to start filling this gap in our understanding.Our key objectives are:(1) to identify how extreme hydrological events such as droughts and floods have affected river water quality over the last two decades, and explore how spatially variable these impacts have been across the Australian continent.(2) to use these past observations as a basis to predict how river water quality will be affected by climate change across the continent, and identify the locations within Australia that will be most vulnerable to water quality deterioration in the near future.There is a wealth of historical water quality data for each state in Australia, but these datasets have not yet been investigated systematically to develop a nation-wide understanding of water quality patterns. We believe that only a continental-scale understanding of the response of river water quality to extreme hydrological events will allow for the development of robust predictive models of climate change impacts on water quality. Knowing the potential hotspots for future water quality deterioration will be a key step towards identifying priorities for catchment planning and management.In this poster, we will present the preliminary findings of this project by detailing the spatial variability in the impact of hydrological events on water quality across the state of Victoria in South-East Australia.

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Unfolding Water Quality Status During COVID-19 Lockdown for the Highly Polluted Santiago River in Jalisco, Mexico

10.21203/rs.3.rs-581075/v2 ◽

2021 ◽

Author(s):

Gurusamy Kutralam-Muniasamy ◽

Fermín Pérez-Guevara ◽

Ignacio Elizalde Martinez ◽

Shruti Venkata Chari

Keyword(s):

Water Quality ◽

River Water ◽

Total Nitrogen ◽

Surface Water Quality ◽

Quality Parameters ◽

River Water Quality ◽

Organic Load ◽

The Government ◽

Temporary Closure

Abstract The Santiago River is one of Mexico's most polluted waterways and evaluating its surface water quality during the COVID-19 outbreak is critical to assessing the changes and improvements, if any, from the nationwide lockdown (April-May 2020). Hence, the data for 12 water quality parameters from 13 sampling stations during April-May 2020 (lockdown) were compared with the levels for the same period of 2019 (pre-lockdown) and with the same interval of previous eleven-years (2009-2019). The values of BOD (14%), COD (29%), TSS (7%), f. coli (31%), t. coli (14%) and Pb (20%) declined, while pH, EC, turbidity, total nitrogen and As enhanced by 0.3-21% during the lockdown compared to the pre-lockdown period suggesting decrements of organic load in the river due to the temporary closure of industrial and commercial activities. An eleven-year comparison estimated the reduction of pH, TSS, COD, total nitrogen and Pb by 1-38%. The analysis of water quality index estimates showed short-term improvements of river water quality in the lockdown period, compared to pre-lockdown and eleven-year trend as well as indicated very poor quality of the river. The contamination sources identified by factor analysis were mainly related to untreated domestic sewage, industrial wastewaters and agriculture effluents influencing the river water quality. Overall, our findings demonstrated positive responses of COVID-19 imposed lockdown on water quality of the Santiago River during the study period, providing a foundation for the government policy makers to identify the sources of pollution, to better design environmental policies and plans for water quality improvements.

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Assessment and control of surface water resources through river water quality modelling

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)66501-7 ◽

1977 ◽

Vol 10 (14) ◽

pp. 505-513

Author(s):

H.H. Hahn ◽

J. Ruf

Keyword(s):

Water Quality ◽

Surface Water ◽

Water Resources ◽

River Water ◽

River Water Quality ◽

Water Quality Modelling ◽

Surface Water Resources ◽

And Control ◽

River Water Quality Modelling

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Surface water quality around DEPZ industrial area, Savar, Dhaka

Bangladesh Journal of Scientific and Industrial Research ◽

10.3329/bjsir.v47i3.13061 ◽

2012 ◽

Vol 47 (3) ◽

pp. 279-286

Author(s):

H Momtaz ◽

F Alam ◽

MA Ahsan ◽

MA Akbor ◽

MM Rashid

Keyword(s):

Water Quality ◽

Surface Water ◽

Point Source ◽

Chemical Constituents ◽

Chemical Properties ◽

Surface Water Quality ◽

Industrial Area ◽

Positive Interaction ◽

Physico Chemical ◽

Water Quality Deterioration

Some important physico-chemical properties of surface water around DEPZ industrial area, Savar were studied to evaluate the water quality. Seven water samples were collected from major waterbodies of DEPZ industrial area. The value of Physico-chemical parameter such as Temperature (57-24°C), pH (12.45-7.58), EC (12400-2060 ?s/cm), BOD5 (895-63.19 mg/L), TSS (2170-435 mg/L), TDS (6840-1036 mg/L), Turbidity (89.55-32.16 mg/L) and Salinity (7.1-1.0 ppt) were highest in the point source (W1) and began to decline as the waste dispersed through the nearby waterbodies (W2-W7). The result revealed that all the chemical constituents, except a few, were beyond the recommended limit for various uses. The lowest content of DO (0.10 mg/L) and highest content of BOD5 (895 mg/L) in point source waterbody indicate that the industries were releasing large amount of oxygen demanding organic wastes which subsequently affected all the studied waterbody. Among metal content of the study area, the value of Fe (1.331-0.443 mg/L), Zn (0.308-0.134 mg/L), Cu (0.244 0.127 mg/L) and Cr (0.615-0.055 mg/L) were gradually decreased from point source to the remote area. Point source (W1) waterbody had the highest concentration of Cr (0.615 mg/L) which exceeded the safe limit for industrial wastewater. This may be due to various chrome agent used in dyeing purposes. Anionic parameters like F- and PO4 3- were at intolerable limit in some waterbody. The coefficient of correlation analysis among physicochemical properties indicated that all the parameters had significant contribution to pollute the water. The correlation between DO and pH was strongly negative (r=-0.995**). Fe showed positive significant correlation with Zn, Cu and Cr. There was a significant positive interaction of PO4 3- with Cl- and NO3- in case of water quality deterioration. The above findings showed that the surface water around DEPZ industrial area was highly polluted by the industrial activities and was harmful for life. DOI: http://dx.doi.org/10.3329/bjsir.v47i3.13061 Bangladesh J. Sci. Ind. Res. 47(3), 279-286, 2012

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Analysis of urban land cover influence to organic carbon and nutrients in surface water via impacted groundwater

Environmental Monitoring and Assessment ◽

10.1007/s10661-020-8095-7 ◽

2020 ◽

Vol 192 (2) ◽

Cited By ~ 2

Author(s):

Katarzyna Puczko ◽

Elżbieta Jekatierynczuk-Rudczyk

Keyword(s):

Water Quality ◽

Surface Water ◽

Land Cover ◽

Urban Area ◽

Extreme Values ◽

Shallow Groundwater ◽

Essential Element ◽

Surface Water Quality ◽

Urban Land ◽

Urban Land Cover

AbstractThis paper presents an object-oriented approach for analysing and characterising the urban landscape structure and its influence on the quality of surface waters and shallow groundwater. We investigated springs, streams and ponds from an urban area. The land cover classification was adopted with the conceptual framework of urban land cover (HERCULES model). This study has demonstrated that water quality in the urban area is strongly related to land cover, and the degree of its transformation is not the same in all types of waters. The land with forests and shrubs does not have many extreme values in water chemical characteristics. Statistical analyses indicated that the main environmental factors influencing water chemistry are impermeable surfaces such as buildings. They are an essential element which deteriorates water quality. The patches with buildings and pavements were characterised by a wide gradient of nutrient concentration in rivers and ponds. Shallow groundwater had a limited effect on surface water quality.

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