scholarly journals A Proposal for Redesigning the Water Quality Network of the Tunjuelo River in Bogotá, Colombia through a Spatio-Temporal Analysis

Resources ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 64 ◽  
Author(s):  
Carlos Peña-Guzmán ◽  
Lina Soto ◽  
Angie Diaz
Keyword(s):  
Economic Growth ◽  
Water Quality ◽  
Surface Water ◽  
Surface Water Quality ◽  
Temporal Analysis ◽  
Government Agencies ◽  
Urban Center ◽  
Spatial And Temporal Analysis ◽  
Spatio Temporal ◽  
The City

Bogotá is the capital of Colombia and represents the most important urban center in the country. Bogotá’s population and economic growth have accelerated exponentially in recent years and this growth has brought with it a variety of environmental impacts, including degradation of surface water quality. Government agencies have developed the water quality network of Bogotá that spans across four large rivers, including the Tunjuelo. According to measurements since 2009, water quality has changed in association with the dynamics of the city. This article utilizes a spatial and temporal analysis with multivariate statistics (Principal Components Analyses, dendograms, and Kruskal-Wallis) to propose a redesign of the Tunjuelo River water quality network. Based on these analyses, the number of monitoring stations can be reduced from nine to seven and the measurement frequency can be reduced. Together, the proposed spatial and temporal redesign would reduce the sample acquisition and analysis costs across the network by 50%.

scholarly journals EVALUATION OF SURFACE WATER QUALITY OF THE AREA OF INFLUENCE OF THE LANDFILL OF THE CITY OF MANAUS/AM

2019 ◽  
Vol 7 (11) ◽  
pp. 1185-1195
Author(s):  
Ana Caroline Dos Passos Santos ◽  
ALEXANDRA AMARO DE LIMA ◽  
Igor Felipe Oliveira Bezerra
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Urban Expansion ◽  
Surface Water Quality ◽  
Fecal Coliforms ◽  
The Past ◽  
Collection Period ◽  
Area Of Influence ◽  
The City

This work aimed to evaluate the quality of surface water around the Manaus Solid Waste Landfill (ARSM), in which it is located near important waterways in a growing urban expansion area.  During the collection period, the parameters pH, T, fecal coliforms, OD, DBO5, nitrate, phosphate, turbidity and total solids were monitored, where these are the main parameters for performing water quality index calculations. The results analyzed indicate contamination in the streams near the perimeter of the Landfill, where the possible origins for non-conformities can be problems in draining the leached and waterproofing system of the landfill ponds. The recovery of the quality of these water resources is essential, since it is an area with flora and fauna that are heritage, not only of the residents who occupy their surroundings, but also the population of Manaus who in the past enjoyed bathing and fishing areas in the streams currently affected by the slurry produced in the landfill.

Reduction of zinc emissions from buildings; the policy of Amsterdam

2004 ◽  
Vol 49 (3) ◽  
pp. 189-196 ◽  
Author(s):  
E. Gouman
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Atmospheric Deposition ◽  
Surface Water Quality ◽  
Environmental Legislation ◽  
Existing Buildings ◽  
Polluted Sediment ◽  
Water And Sediment ◽  
Run Off ◽  
The City

In Amsterdam zinc coming from the roofs and gutters of the buildings accounts for about 50% of the zinc emissions into the surface water (i.e. canals and rivers). This causes water and sediment pollution. Dumping strongly polluted sediment costs ten times more then dumping less polluted mud. Therefore the City of Amsterdam has developed a policy for reducing the zinc emissions from buildings based on the current environmental legislation and the current national targets for surface water quality. Zinc roofs on new and renovated buildings are not permitted. Run off water from zinc roofs of existing buildings is allowed to contain a maximum of 200 μg/l zinc. For the zinc gutters of houses, Amsterdam will promote measures to reduce zinc emissions. To investigate the feasibility of measures, research has been carried out on the zinc emissions of gutters and the effect of covering gutters with an impermeable foil. This research shows clearly that covering zinc gutters with EPDM foil reduces the zinc emissions by 90% from 8.5 to 0.88 gram per square metre per year including the atmospheric deposition.

scholarly journals Surface Water Quality Assessment Using Remote Sensing, Gis and Artificial Intelligence

2019 ◽  
Vol 1 (1) ◽  
pp. 113-122
Author(s):  
A. KC ◽  
A. Chalise ◽  
D. Parajuli ◽  
N. Dhital ◽  
S. Shrestha ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Remote Sensing ◽  
Water Quality ◽  
Surface Water ◽  
Quality Assessment ◽  
Satellite Imagery ◽  
Surface Water Quality ◽  
Water Quality Assessment ◽  
The Relationship ◽  
The City

The deterioration of surface water quality occurs due to the presence of various types of pollutants from human activities such as agriculture, industry, construction, deforestation, etc. Thus, the presence of various pollutants in water bodies can lead to deterioration of both surface water quality and aquatic life. Conventional surface water quality assessment methods are widely performed using laboratory analysis, which are labour intensive, costly, and time consuming. Moreover, these methods can only provide individual concentration of surface water quality parameters (SWQPs), measured at monitoring stations and shown in a discrete point format, which are difficult for decision-makers to understand without providing the overall patterns of surface water quality. To such problem, Remote Sensing has been a blessing because of its low cost, spatial continuity and temporal consistency. The relationship between SWQPs and satellite data is complex to be modelled accurately by using regression-based methods. Therefore, our study attempts to develop an artificial intelligence modelling method for mapping concentrations of both optical and non-optical SWQPs. This study aims to develop techniques for estimating the concentration of both optical and non-optical SWQPs from Satellite Imagery (Landsat8) which supports coastal studies and mapping the complex relationship between satellite multi-spectral signature and concentration of SWQPs. It will also focus on classifying the most significant SWQPs that contribute to both spatial and temporal surface water quality. In contrast to traditionally performed surface water quality assessment methods, this research project will be focused on identifying such parameters incorporating the new and evolving machine intelligence that is Artificial Intelligence (AI). Significant number of samples have to be collected along with the GPS data which is used to model the relationship. In this context, a remote-sensing framework based on the back-propagation neural network (BPNN) will be developed to quantify concentrations of different SWQPs from the Landsat8 satellite imagery. The study area chosen for this research is Bijayapur River of distance approximately 10 km flowing above, through and down the Pokhara city. The sole purpose of this research is to examine the water quality before it flows through the city and analysing after it passes through the city.

Sign in / Sign up

Export Citation Format

Share Document