Fractal analysis in rural domestic wastewater quality under dissolved oxygen stability in wetlands planted with Chrysopogon zizanioides

Abstract

Chrysopogon zizanioides is a plant with adaptability characteristics in a variety of soils and climatic conditions, improves quality of wastewater and industrial water, due to the root system, allows the consumption of organic matter and capture pollutants. One of the water quality indicators is the amount of dissolved oxygen present. To analyze the recovery behavior of dissolved oxygen in wastewater, an artificial subsurface flow wetland was designed with stone as a filter material with dimensions 0.9 m wide, 2.5 m long and 0.60 m deep and 30 Vetiver plants. These dimensions and quantity of plants were considered appropriate in terms of space and low cost in order to replicate in rural and semi-urban areas, because in some of these they do not have an appropriate aqueduct, then this strategy becomes an option for people residing in these places. The water treated in this wetland is domestic wastewater from a rural house in the municipality of Floridablanca, Colombia. For 4 weeks the data of the dissolved oxygen present in said water was recorded using a multiparameter probe, to observe how effective the process is in a shorter time and using fractal dimension the volatility of this time series was observed.

Big Data Analysis Framework for Water Quality Indicators with Assimilation of IoT and ML

“…The statistical and fractal approaches may provide the variation in the parameters spatially, as the Himalayan region has undulating geography, as well as huge network sources of surface water. However, information from only ground observations of a single indicator fails to resolve the complicated geographical terrain, which has an influence mostly on the hydrological cycle either directly or indirectly [24]. Fractal analysis was performed on the quality of rural domestic wastewater under the condition of dissolved oxygen stability [25].…”