Risk Assessment of Urban Lake Water Quality Based on in-situ Cyanobacterial and Total Chlorophyll-a Monitoring

Abstract

The aim of this study was to establish a simple and cost-effective method to monitor the effects of harmful algal blooms as exemplifi ed in Lake Powsinkowskie, and to link the monitoring results to potential health risks on the basis of established Alert Level Frameworks.An assessment of the severity of cyanobacterial development in Lake Powsinkowskie (52°9'27"N, 21°5'55"E), located in the Wilanów region, Warsaw, Poland, was performed to illustrate this. An Alert Level Framework based on cyanobacterial chlorophyll-a measurements was applied. Measurements of cyanobacterial chlorophyll-a in Lake Powsinkowskie were performed once per week at 10 locations on each side of the lake from May to July 2012. The highest algal densities were expected at the eastern side of the lake due to the use of fertilizers on the fi elds along the eastern shore, however, the opposite was observed. It seems that the conditions on the west side of the lake were more favourable for cyanobacterial growth.This study shows that an indication of the overall effects of eutrophication on algal growth and the potential risk of the presence of toxic cyanobacteria can easily be obtained using relatively simple, simultaneous measurements of total and cyanobacterial chlorophyll-a. The Alert Level Framework based on cyanobacterial chlorophyll-a levels is a rapid and easily applicable method for determining the severity of cyanobacterial developments.The fi ndings of this study indicate that a reduction in nutrient loading to protect Lake Powsinkowskie's unique species richness can be achieved by informing the local residents about the effects of draining cesspools directly into the lake. Studies such as this one can thus help to support awareness-raising among lake-side residents.

Hard Water and Dyeing Properties: Effect of Pre- and Post-Mordanting on Dyeing Using Eucalyptus globulus and Curcuma longa Extracts

“…It was observed that water hardness had an adverse effect on washing and rubbing fastness when fabric was dyed with both turmeric and eucalyptus extracts. Therefore, based on this study, the use of mordanting/sequestering agent is suggested to enhance the dye uptake and previous studies also revealed a similar trend that mordanting/sequestering can be used to enhance the color strength and color properties [27][28][29][30][31][32][33][34][35][36], and in view of current environmental pollution [37][38][39][40][41][42][43][44][45][46][47][48][49][50], the natural sources should be preferred to avoid a negative impact on the environment.…”

Machine Learning modeling techniques for forecasting the trophic level in a restored South Mediterranean lagoon using Chlorophyll-α

“…Cyanotoxins generated by cyanobacteria in lagoon water could present a risk to human health (Watzin et al 2006;Mc Quaid et al 2011;Kalaji et al 2016). In situations where the current cyanotoxin concentration is not available, Chl-a is also widely recognized as a surrogate indicator of cyanobacterial density (Wheeler et al 2012).…”

Improving Dam and Reservoir Operation Rules Using Stochastic Dynamic Programming and Artificial Neural Network Integration Model

“…The optimization of operational procedures is necessary for the effective management and planning of complex water resources systems [1]. Although water losses are a critical parameter that must be considered in the design of water distribution systems, little attention has been given to the consideration of these losses, which can affect the design accuracy [2]. Optimization and numerical simulation are the most powerful methods available for analyzing reservoir systems.…”