scholarly journals Calculating expected effects of treatment effectivity and river flow rates on the contribution of WWTP effluent to the ARG load of a receiving river

2021 ◽  
Vol 288 ◽  
pp. 112445
Author(s):  
Carsten Ulrich Schwermer ◽  
Wolfgang Uhl
1990 ◽  
Vol 22 (5) ◽  
pp. 45-50
Author(s):  
D. V. Janković

The water quality of the surface and ground waters, and the characteristics of the aquatic organism communities of the Yugoslav stretch of the River Danube were investigated. River flow rates were estimated according to recorded water levels and the hydrodynamic and morphological characteristics of certain profiles, and by using a mathematical model which included operation of the Djerdap Hydroelectric Power Station (HEPS). During May 1986, water flow rates were 3200 to 6000 m3/s, and in September they were two, times slower. All physical and chemical parameters were determined using standard Yugoslav and German methods (DEV). Regarding the 14 metals analysed, the water samples were satisfactory, while the contents of metals in the pelitic fraction (i.e., diameter ≤ 2 µm) of the sediments indicated the existence of pollution. The pelitic fraction of the sediments was subjected to trace element analysis by an emission spectrographic technique using germanium as the internal standard. The overall precision was ± 12%. Water ecosystem saprobity was estimated according to Pantle-Buck and Roth-schein. The saprobity ranged from beta to alpha-betamesosaprobity. The contents of trace elements in the water, sediment, and aquatic communities indicated the transfer of pollutants between the various ecosystem compartments.


2015 ◽  
Vol 73 (6) ◽  
pp. 1395-1400
Author(s):  
Minghao Kong ◽  
Yonghui Song ◽  
Yizhang Zhang ◽  
Ruixia Liu ◽  
Jian Wei ◽  
...  

The fate and distribution of six phthalate esters (PAEs) in a municipal wastewater treatment plant (WWTP) employing an anaerobic/anoxic/oxic (A2/O) process were investigated. The process achieved relatively high removal efficiencies of PAEs in the range 55–97%. It illustrated that biotransformation and sludge-adsorption were major elimination pathways by analyzing the mass balance and flux of PAEs. About 83% of ∑PAEs was entirely removed by A2/O bioreactors indicating biotransformation is the dominant removal mechanism. PAEs with shorter alkyl chain length and higher water solubility were more biodegradable. Less than 6% of ∑PAEs were removed by excess sludge adsorption. The sludge-adsorption capacity of PAE depends on its hydrophobicity. The levels and fluxes of PAEs were analyzed by monitoring different sites of the receiving river of the WWTP effluent to clarify the potential impact of discharge. Daily flux of PAEs upstream and downstream of the discharging point were 113 kg·d−1 and 205 kg·d−1, respectively, which were higher than the effluent devotion value of 6.67 kg·d−1. It suggested that the emissions from the WWTP appeared to be less than those from the other possible sources, such as potential untreated discharge and surface runoff. Improvement of wastewater collection efficiencies is necessary to eliminate the PAE load in the urban river.


2011 ◽  
Vol 25 (1) ◽  
pp. 41
Author(s):  
Alif Noor Anna ◽  
S Suharjo ◽  
Munawar Cholil

This research aims to analyse rain fluctuation and river morphology to flood concentration in Bengawan Solo River, Surakarta. The method of this research is field survey supported by secondary data analysis. The survey was conducted using GPS (Global Positioning System). The result indicates that high intensity rainfall in the research area happened during October till April. River flow in dry season generally decreased in accordance with the distribution of low rainfall (dry month). Whereas, river flow rates seen to increase along with the rainfall that occurs in the rainy season. Other result show that point 11-18 (location in Tanjung village district of Sukoharjo till Semanggi village district of Pasar Kliwon) very superficial which became impact of the river. The point represent floods concentration, therefore if there is rain with high quantity, the water will rise and overflow to surface, especially point 11, 13, and 16 (Tanjung, Kedunggudel, and Telukan village district of Sukoharjo). The processes that occurred at these sites are sedimentation, and lateral erosion (horizontal erosion).


2015 ◽  
Vol 12 (6) ◽  
pp. 5789-5840 ◽  
Author(s):  
C. Mathison ◽  
A. J. Wiltshire ◽  
P. Falloon ◽  
A. J. Challinor

Abstract. South Asia is a region with a large and rising population and a high dependance on industries sensitive to water resource such as agriculture. The climate is hugely variable with the region relying on both the Asian Summer Monsoon (ASM) and glaciers for its supply of fresh water. In recent years, changes in the ASM, fears over the rapid retreat of glaciers and the increasing demand for water resources for domestic and industrial use, have caused concern over the reliability of water resources both in the present day and future for this region. The climate of South Asia means it is one of the most irrigated agricultural regions in the world, therefore pressures on water resource affecting the availability of water for irrigation could adversely affect crop yields and therefore food production. In this paper we present the first 25 km resolution regional climate projections of river flow for the South Asia region. ERA-Interim, together with two global climate models (GCMs), which represent the present day processes, particularly the monsoon, reasonably well are downscaled using a regional climate model (RCM) for the periods; 1990–2006 for ERA-Interim and 1960–2100 for the two GCMs. The RCM river flow is routed using a river-routing model to allow analysis of present day and future river flows through comparison with river gauge observations, where available. In this analysis we compare the river flow rate for 12 gauges selected to represent the largest river basins for this region; Ganges, Indus and Brahmaputra basins and characterize the changing conditions from east to west across the Himalayan arc. Observations of precipitation and runoff in this region have large or unknown uncertainties, are short in length or are outside the simulation period, hindering model development and validation designed to improve understanding of the water cycle for this region. In the absence of robust observations for South Asia, a downscaled ERA-Interim RCM simulation provides a benchmark for comparison against the downscaled GCMs. On the basis that these simulations are among the highest resolution climate simulations available we examine how useful they are for understanding the changes in water resources for the South Asia region. In general the downscaled GCMs capture the seasonality of the river flows, with timing of maximum river flows broadly matching the available observations and the downscaled ERA-Interim simulation. Typically the RCM simulations over-estimate the maximum river flows compared to the observations probably due to a positive rainfall bias and a lack of abstraction in the model although comparison with the downscaled ERA-Interim simulation is more mixed with only a couple of the gauges showing a bias compared with the downscaled GCM runs. The simulations suggest an increasing trend in annual mean river flows for some of the river gauges in this analysis, in some cases almost doubling by the end of the century; this trend is generally masked by the large annual variability of river flows for this region. The future seasonality of river flows does not change with the future maximum river flow rates still occuring during the ASM period, with a magnitude in some cases, greater than the present day natural variability. Increases in river flow during peak flow periods means additional water resource for irrigation, the largest usage of water in this region, but also has implications in terms of inundation risk. Low flow rates also increase which is likely to be important at times of the year when water is historically more scarce. However these projected increases in resource from rivers could be more than countered by changes in demand due to reductions in the quantity and quality of water available from groundwater, increases in domestic use due to a rising population or expansion of other industries such as hydro-electric power generation.


1980 ◽  
Vol 47 (3-4) ◽  
pp. 251-267 ◽  
Author(s):  
P. Bolzern ◽  
M. Ferrario ◽  
G. Fronza

2010 ◽  
Vol 1 (1) ◽  
pp. 36-54 ◽  
Author(s):  
Christopher Potter ◽  
John Shupe ◽  
Peggy Gross ◽  
Vanessa Genovese ◽  
Steven Klooster

River discharge rates across all California's watershed have been modeled using the NASA version of the Carnegie-Ames-Stanford Approach (CASA) ecosystem model coupled with a surface hydrologic routing scheme previously called the Hydrological Routing Algorithm (HYDRA). To assess CASA-HYDRA's capability to estimate actual water flows in extreme and non-extreme precipitation years, we have organized hundreds of California river gauge records for comparison to monthly model predictions. Previously, CASA-HYDRA snowmelt algorithms were modified with equations from the USDA Snowmelt Runoff Model, which has been designed to predict daily stream flow in mountain basins where snowmelt is a major runoff factor. Based on model predictions of monthly flow rates across 336 stream gauges statewide, the multi-year model-to-measurement correlation between monthly river flow rates was R2=0.72. The model output was 15% higher across all these stream gauges than the measured monthly flow records for 1982–1990. It is plausible that the model would predict higher flow rates statewide than was measured at many gauge locations, due mainly to extensive water diversions for power generation and crop irrigation in the valley growing regions of the state. Predictions for gauges located on the state's North Coast and Sierra regions showed errors distributed fairly evenly throughout the seasons, whereas results for Central Coast and Southern regions showed higher errors mainly during the summer and fall. Future model applications for land cover and climate change in California are outlined.


2016 ◽  
Vol 18 (4) ◽  
pp. 651-665 ◽  
Author(s):  
Srđan Kostić ◽  
Milan Stojković ◽  
Stevan Prohaska ◽  
Nebojša Vasović

In the present paper we propose a new model of monthly river flow rate as a simple nonlinear function of air temperature and rainfall. Response surface methodology is used to analyze the observed monthly flow rates from 1950 to 1990 for Great Morava River, as the largest domestic river in Serbia. Obtained results indicate significant linear and quadratic effect of both individual factors, while two-factor interactions show significantly smaller influence, indicating occurrence of maximum flow rate for low temperature and high rainfall regime. Statistical reliability of the proposed model is verified by internal and external validation, the latter of which included comparison of predicted and observed values from 1991 to 2012. It is shown that predicted flow rates exhibit a similar statistical pattern as observed ones, with a satisfying value of Nash–Sutcliffe coefficient (NSE = 0.73), although the derived model cannot capture well the highest flow rates. Obtained results further indicate the sequence of residuals represents random time series, which is confirmed by appropriate test statistics and surrogate data testing. The advantage of using the derived model for hydrological simulations in river basins instead of existing ones lies in its explicit mathematical form, making it suitable for quick and reliable estimation and prediction of monthly flow rates.


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