Multi-step ahead modelling of river water quality parameters using ensemble artificial intelligence-based approach

Abstract One closed uncontrolled landfill, the Neihu garbage dump, and one active controlled landfill, the Sanzhuku sanitary landfill, were selected for investigation of their leachate characteristics and effects on adjacent river water quality before and after rainfall in northern Taiwan. A total of seven samplings were made during February and June 2007, with four samplings done after individual rainfall events on study sites. Water quality of runoff samples collected from the Sanzhuku sanitary landfill showed less pollution than the water quality of leachates collected from the Neihu garbage dump; however, some water quality levels of leachate samples collected from the Neihu garbage dump were relatively high, such as ammonia nitrogen (NH3-N), orthophosphate (PO43-) and biochemical oxygen demand (BOD5). At the uncontrolled dump, rainfall lead to dilution effects on river water NH3-N and PO43- concentrations, but not other water quality parameters. In contrast, the concentrations of bisphenol A (BPA) and nonylphenol were increased in both types of landfills after rainfall in the present study. Dilution effects of rainfall on most water quality parameters and toxicity tests were observed in the Neihu garbage dump leachates after rainfall, but not for the Sanzhuku Landfill runoff. The highest concentration of BPA measured in this study was 25.8 μg L-1 in the Sanzhuku sanitary landfill runoff after the heaviest rainfall event, during which 236 mm of rainfall accumulated over four days. The results of this study suggest that both uncontrolled and controlled landfill leachates can be an important potential pollution source of BPA to adjacent water bodies.

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Reconstruction of river water quality missing data using artificial neural networks

Water Quality Research Journal ◽

10.2166/wqrjc.2015.044 ◽

2015 ◽

Vol 50 (4) ◽

pp. 326-335 ◽

Cited By ~ 3

Author(s):

Hossein Tabari ◽

P. Hosseinzadeh Talaee

Keyword(s):

Water Quality ◽

Missing Data ◽

River Water ◽

Missing Values ◽

Human Life ◽

Quality Parameters ◽

River Water Quality ◽

Water Quality Parameters ◽

Rbf Networks ◽

Input Variables

The monitoring of river water quality is important for human life and the health of the environment. However, water quality studies in many parts of the world, especially in developing countries, are restricted by the existence of missing data. In this study, the efficiency of the multilayer perceptron (MLP) and radial basis function (RBF) networks for recovering the missing values of 13 water quality parameters was examined based on data from five stations located along the Maroon River, Iran. The monthly values of other existing water quality parameters were used as input variables to the MLP and RBF models. According to the achieved results, the hardness missing values were estimated precisely by both the MLP and RBF networks, while the worst performance of the networks was found for the turbidity parameter. It was also found that the MLP models were superior to the RBF models to reconstruct water quality missing data.

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Wavelet and statistical analyses of river water quality parameters: a case study in the Lower Minnesota River

Water Practice & Technology ◽

10.2166/wpt.2018.101 ◽

2018 ◽

Vol 13 (4) ◽

pp. 922-931 ◽

Cited By ~ 1

Author(s):

Ang Gao ◽

Shiqiang Wu ◽

Senlin Zhu ◽

Zhun Xu

Keyword(s):

Water Quality ◽

River Water ◽

Wavelet Decomposition ◽

Oxygen Demand ◽

Quality Parameters ◽

River Water Quality ◽

Water Quality Parameters ◽

Strong Negative Correlation ◽

Minnesota River ◽

One Year

Abstract Statistical and wavelet analyses are useful tools for analyzing river water quality parameters. In this study, they were employed to study parameters including biochemical oxygen demand (BOD), dissolved oxygen (DO), nitrate (NO3), ammonium (NH4), phosphate (PO4), total phosphorus (TP), total Kjeldahl nitrogen (TKN), chlorophyll a (CHLA), total suspended solids (TSS) and water temperature (TEMP) monitored at five hydrologic stations on the Lower Minnesota River, USA. Strong positive correlations were observed between CHLA-BOD, TP-TKN, TP-TSS and TKN-TSS, with strong negative correlation between DO-TEMP. Daubechies wavelet at level 5 has been calculated for some key water quality parameters as it gives the finer scale approximation and decomposition of each water parameter. The results show that TEMP and DO have relative quasi-periodicity of about one year, while the quasi-periodicity of NH4 and PO4 are weaker than for TEMP and DO. Correlations between some parameters based on wavelet decomposition results are consistent. The fluctuation range characteristics of some parameters were also analyzed through wavelet decomposition.

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Changes in the Lower Drava River Water Quality Parameters Over 24 Years

Archives of Industrial Hygiene and Toxicology ◽

10.2478/10004-1254-62-2011-2128 ◽

2011 ◽

Vol 62 (4) ◽

pp. 325-333 ◽

Cited By ~ 3

Author(s):

Vlatka Gvozdić ◽

Josip Brana ◽

Dinko Puntarić ◽

Domagoj Vidosavljević ◽

Danijela Roland

Keyword(s):

Water Quality ◽

River Water ◽

Heterotrophic Bacteria ◽

Organic Pollution ◽

Quality Parameters ◽

River Water Quality ◽

Water Quality Parameters ◽

Drava River ◽

High Concentrations ◽

Post War

Changes in the Lower Drava River Water Quality Parameters Over 24 YearsThe goal of this study was to analyse 13 physico-chemical and microbiological parameters of the Drava River water at three sampling sites in the lower Drava region (eastern Croatia) over two distinct periods: the pre-war period between 1985 and 1992 and the post-war period between 1993 and 2008. Over both periods, most parameters kept within the tolerable water quality limits, while NO3-N, NH4-N and BOD5 were higher. The lower Drava showed slight organic pollution with high concentrations of dissolved oxygen. High levels of total coliforms and heterotrophic bacteria in the post-war period were only found downstream of the town of Osijek. Upstream of Osijek, the river showed a tendency for improvement.

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ANALISIS KUALITAS PERAIRAN DI SUNGAI KOMERING DESA ULAK JERMUN KABUPATEN OGAN KOMERING ILIR SEBAGAI DASAR PENGELOLAAN BUDIDAYA IKAN SISTEM KERAMBA

Jurnal Akuakultur Rawa Indonesia ◽

10.36706/jari.v5i2.7142 ◽

2018 ◽

Vol 5 (2) ◽

pp. 182-194

Author(s):

Reno Irawan ◽

Robiyanto Hendro Susanto ◽

Mohamad Rasyid Ridho

Keyword(s):

Water Quality ◽

River Water ◽

Quality Criteria ◽

Quality Standard ◽

Quality Parameters ◽

River Water Quality ◽

Water Quality Parameters ◽

Survey Method ◽

Water Quality Criteria ◽

River Waters

ABSTRACT The increasing of people amount, the more activities done happen around the Komering River. Many activities done can potentially lead to a decrease in water quality in the river. This study aimed to analyze the water quality in accordance with the raw river water quality criteria for class I and to analyze the water quality state in the Komering river of Ulak Jermun village Sirah Pulau Padang District. This research was conducted in the Komering Ulak Jermun village Sirah Pulau Padang District from November to December 2016. The observation of water samples conducted at the Laboratory Pengujian Terpadu of Chemistry Faculty of Mathematics University of Sriwijaya. This research used survey method that consists of three stations with 9 sampling points and sampling was conducted 4 times in a month. Based on the analysis of water quality parameters are still within the range of quality standards among others, temperature, pH, BOD5 and phosphate while the water quality parameters exceed the quality standard that TSS, dissolved oxygen, COD and ammonia and based on the analysis storet Komering river waters classified into water quality class C, i.e. moderately contaminated. Keywords: Komering River, Water Quality, Storet Methods, Water Quality Index

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