Water Quality Management at Palm Meadows Golf Course (Australia) by Limited Tidal Exchange

1989 ◽  
Vol 21 (2) ◽  
pp. 211-216 ◽  
Author(s):  
C. J. Milligan ◽  
A. B. McAlister
Keyword(s):  
Water Quality ◽  
Water Quality Management ◽  
Monitoring Program ◽  
Cost Savings ◽  
Water Quality Monitoring ◽  
Water Levels ◽  
Golf Course ◽  
Design Criteria ◽  
Tidal Exchange ◽  
Tidal Hydraulics

This paper describes the fulfillment of a design brief for a tidal exchange system for lakes within a golf course on the Queensland Gold Coast to maintain aesthetic appeal while retaining approximately constant water levels. Secondary objectives of minimal maintenance, yet ability of the system to support water based recreation were also defined. To achieve the above, a simulation of potential lake layouts and their tidal hydraulics was achieved using ‘ESTRY', a hydrodynamic modelling program developed by Winders, Barlow and Morrison. Output from the model defined the necessary design criteria. This allowed significant cost savings in civil works to be achieved during construction and minimal ongoing maintenance costs in the developed golf course complex. Confirmation of fulfillment of the design criteria has been provided by the satisfactory agreement between predicted model results and actual characteristics of the lakes and the results of a water quality monitoring program.

Optimization of Regional Water Quality Monitoring Strategies

1987 ◽  
Vol 19 (5-6) ◽  
pp. 721-727 ◽  
Author(s):  
J. Pintér ◽  
L. Somlyódy
Keyword(s):  
Water Quality ◽  
Water Quality Management ◽  
Water Quality Monitoring ◽  
Primary Objective ◽  
Lake Balaton ◽  
Monitoring Networks ◽  
Monitoring Strategies ◽  
Time Period ◽  
Computational Aspects ◽  
Indicator Model

A conceptual framework is presented for optimizing the operation of regional monitoring networks which assist water quality management. The primary objective of the studied network is to determine the annual nutrient load carried into a lake by its tributaries. Following the description of the basic (single time–period, single water quality indicator) model, several extension possibilities and computational aspects are highlighted. The suggested methodology is illustrated by a numerical example, concerning the surveillance system on the tributaries of Lake Balaton (Hungary).

Systems view of integrated water quality monitoring within the requirements of the new national water policy in South Africa

1998 ◽  
Vol 38 (11) ◽  
pp. 141-148 ◽  
Author(s):  
P. Marjanovic ◽  
M. Miloradov
Keyword(s):  
South Africa ◽  
Water Quality ◽  
Water Policy ◽  
Systems Approach ◽  
Water Quality Management ◽  
Water Quality Monitoring ◽  
Point Sources ◽  
Quality Monitoring ◽  
Efficient Manner ◽  
National Water

The new National water policy will change the way water quality is managed in South Africa. The paper considers the water policy and the repercussions it will have for water quality monitoring in South Africa. Using the systems approach the paper discusses an integrated water quality monitoring system for ambient water quality and point and non point sources of aquatic pollution. The proposed methodology makes possible continuos assessment of water quality in an efficient manner so as to support water quality management in South Africa.

scholarly journals Analysis Quality of Water River and Quality of Well Water in The Surrounding of Rejo Agung Baru Sugar Factory Madiun

2018 ◽  
Vol 10 (1) ◽  
pp. 1 ◽  
Author(s):  
Susanti Oktavia Ningrum
Keyword(s):  
Water Quality ◽  
Agricultural Waste ◽  
Water Quality Management ◽  
Domestic Wastewater ◽  
Quality Standards ◽  
Water Quality Monitoring ◽  
Well Water ◽  
Sugar Factory ◽  
Quality Of Water

The quality of wastewater sugar factory produced will affect the environmental health quality around the factory. The study aimed to analyze the quality of water river and the quality of wells around the Rejo Agung Baru sugar factory in the Madiun. This study is an descriptive observational. The samples comprised of 5 sampels of water rivers and 7 samples of well water. The results of the study at the quality of water river showed that there are parameters (BOD5 and temperature) unqualified with the quality standards based on the East Java Regional Regulation No. 2 of 2008 about Water Quality Management and Water Pollution Control in the East Java, the quality of water river is also affected by the waste water, trash, agricultural waste, and other pollutants. The result of measuring the quality of water well showed that there are parameters (organic substance) unqualified with quality standards based on Permenkes No: 416/Menkes/PER/ IX/1990 about the Terms and Water Quality Monitoring, the quality of Well water is also affected by the quality of water river, a distance of toilet, domestic wastewater and other pollutants. The quality of water river and the quality of well water have decreased that required supervision on the quality of a river water and the quality of water of a well.

scholarly journals Application of multivariate statistical techniques in the water quality assessment of Danube river, Serbia

2015 ◽  
Vol 41 (4) ◽  
pp. 96-103 ◽  
Author(s):  
Danijela Voza ◽  
Milovan Vukovic ◽  
Ljiljana Takic ◽  
Djordje Nikolic ◽  
Ivana Mladenovic-Ranisavljevic
Keyword(s):  
Water Quality ◽  
Water Quality Management ◽  
Surface Water Quality ◽  
Principal Component ◽  
Water Quality Assessment ◽  
Water Quality Monitoring ◽  
Danube River ◽  
Multivariate Techniques ◽  
Data Set ◽  
Political Issue

AbstractThe aim of this article is to evaluate the quality of the Danube River in its course through Serbia as well as to demonstrate the possibilities for using three statistical methods: Principal Component Analysis (PCA), Factor Analysis (FA) and Cluster Analysis (CA) in the surface water quality management. Given that the Danube is an important trans-boundary river, thorough water quality monitoring by sampling at different distances during shorter and longer periods of time is not only ecological, but also a political issue. Monitoring was carried out at monthly intervals from January to December 2011, at 17 sampling sites. The obtained data set was treated by multivariate techniques in order, firstly, to identify the similarities and differences between sampling periods and locations, secondly, to recognize variables that affect the temporal and spatial water quality changes and thirdly, to present the anthropogenic impact on water quality parameters.

Systems approach to effective water quality management in the Republic of South Africa, existing situation and expected future developments

1998 ◽  
Vol 38 (11) ◽  
pp. 77-85
Author(s):  
P. Marjanovic ◽  
M. Miloradov ◽  
F. van Zyl
Keyword(s):  
South Africa ◽  
Water Quality ◽  
Quality Management ◽  
Water Policy ◽  
Systems Approach ◽  
Water Quality Management ◽  
Water Quality Monitoring ◽  
Point Sources ◽  
Sources Of Pollution ◽  
Management Functions

The new National water policy will change the way water quality is managed in South Africa. The paper considers the water policy and the repercussions it will have for water quality management in South Africa and proposes a system that can be used to come up with optimum solutions for water quality management. The proposed solution integrates policy and institutional arrangements with the Cadastral system for point and non point sources of pollution and optimisation tools to ensure optimal management of water quality at any given time. The water quality management functions catered for by the proposed system are: resource allocation for pollution discharge, water quality protection, water quality monitoring, planning, development and operation.

scholarly journals A Multivariate and Spatiotemporal Analysis of Water Quality in Code River, Indonesia

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Mochamad A. Pratama ◽  
Yan D. Immanuel ◽  
Dwinanti R. Marthanty
Keyword(s):  
Water Quality ◽  
Land Cover ◽  
Agricultural Land ◽  
Water Quality Management ◽  
Temporal Trends ◽  
Oxygen Demand ◽  
Principal Component ◽  
Water Quality Monitoring ◽  
Quality Data ◽  
Water Quality Data

The efficacy of a water quality management strategy highly depends on the analysis of water quality data, which must be intensively analyzed from both spatial and temporal perspectives. This study aims to analyze spatial and temporal trends in water quality in Code River in Indonesia and correlate these with land use and land cover changes over a particular period. Water quality data consisting of 15 parameters and Landsat image data taken from 2011 to 2017 were collected and analyzed. We found that the concentrations of total dissolved solid, nitrite, nitrate, and zinc had increasing trends from upstream to downstream over time, whereas concentrations of parameter biological oxygen demand, cuprum, and fecal coliform consistently undermined water quality standards. This study also found that the proportion of natural vegetation land cover had a positive correlation with the quality of Code River’s water, whereas agricultural land and built-up areas were the most sensitive to water pollution in the river. Moreover, the principal component analysis of water quality data suggested that organic matter, metals, and domestic wastewater were the most important factors for explaining the total variability of water quality in Code River. This study demonstrates the application of a GIS-based multivariate analysis to the interpretation of water quality monitoring data, which could aid watershed stakeholders in developing data-driven intervention strategies for improving the water quality in rivers and streams.

Advanced River Quality Monitoring in the Ruhr Basin

1999 ◽  
Vol 40 (10) ◽  
pp. 145-152 ◽  
Author(s):  
Harro Bode ◽  
Ernst A. Nusch
Keyword(s):  
Water Quality ◽  
Water Quality Management ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
The European Union ◽  
Wastewater Discharge ◽  
The Past ◽  
Monitoring Strategies ◽  
River Quality ◽  
On Line

The water quality management of Ruhr River Association is challenged by the dual use pattern, i. e. drinking water supply and wastewater discharge simultaneously into the same river. In the past 10 years accidental or illegal pollution occurred statistically every twenty days. Identification of water pollutants (and polluters) was often impossible because water samples could not be secured for analysis in time. The water quality surveillance system could be extended with financial support of the European Union by another two automated monitoring stations equipped with sophisticated on-line analysators (e. g. for ammonia, chromium, chlorophyll fluorescence) and biomonitors using water fleas and mussels as detectors. Monitoring strategies, methods, techniques and costs for buildings, equipment and operation are reported. Experience and results obtained so far let assume that the integrated water quality monitoring is able to prove its merits concerning reconnaissance of accidental water pollution and subsequent early warning of water works.

Developing an environmental water quality monitoring program for Haraz River in Northern Iran

2017 ◽  
Vol 189 (8) ◽  
Author(s):  
Mitra Tavakol ◽  
Reza Arjmandi ◽  
Mansoureh Shayeghi ◽  
Seyed Masoud Monavari ◽  
Abdolreza Karbassi
Keyword(s):  
Water Quality ◽  
Monitoring Program ◽  
Water Quality Monitoring ◽  
Environmental Water ◽  
Quality Monitoring ◽  
Northern Iran ◽  
Haraz River

Spatial and Temporal Assessment of Titiwangsa Lake Water Quality Using Chemometrics Analysis

2018 ◽  
Vol 7 (3.14) ◽  
pp. 20
Author(s):  
Hafizan Juahir ◽  
Adiana Ghazali ◽  
Azimah Ismail ◽  
Mahadzirah Mohamad ◽  
Firdaus Mohamad Hamzah ◽  
...  
Keyword(s):  
Water Quality ◽  
Lake Water ◽  
Monitoring Program ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Current Status ◽  
Small Scale ◽  
Lake Water Quality ◽  
Night Time ◽  
Time Period

Titiwangsa Lake is a renowned recreational lake in Kuala Lumpur, Malaysia. The present study was purposely to define the current status of Titiwangsa Lake water quality and propose a water quality monitoring program to conserve and sustain the health of this lake. Samples were collected in January 2017 during the day and night-time periods. Spatial classification using hierarchical agglomerative cluster analysis (HACA) has clustered the sampling stations into low, medium and high contaminated areas. Temporal classification of discriminant analysis (DA) forward stepwise mode has highlighted DO, chlorophyll-a and E-coli are the significant variables. They showed a lower range of data during the day-time period compared to night-time period. DA backward stepwise model showed  significant variables of total suspended solid (TSS) and total phosphate (TP) were higher in concentration during the day-time period as compared to night-time period. The significant of varimax factors (VFs) in the principal component analysis (PCA) might contribute by the landscaping, small-scale domestic wastewater, urban stormwater and land erosion. In a nutshell, based on HACA classification, samples can be collected at only three stations represent each cluster during the next water quality monitoring activities as this could reduce the time and cost of sampling and sample analysis. 

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