Statistical approaches used to assess and redesign surface water-quality-monitoring networks

Khalil, Bahaa; Ouarda, Taha B. M. J.

doi:10.1039/b909521g

Cited by 76 publications

(74 citation statements)

References 62 publications

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“…The validity of this model is verified by SQL Modeler Software, which will be introduced in succession (later) within a Relational Management Data Base System RMDBS under Access [15]. The implementation of PDM under access is followed by the creation of requests and forms that meet the needs of users and investors for the management of water resources.…”

Section: Rmdbsmentioning

confidence: 99%

Implementation of GIS and Geographic RDBMS Prototype for Water Resources Management. Zeuss-Koutine Basin (South of Tunisia)

Sami¹,

Safa²,

Afef³

et al. 2013

JGIS

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The scarcity of shallow water, which is a delicate matter in southern Tunisia, is relatively compensated by groundwater resources. Indeed, the South contains 25% of water reserves of the country whom 10% are superficial water. The different hydrogeological studies show that the Zeuss-Koutine region is composed of several aquifer systems, which may be subdivided into two distinct levels; a superficial and a deep one. Such water resources show signs of localized overexploitation which has a serious effect on the change of the hydrosystem characteristics in this region. Recently, Tunisia proves to be very interested in the contribution of new technology in particular Geographic Information System (GIS) to resolve the problem of water resources deficit in Tunisia essentially in semi-arid southern part, in addition to the increased exploitation of groundwater resources, not renewable basically in last years. Hence, preserving water resources in the short and long term is a must. This fact might be achieved by the geographical information system (GIS). To respond to this object, detailed hydrological and hydrogeological studies are efficient, and a Geographic Relational Data Base Management System (RDBMS) by MERISE model was created in this study for organization of all these data in a structured way (method) and was easily exploitable under it. In addition, a lithostratigraphic correlation by the GIS is very important for understanding of the aquifer geometry and hydrodynamic interactions. The correlation among multi data shows a high degradation increasing from the South to the North (both quality and quantity of the Zeuss-Koutine groundwater). That is why another study of the water quality (salinity) and exploitation is considered crucial.

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Section: Rmdbsmentioning

confidence: 99%

Implementation of GIS and Geographic RDBMS Prototype for Water Resources Management. Zeuss-Koutine Basin (South of Tunisia)

Sami¹,

Safa²,

Afef³

et al. 2013

JGIS

View full text Add to dashboard Cite

show abstract

“…Their studies treat the network design problem in a comprehensive and systematic framework, starting with objectives of monitoring and elaborating on various technical design features, e.g., selection of sampling sites, sampling frequencies, variables to be monitored, and sampling duration. Khalil and Ouarda [5] reviewed the statistical approaches utilized for the assessment and redesign of surface water quality monitoring (WQM) networks and Khalil et al [6] explained the various deficiencies in the statistical approaches proposed in the literature for the assessment and redesign of surface WQM locations. Beveridge et al [7] used geostatistical methods to quantify redundancy in an intentionally dense network of lake stations.…”

Section: Introductionmentioning

confidence: 99%

Determination of Optimal Water Quality Monitoring Points in Sewer Systems using Entropy Theory

Lee

2013

Entropy

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Abstract:To monitor water quality continuously over the entire sewer network is important for efficient management of the system. However, it is practically impossible to implement continuous water quality monitoring of all junctions of a sewer system due to budget constraints. Therefore, water quality monitoring locations must be selected as those points which are the most representative of the dataset throughout a system. However, the optimal selection of water quality monitoring locations in urban sewer networks has rarely been studied. This study proposes a method for the optimal selection of water quality monitoring points in sewer systems based on entropy theory. The proposed model searches for a quantitative assessment of data collected from monitoring points. The points that maximize the total information among the collected data at multiple locations are selected using genetic algorithm (GA) for water quality monitoring. The proposed model is demonstrated for a small urban sewer system.

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“…The importance of water and its role as essential for human health, animals and plants [1,2] essential for crop and animal production, for aquatic and terrestrial ecosystems [3] and for our daily life supporting activities [4] is well observed . Water of adequate quantity and quality is essential for sustainable development [5].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Water Quality of Local Streams at Gandhamardan Iron Mines, Suakati, Keonjhar District of Odisha, India

Harichandan¹,

Patra²,

Sethy³

2017

J Pollut Eff Cont

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The present study focused on assessing the water quality by using water quality index (WQI) of six streams located surrounding iron ore mine of Suakati area of Keonjhar District of Odisha, which includes the physicochemical analysis of fourteen parameters: pH, colour, total dissolved solids (TDS), dissolve oxygen (DO), biochemical oxygen demand (BOD), total hardness (TH), chloride (Cl -), nitrate (NO 3 -), oil & grease (O&G), sulphate (SO 4 2-), iron (Fe), manganese (Mn), fluoride (F -) and arsenic(As). The WQI of these streams ranges from 4.47 to 244 indicating bad water quality of few streams. The high value of WQI has been found to be mainly from the higher values of TDS, TH, NO 3 -, O&G, Mn, SO 4 2-, As, Fe and F -in different stream water. Correlation analysis shows a strongest value of positive Correlation coefficient (r) exist between O&G and WQI (r=0.979) at SW1, between as and WQI (r=0.985) at SW2, between O&G and WQI (r=0.99) at SW3, between O&G and WQI (r = 0.995) at SW4, between as and WQI (r=0.948) at SW5 and between TDS and WQI (r=0.753) at SW6. The analysis reveals average WQI score for water sample from locations SW1 (126.4), SW2 (222.6), SW3 (105.2) and SW6 (156.6) are in higher sides and quality is very poor. The study shows the quality of water is fit to use in irrigation but not fit for domestic purpose. It also proofs that anthropogenic activity like mining activity is putting deleterious impact on the surrounding water bodies.

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Statistical approaches used to assess and redesign surface water-quality-monitoring networks

Cited by 76 publications

References 62 publications

Implementation of GIS and Geographic RDBMS Prototype for Water Resources Management. Zeuss-Koutine Basin (South of Tunisia)

Implementation of GIS and Geographic RDBMS Prototype for Water Resources Management. Zeuss-Koutine Basin (South of Tunisia)

Determination of Optimal Water Quality Monitoring Points in Sewer Systems using Entropy Theory

Evaluation of Water Quality of Local Streams at Gandhamardan Iron Mines, Suakati, Keonjhar District of Odisha, India

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