Probability weighted indices for improved ecosystem report card scoring

Fox, David R.

doi:10.1002/env.2285

Cited by 13 publications

(3 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…WQI is an indicator through which water quality is assessed quantitatively. It generates a single score by combining sub-index value of each concern pollutant (Fox, 2014). This single score enables general public as well as policymakers, and watershed managers to understand the condition of the environment without having a thorough knowledge about it.…”

Section: Water Quality Index (Wqi)mentioning

confidence: 99%

Understanding the relationship of land uses and water quality in Twenty First Century: A review

Giri

Qiu

2016

Journal of Environmental Management

280

134

View full text Add to dashboard Cite

Rising food, housing and energy demand of increasing population creates an immense pressure on water resources, especially on water quality. The water quality around the globe is degrading primarily due to intense agricultural activities associated with rapid urbanization. This study attributes to cause of water quality problem, indices to measure water quality, methods to identify proper explanatory variables to water quality and it's processing to capture the special effect, and finally modeling of water quality using identified explanatory variables to provide insights. This would help policymakers and watershed managers to take necessary steps to protect water quality for the future as well as current generation. Finally, some knowledge gaps are also discussed which need to be addressed in the future studies.

show abstract

Section: Water Quality Index (Wqi)mentioning

confidence: 99%

Understanding the relationship of land uses and water quality in Twenty First Century: A review

Giri

Qiu

2016

Journal of Environmental Management

280

134

View full text Add to dashboard Cite

show abstract

“…Water quality index (WQI) proved an easy method for the assessment of water quality in a numerical way. It converts the pollutants concentration to various sub-indexes and ultimately change these values into one numerical value, depending on their quality [42].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Water Quality and Its Potential Threats Along River Chenab Using Geo Statistical Techniques

Siddiqua¹,

Sadef²,

Ahmad³

et al. 2021

Pol. J. Environ. Stud.

View full text Add to dashboard Cite

Cities and towns are affected by the multi-dimensional industrial activities with semi-arid and arid environments which cause a substantial rise in environmental pollution specifically in aquatic areas. The current study estimated the water quality and related health impacts by the consumption of heavy metal contamination. Surface water samples (n = 52) were collected using systematic random sampling technique from semi-arid region along Chenab river of district Sialkot, Gujrat and Mandi-bahwal-din of Punjab, Pakistan. Different physio-chemical and biological parameters and various heavy metal concentration were investigated using standard procedures from the collected surface water samples. Different physio-chemical and biological parameters and heavy metals concentration especially arsenic (As) and chromium (Cr) were above the permissible value of World Health Organization (WHO) and the National Environmental Quality Standards (NEQs). Water quality index results reflected that water quality of all samples were very poor and not suitable for the purpose of drinking. The value of Hazard Quotient (HQ) for As was near the threshold level (HQ>1) and carcinogenicity of As and Cr was 1 × 10 −4 in adults and children was more than the permissible limit laid down by WHO. Anthropogenic activities combined with semi-arid weather of the area in relation with diverse and uncommon water features triggered heavy metal pollution. Inverse distance weighted analyst module of ArcGIS software has been used to generate the spatial distribution of water pollutants of constituents.

show abstract

“…They are then recorded and visually represented in a report card to communicate this information to a wide and diverse audience . Some popular statistical approaches for calculating environmental report card indices are principal component analysis, cluster analysis, analysis of variance and factor analysis . A variety of software is used to create these report cards including statistical packages, database packages, mapping and modelling software, custom built software and specialist desktop publishing software .…”

Section: Introductionmentioning

confidence: 99%

Environmental decision‐making using Bayesian networks: creating an environmental report card

Johnson

Logan

Fox

et al. 2016

Appl Stoch Models Bus & Ind

View full text Add to dashboard Cite

Environmental report cards are popular mechanisms for summarising the overall status of an environmental system of interest. This paper describes the development of such a report card in the context of a study for Gladstone Harbour in Queensland, Australia. The harbour is within the World Heritage‐protected Great Barrier Reef and is the location of major industrial development, hence the interest in developing a way of reporting its health in a statistically valid, transparent and sustainable manner. A Bayesian network (BN) approach was used because of its ability to aggregate and integrate different sources of information, provide probabilistic estimates of interest and update these estimates in a natural manner as new information becomes available. BN modelling is an iterative process, and in the context of environmental reporting, this is appealing as model development can be initiated while quantitative knowledge is still under development, and subsequently refined as more knowledge becomes available. Moreover, the BN model helps build the maturity of the quantitative information needed and helps target investment in monitoring and/or process modelling activities to inform the approach taken. The model is able to incorporate spatial and temporal information and may be structured in such a way that new indicators of relevance to the underlying environmental gradient being monitored may replace less informative indicators or be added to the model with minimal effort. The model described here focuses on the environmental component, but has the capacity to also incorporate social, cultural and economic components of the Gladstone Harbour Report Card. Copyright © 2016 John Wiley & Sons, Ltd.

show abstract

Probability weighted indices for improved ecosystem report card scoring

Cited by 13 publications

References 9 publications

Understanding the relationship of land uses and water quality in Twenty First Century: A review

Understanding the relationship of land uses and water quality in Twenty First Century: A review

Evaluation of Water Quality and Its Potential Threats Along River Chenab Using Geo Statistical Techniques

Environmental decision‐making using Bayesian networks: creating an environmental report card

Contact Info

Product

Resources

About