Water Quality Indices

This book covers water quality indices (WQI) in depth - it describes what purpose they serve, how they are generated, what are their strengths and weaknesses, and how to make the best use of them. It is a concise and unique guide to WQIs for chemists, chemical/environmental engineers and government officials. Whereas it is easy to express the quantity of water, it is very difficult to express its quality because a large number of variables determine the water quality. WQIs seek to resolve the difficulty by translating a set of a large number of variables to a one-digit or a two-digit numeral. They are essential in communicating the status of different water resources in terms of water quality and the impact of various factors on it to policy makers, service personnel, and the lay public. Further they are exceedingly useful in the monitoring and management of water quality. With the importance of water and water quality increasing exponentially, the importance of this topic is also set to increase enormously because only with the use of indices is it possible to assess, express, communicate, and monitor the overall quality of any water source. Provides a concise guide to WQIs: their purpose and generation Compares existing methods and WQIs and outlines strengths and weaknesses Makes recommendations on how the indices should be used and under what circumstances they apply

[1]  Mike T. Furse,et al.  RIVPACS models for predicting the expected macroinvertebrate fauna and assessing the ecological quality of rivers , 2003 .

[2]  William Ocampo-Duque,et al.  Assessing water quality in rivers with fuzzy inference systems: a case study. , 2006, Environment international.

[3]  Tasneem Abbasi,et al.  Water quality indices based on bioassessment: the biotic indices. , 2011, Journal of water and health.

[4]  José D. Bermúdez,et al.  A global stochastic index for water quality: The case of the river Turia in Spain , 2005 .

[5]  William Silvert,et al.  Fuzzy indices of environmental conditions , 2000 .

[6]  Shang-Lien Lo,et al.  Diagnosing reservoir water quality using self-organizing maps and fuzzy theory. , 2002, Water research.

[7]  Romà Tauler,et al.  Surface-water-quality indices for the analysis of data generated by automated sampling networks , 2010 .

[8]  S A Abbasi,et al.  Qualidex – A New Software for Generating Water Quality Indice , 2006, Environmental monitoring and assessment.

[9]  N B Chang,et al.  Identification of river water quality using the fuzzy synthetic evaluation approach. , 2001, Journal of environmental management.

[10]  J. Karr Assessment of Biotic Integrity Using Fish Communities , 1981 .

[11]  Hsiang-te Kung,et al.  a Complementary Tool to Water Quality Index: Fuzzy Clustering Analysis , 1992 .

[12]  Nelson Fernández,et al.  Physico-chemical water quality indices- a comparative review , 2004 .

[13]  W. Silvert Ecological impact classification with fuzzy sets , 1997 .

[14]  Wang Haiyan,et al.  Assessment and prediction of overall environmental quality of Zhuzhou City, Hunan Province, China. , 2002, Journal of environmental management.

[15]  Ashok Lumb,et al.  A Review of Genesis and Evolution of Water Quality Index (WQI) and Some Future Directions , 2011 .

[16]  D. Bhargava Water quality variations and control technology of Yamuna River , 1985 .

[17]  R.-S. Lu,et al.  Analysis of reservoir water quality using fuzzy synthetic evaluation , 1999 .