Optimal groundwater quality management under parameter uncertainty

To date improvement models for groundwater quality management offer no assurance that water quality standards are going to be met. this can be partly as a result of they ignore errors in hydraulic heads, flows, and matter concentrations because of flow and transport model parameter uncertainty. Here we have a tendency to expressly incorporate parameter estimation associate degreed estimate uncertainties into a model for the optimum style of an formation redress theme. Parameter uncertainty is incorporated into the decision‐making method. the target is to spot the most effective redress methods (well web site choice and pumping‐recharge rates) in order that water quality standards ar met at a such that responsibility level. The procedure couples 3 methods: (1) a finite part flow and transport simulation model combined with nonlinear method of least squares multivariate analysis for synchronous  flow and transport parameter estimation; (2) first‐order first‐ and second‐moment analysis to transfer the data concerning the consequences of parameter uncertainty to the management model; and (3) nonlinear chance‐constrained random improvement combined with flow and transport simulation for optimum higher cognitive process. [1]

 Assessing groundwater quality using GIS

Assessing the standard of groundwater is vital to confirm property safe use of those resources. However, describing the general water quality condition is troublesome thanks to the spacial variability of multiple contaminants and also the big selection of indicators (chemical, physical and biological) that would be measured. This contribution proposes a GIS-based groundwater quality index (GQI) that synthesizes completely different offered water quality knowledge (e.g., Cl−, Na+, Ca2+) by compartmentalization them numerically relative to the globe Health Organization (WHO) standards. Also, introduces associate degree objective procedure to pick the optimum parameters to cipher the GQI, incorporates the facet of temporal variation to handle the degree of water use property and tests the sensitivity of the projected model. The GQI indicated that the groundwater quality within the Nasuno basin, Tochigi Prefecture, Japan, is usually high. [2]

Analysis of groundwater quality using fuzzy synthetic evaluation

This paper reports the applying of fuzzy pure mathematics for decision-making within the assessment of physico-chemical quality of groundwater for drinking functions. Methodology supported fuzzy pure mathematics wont to specific the standard of water within the general surroundings of monitored knowledge and prescribed limits given in an exceedingly non-probabilistic sense. Fuzzy artificial analysis model provides the knowledge levels for the acceptableness of the water supported the prescribed limit of assorted restrictive bodies quality category and perception of the specialists from the sphere of water quality. Application of fuzzy rule primarily based optimisation model is illustrated with forty two groundwater samples collected from the fifteen villages of Ateli block of southern Haryana, India. These samples were analysed for sixteen totally different physico-chemical water quality parameters. 10 parameters were used for the standard assessment mistreatment this approach. [3]

Groundwater quality and depletion in the Indo-Gangetic Basin mapped from in situ observations

Groundwater abstraction from the transboundary Indo-Gangetic Basin includes twenty fifth of worldwide groundwater withdrawals, sustaining agricultural productivity in Pakistan, India, Kingdom of Nepal and Asian nation. Recent interpretations of satellite gravity knowledge indicate that current abstraction is unsustainable1,2,3, however these large-scale interpretations lack the spatio-temporal resolution needed to manipulate groundwater effectively4,5. Here we tend to report new proof from high-resolution in place records of groundwater levels, abstraction and groundwater quality, that reveal that property groundwater provides are forced a lot of by in depth contamination than depletion. [4]

Groundwater Quality Aspect Owing to Urbanization in Langat Basin (Kajang, Semenyih) Malaysia

Aims: Unrefined industrial sewerage and unplanned water use changes groundwater quality and pollutes setting that is liable to Langat basin of Malaysia. This analysis has aimed to search out the pollution trend because of urbanization by analyzing the hydrogeological condition and water quality standing of Langat basin giving stress on Kajang and Semenyih city.

Study Design: geologic, hydrochemical and applied mathematics analysis.

Place and length of Study: Borehole log, pumping take a look at and groundwater chemistry knowledge were collected from Mineral and Geosciences Department, Selangor for 2 cities Kajang and Semenyih. Study area unitas are in Kenny Hill formation and also the wells pumping water from four varieties of rock formation. 10 years knowledge variation on population and water quality were used. [5]

Reference

[1] Wagner, B.J. and Gorelick, S.M., 1987. Optimal groundwater quality management under parameter uncertainty. Water Resources Research, 23(7), (Web Link)

[2] Babiker, I.S., Mohamed, M.A. and Hiyama, T., 2007. Assessing groundwater quality using GIS. Water Resources Management, 21(4), (Web Link)

[3] Dahiya, S., Singh, B., Gaur, S., Garg, V.K. and Kushwaha, H.S., 2007. Analysis of groundwater quality using fuzzy synthetic evaluation. Journal of Hazardous Materials, 147(3), (Web Link)

[4] Groundwater quality and depletion in the Indo-Gangetic Basin mapped from in situ observations
A. M. MacDonald, H. C. Bonsor, K. M. Ahmed, W. G. Burgess, M. Basharat, R. C. Calow, A. Dixit, S. S. D. Foster, K. Gopal, D. J. Lapworth, R. M. Lark, M. Moench, A. Mukherjee, M. S. Rao, M. Shamsudduha, L. Smith, R. G. Taylor, J. Tucker, F. van Steenbergen & S. K. Yadav
Nature Geoscience volume9, (Web Link)

[5] Jesmin Haque, S. and Roslan, N. (2017) “Groundwater Quality Aspect Owing to Urbanization in Langat Basin (Kajang, Semenyih) Malaysia”, Asian Journal of Environment & Ecology, 4(2), (Web Link)