Study to Develop a Co-Relationship between Water Quality and Land use Pattern as Index of Riverine Wetland with Statistical Approach

Biswas Roy, Malabika; Kumar, Abhishek; Ghosh, Arnab; Roy, Pankaj Kumar

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Study to Develop a Co-Relationship between Water Quality and Land use Pattern as Index of Riverine Wetland with Statistical Approach

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31 mar 2020

Quaestiones Geographicae

Volumen 39 (2020): Edición 1 (Marzo 2020)

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Publicado en línea: 31 mar 2020

Páginas: 33 - 43

Recibido: 11 feb 2019

DOI: https://doi.org/10.2478/quageo-2020-0003

Palabras clave
water quality index, wetland dependency, socio-economic evaluation, vegetation index, analysis of variance

© 2020 Malabika Biswas Roy et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The chart shows the main problem of beel water from peoples view.

NDVI maps and its temporal changes in vegetation from 2009–2013.

Male and female wise educational, income, occupational status of the study area.

Year wise selling price of fish of the beel.

Charts show the relation between income and production year wise.

Category of Water Quality_

WQI (CCME Method)	Description	WQI (Weighted Arithmetic method)	Description
95–100	Excellent	0–25	Excellent
80–94	Good	26–50	Good
65–79	Fair	51–75	Bad
45–64	Marginal	76–100	Very Bad
0–44	Poor	>100	Unfit.

The variation in vegetation amount and beel area, after calculating pixel value_

Year	Wetland area	Water body amount	Vegetation amount
Year	[ha]
2009	85.4	51.3	34.1
2011	85.4	37.8	47.6
2012	85.4	40.2	45.2
2013	85.4	51.4	34.0

Determination of WQI using CCME method_

Seasons	pH	Turbidity	TDS	Nitrate	Sulphate	TH	TC	DO	BOD
Seasons	[−]	[mg dm⁻³]
Pre-monsoon	8.73	79.7	108.67	0.6	2.67	86.67	133	3.93	2.30
Monsoon	7.50	63.3	99.50	0.4	2.01	80.34	120	2.98	1.89
Post-monsoon	8.15	74.8	104.67	0.5	2.45	83.23	128	3.11	2.05
Objectives	6.5–8.5	1	500	50	200	300	<2	4	3
	F1 = (2 / 9) × 100 = 22.22				F2 = (6 / 27) × 100 = 22.22
	F3 = (nse / .01nse + 0.01) = 93.71				$WQI = 100 - \frac{\sqrt{F 1^{2} + F 2^{2} + F 3^{2}}}{1.732} = 42.93$ {\rm{WQI}} = 100 - {{\sqrt {F1^2 + F2^2 + F3^2 } } \over {1.732}} = 42.93

The year range wise income and production_

Year	Production [kg]	Income [Rs]
2010–11	9429	1052837
2011–12	25555	3513492
2012–13	29413	5971355
2013–14	15333	1247279
2014–15	23775	3871711

Determination of WQI using weighted arithmetic method_

Parameter	Observed Value (Vi)	Standard Value (Si)	Unit Weights (Wi)	Quality Rating (Qi)	Wi × Qi
pH	8.73	6.5–8.5	0.160	115	18.400
TDS	108.67	500 mg/L	0.003	21.7	0.065
TH	86.67	300 mg/L	0.004	29	0.116
DO	3.93	6 mg/L	0.220	124	27.280
BOD	2.30	2 mg/L	0.660	115	75.900

Idioma:: Inglés

Calendario de la edición:: 4 veces al año
Temas de la revista:: Geociencias, Geografía

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Study to Develop a Co-Relationship between Water Quality and Land use Pattern as Index of Riverine Wetland with Statistical Approach

Publicado en línea: 31 mar 2020

Páginas: 33 - 43

Recibido: 11 feb 2019

DOI: https://doi.org/10.2478/quageo-2020-0003

Palabras clave
water quality index, wetland dependency, socio-economic evaluation, vegetation index, analysis of variance

© 2020 Malabika Biswas Roy et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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Category of Water Quality_

The variation in vegetation amount and beel area, after calculating pixel value_

Determination of WQI using CCME method_

The year range wise income and production_

Determination of WQI using weighted arithmetic method_

Study to Develop a Co-Relationship between Water Quality and Land use Pattern as Index of Riverine Wetland with Statistical Approach

Malabika Biswas Roy

Abhishek Kumar

Arnab Ghosh

Pankaj Kumar Roy

Publicado en línea: 31 mar 2020

Páginas: 33 - 43

Recibido: 11 feb 2019

DOI: https://doi.org/10.2478/quageo-2020-0003

Palabras clavewater quality index, wetland dependency, socio-economic evaluation, vegetation index, analysis of variance

© 2020 Malabika Biswas Roy et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Fig. 7

Category of Water Quality_

The variation in vegetation amount and beel area, after calculating pixel value_

Determination of WQI using CCME method_

The year range wise income and production_

Determination of WQI using weighted arithmetic method_

Palabras clave
water quality index, wetland dependency, socio-economic evaluation, vegetation index, analysis of variance