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Identification of Alternative Landfill Site Using QGIS in a Densely Populated Metropolitan Area

Savita Kumari Sheoran

Savita Kumari Sheoran

Department of Computer Science and Engineering, Indira Gandhi University MeerpurRewari, India
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Sheoran, Savita Kumari
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Vinti Parmar

Vinti Parmar

Department of Computer Science and Engineering, Indira Gandhi University MeerpurRewari, India
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06 ago 2020
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Pubblicato online: 06 ago 2020
Pagine: 47 - 56
Ricevuto: 14 apr 2020
DOI: https://doi.org/10.2478/quageo-2020-0022
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© 2020 Savita Kumari Sheoran et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 3.0 Public License.

Fig. 1

Location map of the study area.A – Gurugram district, B – Haryana, C – India, 1 – road network, 2 – railway line, 3 – national highway (NH-8).
Location map of the study area.A – Gurugram district, B – Haryana, C – India, 1 – road network, 2 – railway line, 3 – national highway (NH-8).

Fig. 2

Flowchart of methodology.
Flowchart of methodology.

Fig. 3

Residential area analysis for Gurugram district.1 – high population density, 2 – medium population density, 3 – low population density, 4 – 500 m buffer around the residential zone, 5 – Gurugram district boundary.
Residential area analysis for Gurugram district.1 – high population density, 2 – medium population density, 3 – low population density, 4 – 500 m buffer around the residential zone, 5 – Gurugram district boundary.

Fig. 4

Analysis of depth of underground water table analysis in Gurugram district (>20 m).1 – 20–30 m, 2 – 30–40 m, 3 – 40–50 m, 4 – Gurugram district boundary.
Analysis of depth of underground water table analysis in Gurugram district (>20 m).1 – 20–30 m, 2 – 30–40 m, 3 – 40–50 m, 4 – Gurugram district boundary.

Fig. 5

Water Bodies Analysis for Gurugram district.1 – dried ponds, 2 – sewage contaminated ponds, 3 – dirty pond, 4 – Gurugram district boundary.
Water Bodies Analysis for Gurugram district.1 – dried ponds, 2 – sewage contaminated ponds, 3 – dirty pond, 4 – Gurugram district boundary.

Fig. 6

Road Network Analysis for Gurugram district.1 – road network, 2 – railway line, 3 – 200 m buffer around national highway (NH-8), 4 – Gurugram district boundary.
Road Network Analysis for Gurugram district.1 – road network, 2 – railway line, 3 – 200 m buffer around national highway (NH-8), 4 – Gurugram district boundary.

Fig. 7

Map for suggested landfill sites.1 – unsuitable zones, 2 – suitable zones, 3 – landfill sites, 4 – moderately suitable zones.
Map for suggested landfill sites.1 – unsuitable zones, 2 – suitable zones, 3 – landfill sites, 4 – moderately suitable zones.

Random Index for different ‘m’ values_

‘m’ value 1 2 3 4 5 6 7 8 9 10
Random Index (R.I.) 0.00 0.00 0.58 0.90 1.12 1.24 1.32 1.41 1.45 1.49

Calculated value of criterion weight, CI, RI, CR_

Sr. no. Parameters for landfill site selection Criteria weight λmax Consistency index [CI] Random index [RI] Consistency ratio [CR]
1. Depth to groundwater 0.6038 4.1007 0.03358 0.90 0.037311
2. Proximity to residential area 0.1365
3. Proximity to NH-8 0.1958
4. Presence of ponds 0.0646

Pairwise comparison and relative weights of different parameters_

Sr. no. Parameters for landfill site selection Depth to groundwater Proximity to residential area Proximity to NH-8 Presence of ponds Criteria weights
1. Depth to Groundwater 1.00 5.00 4.00 7 0.6038
2. Proximity to Residential Area 0.20 1.00 0.50 3 0.1365
3. Proximity to National Highways (NH-8) 0.25 2.00 1.00 3 0.1958
4. Presence of Ponds 0.14 0.33 0.33 1 0.0646

Preference value scale_

Strength of importance Description
1 Equal value
2 Equal to moderate value
3 Moderate value
4 Moderate to strong value
5 Strong value
6 Strong to very strong value
7 Very strong value
8 Very to extremely strong value
9 Extreme value
Lingua:
Inglese
Frequenza di pubblicazione:
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Geoscienze, Geografia
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