Geospatial scenario based modelling of urban revolution in five major cities

in India

http://wgbis.ces.iisc.ernet.in/energy/

T.V. Ramachandra, Bharath H. A, Vinay S, Venugopal Rao K and Joshi N V

Energy & Wetlands Research Group, Center for Ecological Sciences [CES], Indian Institute of Science,
Corresponding author: Energy & Wetlands Research Group, Centre for Ecological Sciences Indian Institute of Science,
Bangalore – 560 012, INDIA, E-mail: cestvr@ces.iisc.ernet.in, energy@ces.iisc.ernet.in.

Results

Geo-visualisation of urbanisation of five tier I cities are depicted in fig.1 to fig.5 and results are provided in tables 2 to 6 respectively. The cities on an average would grow by 1.5 to over 2 times the current state in next decade. By 2025, it is predicted that built up area in these cities and surroundings, grows over 57% (Delhi), 27% (Mumbai), 45.8% (Chennai), 50% (Pune) and 37% (Coimbatore) respectively. The various drivers of growth for different cities are as in annexure 1. In all these cases, spatially it could be understood that the CDP if implemented properly would play a major role in curtailing the unsustainable growth of the city in its limits, while some growth still takes place at the outskirts. Prime factors of growth include the transportation network, industrialisation, and educational sector.

Modelling growth of Delhi

                                                                                   


Predicted 2017

Predicted 2024

 Predicted 2031

   Fig.1: Predicted landscape dynamics of Delhi

 

Year

Built up

Vegetation

Water

Others

2017

45.80

17.98

1.25

34.97

2024

57.37

8.77

1.18

32.68

2031

70.86

3.76

1.19

24.18

  All units as percentage area
Table 2: Predicted landscape dynamics of Delhi


Modelling growth of Mumbai


Predicted 2020

Predicted 2031

Fig.2: Predicted landscape dynamics of Mumbai


Year

Built up

Vegetation

Water

Others

2020

25.83

9.09

44.52

20.56

2031

31.27

6.33

44.52

17.88

  All units as percentage area
Table 3: Predicted landscape dynamics of Mumbai


Modelling growth of Chennai


Predicted 2026

Fig.3: Predicted landscape dynamics of Chennai

 


Year

Built up

Vegetation

Water

Others

2026

45.80

17.98

1.25

34.97

     All units as percentage area
Table 4: Predicted landscape dynamics of Chennai

 

Modelling growth of Pune

Predicted 2016

Predicted 2019

Predicted 2022

Predicted 2025

Fig.4: Predicted landscape dynamics of Pune


Year

Built up

Water

Vegetation

Others

2016

37.78

1.75

16.37

44.11

2019

41.64

1.75

20.16

36.45

2022

47.89

1.75

20.16

30.20

2025

50.02

1.75

20.16

28.06

     All units as percentage area
Table 5: Predicted landscape dynamics of Pune


Modelling growth of Coimbatore


Predicted 2023

Predicted 2033

Fig.5: Predicted landscape dynamics of Coimbatore

 


Year

Built up

Water

Vegetation

Others

2023

32.64

0.29

17.14

49.94

2033

42.92

0.29

17.58

39.21

All units as percentage area
Table 6: Predicted landscape dynamics of Coimbatore

 

 

Citation : T.V. Ramachandra, Bharath H. A, Vinay S., Venugopal Rao K and. Joshi N V, Geospatial scenario based modelling of urban revolution in five major cities in India, 31st Annual In-House Symposium on Space Science and Technology ISRO-IISc Space Technology Cell, Indian Institute of Science, Bangalore, 8-9 January 2015
* Corresponding Author :
  Dr. T.V. Ramachandra
Energy & Wetlands Research Group, Centre for Ecological Sciences, Indian Institute of Science, Bangalore – 560 012, INDIA.
  Tel : 91-80-23600985 / 22932506 / 22933099,
Fax : 91-80-23601428 / 23600085 / 23600683 [CES-TVR]
E-mail : cestvr@ces.iisc.ernet.in, energy@ces.iisc.ernet.in,
Web : http://wgbis.ces.iisc.ernet.in/energy
 
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