Difference between revisions of "Land use in Urgenche"
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* Fraction of buildings exceeding the selected level of indoor concentration of specific chemicals, e.g. formaldehyde, solvents etc. | * Fraction of buildings exceeding the selected level of indoor concentration of specific chemicals, e.g. formaldehyde, solvents etc. | ||
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+ | For developing the criteria for the land use, we decided to pick up 100 random sampling from different cities in the Urgenche project. As we have seven cities in this project. We agreed to evaluate 14 samples from each city. | ||
+ | One of the challenges was to find high resolution map of the each city. Though Google map is providing very valuable information but in some cases is not enough. We used another data base system such as Karttapaikka website for Kuopio which was much better than the Google map. | ||
+ | The other challenges were to find out the actual boundary of each city. In the Google map there is slight differentiation with pink boundary. For Kuopio we did not have the actual boundary. | ||
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{| {{prettytable}} | {| {{prettytable}} | ||
| Obs | | Obs |
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Land use in Urgenche which is contains 6 different cities such as
- Suzhou, China
- Xi’an, China
- Basel, Switzerland
- Kuopio, Finland
- Rotterdam, Netherlands
- Stuttgart, Germany
- Thessaloniki, Greece
Contents
Question
Developing the criteria for the land use in Urgenche cities?
Answer
Information on land use (m2)
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Information on building stock (% of floor area)
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Other data
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Possible indoor environment quality (IEQ)indicators (%)
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For developing the criteria for the land use, we decided to pick up 100 random sampling from different cities in the Urgenche project. As we have seven cities in this project. We agreed to evaluate 14 samples from each city. One of the challenges was to find high resolution map of the each city. Though Google map is providing very valuable information but in some cases is not enough. We used another data base system such as Karttapaikka website for Kuopio which was much better than the Google map. The other challenges were to find out the actual boundary of each city. In the Google map there is slight differentiation with pink boundary. For Kuopio we did not have the actual boundary.
Obs | City | Green area | Building area | Block of flats | Row house | Office | Industry | Detached house | Asphalt/paved area | Water area | Public, shops | Other land area |
1 | Kuopio | 10% | 50% | 10% | 5% | 20% | 5% | |||||
2 | Kuopio | 50% | 20% | 2% | 20% | 8% | ||||||
3 | Kuopio | 25% | 5% | 40% | 10% | 15% | 5% | |||||
4 | Kuopio | 30% | 30% | 19% | 20% | 1% | ||||||
5 | Kuopio | 20% | 60% | 20% | ||||||||
6 | Kuopio | 50% | 30% | 10% | 10% | |||||||
7 | Kuopio | 50% | 40% | 10% | ||||||||
8 | Kuopio | 70% | 10% | 10% | 10% | |||||||
9 | Kuopio | 40% | 15% | 10% | 5% | 30% | ||||||
10 | [ Kuopio] | |||||||||||
11 | [ Kuopio] | |||||||||||
12 | [ Kuopio] | |||||||||||
13 | [ Kuopio] | |||||||||||
14 | [ Kuopio] | |||||||||||
15 | Stuttgart | 8% | 70% | 5% | 17% | |||||||
16 | Stuttgart | 10% | 70% | 15% | 5% | |||||||
17 | Stuttgart | 9% | 70% | 1% | 20% | |||||||
18 | Stuttgart | 10% | 60% | 5% | 10% | 10% | 5% | |||||
19 | Stuttgart | 50% | 5% | 5% | 40% | |||||||
20 | Stuttgart | 45% | 30% | 5% | 10% | 10% | ||||||
21 | Stuttgart | 85% | 7% | 3% | 5% | |||||||
22 | Stuttgart | 60% | 25% | 2% | 3% | 10% | ||||||
23 | Stuttgart | 20% | 60% | 10% | 5% | 5% | ||||||
24 | Stuttgart | 5% | 37% | 20% | 3% | 30% | 5% | |||||
25 | Stuttgart | 20% | 50% | 10% | 5% | 10% | 5% | |||||
26 | Stuttgart | 30% | 40% | 15% | 5% | 10% | ||||||
27 | Stuttgart | 10% | 50% | 10% | 10% | 10% | 10% | |||||
28 | Stuttgart | 35% | 40% | 10% | 10% | 5% | ||||||
29 | Basel | 5% | 45% | 3% | 42% | 5% | ||||||
30 | Basel | 80% | 15% | 5% | ||||||||
31 | Basel | 5% | 5% | 70% | 10% | 10% | ||||||
32 | Basel | 15% | 20% | 35% | 10% | 20% | ||||||
33 | Basel | 5% | 30% | 25% | 20% | 20% | ||||||
34 | Basel | 30% | 5% | 50% | 15% | |||||||
35 | Basel | 10% | 15% | 10% | 5% | 10% | 50% | |||||
36 | Basel | 30% | 15% | 40% | 15% | |||||||
37 | Basel | 30% | 40% | 20% | 10% | |||||||
38 | Basel | 30% | 40% | 10% | 10% | 10% | ||||||
39 | Basel | 40% | 5% | 45% | 10% | |||||||
40 | Basel | 5% | 60% | 15% | 20% | |||||||
41 | Basel | 30% | 50% | 10% | 10% | |||||||
42 | Basel | 10% | 20% | 40% | 30% | |||||||
43 | Basel | 30% | 10% | 20% | 40% | |||||||
44 | Rotterdam | 20% | 50% | 20% | 10% | |||||||
45 | Rotterdam | 60% | 5% | 30% | 5% | |||||||
46 | Rotterdam | 40% | 45% | 5% | 10% | |||||||
47 | Rotterdam | 40% | 40% | 5% | 10% | 5% | ||||||
48 | Rotterdam | 20% | 45% | 10% | 15% | 10% | ||||||
49 | Rotterdam | 15% | 40% | 10% | 15% | 20% | ||||||
50 | Rotterdam | 40% | 35% | 5% | 10% | 5% | 5% | |||||
51 | Rotterdam | 100% | ||||||||||
52 | Rotterdam | 15% | 50% | 20% | 10% | 5% | ||||||
53 | Rotterdam | 50% | 15% | 35% | ||||||||
54 | Rotterdam | 25% | 40% | 20% | 15% | |||||||
55 | Rotterdam | 10% | 65% | 10% | 10% | 5% | ||||||
56 | Rotterdam | 40% | 15% | 5% | 40% | |||||||
57 | Rotterdam | 10% | 35% | 20% | 30% | 5% | ||||||
58 | Thessaloniki | 10% | 65% | 5% | 10% | 10% | ||||||
59 | Thessaloniki | 10% | 10% | 50% | 20% | 10% | ||||||
60 | Thessaloniki | 5% | 20% | 10% | 65% | |||||||
61 | Thessaloniki | 5% | 5% | 10% | 10% | 5% | 65% | |||||
62 | [1] | 30% | 10% | 20% | 40% | |||||||
63 | Thessaloniki | 5% | 10% | 65% | 20% | |||||||
64 | Thessaloniki | 10% | 35% | 40% | 10% | 5% | ||||||
65 | Thessaloniki | 5% | 55% | 20% | 20% | |||||||
66 | Thessaloniki | 10% | 80% | 10% | ||||||||
67 | Thessaloniki | 5% | 20% | 50% | 20% | 5% | ||||||
68 | Thessaloniki | 35% | 20% | 20% | 15% | 10% | ||||||
69 | Thessaloniki | 5% | 15% | 60% | 20% | |||||||
70 | Thessaloniki | 10% | 10% | 60% | 20% | |||||||
71 | Thessaloniki | 15% | 15% | 50% | 20% | |||||||
72 | Xi'an | 15% | 10% | 50% | 15% | 10% | ||||||
73 | Xi'an | 5% | 10% | 75% | 10% | |||||||
74 | Xi'an | 60% | 40% | |||||||||
75 | Xi'an | 40% | 30% | 30% | ||||||||
76 | Xi'an | 90% | 10% | |||||||||
77 | Xi'an | 85% | 15% | |||||||||
78 | Xi'an | 95% | 5% | |||||||||
79 | Xi'an | 100% | ||||||||||
80 | Xi'an | 100% | ||||||||||
81 | Xi'an | 50% | 50% | |||||||||
82 | Xi'an | 95% | 5% | |||||||||
83 | Xi'an | 100% | ||||||||||
84 | Xi'an | 100% | ||||||||||
86 | Xi'an | 30% | 30% | 40% | ||||||||
87 | Suzhou | 10% | 70% | 15% | 5% | |||||||
88 | Suzhou | 50% | 25% | 10% | 5% | 10% | ||||||
89 | Suzhou | 70% | 20% | 10% | ||||||||
90 | Suzhou | 90% | 10% | |||||||||
91 | Suzhou | 40% | 60% | |||||||||
92 | Suzhou | 80% | 5% | 5% | 5% | 5% | ||||||
93 | Suzhou | 5% | 5% | 40% | 40% | 10% | ||||||
94 | Suzhou | 45% | 5% | 5% | 45% | |||||||
95 | Suzhou | 60% | 20% | 10% | 10% | |||||||
96 | Suzhou | 20% | 20% | 50% | 10% | |||||||
97 | Suzhou | 20% | 20% | 20% | 40% | |||||||
98 | Suzhou | 10% | 5% | 5% | 20% | 60% | ||||||
99 | Suzhou | 60% | 20% | 5% | 15% | |||||||
100 | Suzhou | 70% | 10% | 10% | 10% |
Rationale
Dependencies
Formula
See also
Keywords
References
Related files
<mfanonymousfilelist></mfanonymousfilelist>