Land use in Urgenche

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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

Question

Developing the criteria for the land use in Urgenche cities?

Answer

Information on land use (m2) floor area green area building area asphalt/paved area other land area water area	Information on building stock (% of floor area) The following data needs to be expressed possibly in terms of age of building. block of flats row house detached house office industry public, shops etc.
Other data Monthly temperature (degrees C) Monthly rainfall (mm) Monthly apparent temperature (degrees C) Average indoor temperature (degrees C) Population by age (#)	Possible indoor environment quality (IEQ)indicators (%) Fraction of buildings with moisture damage Fraction of buildings with indoor smoking Fraction of buildings with indoor combustion Fraction of buildings exceeding the selected level of indoor concentration of specific chemicals, e.g. formaldehyde, solvents etc.

For developing the criteria for the land use, we decided to pick up 100 points as a random sampling from different cities in the Urgenche project. As we have seven cities in this project. We agreed to evaluate 14 check points from each city. One of the challenges was to find high resolution map. Though Google map is providing very valuable information but in some cases is not enough. The other challenges were from where to find out the actual boundary of each city. In the Google map there is slight differentiation between each city with pink boundary. However in one city (Kuopio) is not visible. For Kuopio, we had some difficultly such as the Google map was not visible enough. So we used another data base system such as Karttapaikka website. Also we do not have actual boundary of Kuopio. To overcome the city Boundary of Kuopio we agreed to define some points as far as we got the actual boundary of Kuopio.

For some city such as Kuopio (Finland), Suzhou (China), Xi’an (China) the Google map was not differentiating between the lands. Furthermore using Google map and checking each city without any particular software may be is not so precise. At the moment looking for kind of software to detect the green area, building and water will be helpful. Checking map information form different websites like infokartta might be useful as well.

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%

See also

Urgenche research project 2011 - 2014: city-level climate change mitigation

Urgenche pages Urgenche main page · Category:Urgenche · Urgenche project page (password-protected) Relevant data Building stock data in Urgenche‎ · Building regulations in Finland · Concentration-response to PM2.5 · Emission factors for burning processes · ERF of indoor dampness on respiratory health effects · ERF of several environmental pollutions · General criteria for land use · Indoor environment quality (IEQ) factors · Intake fractions of PM · Land use in Urgenche · Land use and boundary in Urgenche · Energy use of buildings Relevant methods Building model · Energy balance · Health impact assessment · Opasnet map · Help:Drawing graphs · OpasnetUtils‎ · Recommended R functions‎ · Using summary tables‎ City Kuopio Climate change policies and health in Kuopio (assessment) · Climate change policies in Kuopio (plausible city-level climate policies) · Health impacts of energy consumption in Kuopio · Building stock in Kuopio · Cost curves for energy (prioritization of options) · Energy balance in Kuopio (energy data) · Energy consumption and GHG emissions in Kuopio by sector · Energy consumption classes (categorisation) · Energy consumption of heating of buildings in Kuopio · Energy transformations (energy production and use processes) · Fuels used by Haapaniemi energy plant · Greenhouse gas emissions in Kuopio · Haapaniemi energy plant in Kuopio · Land use in Kuopio · Building data availability in Kuopio · Password-protected pages: File:Heat use in Kuopio.csv · Kuopio housing City Basel Buildings in Basel (password-protected) Energy balances Energy balance in Basel · Energy balance in Kuopio · Energy balance in Stuttgart · Energy balance in Suzhou

Related files

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Land use in Urgenche. Opasnet . [2]. Accessed 08 Dec 2025.