CONTENTSWork Done
1.

Spatial data base

1.1 China administrative boundary maps with scale
1:1 million for 1999,2000 and 2001 (vector)
1.2 China county level GDP regarding data andpopulation data for 2000(vector)
1.3 China county level population regarding data for2001 and 2002(vector)
1.4 China Land suitability Type data(1km2 grid )1.5 China air temperature data(1km21957 to 1998,yearlygrid ),for year

2. Attribute data
2.1 AIM/Water regarding dataset for some hundred
cities in China, for year 2001 and 2002, yearly
2.2 AIM/Water regarding dataset (Residential water
consumption ) for 2500 counties in China, for year
2000
2.3 Water regarding dataset at province level andriver basin level for year 2002
2.4 Environment regarding data
provincial and city level for year 2002

atnational,

2.5 China Fifth Population Census data set at county
level, some 140 items

3. Research on 1 square kilometer level Datadeveloping
Paper: Comparison on Interpolation Methods for Air
Temperature
4. Research on impacts of climate warming
Paper: Impacts of climate warming
temperature suitability in Chinaoncotton

5. Research on Water Consumption in Chinese City
Paper: The primary analysis on the difference ofWater Consumption in Chinese CityWork Plan
1.

Work dedicated by AIM team2.
Researchon
spatializationofobserveddata(accumulated air temperature, precipitation etc. )3.
Research on spatialization of socio-economic(GDP, population)
4. 1 square kilometer level data developing (5days
average high air temperature , etc.)
5. Further research on water Consumption in Chinese
CityWork Done
1.Spatial data base establishing
1.1China administrative boundary maps with scale 1:1
million for 1999,2000 and 2001 (vector)
In order to create the raster data of socio-economic activity,
statistical data with fine scale (ex. county-wise) should be
required as the base data. In requirement of NIES team,
1:1million county boundary maps for year 1999,2000 and2001 were produced based on CESIN’s county boundary
map and administrative boundary change information
during the years.

1.1
China county level GDP regarding data andpopulation data for 2000(vector)(see gdppop.rar)
In requirement of AIM NIES team, both GDP dataand population need be put in a same spatial location(polygon in the GIS). Under the guide of NIES team, we
allocate the data in each polygon of 1:1million county
boundary map. Items in the map are as follow.

1.2.2 The contents of the dataset•Total area of the polygons for the administrative region
in the map;
•Code of the administrative region;•ID of the Polygon;•Name of administrative region in Chinese;•Name of administrative region in English;•Total of Gross Domestic Product;•# Primary industry;•# Secondary industry;•# Tertiary industry;•Households•Number of population•Number of male
•Number of female•Numer of No-agricultural population•Name of the province the administrative region
belongs to in Chinese;•Name of the province the administrative region
belongs to in English;•GB-code of the province the administrative region
belongs to.

1.2.2 The method to process administration-wise and the polygonwise data
In the data source, for each data item, one administrative region has one
data. But in the map, one administrative region is composed of a few
polygons. So we need to allocate the data to those polygons of theadministrative region.
The main idea is to fill GDP and population data in one table then eachadministrative region has both GDP and population in one record. On thebase of the table, if one administrative region has only one polygon, bothdata is given the region. While an administrative region has more than one
polygon, both of its population data and GDP need to be calculated andallocated. Now the allocation was done according to the proportion ofeach polygon’s area to the total area of the region.
The method to process administration-wise and the polygon-wise data
see desc1204.doc
THE administration-wise see GDPPOP-ORI1204.XLS while the polygonwise data see GDPPOP-COUNTED1204.XLS.

1.3 China county level population regarding data for2001 and 2002(vector),(see ch011m-popu.rar andch021m-popu.rar)
Following is the contents.
•Households•Number of population•Number of male
•Number of female•Number of No-agricultural population

1.4 China Land suitability Type data(1km2 grid )The data set including eight land suitability types. They are :•Land suitable for farmer land;•Land suitable for farmer land, forest and animal husbandry;•Land suitable for farmer land and forest ;•Land suitable for farmer land and animal husbandry;•Land suitable for forest and animal husbandry;•Land suitable for forest ;•Land suitable for animal husbandry;•Land is not suitable for farmer land, forest and animal husbandry;
The data set was produced based on the vector map which isdigitized from China 1:1millon Land Resources Map. The data from1985 to 1988 was used to make the origional China 1:1millon Land
Resources Map.

1.5 China air temperature data(1km2 grid ),for year 1957 to1998,yearly
Many data sets (over 20 000 sets) were produced during the two years.
1.5.1

Data at year level•Yearly mean temperature from year 1957 to 1998,year by year;•Yearly mean lowest air temperature from year 1957 to 1998,year byyear;•Yearly mean highest air temperature from year 1957 to 1998,year byyear;
1.5.2 Data at month level•Monthly mean temperature from year 1957 to 1998,year by year;•Monthly mean lowest air temperature from year 1957 to 1998,year byyear;•Monthly mean highest air temperature from year 1957 to 1998,year byyear.

1.5.3 Data at ten days level•Ten days mean air temperature from year 1957 to
1998,year by year;•Ten days mean lowest air temperature from year 1957 to
1998,year by year;•Ten days mean highest air temperature from year 1957 to
1998,year by year.
1.5.4 Data at five days level•Five days mean air temperature from year 1957 to
1998,year by year;•Five days mean lowest air temperature from year 1957 to
1998,year by year.

2.Attribute data
2.1 AIM/Water regarding dataset for some hundred
cities in China, for year 2001 and 2002, yearly
Data regarding water supply system, water use, waste
water treatment system for some hundred cities in China
were collected and the database was established.
2.1.1 Water supply and water saving in cities, (seeBA92.XLS)
12items
2.1.2 Level of facilities for supply, utilization anddischarge water in cities,(see BA93.XLS)
34items.

2.2 AIM/WATER regarding dataset (Residential waterconsumption) for
2500 counties in China, for year
2000(see ptab8.xls)
Housing conditions of househololds(data in long table)•Without Bath Facilities in House（household）•Having Lavatories in House（household）•Without Lavatories in House（household）•Rooms Built（household）•Rooms Bought（household）•Rooms Rend（household）•Others（household）

2.2 Water regarding dataset at province level and river
basin level for year 2002
2.2.1 Precipitation and depth of naturalrunoff byprovince (Wtab2)
2.2.2

Total water resources by river basin (Wtab3)

2.2.3

Total water resources by province (Wtab4)

2.2.4( Wtab6)

Water supply and utilization by river basin

2.2.5(Wtab7)

Water supply and utilization by river basin

2.2.6

Water utilization index by river basin (Wtab9)

2.2.7
43items.

Water utilization index by province (Wtab10)

2.4 Environment regarding data at national, provincial and citylevel for year 2002
Over 300items.
2.4.1 Waste water discharge and treatment by province, (rl342002.xls)
2.4.2 Waste gases emissions and treatment by province, (seerl35-2002.xls)
2.4.3 Industrial solid waste production, treatment and reuse byprovince, (see rl36-2002.xls)
2.4.4 Industrial enterprises by province, (see rl39-2002.xls)
2.4.5 Regulating efficiency of "three" wastes from key industrial
enterprises by province, (see rl30-2002.xls)2.4.6 Industrial wastewater discharge and treatment at nationallevel, (see rl61-2001.xls)
2.4.7 Industrial waste gases emissions and treatment at nationallevel, (see rl62-2002.xls)

2.4.8 Industrial solid waste production and treatment at national
level, (see rl63-2002.xls)
2.4.9 Basic condition by industry branchenterprises at national level, (see rl69-2002.xls)

ofindustrial

2.4.10 Industrial waste water discharge and treatment in major
cities, (see rl51-2002.xls)
2.4.11 Industrial waste gases emissions and treatment in major
cities, (see rl52-2002.xls)
2.4.12 ndustrial solid waste production and treatment in majorcities, (see rl53-2002.xls)
2.4.13
Industrial enterprises in major cities, (see rl572002.xls)

2.5 China Fifth Population Census data set at county level,some 140 items
2.5.1 Total population, registered population, proportion byminority and non-agriculture, composition of population,
composition by urban and county （all the data）,(see ptab1)
2.5.2 Population by age and sex（all the data）,(see ptab2)
2.5.3 Agee composition of population, number ofhouseholds with elders, natural change and migration ofpopulation（all the data）,(see ptab3)
2.5.4 Population by education level, years of education andilliterate population （all the data）,(see ptab4)
2.5.5 Number of employed persons by occupation andunemployment(data in long table) ,(see ptab5)
2.5.6 Number of staff and workers by sector and proportionby type of industry(data in long table) ,(see ptab6)
2.5.7 Marital status of population and fertility of women(datain long table) ,(see ptab7)

3.Research on 1 square kilometer level Datadeveloping
Paper: Comparison on Interpolation Methods
for Air Temperature

4. Research on impacts of climate warming

5. Research
Chinese CityonWaterConsumptioninThe primary analysis on the difference ofWater Consumption
in Chinese City∗Wei Donglan1 Li Jianhong1 Li Zehui2 Sun Jiulin2

1 Liaoning Normal University, Dalian City,
Jilin Province, China
2 Institute of Geographical Sciences and Natural Resources
Research, CAS, Beijing100101, China∗ This paper is presented to 9th AIM Workshop in
Tsukuba,NIES,march 11-15,2004

Ever since 1980, especially since 1990 , Global climate
has been getting warmer and warmer which affecthuman' s productions and daily life inevitably. And withthe development of socio-economic as well as theimprovement of people' s living standard, water demand
increases accordingly. At present, many regions of theworld are faced with the contradictory between watersupply and water demand. So water can be a largely
factor limiting future socio-economic development.
Here and now, fast development of economic and theincreasing population stimulates water demand.
Therefore, studies on the changes of water demand incities especially on the relationship between climatechanges and water demand in cities has been attachedgrate importance not only for the governments to design
appropriate policy but also to reply to the global warming.

1.

Data Preparation

The data mainly selected are total water supply, industrial watersupply, water supplied for living, water consuming population，Percapital water consumption，sewage disposal rate, number of students
in colleges and universities, number of hospital beds, gross domestic
product of the city, total population, annual precipitation, annual
average temperature of provincial capitals in China during the period
from 1991 to 2000.In this study, Interpolation Method is used to add
the data with the regard that some of which is not intact.

2.

Analysis Method

1) draw a linear chart of total water supply, industrial water supply andwater supplied for living in each provincial capitals, to analyze thetrend of the change of each sector from1991 to 2000 .
2)select the most significant impact factors with successive regression

3．Analysis
3.1.Analysis on changes of water supply
The table bellow shows the trend of the change of
total water supply, industrial water supply, and watersupplied for living in each provincial capital in China
during the period from 1991 to 2000,in which Xcoordinate is year, Y-coordinate is change of watersupply.

From the chart of water supply situation all over the country, somestriking characteristics of water supply situation can be attracted as
bellows.
1. A common trend for the cities except Lhasa and Guangzhou is that thewater supply is increasing stably. And the growth rate of northern cities islower than that of southern cities.
2.Cities except Wuhan and Lhasa had an obvious increase in industrial
water supply which is likely because of the improvements of industrial
technology, increase of the amount of water recycled and the decrease ofwater pollution as well as the amount of water used per unit product.
1.
Water used for living in each city has an increase trend, andoutstrips industrial water use in quantity late in the 1990s,except several
industrial cities such as Guangzhou, Nanjing and Wuhan. It indicates thatwater used for living increases in accordance with the high improvementof people’s living standard in our country. And with the improvement ofcivilization, the development of socioeconomic as well as a further rise of
the city residents’s income level, water demanded for living will still
increase, which stimulates the limited water resource.

3.2 Analysis on The Impact Factors of Water Supply of the Cities
Successive regression is used to total water use of each provincial
capital and the 9 likely impact factors which are water consuming
population, Per capital water consumption ,sewage disposal rate,
number of students in colleges and universities, etc.
4. Conclusion
The conclusions below are drawn according to the analysis before.
4.1.
During the recent 10 years, total water supply of the provincial
capitals in our country will increase, among which industrial water supply
shares an decrease trend, living water supply will increase yearly evenwith the exceeding to industrial water supply in most cities.
4.2.
Annual average temperature affects total water supply
significantly in the East of China.
4.3.
With the global warming, water supply of the cities in the east of
China especially region of Beijing and Tianjing will be affected greatly, ifwhich is not solved well, daily life of the residents will encounter greatinfluence.

Work Plan
1.

Work dedicated by AIM team2.
Research on spatialization of observeddata(accumulated air temperature, precipitation etc. )3.
Research on spatialization of socio-economic(GDP, population)4.
1 square kilometer level data developing (5daysaverage high air temperature , etc.)
5.
Further research on water Consumption inChinese City