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  • ACRS 1999


    Poster Session 6
    Dynamical Detection of Eco-environment in the Upstream of the Yellow River by Remote Sensing and GIS: A Case Study

    3. Results and Discussion
    Significant eco-environment changes have taken in the upstream of Yellow River from 1987 to 1996. Changes under major eco-environment systems over time and space are discussed separately.

    3.1 Sandy desertification
    The sandy desertified land has been increased and kept a stable developing situation in all overall statues. The results reveal that the sandy desertified lands account for 17.5 per cent of total study area, among which the very severe, severe, on-going and potential sand decertified lands are 10.9, 1.3, 10.3 and 49 per cent respectively (table 1). The sandy desertification is getting severe from 1987 to 1996 (figure 3). In nearly one decade the nearly desertification process has kept on intensifying in overall study area, although there are some reversed situation in parts of the area. The very severs sandy desertification land has quickly spread at an average rate of 21 km2 per year from 1987 to 1996.

    Table 1 Sandy desertification land and its changes from 1987 to 1996.
    Types of sandy desertification Area of sandy desertified land (km2) in 1987 Area of sandy desertified land (km2) in 1996 Changes of area (km2)
    Very severe 1058.2976 1247.4120 189.1144
    Severe 181.3191 152.2160 -29.1031
    On-going 1268.1072 1182.5772 -85.5300
    Potential 5729.0555 5634.1824 -94.8431

    The results reveal that the major factors responsible for such changes are overgrazing natural pastures and overexploitation of land resources. Other factors are frequent droughts, windily weather, sparse vegetation cove and a plentiful supply of sand. The excessive human activities play an important role in the changes of sandy desertification.

    3.1 Land use
    The structure of land use is unitary and unreasonable. The results reveal that the land use patterns mainly consist of animal husbandry and rainfed agriculture, which are mainly dependent on the primary productivity. The areas under grassland, non-irrigated land and sand occupied respectively 80%, 4.8% and 10.9% of total study area (table 2). The grasslands with high and middle percentage of cover have degenerated. The areas of them have declined by 5 per cent and 3.1 per cent respectively, while sand and non-irrigated lands have increased by 17.8 per cent and 51.8 per cent during last nine years.

    Table 2 Land use and its changes from 1987 to 1996
    Types of land use Area in 1987 (km2) Area in 1996 (km2) Area changes(km2)
    Water 207.3641 227.8636 20.4995
    Exposed rock 19.1310 19.1717 0.0407
    Sand 1058.5100 1247.4436 188.9336
    Marshland 12.6667 15.5149 2.8482
    Non-irrigated 362.1053 549.6757 187.5704
    Irrigated land 193.3551 245.8826 52.5275
    Grassland with low Percentage of cover 181.3020 152.0878 -29.2142
    Grassland with middlePercentage of cover 2673.4481 2590.1826 -83.2655
    Grassland with high Percentage of cover 6787.7367 6447.7965 -339.9402

    The results reveal that increased human population pressure has brought not only overexploitation of land resources but also overgrazing of pastures. Additionally, agriculture and animal husbandry have taken traditional extensive management. As a consequence the land productivity has decreased, which resulted the grassland degeneration and sandy decertified land expansion.

    3.2 Water erosion
    The results reveal that the water erosion is one of the most serious eco-environment in this area. Although the areas of very severe and severe water erosion are relatively less (table 3), they are mainly distributed in the area around Longyanxia reservoir and on the banks of yellow river and its branches (figure 5). The serious water erosion not only declined the land productivity, but also transformed plenty of sediments to the reservoir and downstream of the Yellow River. The water erosion affects the regional eco-environment, but also endangers the security of Longyanxia reservoir.

    Table 3 Water erosion area and its changes in 1996
    Types of water erosion Gentle Slight Moderate Severe Very severe
    Area Km2 7951.8778 1741.0950 825.0537 721.3906 27.2887

    4. Conclusions
    The excessive human activities play an important role in degradation of eco-environment in the upstream of the Yellow River. At present the acceleration of grassland degradation is attributed to the irrational human economical activities. The sandy desertification as well as water erosion has intensified extremely, which affected the regional economical sustainable development and endangered the security of Longyanxia reservoir. So it is necessary and urgent to combat desertification and protect eco-environment in the upstream of the Yellow River.

    The results show that fully using the remotely sensed data with GIS for detecting and assessing the eco-environment is one of the effective measures of quantitative research.

    Acknowledgements
    The research project is supported by the National Science Foundation of China Grants (No. 49561006). The authors are highly grateful to Pro.Feng Xuezhi, department of urban and resource, Nanjing University for this direction and encouragement.

    References
    • Chen Guodong. 1998. Some Understandings About the Eco-environmental Protection and Buildings in the Source Region of Yangtze and Yellow Rivers. Advance in Earth Sciences, 13, suppl.: pp1-15.
    • Dong Guangrong, Yan Ping, Su Zhizhu. The Urgency of Research and control of Land Desertification in the Source Area of Yangtze and Yellow Rivers. Advance in Earth Sciences,: 13, suppl.: pp32-36.
    • Dong Guangrong, Gao Shangyu, Jin Jiong et al., 1993. The study on the Desertification and Ways to combat it in Gonghe Basin, Qinghai. Beijing: Science Press, pp40-58.
    • Li Deren, On Definition theory and key techniques of the integration of GPS, RS and GIS. Journal of remote sensing. (1): pp68-72.
    • Li Deren, Gong Jianyan, Chen Xiaoling. 1998. Spatial Information Science, Technology University of Surveying and Mapping Press.
    • Manfred Ehlers et al., 1989. Integration of remote sensing with geographic information system: A necessary evolution. PE&RS. 55(11). Pp-1619-1627.
    • N.M Mattikalli, B. J. Devereux and K. S. Richards, 1995. Integration of Remotely Sensed Satellite Images with a Geographical Information System, Computers & Geosciences, Vol. 21, No. 8, pp947-956.
    • Zhang Jianting. 1998. Probe on some Questions of GIS Integration. Remote Sensing Information, (1): pp14-18.
    • Zhang Li. 1996. Theoretical and Practical View of GIS system integration. Acta Geographic Sinica, 51(4). Pp306-314.
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