Abstract
The Dunhuang Basin, located in northwestern China, is famous for its oases and geological remains. However, some problems of the eco-environment have raised public concern in recent decades. Land use/land cover change (LUCC) has been considered essential reference for studying eco-environment across the world. In the present study, the land use/land cover was divided into natural water, salt marshes, Aeluropus littoralis, natural vegetation, barren land, and desertified land. The LUCC was analyzed using four temporal Landsat images (from around 1975, 1990, 2000, 2010, respectively) and RapidEye images in 2010. Firstly, vegetation degeneration is the most serious problem, and 926.74 km2 turned into bare land in the past 35 years. The total area of bare land increased mainly occurred during 1975–1990. The area of desertified land increased rapidly from 2000 to 2010. Secondly, wetlands have experienced extreme shrinking; some areas degenerated into salt marshes, subsequently vanished. Salt marsh areas have been continually decreasing and gradually degenerating into saline and alkaline lands and bare land. In relation to the driving forces of LUCC, according to collected data and interpretation results by remote sensing images, the surface water environment is destructive due to three reservoirs impede surface water supplementation to the soil and natural vegetation. In addition, excessive pumping of groundwater occurred in the study area. Based on the local soil profiles of vadose zones and dynamic change of groundwater level, the groundwater flow system is another key factor, which developed along with the spatial distribution of groundwater recharge, runoff, and discharge conditions. Furthermore, large-scale activities connected to the reclamation of commercial farmlands have also promoted the LUCC.
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References
Atkinson PM, Tatnall ARL (1997) Introduction neural networks in remote sensing. Int J Remote Sens 18:699–709
Benediktsson JA, Swain PH, Ersoy OK (1990) Neural network approaches versus statistical methods in classification of multisource remote sensing data. IEEE Trans Geosci Remote Sens 28:540–552
Couturier S, Gastellu-Etchegorry JP, Patino P, Martin E (2009) A model-based performance test for forest classifiers on remote-sensing imagery. For Ecol Manag 257(1):23–37
de Freitas MWD, dos Santos JR, Alves DS (2013) Land-use and land-cover change processes in the Upper Uruguay Basin: linking environmental and socioeconomic variables. Landsc Ecol 28:311–327
Fisher PF (2010) Remote sensing of land cover classes as type 2 fuzzy sets. Remote Sens Environ 114:309–321
Foley JA, DeFries R, Asner GP, Barford C, Bonan G, Carpenter SR, Chapin FS, Coe MT, Daily GC, Gibbs HK et al (2005) Global consequences of land use. Science 309:570–574
Foody GM (2010) Assessing the accuracy of land cover change with imperfect ground reference data. Remote Sens Environ 114:2271–2285
Gong B, Im J, Mountrakis G (2011) An artificial immune network approach to multi-sensor land use/land cover classification. Remote Sens Environ 115:600–614
Hagner O, Reese H (2007) A method for calibrated maximum likelihood classification of forest types. Remote Sens Environ 110:438–444
Hüttich C, Herold M, Wegmann M, Cord A, Strohbach B, Schmullius C, Dech S (2011) Assessing effects of temporal compositing and varying observation periods for large-area land-cover mapping in semi-arid ecosystems: implications for global monitoring. Remote Sens Environ 115:2445–2459
Jensen JR, Cowen DC (1999) Remote sensing of urban/suburban infrastructure and socio-economic attributes. Photogramm Eng Remote Sens 65:611–622
Li F, Xu Z, Feng Y, Liu M, Liu W (2013) Changes of land cover in the Yarlung Tsangpo River basin from 1985 to 2005. Environ Earth Sci 68:181–188
Lira PK, Tambosi LR, Ewers RM, Metzger JP (2012) Land-use and land-cover change in Atlantic Forest landscapes. For Ecol Manag 278:80–89
Liu JY, Deng XZ (2010) Progress of the research methodologies on the temporal and spatial process of LUCC. Chin Sci Bull 55:1–9
Lunetta RS, Elvidge CD (1998) Remote sensing change detection: environmental monitoring methods and applications, 1st edn. Ann Arbor Press, Chelsea
Ma J, He J, Qi S, Zhu G, Zhao W, Edmunds WK, Zhao Y (2013) Groundwater recharge and evolution in the Dunhuang Basin, northwestern China. Appl Geochem 28:19–31
Ni J, Shao J (2013) The drivers of land use change in the migration area, Three Gorges Project, China: advances and prospects. J Earth Sci 24:136–144
Pérez-Hoyos A, García-Haro FJ, San-Miguel-Ayanz J (2012) A methodology to generate a synergetic land-cover map by fusion of different land-cover products. Int J Appl Earth Obs Geoinf 19:72–87
Rogan J, Chen DM (2004) Remote sensing technology for mapping and monitoring land-cover and land-use change. Prog Plan 61:301–325
Sang X (2006) Visual Simulation and management of groundwater in Dunhuang Basin. Master’s thesis, Lanzhou University, Lanzhou, China (in Chinese)
Seeber C, Hartmann H, Xiang W, King L (2010) Land use change and causes in the Xiangxi catchment, Three Gorges Area derived from multispectral data. J Earth Sci 21(6):846–855
Song X, Yan CZ, Li S, Xie JL (2014) Assessment of sandy desertification trends in the Shule River Basin from 1978 to 2010. Sci Cold Arid Reg 6(1):52–58
Stavrakoudis DG, Galidaki GN, Gitas IZ, Theocharis JB (2010) Enhancing the interpretability of genetic fuzzy classifiers in land cover classification from hyperspectral satellite imagery. IEEE international conference on fuzzy systems (FUZZ), Barcelona, Spain
Stavrakoudis DG, Theocharis JB, Zalidis GC (2011) A boosted genetic fuzzy classifier for land cover classification of remote sensing imagery. ISPRS J Photogramm Remote Sens 66:529–544
Sun Z, Ma R, Wang Y (2009) Using Landsat data to determine land use changes in Datong basin, China. Environ Geol 57:1825–1837
Sun Z, Ma R, Wang Y, Hu Y, Sun L (2015) Hydrogeological and hydrogeochemical control of groundwater salinity in an arid inland basin: Dunhuang Basin, northwestern China. Hydrol Process. doi:10.1002/hyp.10760
Tang J, Lin N (1995) Some problems of ecological environmental geology in arid and semiarid areas of China. Environ Geol 26:64–67
Turner BL, Lambin EF, Reenberg A (2007) The emergence of land change science for global environmental change and sustainability. Proc Natl Acad Sci USA 104:20666–20671
Volpi M, Tuia D, Bovolo F, Kanevski M, Bruzzone L (2013) Supervised change detection in VHR images using contextual information and support vector machines. Int J Appl Earth Obs Geoinf 20:77–85
Wang X (2009) A study on desertification based on RS and GIS in Dunhuang city. Master’s thesis, Lanzhou University, Lanzhou, China (in Chinese)
Zhang M, Zhao Z, Zeng Z (2003) The characteristics of water system and the sustainable utilization of water resources in Dunhuang Basin. J Arid Land Resour Environ 17:71–77 (in Chinese)
Zhang X, Zhang L, He C, Li J, Jiang Y, Ma L (2014) Quantifying the impacts of land use/land cover change on groundwater depletion in Northwestern China—a case study of the Dunhuang oasis. Agric Water Manag 146:270–279
Zhao R, Chen Y, Shi P, Zhang L, Pan J (2013) Land use and land cover change and driving mechanism in the arid inland river basin: a case study of Tarim River, Xinjiang, China. Environ Earth Sci 68:591–604
Acknowledgments
The research was supported jointly by the Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan) (No. CUGL150417), Foundation for Innovative Research Groups of the National Natural Science (No. 41521001), and the China Scholarship Council (No. 201406415051). We wish to thank Kong Lingfeng, Zhao Duohui, Liu Bo, and Yan Zezhou for helping to conduct out the in situ training sampling investigation. We also wish to thank reviewers for the comments.
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Chen, W., Wang, Y., Li, X. et al. Land use/land cover change and driving effects of water environment system in Dunhuang Basin, northwestern China. Environ Earth Sci 75, 1027 (2016). https://doi.org/10.1007/s12665-016-5809-9
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DOI: https://doi.org/10.1007/s12665-016-5809-9