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| 1 | Deep seismic reflection profile across the juncture zone between the Tarim Basin and the West Kunlun Mountains显示文摘Fine structures of the crust and upper mantle of the basin-and-range juncture on the northwestern margin of the Qinghai-Tibetan Plateau are first delineated by the deep seismic reflection profile across the juncture zone between the Tarim Basin and the West Kunlun Mountains. Evidence is found for the northward subduction of the northwest marginal lithosphere of the Qinghai-Tibetan Plateau and its collision with Tarim lithosphere beneath the West Kunlun Mountains. The lithosphere image of the face-to-face subduction and collision determines the coupling relationship between the Tarim Basin and the West Kunlun Mountains at the lithosphere scale and reflects the process of continent- continent collision. | GAO Rui HUANG Dongding LU Deyuan QIAN Guihua LI Yingkang KUANG Chaoyang Li Qiusheng LI Pengwu Feng Rujin Guan Ye | 2000 | Chinese Science Bulletin2000，45，24： | 30 |
| 2 | Spatiotemporal changes in water,land use,and ecosystem services in Central Asia considering climate changes and human activities显示文摘Central Asia is located in the hinterland of Eurasia,comprising Kazakhstan,Uzbekistan,Kyrgyzstan,Turkmenistan,and Tajikistan;over 93.00%of the total area is dryland.Temperature rise and human activities have severe impacts on the fragile ecosystems.Since the 1970s,nearly half the great lakes in Central Asia have shrunk and rivers are drying rapidly owing to climate changes and human activities.Water shortage and ecological crisis have attracted extensive international attention.In general,ecosystem services in Central Asia are declining,particularly with respect to biodiversity,water,and soil conservation.Furthermore,the annual average temperature and annual precipitation in Central Asia increased by 0.30℃/decade and 6.9 mm/decade in recent decades,respectively.Temperature rise significantly affected glacier retreat in the Tianshan Mountains and Pamir Mountains,which may intensify water shortage in the 21st century.The increase in precipitation cannot counterbalance the aggravation of water shortage caused by the temperature rise and human activities in Central Asia.The population of Central Asia is growing gradually,and its economy is increasing steadily.Moreover,the agricultural land has not been expended in the last two decades.Thus,water and ecological crises,such as the Aral Sea shrinkage in the 21st century,cannot be attributed to agriculture extension any longer.Unbalanced regional development and water interception/transfer have led to the irrational exploitation of water resources in some watersheds,inducing downstream water shortage and ecological degradation.In addition,accelerated industrialization and urbanization have intensified this process.Therefore,all Central Asian countries must urgently reach a consensus and adopt common measures for water and ecological protection. | YU Yang CHEN Xi Ireneusz MALIK Malgorzata WISTUBA CAO Yiguo HOU Dongde TA Zhijie HE Jing ZHANG Lingyun YU Ruide ZHANG Haiyan SUN Lingxiao | 2021 | Journal of Arid Land2021，13，9： | 2 |
| 3 | Antitumoractivityofbiodegradablepolymerpaclitaxelconjugatemicellesonlewislungcancermicemodels显示文摘 | ChenF DongD FuY etal | 2012 | Chemicalresearchinchineseuniversitties2012，28，4： | 1 |
| 4 | Leak detection for transport pipelines besed on autoregressive modeling 显示文摘 | WangGZ DongD FangCZ | 1993 | IEEE Transactions on Instrumentation and Measurement1993，42，1： | 1 |
| 5 | GeocenterVariationsCausedbyAtmosphere,OceanandSurfaceGround Water显示文摘 | DongD DickeyJO Chao Y etal | 1997 | GeophysicalResearchLetters1997，24，15： | 1 |
| 6 | Disappearance of integer quantum Hall effect显示文摘 | Sheng Dongding Weng Zhenyu | | 0，，： | 1 |
| 7 | The study of artificial intelligence for predicting land use changes in an arid ecosystem显示文摘During the 21 st century,artificial intelligence methods have been broadly applied in geosciences to simulate complex dynamic ecosystems,but the use of artificial intelligence(AI)methods to reproduce land-use/cover change(LUCC)in arid ecosystems remains rare.This paper presents a hybrid modeling approach to understand the complexity in LUCC.Fuzzy logic,equation-based systems,and expert systems are combined to predict LUCC as determined by water resources and other factors.The driving factors of LUCC in this study include climate change,ecological flooding,groundwater conditions,and human activities.The increase of natural flooding was found to be effective in preventing vegetation degradation.LUCCs are sensitive under different climate projections of RCP2.6,RCP4.5,and RCP8.5.Simulation results indicate that the increase of precipitation is not able to compensate for the additional evaporation losses resulting from temperature increases.The results indicate that grassland,shrub,and riparian forest regions will shrink in this study area.The change in grasslands has a strong negative correlation with the change in groundwater salinity,whereas forest change had a strong positive correlation with ecological flooding.The application of artificial intelligence to study LUCC can guide land management policies and make predictions regarding land degradation. | YU Yang CAO Yiguo HOU Dongde DISSE Markus BRIEDEN Andreas ZHANG Haiyan YU Ruide | 2022 | Journal of Geographical Sciences2022，32，4： | 0 |
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