|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Climate change, water resources and sustainable development in the arid and semi-arid lands of Central Asia in the past 30 years显示文摘The countries of Central Asia are collectively known as the five '-stans': Uzbekistan, Kyrgyzstan, Turkmenistan, Tajikistan and Kazakhstan. In recent times, the Central Asian region has been affected by the shrinkage of the Aral Sea, widespread desertification, soil salinization, biodiversity loss, frequent sand storms, and many other ecological disasters. This paper is a review article based upon the collection, identification and collation of previous studies of environmental changes and regional developments in Central Asia in the past 30 years. Most recent studies have reached a consensus that the temperature rise in Central Asia is occurring faster than the global average. This warming trend will not only result in a higher evaporation in the basin oases, but also to a significant retreat of glaciers in the mountainous areas. Water is the key to sustainable development in the arid and semi-arid regions in Central Asia. The uneven distribution, over consumption, and pollution of water resources in Central Asia have caused severe water supply problems, which have been affecting regional harmony and development for the past 30 years. The widespread and significant land use changes in the 1990 s could be used to improve our understanding of natural variability and human interaction in the region. There has been a positive trend of trans-border cooperation among the Central Asian countries in recent years. International attention has grown and research projects have been initiated to provide water and ecosystem protection in Central Asia. However, the agreements that have been reached might not be able to deliver practical action in time to prevent severe ecological disasters. Water management should be based on hydrographic borders and ministries should be able to make timely decisions without political intervention. Fully integrated management of water resources, land use and industrial development is essential in Central Asia. The ecological crisis should provide sufficient motivation to reach a consensus on unified water management throughout the region. | YU Yang PI Yuanyue YU Xiang TA Zhijie SUN Lingxiao Markus DISSE ZENG Fanjiang LI Yaoming CHEN Xi YU Ruide | 2019 | Journal of Arid Land2019，11，1： | 20 |
| 2 | 中亚气候变化:中德合作研究成果显示文摘Central Asia(CA)occupies the hinterland of the Eurasian continent,containing the countries of Uzbekistan,Kyrgyzstan,Turkmenistan,Tajikistan,and Kazakhstan[1,2].Being isolated by the Pamir Mountains in Tajikistan,the Tibetan Plateau and the Tian Shan Mountains on the border between China and Kyrgyzstan. | 于洋 陈曦 Markus Disse Bernd Cyffka 雷加强 张海燕 Andreas Brieden Martin Welp 吉力力·阿不都外力 李耀明 曾凡江 桂东伟 Niels Thevs 他志杰 高鑫 皮原月 于翔 孙凌霄 于瑞德 | 2020 | Science Bulletin2020，65，9： | 7 |
| 3 | Saturated Hydraulic Conductivity from Field Measurements Compared to Pedotransfer Functions in a Heterogeneous Arable Landscape显示文摘A high degree of uncertainty with regard to soil parameterisation limits the significance of physically-based simulation of distributed flood control measures, which affect the runoff generation process, such as land-use changes or differing soil tillage practices. In this study, the soil measurement data from the hillslope scale at the Scheyern research farm were compared to demonstrate this uncertainty. To account for the spatial variability of soils in the investigation area of Scheyern, different approaches were applied to estimate soil hydraulic properties and saturated hydraulic conductivity, and were compared to field measurements. | Florian Winter Markus Disse | 2010 | Journal of Earth Science2010，21，6： | 1 |
| 4 | Model based decision support system for land use changes and socio-economic assessments显示文摘Hydrological models are often linked with other models in cognate sciences to understand the interactions among climate, earth, water, ecosystem, and human society. This paper presents the development and implementation of a decision support system(DSS) that links the outputs of hydrological models with real-time decision making on social-economic assessments and land use management. Discharge and glacier geometry changes were simulated with hydrological model, water availability in semiarid environments. Irrigation and ecological water were simulated by a new commercial software MIKE HYDRO. Groundwater was simulated by MODFLOW. All the outputs of theses hydrological models were taken as inputs into the DSS in three types of links: regression equations, stationary data inputs, or dynamic data inputs as the models running parallel in the simulation periods. The DSS integrates the hydrological data, geographic data, social and economic statistical data, and establishes the relationships with equations, conditional statements and fuzzy logics. The programming is realized in C++. The DSS has four remarkable features:(1) editable land use maps to assist decision-making;(2) conjunctive use of surface and groundwater resources;(3) interactions among water, earth, ecosystem, and humans; and(4) links with hydrological models. The overall goal of the DSS is to combine the outputs of scientific models, knowledge of experts, and perspectives of stakeholders, into a computer-based system, which allows sustainability impact assessment within regional planning; and to understand ecosystem services and integrate them into land and water management. | YU Yang CHEN Xi Philipp HUTTNER Marie HINNENTHAL Andreas BRIEDEN SUN Lingxiao Markus DISSE | 2018 | Journal of Arid Land2018，10，2： | 1 |
| 5 | APPLICATION OF TWO-DIMENSIONAL NUMERICAL MODELS TO EVALUATE CONTAMINATION OF ECOSYSTEMS BY SUSPENDED LOAD显示文摘This article presents the results of a simulation concerning free surface flow and transport of suspended matter along a 16.7 km section of the Rhine. For this purpose the dumping of harbour sediments was measured and the distribution of these sediments was calculated by means of two 2-dimensional numerical models with the goal to estimate possible ecological loads. The results of these simulations showed, that both models simulated the current very well. Quantitative statements concerning the sedimentation and re-suspension of the dumped material are very difficult, because these models show a very sensitive reaction to some empirical parameters. | Markus DISSE Dr-Ing., Bundesanstalt fuer Gewaesserkunde (Bro), Postfach 309, D-56003 Koblenz, Germany Holger WEILBEER Dipl.-Ing., Universitaet Hannover, Institut fuer Stroemungsmechanik, D-30167 Hannover, Germany | 1997 | International Journal of Sediment Research1997，12，3： | 0 |
| 6 | 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 |
您所在的机构暂未开通此部分的功能，请联系管理员