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Chris M DEBEER Howard S WHEATER William L QUINTON Sean K CAREY Ronald E STEWART Murray D MACKAY Philip MARSH 《中国科学:地球科学(英文版)》2015,(1):46-60
Climate change is causing rapid and severe changes to many Earth systems and processes,with widespread cryospheric,ecological,and hydrological impacts globally,and especially in high northern latitudes.This is of major societal concern and there is an urgent need for improved understanding and predictive tools for environmental management.The Changing Cold Regions Network(CCRN)is a Canadian research consortium with a focus to integrate existing and new experimental data with modelling and remote sensing products to understand,diagnose,and predict changing land,water,and climate,and their interactions and feedbacks over the geographic domain of the Mackenzie and Saskatchewan River Basins in Canada.The network operates a set of 14 unique and focused Water,Ecosystem,Cryosphere and Climate(WECC)observatories within this region,which provide opportunities to observe and understand processes and their interaction,as well as develop and test numerical simulation models,and provide validation data for remote sensing products.This paper describes this network and its observational,experimental,and modelling programme.An overview of many of the recent Earth system changes observed across the study region is provided,and some local insights from WECC observatories that may partly explain regional patterns and trends are described.Several of the model products being developed are discussed,and linkages with the local to international user community are reviewed—In particular,the use of WECC data towards model and remote sensing product calibration and validation is highlighted.Some future activities and prospects for the network are also presented at the end of the paper. 相似文献
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Recently, study in past trends of climate variables gained significant consideration because of its contribution in adaptions and mitigation strategies for potential future changes in climate, primarily in the area of water resource management. Future interannual and inter-seasonal variations in maximum and minimum temperature may bring significant changes in hydrological systems and affect regional water resources. The present study has been performed to observe past(1970-2010) as well as future(2011-2100)spatial and temporal variability in temperature(maximum and minimum) over selected stations of Sutlej basin located in North-Western Himalayan region in India. The generation of future time series of temperature data at different stations is done using statistical downscaling technique. The nonparametric test methods, modified Mann-Kendall test and Cumulative Sum chart are used for detecting monotonic trend and sequential shift in time series of maximum and minimum temperature. Sen’s slope estimator test is used to detect the magnitude of change over a period of time on annual and seasonal basis. The cooling experienced in annual TMax and TMin at Kasol in past(1970-2010) would be replaced by warming in future as increasing trends are detected in TMax during 2020 s and 2050 s and in TMin during 2020 s, 2050 s and 2080 s under A1 B and A2 scenarios. Similar results of warming are also predicted at Sunnifor annual TMin in future under both scenarios which witnessed cooling during 1970-2010. The rise in TMin at Rampur is predicted to be continued in future as increasing trends are obtained under both the scenarios. Seasonal trend analysis reveals large variability in trends of TMax and TMin over these stations for the future periods. 相似文献
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针对排放口最优规划算法中存在非线性目标函数、约束条件过于复杂及“维数灾”等难点的困扰，提出了基于HopField网络的排放口最优规划算法，实例分析表明该算法具有较好的应用效果。 相似文献
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Helmut M.HABERSACK Research Assistant Institute for Water Management Hydrology Hydraulic Engineering Universitaet fuer Bodenkultur Muthgasse Vienna Austria 《国际泥沙研究》1997,(3)
1.INTRODUCTIONOVerthelastdecadesmuchprogresshasbeenmadeconcerningsedimenttransPOrtmodellingandmonitoring.Thedifferelltiationincatchmeflt-tvide,sectionalandlocalaspectsreflectsthefactthatmanysedimenttransportandpredictionmodelsaredealingwithspecialpartsofriverSystems,mainlydifferinginscale.Overthepastyears,scaleissuesinhydrologyhaverapidlyincreasedinimportance(BLoSCHL,1996).Onalargescaletheapplicationoffractals,self-similarityanalysistolandscapeorganizationandoptimalchannelnetlvorks(O… 相似文献
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港口湾水库入库洪水预报模型研究 总被引：2，自引：0，他引：2
基于港口湾、胡乐司流域产、汇流分析，提出了分流域、分单元入库洪水预报模型的整体构架，产流计算应用了蓄满产流模型，汇流计算提出了拟线性河网汇流指数模型：Csj=Sso αe^-βA j，实现了汇流系数因入流强度自动调整的目标。 相似文献
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滇中地区缺水成因分析及对策研究 总被引：1，自引：0，他引：1
近年来，滇中地区总需水量日益增加，而供水水源始终不能满足需求，水资源供需矛盾日渐突出，严重制约了该地区经济社会的可持续发展。从多角度分析了滇中地区的水资源紧缺及其缺水成因，根据该地区实际情况，研究了缺水问题的一些对策。 相似文献