33 results were found for 【K06.CC】一个手机号查TA的所有个人信息 cfts1.

Results:

• 1. Keranen_Jaana_CES_2010

  / opportunity identification 4. Risk / opportunity estimation (consequences, probabilities) 1. Scope definition Targets 5. Risk / opportunity evaluation Adaptation, mitigation Risk management Risk analysis Action plan Risk assessment 2. Data collection 2 .2 - … very likely2 .1 – L isääntyvä sadan ta vuositasolla 0-8 % 2. Lisääntyvä sadanta 1 .2 - … 3very likely T urbii nien kapasioteett ia vo idaan /media/ces/Keranen_Jaana_CES_2010.pdf

• 2. Helle_Katrine_Andersen_(DANVA,_Dk)

  Vision for Proactive Climate Change Adaptation in the Danish Water Sector Speaker: Helle Katrine Andersen, DANVA hka@danva.dk To inspire water utilities to develop climate change adaptation strategies and to implement CC adaptation solutions The Danish Water and Waste Water Association (DANVA) has developed a vision for Proactive Climate Change Adaptation in the Water Sector /media/loftslag/Helle_Katrine_Andersen_(DANVA,_Dk).pdf

• 3. Machguth_Horst_CES_2010

  experiments with different RCM’s • explore RCM biases • apply a different mass balance model data 2 RCM’s • HIRHAM4, Scenario A1B, 25 km, 1950-2100, Greenland • RCAO, Scenario A1B, 50 km, 1960-2100, Pan-Arctic 4 Weather Stations (Ta, Sin) • GC-Net Swiss Camp: 1150 m a.s.l. (1995 – 2006) • GC-Net Crawford: 2020 m a.s.l. (1995 – 2006) • Asiaq Station 437: 300 m a.s.l. (1983 – 2006) • DMI Illulisat /media/ces/Machguth_Horst_CES_2010.pdf

• 4. ces_geus_paakitsoq_full_report

  a stake network has been maintained in the ablation area from 1982–1992 (Ahlstrøm, 2007). Data for the years 1982–1987 were available and were used in this study to validate modeled mass balance. Table 1: Weather stations measuring air temperature (Ta) or global radia- tion (Sin) used for comparison to RCAO and HIRHAM4 name operated elev. (m a.s.l.) coord. param. data used station RCAO HIRHAM4 (UTM zone /media/ces/ces_geus_paakitsoq_full_report.pdf

• 5. Group3-The-future-of-the-Finnish-national-road-network

  The future of the Finnish national road network under changing climate Erik Schou Gudina L. Feyisa Karoliina Pilli-Sihvola NONAM summer school 26.8.2011 Copenhagen Fuzzy cognitive map -1 -0,5 0 0,5 1 1,5 1 3 5 7 9 11 13 15 17 19 21 Traffic Costs Policy CC Policy Traffic Research Tech Strat Nat.feat Costs 1 2 3 4 5 6 7 8 CC 1 0 0,2 0 0 0 0 0 0,7 Policy 2 0 0 -0,6 0,8 0 0 0 0 /media/loftslag/Group3-The-future-of-the-Finnish-national-road-network.pdf

• 6. IPPC-2007-ar4_syr

  /media/loftslag/IPPC-2007-ar4_syr.pdf

• 7. Perrels-CBA

  e rig ht fr am ew or ks ? Id en tif y & a ck no w le dg e w he re b es t t o re du ce u nc er ta in ty 26.8.2011Adriaan Perrels/IL 18 Uncertainty 3 – (partial) remedies • Retrospective and prospective approaches • (statistical) sensitivity analysis (data; parameters) • error propagation analysis (how deviations develop in a model) • benchmarking (accuracy compared to other models /media/loftslag/Perrels-CBA.pdf

• 8. CES_BioFuels_Flyer_new

  ) and changing climate (CC:CC) 1. Current climate (CU) - varying thinning regimes (0%, 15%, 30%,45%) 2. Changing climate (CC) - varying thinning regimes (0%, 15%, 30%,45%) 3. Current (CU) & changing climate (CC) - current thinning regime 4. Current (CU) & changing climate (CC) - changed thinning regimes C l i m a t e s c e n a r i o s M ea s u r e m en t s o f c l i m a t e p /media/ces/CES_BioFuels_Flyer_new.pdf

• 9. Group3-Road-scenarios

  -scale natural disaster one would expect that people would abandon their cars from one day to another. Political uncertainty – budget uncertainty Scenario combination Impact Adaptation measures North South North South A * CC: Possible increase in the amount of snow  more snow clearing  increase in operational costs S-E: increase in traffic volume  increased wear of roads /media/loftslag/Group3-Road-scenarios.pdf

• 10. norsem_begga

  The observed travel time differences already mentioned can either be obtained from absolute times of measured (picked) phase arrivals (logged in earthquake catalogs) or as relative times between phases measured with cross-correlation (CC) of waveforms. CC between closely spaced earthquakes can give highly accurate relative time differences between phases, and can correct bad picks from /media/norsem/norsem_begga.pdf