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  • 1
    Keywords: Sustainability. ; Environmental sciences Social aspects. ; Energy policy. ; Energy and state. ; Environmental Law. ; Environmental management. ; Human ecology Study and teaching. ; Sustainability. ; Environmental Social Sciences. ; Energy Policy, Economics and Management. ; Environmental Law. ; Environmental Management. ; Environmental Studies.
    Description / Table of Contents: Chapter 1. Introduction -- Chapter 2. The state and trend of China's low-carbon development -- Chapter 3. End-use energy consumption & CO2 emissions -- Chapter 4. Power sector -- Chapter 5. Primary energy consumption and CO2 emissions -- Chapter 6. Non-CO2 GHG emissions -- Chapter 7. Technical support for long-term deep decarbonization -- Chapter 8. Investment & cost analysis for realizing a low emission strategy -- Chapter 9. Long-term low-carbon transition pathways -- Chapter 10. Strategic linchpins and policy safeguards -- Chapter 11. Global climate governance & international cooperation -- Chapter 12. Conclusions and policy recommendations.
    Abstract: This open access book introduces a multi-disciplinary and comprehensive research on China's long-term low-carbon emission strategies and pathways. After comprehensively considering China’s own socioeconomic conditions, policy design, energy mix, and other macro-development trends and needs, the research team has proposed suggestions on China’s low-carbon development strategies and pathways until 2050, with required technologies and policies in order to realize the goals of building a great modern socialist country and a beautiful China. These achievements are in conjunction with the climate goals set in the Paris Agreement alongside Global Sustainable Development. The authors hope that the research findings can serve as a reference for all sectors of Chinese society in their climate research efforts, offer support for the formulation and implementation of china’s national low-carbon development strategies and policies, and help the world to better understand China’s story in the general trend of global green and low-carbon development.
    Type of Medium: Online Resource
    Pages: XXXVIII, 333 p. 94 illus., 91 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811625244
    DDC: 304.2
    Language: English
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  • 2
    Monograph available for loan
    Monograph available for loan
    Beijing : Science Press
    Call number: M 98.0450
    Type of Medium: Monograph available for loan
    Pages: vii, 159 S.
    ISBN: 7030050447
    Series Statement: Solid earth sciences research in China
    Classification:
    Regional Geology
    Language: English
    Location: Upper compact magazine
    Branch Library: GFZ Library
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  • 3
    Call number: PIK N 613-91-0160
    Type of Medium: Monograph available for loan
    Pages: 308 pp.
    ISBN: 9022008096
    Series Statement: Simulation Monographs ;
    Location: A 18 - must be ordered
    Branch Library: PIK Library
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  • 4
    Monograph available for loan
    Monograph available for loan
    Suhrkamp : Frankfurt am Main
    Call number: PIK E 703-00-0427
    Type of Medium: Monograph available for loan
    Pages: 148 p.
    Edition: 3. Auflage
    ISBN: 3518107696
    Location: A 18 - must be ordered
    Branch Library: PIK Library
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  • 5
    Call number: ZSP 16697-0009
    Pages: 105 S. : Abb. ; 30 cm
    ISSN: 0931-0800
    Series Statement: Berichte aus dem Fachbereich Geowissenschaften der Universität Bremen 80
    Branch Library: AWI Library
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  • 6
    ISSN: 1434-6052
    Source: Springer Online Journal Archives 1860-2000
    Topics: Physics
    Notes: Abstract. We employ data taken by the JADE and OPAL experiments for an integrated QCD study in hadronic e $^+$ e $^-$ annihilations at c.m.s. energies ranging from 35 GeV through 189 GeV. The study is based on jet-multiplicity related observables. The observables are obtained to high jet resolution scales with the JADE, Durham, Cambridge and cone jet finders, and compared with the predictions of various QCD and Monte Carlo models. The strong coupling strength, $\alpha_s$ , is determined at each energy by fits of ${\cal O}(\alpha_s^2)$ calculations, as well as matched ${\cal O}(\alpha_s^2)$ and NLLA predictions, to the data. Matching schemes are compared, and the dependence of the results on the choice of the renormalization scale is investigated. The combination of the results using matched predictions gives \[\alpha_s(M_{Z^0})=0.1187^{0.0034}_{0.0019}.\] The strong coupling is also obtained, at lower precision, from ${\cal O}(\alpha_s^2)$ fits of the c.m.s. energy evolution of some of the observables. A qualitative comparison is made between the data and a recent MLLA prediction for mean jet multiplicities.
    Type of Medium: Electronic Resource
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  • 7
    Publication Date: 2000-10-01
    Print ISSN: 1434-6044
    Electronic ISSN: 1434-6052
    Topics: Physics
    Published by Springer
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  • 8
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    PANGAEA
    In:  Supplement to: Lisitzina, Nadezhda A; Butuzova, Galina Yu; Volkov, Igor I; et al. (1979): Lithology and Geochemistry of Pacific Sediments (Transpacific Profile). Geological Institute of the Russian Academy of Sciences, Transactions, vol. 334. Moscow, Nauka Publ. (V.N. Kholodov, Ed.), 263 pp
    Publication Date: 2023-05-12
    Description: The book is devoted to comprehensive study of composition of sediments from the North Pacific Ocean. The sediments have been divided characterized by their lithologic and facial types, grain size composition and mineralogy. Influence of volcanism on formation of mineral and chemical composition of these sediments has been shown. Regularities of distribution of sediment accumulation rates and of a number of chemical elements on the Transpacific profile have been found. Determining role of mechanical fractionation in their localization has been shown.
    Keywords: Archive of Ocean Data; ARCOD; DM9; DM9-611; DM9-612; DM9-613; DM9-615; DM9-625; DM9-626; DM9-627; DM9-628; DM9-629; DM9-641; DM9-643; DM9-645; DM9-647; DM9-649; DM9-651; DM9-653; DM9-655; DM9-668; DM9-669; DM9-670; DM9-671; DM9-672; DM9-673; DM9-674; DM9-675; DM9-677; DM9-678; DM9-685; DM9-686; Dmitry Mendeleev; GC; Grab; GRAB; Gravity corer; MULT; Multiple investigations; Northeast Pacific; North Pacific; Northwest Pacific; OKEAN; Okean Grab; PC; Piston corer; VITYAZ; Vityaz (ex-Mars); Vityaz-29; VITYAZ3625-GC; VITYAZ3784-GC; VITYAZ4285-GR-2; VITYAZ4331-GR-2; VITYAZ4362-GR-2; VITYAZ6158-GC; VITYAZ6159-GC; VITYAZ6160-PC; VITYAZ6161-PC; VITYAZ6162-GC; VITYAZ6163-GC; VITYAZ6164-GC; VITYAZ6165-GR-2; VITYAZ6166-GC; VITYAZ6167-GC; VITYAZ6168-GC; VITYAZ6169-GC; VITYAZ6171-GC; VITYAZ6172-GC; VITYAZ6173-GC; VITYAZ6174-PC; VITYAZ6175-GC; VITYAZ6176-GC
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 9
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    In:  Supplement to: Hayes, Daniel R; et al. (in prep.): Physical oceanography of the Eastern Basin of the Mediterranean Sea from 2009 to 2016 as observed from autonomous underwater gliders: data set description. Earth System Science Data Discussions
    Publication Date: 2023-05-12
    Description: In 2008, the Oceanography Center at the University of Cyprus acquired two underwater gliders in the framework of a nationally-managed infrastructure upgrade program. The gliders were purchased from the Seaglider Fabrication Center at the University of Washington. Both gliders are rated to 1000 m and carry a typical sensor payload: non-pumped conductivity-temperature-depth sensors (CTD), a dissolved oxygen sensor, an optical triplet to measure optical backscatter at 400 nm, 700 nm, and chlorophyll-a fluorescence. Since March of 2009, the gliders have been used in a long-term observing program of the Cypriot EEZ, and by September 2015, have covered more than 15300 km over ground and 3500 dive cycles in 940 glider days. Butterfly patterns have been flown in two configurations, either on the western or eastern side of the EEZ south of Cyprus. The glider endurance lines criss-cross the region in order to more accurately locate and investigate the mesoscale structures south of Cyprus, and in particular the Cyprus eddy which is often the dominant feature. Based on the near real time observations, the glider mission was sometimes altered in order to more fully sample the Cyprus eddy, or to locate its center or extent. A summary of the raw and processed data collected, and the quality control procedures are presented, in order for future users to take advantage of this unique data set.
    Type: Dataset
    Format: application/zip, 18 datasets
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  • 10
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    In:  Oceanography Center, University of Cyprus, Nicosia
    Publication Date: 2023-01-13
    Description: The aim of CNCY201614913 mission presented here (part of the CRELEV-2016 experiment) was to focus on the transport and convection processes occurring in the area of the Eastern Mediterranean Sea. These processes are important for the nutrients injection in the surface waters, the consequent phytoplankton growth and fisheries. The main objective of the CRELEV-2016 cruise was to examine a comprehensive set of parameters in the Eastern Mediterranean Sea in order to quantify variability and trends of physical and biogeochemical properties. These data will be used to better understand the role of natural and anthropogenic pressures. The data were collected with glider SG-149, after being launched from Paphos on 23 March, 2016, and recovered by the R/V Aegaeo near Crete on 6 June 2016. Parameters measured include pressure, temperature, conductivity, dissolved oxygen, optical backscatter at 470 nm, 700 nm, and optical fluorescence at 695 nm at depths up to 1000 m.
    Keywords: Calculated from pressure; CNCY201614913; CNCY201614913_001; CNCY201614913_002; CNCY201614913_003; CNCY201614913_004; CNCY201614913_005; CNCY201614913_006; CNCY201614913_007; CNCY201614913_008; CNCY201614913_009; CNCY201614913_010; CNCY201614913_011; CNCY201614913_012; CNCY201614913_013; CNCY201614913_014; CNCY201614913_015; CNCY201614913_016; CNCY201614913_017; CNCY201614913_018; CNCY201614913_019; CNCY201614913_020; CNCY201614913_021; CNCY201614913_022; CNCY201614913_023; CNCY201614913_024; CNCY201614913_025; CNCY201614913_026; CNCY201614913_027; CNCY201614913_028; CNCY201614913_029; CNCY201614913_030; CNCY201614913_031; CNCY201614913_032; CNCY201614913_033; CNCY201614913_034; CNCY201614913_035; CNCY201614913_036; CNCY201614913_037; CNCY201614913_038; CNCY201614913_039; CNCY201614913_040; CNCY201614913_041; CNCY201614913_042; CNCY201614913_043; CNCY201614913_044; CNCY201614913_045; CNCY201614913_046; CNCY201614913_047; CNCY201614913_048; CNCY201614913_049; CNCY201614913_050; CNCY201614913_051; CNCY201614913_052; CNCY201614913_053; CNCY201614913_054; CNCY201614913_055; CNCY201614913_056; CNCY201614913_057; CNCY201614913_058; CNCY201614913_059; CNCY201614913_060; CNCY201614913_061; CNCY201614913_062; CNCY201614913_063; CNCY201614913_064; CNCY201614913_065; CNCY201614913_066; CNCY201614913_067; CNCY201614913_068; CNCY201614913_069; CNCY201614913_070; CNCY201614913_071; CNCY201614913_072; CNCY201614913_073; CNCY201614913_074; CNCY201614913_075; CNCY201614913_076; CNCY201614913_077; CNCY201614913_078; CNCY201614913_079; CNCY201614913_080; CNCY201614913_081; CNCY201614913_082; CNCY201614913_083; CNCY201614913_084; CNCY201614913_085; CNCY201614913_086; CNCY201614913_087; CNCY201614913_088; CNCY201614913_089; CNCY201614913_090; CNCY201614913_091; CNCY201614913_092; CNCY201614913_093; CNCY201614913_094; CNCY201614913_095; CNCY201614913_096; CNCY201614913_097; CNCY201614913_098; CNCY201614913_099; CNCY201614913_100; CNCY201614913_101; CNCY201614913_102; CNCY201614913_103; CNCY201614913_104; CNCY201614913_105; CNCY201614913_106; CNCY201614913_107; CNCY201614913_108; CNCY201614913_109; CNCY201614913_110; CNCY201614913_111; CNCY201614913_112; CNCY201614913_113; CNCY201614913_114; CNCY201614913_115; CNCY201614913_116; CNCY201614913_120; CNCY201614913_121; CNCY201614913_122; CNCY201614913_123; CNCY201614913_124; CNCY201614913_125; CNCY201614913_126; CNCY201614913_127; CNCY201614913_128; CNCY201614913_129; CNCY201614913_130; CNCY201614913_131; CNCY201614913_132; CNCY201614913_133; CNCY201614913_134; CNCY201614913_135; CNCY201614913_136; CNCY201614913_137; CNCY201614913_138; CNCY201614913_139; CNCY201614913_140; CNCY201614913_141; CNCY201614913_142; CNCY201614913_143; CNCY201614913_144; CNCY201614913_145; CNCY201614913_146; CNCY201614913_147; CNCY201614913_148; CNCY201614913_149; CNCY201614913_150; CNCY201614913_151; CNCY201614913_152; CNCY201614913_153; CNCY201614913_154; CNCY201614913_155; CNCY201614913_156; CNCY201614913_157; CNCY201614913_158; CNCY201614913_159; CNCY201614913_160; CNCY201614913_161; CNCY201614913_162; CNCY201614913_163; CNCY201614913_164; CNCY201614913_165; CNCY201614913_166; CNCY201614913_167; CNCY201614913_168; CNCY201614913_169; CNCY201614913_170; CNCY201614913_171; CNCY201614913_172; CNCY201614913_173; CNCY201614913_174; CNCY201614913_175; CNCY201614913_176; CNCY201614913_177; CNCY201614913_178; CNCY201614913_179; CNCY201614913_180; CNCY201614913_181; CNCY201614913_182; CNCY201614913_183; CNCY201614913_184; CNCY201614913_185; CNCY201614913_186; CNCY201614913_187; CNCY201614913_188; CNCY201614913_189; CNCY201614913_190; CNCY201614913_191; CNCY201614913_192; CNCY201614913_193; CNCY201614913_194; CNCY201614913_195; CNCY201614913_196; CNCY201614913_197; CNCY201614913_198; CNCY201614913_199; CNCY201614913_200; CNCY201614913_201; CNCY201614913_202; CNCY201614913_203; CNCY201614913_204; CNCY201614913_205; CNCY201614913_206; CNCY201614913_207; CNCY201614913_208; CNCY201614913_209; CNCY201614913_210; CNCY201614913_211; CNCY201614913_212; CNCY201614913_213; CNCY201614913_214; CNCY201614913_215; CNCY201614913_216; CNCY201614913_217; CNCY201614913_218; CNCY201614913_219; CNCY201614913_220; CNCY201614913_221; CNCY201614913_222; CNCY201614913_223; CNCY201614913_224; CNCY201614913_225; CNCY201614913_226; CNCY201614913_227; CNCY201614913_228; CNCY201614913_229; CNCY201614913_230; CNCY201614913_231; CNCY201614913_232; CNCY201614913_233; CNCY201614913_234; CNCY201614913_235; CNCY201614913_236; CNCY201614913_237; CNCY201614913_238; CNCY201614913_239; CNCY201614913_240; CNCY201614913_241; CNCY201614913_242; CNCY201614913_243; CNCY201614913_244; CNCY201614913_245; CNCY201614913_246; CNCY201614913_247; CNCY201614913_248; CNCY201614913_249; CNCY201614913_250; CNCY201614913_251; CNCY201614913_252; CNCY201614913_253; CNCY201614913_254; CNCY201614913_255; CNCY201614913_256; CNCY201614913_257; CNCY201614913_258; CNCY201614913_259; CNCY201614913_260; CNCY201614913_261; CNCY201614913_262; CNCY201614913_263; CNCY201614913_264; CNCY201614913_265; CNCY201614913_266; CNCY201614913_267; CNCY201614913_268; CNCY201614913_269; CNCY201614913_270; CNCY201614913_271; CNCY201614913_272; CNCY201614913_273; CNCY201614913_274; CNCY201614913_275; CNCY201614913_276; CNCY201614913_277; CNCY201614913_278; CNCY201614913_279; CNCY201614913_280; CNCY201614913_281; CNCY201614913_282; CNCY201614913_283; CNCY201614913_284; CNCY201614913_285; Date/Time of event; DEPTH, water; Event label; GLD; Glider; Latitude of event; Longitude of event; Mediterranean Sea, Eastern Basin; Oxygen; Pressure, water; Salinity; Seaglider, SG-149; SG149_Mission_13; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 391876 data points
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