text:
-9}},
ISSN = {{0930-7575}},
EISSN = {{1432-0894}},
Keywords = {{Modes of interannual variability; Atmospheric circulation; Northern
   hemisphere; CMIP5 models; Climate change}},
Keywords-Plus = {{SEASONAL-MEAN FIELDS; INTRASEASONAL VARIABILITY; TELECONNECTION
   PATTERNS; STORM TRACKS; ATLANTIC; OSCILLATION; SIMULATIONS; PREDICTION;
   ENSEMBLE}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{C.Frederiksen@bom.gov.au
   yingkr@tea.ac.cn}},
Funding-Acknowledgement = {{National Key Research and Development Progarm {[}2016YFA0600402];
   National Natural Science Foundation of ChinaNational Natural Science
   Foundation of China {[}41405090]}},
Funding-Text = {{CMIP5 data is available from http://pcmdi9.llnl.gov. The WMGHG time
   series are available from http://data.giss.nasa.gov/modelforce. We
   acknowledge the World Research Programme's Working Group on Coupled
   Modelling, which is responsible for CMIP, and we thank the climate
   modelling groups for producing and making available their model output.
   For CMIP, the U.S. Department of Energy's Program for Climate Model
   Diagnosis and Intercomparison provides coordinating support and led
   development of software infrastructure in partnership with the Global
   Organization for Earth System Science Portals. We acknowledge the
   resources and support of the National Computational Infrastructure at
   the Australian National University for maintaining the CMIP5 data at the
   Australian Earth Systems Grid node. J. Sisson provided invaluable
   assistance in pre-processing the CMIP5 data. KY was supported by the
   National Key Research and Development Progarm (2016YFA0600402) and
   National Natural Science Foundation of China (41405090). KY would also
   like to thank the School of Earth, Atmosphere and Environment, Monash
   University for allowing her to visit and conduct this research with CSF.}},
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Number-of-Cited-References = {{44}},
Times-Cited = {{2}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{11}},
Journal-ISO = {{Clim. Dyn.}},
Doc-Delivery-Number = {{GA8OS}},
Unique-ID = {{ISI:000428600200031}},
DA = {{2020-08-06}},
}

@article{ ISI:000428600200038,
Author = {Ummenhofer, Caroline C. and Kulueke, Marco and Tierney, Jessica E.},
Title = {{Extremes in East African hydroclimate and links to Indo-Pacific
   variability on interannual to decadal timescales}},
Journal = {{CLIMATE DYNAMICS}},
Year = {{2018}},
Volume = {{50}},
Number = {{7-8}},
Pages = {{2971-2991}},
Month = {{APR}},
Abstract = {{East African hydroclimate exhibits considerable variability across a
   range of timescales, with implications for its population that depends
   on the region's two rainy seasons. Recent work demonstrated that current
   state-of-the-art climate models consistently underestimate the long
   rains in boreal spring over the Horn of Africa while overestimating the
   short rains in autumn. This inability to represent the seasonal cycle
   makes it problematic for climate models to project changes in East
   African precipitation. Here we consider whether this bias also has
   implications for understanding interannual and decadal variability in
   the East African long and short rains. Using a consistent framework with
   an unforced multi-century global coupled climate model simulation, the
   role of Indo-Pacific variability for East African rainfall is compared
   across timescales and related to observations. The dominant driver of
   East African rainfall anomalies critically depends on the timescale
   under consideration: Interannual variations in East African hydroclimate
   coincide with significant sea surface temperature (SST) anomalies across
   the Indo-Pacific, including those associated with the El Nio-Southern
   Oscillation (ENSO) in the eastern Pacific, and are linked to changes in
   the Walker circulation, regional winds and vertical velocities over East
   Africa. Prolonged drought/pluvial periods in contrast exhibit anomalous
   SST predominantly in the Indian Ocean and Indo-Pacific warm pool (IPWP)
   region, while eastern Pacific anomalies are insignificant. We assessed
   dominant frequencies in Indo-Pacific SST and found the eastern
   equatorial Pacific dominated by higher-frequency variability in the ENSO
   band, while the tropical Indian Ocean and IPWP exhibit lower-frequency
   variability beyond 10 years. This is consistent with the different
   contribution to regional precipitation anomalies for the eastern Pacific
   versus Indian Ocean and IPWP on interannual and decadal timescales,
   respectively. In the model, the dominant low-frequency signal seen in
   the observations in the Indo-Pacific is not well-represented as it
   instead exhibits overly strong variability on subdecadal timescales. The
   overly strong ENSO-teleconnection likely contributes to the
   overestimated role of the short rains in the seasonal cycle in the model
   compared to observations.}},
Publisher = {{SPRINGER}},
Address = {{233 SPRING ST, NEW YORK, NY 10013 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Ummenhofer, CC (Corresponding Author), Woods Hole Oceanog Inst, Dept Phys Oceanog, Woods Hole, MA 02543 USA.
   Ummenhofer, Caroline C., Woods Hole Oceanog Inst, Dept Phys Oceanog, Woods Hole, MA 02543 USA.
   Kulueke, Marco, Univ Hamburg, Dept Earth Sci, Hamburg, Germany.
   Tierney, Jessica E., Univ Arizona, Dept Geosci, Tucson, AZ 85721 USA.}},
DOI = {{10.1007/s00382-017-3786-7}},
ISSN = {{0930-7575}},
EISSN = {{1432-0894}},
Keywords-Plus = {{SEA-SURFACE TEMPERATURE; GENERAL-CIRCULATION MODEL; INDIAN-OCEAN DIPOLE;
   SHORT RAINS; GREATER HORN; LONG RAINS; RAINFALL VARIABILITY; MOMENTUM
   TRANSPORT; REANALYSIS PROJECT; WARMING HIATUS}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{cummenhofer@whoi.edu}},
ORCID-Numbers = {{Tierney, Jessica/0000-0002-9080-9289}},
Funding-Acknowledgement = {{U.S. DOE, Office of Science Innovative and Novel Computational Impact on
   Theory and Experiment program; U.S. National Science FoundationNational
   Science Foundation (NSF) {[}OCE-1203892]; U.S. DOE, Office of Biological
   and Environmental ResearchUnited States Department of Energy (DOE); U.S.
   DOE, NOAA Climate Program Office}},
Funding-Text = {{Use of the following data sets is gratefully acknowledged: Global
   Precipitation Climatology Center data set by the German Weather Service
   (DWD) through http://gpcc.dwd.de, NCEP/NCAR reanalysis data provided by
   NOAA/OAR/ESRL PSD, Boulder, Colorado, USA, through
   http://www.cdc.noaa.gov; Hadley Centre HadISST by the UK Met Office, and
   the Twentieth Century Reanalysis Project supported by the U.S. DOE,
   Office of Science Innovative and Novel Computational Impact on Theory
   and Experiment program, Office of Biological and Environmental Research,
   and NOAA Climate Program Office. We also gratefully acknowledge use of
   CESM output and thank NCAR for producing and making available their
   model output. Comments by two anonymous reviewers are gratefully
   acknowledged as they helped improve an earlier version of the
   manuscript. The project was supported by the U.S. National Science
   Foundation under OCE-1203892, C.C.U. also through the Penzance and John
   P. Chase Memorial Endowed Funds, and the Investment in Science Fund at
   WHOI, and M.K. through the Research Internships in Science and
   Engineering (RISE) program by the German Foreign Exchange Service.}},
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Number-of-Cited-References = {{82}},
Times-Cited = {{7}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{18}},
Journal-ISO = {{Clim. Dyn.}},
Doc-Delivery-Number = {{GA8OS}},
Unique-ID = {{ISI:000428600200038}},
DA = {{2020-08-06}},
}

@article{ ISI:000428600200044,
Author = {Ying, Kairan and Frederiksen, Carsten S. and Zhao, Tianbao and Zheng,
   Xiaogu and Xiong, Zhe and Yi, Xue and Li, Chunxiang},
Title = {{Predictable and unpredictable modes of seasonal mean precipitation over
   Northeast China}},
Journal = {{CLIMATE DYNAMICS}},
Year = {{2018}},
Volume = {{50}},
Number = {{7-8}},
Pages = {{3081-3095}},
Month = {{APR}},
Abstract = {{This study investigates the patterns of interannual variability that
   arise from the potentially predictable (slow) and unpredictable
   (intraseasonal) components of seasonal mean precipitation over Northeast
   (NE) China, using observations from a network of 162 meteorological
   stations for the period 1961-2014. A variance decomposition method is
   applied to identify the sources of predictability, as well as the
   sources of prediction uncertainty, for January-February-March (JFM),
   April-May-June (AMJ), July-August-September (JAS) and
   October-November-December (OND). The averaged potential predictability
   (ratio of slow to total variance) of NE China precipitation has the
   highest value of 0.32 during JAS and lowest value of 0.1 in AMJ.
   Possible sources of seasonal prediction for the leading predictable
   precipitation EOF modes come from the SST anomalies in the Japan Sea, as
   well as the North Atlantic during JFM, the Indian Ocean SST in AMJ, and
   the eastern tropical Pacific SST in JAS and OND. The prolonged linear
   trend, which is seen in the principal component time series of the
   leading predictable mode in JFM and OND, may also serve as a source of
   predictability. The Polar-Eurasia and Northern Annular Mode atmospheric
   teleconnection patterns are closely connected with the leading and the
   second predictable mode of JAS, respectively. The Hadley cell
   circulation is closely related to the leading predictable mode of OND.
   The leading/second unpredictable precipitation modes for all these four
   seasons show a similar monopole/dipole structure, and can be largely
   attributed to the intraseasonal variabilities of the atmosphere.}},
Publisher = {{SPRINGER}},
Address = {{233 SPRING ST, NEW YORK, NY 10013 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Xiong, Z (Corresponding Author), Chinese Acad Sci, Inst Atmospher Phys, CAS Key Lab Reg Climate Environm Temperate East A, Beijing, Peoples R China.
   Frederiksen, CS (Corresponding Author), Bur Meteorol, Melbourne, Vic, Australia.
   Frederiksen, CS (Corresponding Author), Monash Univ, Sch Earth Atmosphere \& Environm, Clayton, Vic, Australia.
   Ying, Kairan; Zhao, Tianbao; Zheng, Xiaogu; Xiong, Zhe; Li, Chunxiang, Chinese Acad Sci, Inst Atmospher Phys, CAS Key Lab Reg Climate Environm Temperate East A, Beijing, Peoples R China.
   Frederiksen, Carsten S., Bur Meteorol, Melbourne, Vic, Australia.
   Frederiksen, Carsten S., Monash Univ, Sch Earth Atmosphere \& Environm, Clayton, Vic, Australia.
   Yi, Xue, Reg Climate Ctr Shenyang, Shenyang, Liaoning, Peoples R China.}},
DOI = {{10.1007/s00382-017-3795-6}},
ISSN = {{0930-7575}},
EISSN = {{1432-0894}},
Keywords = {{Predictable signal; Unpredictable noise; Atlantic SST; Indian Ocean SST;
   ENSO; Atmospheric teleconnection}},
Keywords-Plus = {{ASIAN SUMMER MONSOON; HEMISPHERE ATMOSPHERIC CIRCULATION; SURFACE
   AIR-TEMPERATURE; HUAIHE RIVER VALLEY; SEA-LEVEL PRESSURE; INTERANNUAL
   VARIABILITY; INTERDECADAL VARIATIONS; ANTARCTIC OSCILLATION; TROPICAL
   PACIFIC; WESTERN PACIFIC}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{C.Frederiksen@bom.gov.au
   xzh@tea.ac.cn}},
ResearcherID-Numbers = {{Zhao, Tianbao/I-4890-2015}},
ORCID-Numbers = {{Zhao, Tianbao/0000-0002-8295-6537}},
Funding-Acknowledgement = {{National Key R\&D Program of China {[}2016YFA0600402]; National Natural
   Science Foundation of ChinaNational Natural Science Foundation of China
   {[}91325108, 91425304, 41675094, 41605066, 41405090]}},
Funding-Text = {{We gratefully acknowledge the two anonymous reviewers for their
   constructive comments, which helped greatly in improving the quality of
   this manuscript. This work was done during the visit of KY in the School
   of Earth, Atmosphere and Environment, Monash University. The work was
   supported by the National Key R\&D Program of China (2016YFA0600402) and
   National Natural Science Foundation of China (91325108, 91425304,
   41675094, 41605066 and 41405090).}},
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Number-of-Cited-References = {{68}},
Times-Cited = {{1}},
Usage-Count-Last-180-days = {{3}},
Usage-Count-Since-2013 = {{25}},
Journal-ISO = {{Clim. Dyn.}},
Doc-Delivery-Number = {{GA8OS}},
Unique-ID = {{ISI:000428600200044}},
DA = {{2020-08-06}},
}

@article{ ISI:000428492700002,
Author = {Baynes, Timothy M. and Crawford, Robert H. and Schinabeck, Judith and
   Bontinck, Paul-Antoine and Stephan, Andre and Wiedmann, Thomas and
   Lenzen, Manfred and Kenway, Steven and Yu, Man and Teh, Soo Huey and
   Lane, Joe and Geschke, Arne and Fry, Jacob and Chen, Guangwu},
Title = {{The Australian industrial ecology virtual laboratory and multi-scale
   assessment of buildings and construction}},
Journal = {{ENERGY AND BUILDINGS}},
Year = {{2018}},
Volume = {{164}},
Pages = {{14-20}},
Month = {{APR 1}},
Abstract = {{As global population and urbanization increase, so do the direct and
   indirect environmental impacts of construction around the world.
   Low-impact products, buildings, precincts and cities are needed to
   mitigate the effects of building construction and use. Analysis of
   embodied energy and greenhouse gas (GHG) emissions across these scales
   is becoming more important to support this direction. The calculation of
   embodied impacts requires rigorous, flexible and comprehensive
   assessment tools. Firstly, we present the Australian Industrial Ecology
   Virtual Laboratory (IELab) as one such tool discussing its structure,
   function and wide scope of application. Secondly, we demonstrate its
   potential high level of resolution in a case study: assessing embodied
   GHG emissions in an aluminium-framed window by combining product
   specific life-cycle inventory data. The input-output analysis at the
   core of the IELab is mathematically comprehensive in the assessment of
   direct and indirect impacts and the tool can be applied at a range of
   scales from building component, to precincts and cities, or to the
   entire construction industry. IELab uses a flexible formalism that
   enables consistent harmonisation of diverse datasets and tractable
   updating of input data. The emissions and energy database supporting
   IELab has detailed data, aligning with economic accounts and data on
   labour, water, materials and waste that enrich assessment across other
   dimensions of sustainability. IELab is a comprehensive, flexible and
   robust assessment tool well positioned to respond to the challenge of
   assessing and aiding the design of a low-impact built environment. (C)
   2018 Elsevier B.V. All rights reserved.}},
Publisher = {{ELSEVIER SCIENCE SA}},
Address = {{PO BOX 564, 1001 LAUSANNE, SWITZERLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Baynes, TM (Corresponding Author), CSIRO, Land \& Water Div, Sydney, NSW, Australia.
   Baynes, Timothy M., CSIRO, Land \& Water Div, Sydney, NSW, Australia.
   Crawford, Robert H.; Bontinck, Paul-Antoine; Stephan, Andre, Univ Melbourne, Melbourne Sch Design, Melbourne, Vic, Australia.
   Schinabeck, Judith; Wiedmann, Thomas; Yu, Man; Teh, Soo Huey; Chen, Guangwu, UNSW, Sch Civil \& Environm Engn, Sustainabil Assessment Program, Sydney, NSW, Australia.
   Lenzen, Manfred; Geschke, Arne; Fry, Jacob, Univ Sydney, Sch Phys, Inst Sustainabil Anal, Sydney, NSW, Australia.
   Kenway, Steven, Univ Queensland, Sch Chem Engn, Brisbane, Qld, Australia.
   Lane, Joe, Univ Queensland, Dow Ctr Sustainable Engn Innovat, Brisbane, Qld, Australia.}},
DOI = {{10.1016/j.enbuild.2017.12.056}},
ISSN = {{0378-7788}},
EISSN = {{1872-6178}},
Keywords = {{Input-output analysis; Embodied energy; Embodied emissions;
   Environmental footprint; Low-impact buildings; Building component}},
Keywords-Plus = {{LIFE-CYCLE ASSESSMENT; ENERGY EFFICIENCY REGULATIONS; EMBODIED ENERGY;
   INPUT-OUTPUT; RESIDENTIAL BUILDINGS; HYBRID LCA; ASPHALT MIXTURES;
   CARBON EMISSIONS; POWER-SERIES; MODEL}},
Research-Areas = {{Construction \& Building Technology; Energy \& Fuels; Engineering}},
Web-of-Science-Categories  = {{Construction \& Building Technology; Energy \& Fuels; Engineering, Civil}},
Author-Email = {{tim.baynes@csiro.au}},
ResearcherID-Numbers = {{Crawford, Robert/C-4547-2016
   Crawford, Robert/N-7428-2019
   Wiedmann, Thomas/C-9158-2011
   Lane, Joe/G-8434-2011
   Baynes, Timothy/D-4738-2011
   Lane, Joe/AAU-7551-2020
   Stephan, Andre/F-9879-2015
   Kenway, Steven/J-8031-2013
   Chen, Guangwu/Y-6560-2019
   }},
ORCID-Numbers = {{Crawford, Robert/0000-0002-0189-3221
   Crawford, Robert/0000-0002-0189-3221
   Wiedmann, Thomas/0000-0002-6395-8887
   Lane, Joe/0000-0001-9938-8030
   Baynes, Timothy/0000-0001-8416-3365
   Stephan, Andre/0000-0001-9538-3830
   Kenway, Steven/0000-0002-2095-9388
   Bontinck, Paul-Antoine/0000-0002-4072-1334
   Chen, Guangwu/0000-0003-2225-2711
   Fry, Jacob/0000-0002-2349-6745}},
Funding-Acknowledgement = {{NeCTAR scheme; Education Investment Fund; Australian Research
   CouncilAustralian Research Council {[}DP150100962, LE160100066];  {[}DE
   160101322]}},
Funding-Text = {{IELab was funded under the NeCTAR scheme. NeCTAR is an Australian
   Government project conducted as part of the Super Science initiative and
   financed by the Education Investment Fund (2009-2013). Parts of this
   research were funded by the Australian Research Council under the
   Discovery Project DP150100962. The Industrial Ecology Virtual Laboratory
   (IELab) is supported by the Australian Research Council grant
   LE160100066. Dr Kenway acknowledges Grant DE 160101322.}},
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Number-of-Cited-References = {{74}},
Times-Cited = {{8}},
Usage-Count-Last-180-days = {{6}},
Usage-Count-Since-2013 = {{28}},
Journal-ISO = {{Energy Build.}},
Doc-Delivery-Number = {{GA7CR}},
Unique-ID = {{ISI:000428492700002}},
OA = {{Green Published}},
DA = {{2020-08-06}},
}

@article{ ISI:000428099800007,
Author = {Jackson, Randall W. and Ferreira Neto, Amir B. and Erfanian, Elham},
Title = {{Woody biomass Processing: Potential economic impacts on rural regions}},
Journal = {{ENERGY POLICY}},
Year = {{2018}},
Volume = {{115}},
Pages = {{66-77}},
Month = {{APR}},
Abstract = {{This paper estimates the economic and environmental impacts of
   introducing woody biomass processing (WBP) into a rural area in central
   Appalachia. WBP is among the most promising additions to energy
   generation portfolios for reducing import dependency while at the same
   time providing economic opportunity to stimulate regional economies,
   especially in rural regions where economic development options are often
   limited. We use an input-output framework to assess WBP under three
   different pathways, fast pyrolysis, ethanol and coal biomass to liquids.
   We find that the proposed WBP will increase regional output by 0.5-1.3\%
   of gross regional product; it will increase income by \$17.32 to \$51.31
   million dollars each year, and regional employment by 218.1-1127.8 jobs,
   depending on the chosen pathway. Of these impacts, the direct portions
   are 63-77\% of the total impact, depending on the chosen pathway. The
   economic analysis and the results from the accompanying environmental
   assessment show that only the ethanol pathway has both economic and
   environmental benefits. We conclude that because long-run economic
   development strategies in rural regions are limited and negative impacts
   do not alter dramatically the regional environmental profile, regional
   policymakers should include WBP among their development portfolio
   options.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Jackson, RW (Corresponding Author), West Virginia Univ, Reg Res Inst, 886 Chestnut Ridge Rd,POB 6825, Morgantown, WV 26506 USA.
   Jackson, Randall W., West Virginia Univ, Reg Res Inst, 886 Chestnut Ridge Rd,POB 6825, Morgantown, WV 26506 USA.
   Ferreira Neto, Amir B., West Virginia Univ, Coll Business \& Econ, Reg Res Inst, 886 Chestnut Ridge Rd,POB 6825, Morgantown, WV 26506 USA.
   Erfanian, Elham, West Virginia Univ, Sch Nat Resources, Reg Res Inst, 886 Chestnut Ridge Rd,POB 6825, Morgantown, WV 26506 USA.}},
DOI = {{10.1016/j.enpol.2018.01.001}},
ISSN = {{0301-4215}},
EISSN = {{1873-6777}},
Keywords = {{Woody biomass processing; Input output analysis; Life cycle assessment;
   Central Appalachia; Rural economic development}},
Keywords-Plus = {{BIOENERGY PRODUCTION; INTEGRATED ENERGY; RENEWABLE ENERGY; INPUT-OUTPUT;
   FUEL; OPPORTUNITY; COAL}},
Research-Areas = {{Business \& Economics; Energy \& Fuels; Environmental Sciences \&
   Ecology}},
Web-of-Science-Categories  = {{Economics; Energy \& Fuels; Environmental Sciences; Environmental
   Studies}},
Author-Email = {{randall.jackson@mail.wvu.edu
   amneto@mix.wvu.edu
   Elhamerfanian@mix.wvu.edu}},
Funding-Acknowledgement = {{National Institute of Food and Agriculture, U.S. Department of
   AgricultureUnited States Department of Agriculture (USDA)
   {[}2012-67009-19660]}},
Funding-Text = {{This material is based upon work supported by the National Institute of
   Food and Agriculture, U.S. Department of Agriculture, under award number
   2012-67009-19660.}},
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Number-of-Cited-References = {{64}},
Times-Cited = {{8}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{8}},
Journal-ISO = {{Energy Policy}},
Doc-Delivery-Number = {{GA1TH}},
Unique-ID = {{ISI:000428099800007}},
OA = {{Green Published}},
DA = {{2020-08-06}},
}

@article{ ISI:000428099800029,
Author = {Chen, Zi-yue and Huang, Zhen-hai and Nie, Pu-yan},
Title = {{Industrial characteristics and consumption efficiency from a nexus
   perspective - Based on Anhui's Empirical Statistics}},
Journal = {{ENERGY POLICY}},
Year = {{2018}},
Volume = {{115}},
Pages = {{281-290}},
Month = {{APR}},
Abstract = {{As energy and water resources are coupled during the process of
   manufacturing and consumption, the energy water nexus should be obtained
   so as to develop a better understanding of sustainable resources
   consumption and reservation. In this study, we analyzed the consumption
   status and pattern of eight categorized industrial sectors based on the
   framework of input-output analysis (IOA) and network analysis. It
   indicates that the resource consumption status or pattern is influenced
   by different industrial characteristics, location and the degree that
   each industry benefits from policy. Similarly, such influences still
   exist in the energy and water efficiency measured by Finn's cycling
   index (FCD. The industrial structural transformation affects the
   resource consumption structure as well. Given that the energy-water
   nexus can capture the performance of industrial activities in the
   network and serve as a measurement of self-evaluation, the results also
   demonstrate the effectiveness of industrial transformation and upgrading
   in Anhui province. Policy implications extended from the results can
   provide the authorities with a reference for other transitional areas
   between less-developed and developed areas in a developing country. The
   research expands the application of energy-water nexus system in Anhui
   Province and provides pertinent suggestions according to the unique
   feature of the area.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Huang, ZH (Corresponding Author), Jinan Univ, Inst Ind Econ, 601 Huangpu Ave, Guangzhou 510632, Guangdong, Peoples R China.
   Nie, PY (Corresponding Author), Guangdong Univ Finance \& Econ, 21 Luntou Rd, Guangzhou 510320, Guangdong, Peoples R China.
   Chen, Zi-yue, Xiamen Univ, Sch Management, Xiamen 361005, Peoples R China.
   Huang, Zhen-hai, Jinan Univ, Inst Ind Econ, 601 Huangpu Ave, Guangzhou 510632, Guangdong, Peoples R China.
   Nie, Pu-yan, Guangdong Univ Finance \& Econ, 21 Luntou Rd, Guangzhou 510320, Guangdong, Peoples R China.}},
DOI = {{10.1016/j.enpol.2018.01.031}},
ISSN = {{0301-4215}},
EISSN = {{1873-6777}},
Keywords = {{Energy-water nexus; Input-output analysis; Network analysis; Finn's
   cycling index}},
Research-Areas = {{Business \& Economics; Energy \& Fuels; Environmental Sciences \&
   Ecology}},
Web-of-Science-Categories  = {{Economics; Energy \& Fuels; Environmental Sciences; Environmental
   Studies}},
Author-Email = {{czy\_0077@126.com
   huangzhenhai@live.com
   pynie@gdufe.edu.cn}},
ResearcherID-Numbers = {{陈, 子月/H-7252-2018
   NIE, Pu-yan/J-3547-2019}},
ORCID-Numbers = {{陈, 子月/0000-0003-3416-3345
   NIE, Pu-yan/0000-0002-6214-5980}},
Funding-Acknowledgement = {{GDUPS; National Natural Science Foundation of PRCNational Natural
   Science Foundation of China {[}71271100]; Innovative Group Foundation
   (Humanities and Social Sciences) for Higher Education of Guangdong
   Province {[}2015WCXTD009]}},
Funding-Text = {{This work is partially supported by GDUPS (2012) and National Natural
   Science Foundation of PRC (71271100), and, Innovative Group Foundation
   (Humanities and Social Sciences) for Higher Education of Guangdong
   Province (2015WCXTD009). Sincere thanks are given to the editor and
   anonymous reviewers for their comments on the draft manuscript.}},
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Number-of-Cited-References = {{42}},
Times-Cited = {{18}},
Usage-Count-Last-180-days = {{7}},
Usage-Count-Since-2013 = {{27}},
Journal-ISO = {{Energy Policy}},
Doc-Delivery-Number = {{GA1TH}},
Unique-ID = {{ISI:000428099800029}},
DA = {{2020-08-06}},
}

@article{ ISI:000427702100016,
Author = {Hoa Thi Nguyen and Aviso, Kathleen B. and Kojima, Naoya and Tokai,
   Akihiro},
Title = {{Structural analysis of the interrelationship between economic activities
   and water pollution in Vietnam in the period of 2000-2011}},
Journal = {{CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY}},
Year = {{2018}},
Volume = {{20}},
Number = {{3, SI}},
Pages = {{621-638}},
Month = {{APR}},
Abstract = {{Rapid economic growth and poor waste management have left Vietnam with
   severe water pollution problems. It is thus important to develop a model
   to evaluate the relationship between economic activities and water
   pollution to identify water pollution mitigation strategies within the
   context of economic development. Recent works have demonstrated the
   effectiveness of the input-output model in analyzing the interplay
   between the economy and the environment. To comprehensively understand
   this relationship, the behavior and trend of water pollution during a
   specified period should be investigated on. The interaction of different
   economic sectors and its impacts on water pollution should also be
   analyzed. For the Vietnamese economy, such aspects have not been fully
   addressed in previous studies. This work thus examines the state of
   water pollution in Vietnam as indicated by water quality parameters,
   total suspended solids and biological oxygen demand, with particular
   attention to the individual contribution of various economic sectors.
   The period between the years 2000 and 2011 is taken into account in this
   work. Environmentally extended input-output analysis coupled with
   vertical integrated coefficient method is used to analyze the
   interindustry linkages of sectors and to classify sector role as either
   key sector or pollution puller or pusher. The pollution trend reveals
   the tremendous increase in total suspended solids from 345,000 tonnes in
   2000 to 1,199,000 tonnes in 2011, while the total biological oxygen
   demand increased from 43,400 tonnes in 2000 to 123,000 tonnes in 2011.
   Results show that the basic metals industry was the major contributor of
   total suspended solids, while the food, beverage and tobacco and
   agriculture, fishery and forestry sectors contributed most to the
   biological oxygen demand. The results of sectoral linkage evaluation
   highlight that food, beverage and tobacco and agriculture, fishery and
   forestry sectors were key sectors for both water quality parameters.
   These results provide environmental managers and policy maker insights
   on how to prioritize economic sectors to achieve emission reduction
   targets.}},
Publisher = {{SPRINGER}},
Address = {{233 SPRING ST, NEW YORK, NY 10013 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Nguyen, HT (Corresponding Author), Osaka Univ, Div Sustainable Energy \& Environm Engn, Suita, Osaka, Japan.
   Hoa Thi Nguyen; Kojima, Naoya; Tokai, Akihiro, Osaka Univ, Div Sustainable Energy \& Environm Engn, Suita, Osaka, Japan.
   Aviso, Kathleen B., De La Salle Univ, Dept Chem Engn, Manila, Philippines.}},
DOI = {{10.1007/s10098-018-1492-8}},
ISSN = {{1618-954X}},
EISSN = {{1618-9558}},
Keywords = {{Water pollution; Environmentally extended input-output analysis;
   Pollution load; Emission components; Water waste management}},
Keywords-Plus = {{PROJECTION SYSTEM IPPS; INPUT-OUTPUT APPROACH; LOAD ASSESSMENT;
   WASTE-WATER; MICROALGAE; REMOVAL; MODEL}},
Research-Areas = {{Science \& Technology - Other Topics; Engineering; Environmental
   Sciences \& Ecology}},
Web-of-Science-Categories  = {{Green \& Sustainable Science \& Technology; Engineering, Environmental;
   Environmental Sciences}},
Author-Email = {{Hoa@em.see.eng.osaka-u.ac.jp}},
Funding-Acknowledgement = {{Japan International Cooperation Agency (JICA)}},
Funding-Text = {{The authors are grateful for the financial support provided by the Japan
   International Cooperation Agency (JICA) to study and conduct this
   research.}},
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Number-of-Cited-References = {{55}},
Times-Cited = {{3}},
Usage-Count-Last-180-days = {{4}},
Usage-Count-Since-2013 = {{21}},
Journal-ISO = {{Clean Technol. Environ. Policy}},
Doc-Delivery-Number = {{FZ6IT}},
Unique-ID = {{ISI:000427702100016}},
DA = {{2020-08-06}},
}

@article{ ISI:000427709200002,
Author = {Shestakova, Tatiana A. and Gutierrez, Emilia and Voltas, Jordi},
Title = {{A roadmap to disentangling ecogeographical patterns of spatial synchrony
   in dendrosciences}},
Journal = {{TREES-STRUCTURE AND FUNCTION}},
Year = {{2018}},
Volume = {{32}},
Number = {{2}},
Pages = {{359-370}},
Month = {{APR}},
Abstract = {{A systematic assessment of spatial synchrony in tree growth, a
   fundamental feature of spatiotemporal forest dynamics, can provide
   valuable insights into complex tree reactions across species and
   environmental gradients.
   The concept of spatial synchrony in ecology refers to the presence of
   coordinated time fluctuations in certain characteristics that can be
   observed in plant and animal communities inhabiting an area. It is a
   well-known phenomenon common to virtually every taxon, but comparatively
   little attention has been given to the study of the temporal coherence
   of forest tree performance across biogeographical gradients. In forest
   ecosystems, tree growth dynamics is primarily driven by climatic
   variability (i.e., the Moran effect). Due to rapid climate change, trees
   are increasingly pushed to their physiological limits up to the level
   that many populations are facing immediate risk of extinction. The
   characterization of synchrony patterns in tree growth can provide clues
   on the relevance of emerging climatic threats on forests, as new
   combinations of precipitation and temperature are entraining tree
   performance worldwide. In this regard, comprehensive and systematic
   approaches to analyse spatiotemporal dynamics of tree growth are needed.
   Here, we present a methodology for disentangling and interpreting how
   the variability and common signal strength of tree growth (or other
   traits) are structured in tree-ring networks. It is grounded on mixed
   modelling principles and broadens well-known theoretical principles in
   dendrosciences. Based on this approach, we describe the essential
   properties of spatial synchrony in tree growth at multiple geographical
   scales. We also discuss the potential of this methodology to discern
   early warning signals of climate change impacts on forest ecosystems.}},
Publisher = {{SPRINGER HEIDELBERG}},
Address = {{TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY}},
Type = {{Review}},
Language = {{English}},
Affiliation = {{Shestakova, TA (Corresponding Author), Univ Barcelona, Dept Evolutionary Biol Ecol \& Environm Sci, Avda Diagonal 643, E-08028 Barcelona, Spain.
   Shestakova, TA (Corresponding Author), Univ Lleida, Dept Crop \& Forest Sci, AGROTECNIO Ctr, Avda Rovira Roure 191, Lleida 25198, Spain.
   Shestakova, Tatiana A.; Gutierrez, Emilia, Univ Barcelona, Dept Evolutionary Biol Ecol \& Environm Sci, Avda Diagonal 643, E-08028 Barcelona, Spain.
   Shestakova, Tatiana A.; Voltas, Jordi, Univ Lleida, Dept Crop \& Forest Sci, AGROTECNIO Ctr, Avda Rovira Roure 191, Lleida 25198, Spain.}},
DOI = {{10.1007/s00468-017-1653-0}},
ISSN = {{0931-1890}},
EISSN = {{1432-2285}},
Keywords = {{Biogeography; Moran effect; Spatiotemporal variability; Teleconnection;
   Tree rings; Tree growth}},
Keywords-Plus = {{TREE-RING WIDTH; DOUGLAS-FIR GROWTH; FAGUS-SYLVATICA L.; CLIMATE-CHANGE;
   NORTHERN-HEMISPHERE; STABLE-ISOTOPES; FOREST GROWTH; SPATIOTEMPORAL
   VARIABILITY; GENETIC-STRUCTURE; TIME-SERIES}},
Research-Areas = {{Forestry}},
Web-of-Science-Categories  = {{Forestry}},
Author-Email = {{tasha.work24@gmail.com}},
ResearcherID-Numbers = {{Shestakova, Tatiana/S-4198-2016
   Gutierrez, Emilia/O-7568-2014
   Voltas, Jordi/N-9587-2019}},
ORCID-Numbers = {{Shestakova, Tatiana/0000-0002-5605-0299
   Gutierrez, Emilia/0000-0002-6085-5700
   Voltas, Jordi/0000-0003-4051-1158}},
Funding-Acknowledgement = {{ERANET-Mundus (European Commission); Catalan Government {[}2014 SGR1141]}},
Funding-Text = {{T.A.S. acknowledges support of ERANET-Mundus (European Commission). This
   study was supported by the project 2014 SGR1141 (Catalan Government).}},
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