text:
, Nanjing 210098, Jiangsu, Peoples R China.
   Yang, Hong, Swiss Fed Inst Aquat Sci \& Technol Eawag, Ueberlandstr 133, CH-8600 Dubendorf, Switzerland.
   Yang, Hong, MGU Univ Basel Switzerland, Dept Enviornm Sci, Peterspl 1, CH-4001 Basel, Switzerland.
   Liu, Qingying, Beijing Forestry Univ, Sch Nat Conservat, Qinghua East Rd 35, Beijing 100083, Peoples R China.
   Xiao, Honglang; Cheng, Guodong, Chinese Acad Sci, Northwest Inst Ecoenvironm \& Resources, Donggang West Rd 320, Lanzhou 730000, Gansu, Peoples R China.}},
DOI = {{10.1016/j.jclepro.2018.04.194}},
ISSN = {{0959-6526}},
EISSN = {{1879-1786}},
Keywords = {{Structural decomposition analysis; Heihe river basin; Water-saving
   society}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS; LOCATION QUOTIENTS; NORTHWEST CHINA; APPROPRIATE
   USE; FOOTPRINT; CONSUMPTION; IRRIGATION; TRADE; CONSERVATION;
   AGRICULTURE}},
Research-Areas = {{Science \& Technology - Other Topics; Engineering; Environmental
   Sciences \& Ecology}},
Web-of-Science-Categories  = {{Green \& Sustainable Science \& Technology; Engineering, Environmental;
   Environmental Sciences}},
Author-Email = {{liujg@sustc.edu.cn
   xuzhao@hhu.edu.cn}},
ResearcherID-Numbers = {{Zhao, Xu/A-6972-2015
   Yang, Hong/AAA-5152-2020
   Liu, Junguo/B-3021-2012}},
ORCID-Numbers = {{Zhao, Xu/0000-0002-7461-852X
   Liu, Junguo/0000-0002-5745-6311}},
Funding-Acknowledgement = {{National Natural Science Foundation of ChinaNational Natural Science
   Foundation of China {[}91425303, 91325302, 41571022]; National Science
   Fund for Distinguished Youth Scholars {[}41625001]; gs3:Beijing Natural
   Science Foundation Grant {[}8151002]; Fundamental Research Funds for the
   Central UniversitiesFundamental Research Funds for the Central
   Universities {[}2016B13814]; Potsdam Institute for Climate Impact
   Research in Germany; University of Leeds in UK for the Senior Cheney
   Fellowship}},
Funding-Text = {{This study was supported by the National Natural Science Foundation of
   China (91425303, 91325302, 41571022), the National Science Fund for
   Distinguished Youth Scholars (41625001), the gs3:Beijing Natural Science
   Foundation Grant (8151002), and the Fundamental Research Funds for the
   Central Universities (2016B13814). We also thank the Potsdam Institute
   for Climate Impact Research in Germany for supporting Dr. Junguo Liu's
   visits and the University of Leeds in UK for the Senior Cheney
   Fellowship. The data of the input-output of the Heihe River Basin in
   1997, 2002, 2007, water consumption data with sectoral details to
   reproduce the quantification of the study are available from the authors
   upon request (xu.zhao.water@hotmail.com).}},
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Number-of-Cited-References = {{59}},
Times-Cited = {{9}},
Usage-Count-Last-180-days = {{4}},
Usage-Count-Since-2013 = {{55}},
Journal-ISO = {{J. Clean Prod.}},
Doc-Delivery-Number = {{GH7RH}},
Unique-ID = {{ISI:000433650600069}},
OA = {{Green Accepted}},
DA = {{2020-08-06}},
}

@article{ ISI:000433650600073,
Author = {Zhang, Fan and Zhan, Jinyan and Li, Zhihui and Jia, Siqi and Chen, Sijin},
Title = {{Impacts of urban transformation on water footprint and sustainable
   energy in Shanghai, China}},
Journal = {{JOURNAL OF CLEANER PRODUCTION}},
Year = {{2018}},
Volume = {{190}},
Pages = {{847-853}},
Month = {{JUL 20}},
Abstract = {{For the past three decades, the notion of sustainable cities has become
   central in planning and managing urban areas in the world and the
   large-scale city formation has been formed in big cities. As a result of
   economic growth and urban transformation, Shanghai, a major Chinese
   international metropolis, faces ongoing issues with resource waste and
   low energy utilization. Therefore, this paper aims to consider the
   availability of water for energy production from a consumption-based
   perspective and estimate the water footprint of the energy supply using
   a regional input-output analysis approach for Shanghai. As a result, we
   conclude that the water footprint of the energy supply of Shanghai is
   about 1.28 billion m(3) in 2007, with 46.1\% of water used for
   electricity and heat supply. The total water withdrawal by the energy
   sector is about 2.35 billion m(3) and additional water withdrawal needed
   is about 35\% of the total water withdrawals by the energy sector in
   Shanghai. Furthermore, an energy self-sufficiency scenario was
   developed, and the scenario analysis reveals that 55\% more water would
   be required to ensure a self-sufficient energy sector. To guarantee
   future regional energy security, it is important to manage water
   resources effectively by allocating water resources among sectors. (C)
   2017 Elsevier Ltd. All rights reserved.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Zhan, JY (Corresponding Author), Beijing Normal Univ, Sch Environm, Beijing 100875, Peoples R China.
   Zhang, Fan; Zhan, Jinyan, Beijing Normal Univ, Sch Environm, Beijing 100875, Peoples R China.
   Li, Zhihui; Jia, Siqi, Chinese Acad Sci, Inst Geog Sci \& Nat Resources Res, Beijing 100101, Peoples R China.
   Li, Zhihui; Jia, Siqi, Chinese Acad Sci, Ctr Chinese Agr Policy, Beijing 100101, Peoples R China.
   Li, Zhihui, Univ Chinese Acad Sci, Beijing, Peoples R China.
   Chen, Sijin, Huazhong Agr Univ, Coll Publ Adm, Wuhan, Hubei, Peoples R China.}},
DOI = {{10.1016/j.jclepro.2017.08.157}},
ISSN = {{0959-6526}},
EISSN = {{1879-1786}},
Keywords = {{Urban transformation; Sustainable energy; Water footprint; Regional
   input-output approach; Shanghai}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS; VIRTUAL WATER; ELECTRICITY-GENERATION;
   HYDROGEN-PRODUCTION; LAND-USE; CONSUMPTION; RESOURCES; PROVINCE;
   QUALITY; BIOMASS}},
Research-Areas = {{Science \& Technology - Other Topics; Engineering; Environmental
   Sciences \& Ecology}},
Web-of-Science-Categories  = {{Green \& Sustainable Science \& Technology; Engineering, Environmental;
   Environmental Sciences}},
Author-Email = {{zhanjinyan.bnu@gmail.com}},
Funding-Acknowledgement = {{state key program of National Natural Science Foundation of
   ChinaNational Natural Science Foundation of China {[}71533004]; major
   research plan of the National Natural Science Foundation of
   ChinaNational Natural Science Foundation of China {[}91325302]; National
   Natural Science Foundation of International/Regional Cooperation and
   Exchange Programs {[}71561137002]}},
Funding-Text = {{This research was financially supported by the research funds from state
   key program of National Natural Science Foundation of China (Grant No.
   71533004), the major research plan of the National Natural Science
   Foundation of China (Grant No.91325302), and the National Natural
   Science Foundation of International/Regional Cooperation and Exchange
   Programs (Grant No. 71561137002).}},
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Number-of-Cited-References = {{49}},
Times-Cited = {{11}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{33}},
Journal-ISO = {{J. Clean Prod.}},
Doc-Delivery-Number = {{GH7RH}},
Unique-ID = {{ISI:000433650600073}},
DA = {{2020-08-06}},
}

@article{ ISI:000438850200025,
Author = {Dutta, Riya and Maity, Rajib},
Title = {{Temporal evolution of hydroclimatic teleconnection and a time-varying
   model for long-lead prediction of Indian summer monsoon rainfall}},
Journal = {{SCIENTIFIC REPORTS}},
Year = {{2018}},
Volume = {{8}},
Month = {{JUL 17}},
Abstract = {{Several cases of failure in the prediction of Indian Summer Monsoon
   Rainfall (ISMR) are the major concern for long-lead prediction. We
   propose that this is due to the temporal evolution of
   association/linkage (inherent concept of temporal networks) with various
   factors and climatic indices across the globe, such as El Nino-Southern
   Oscillation (ENSO), Equatorial Indian Ocean Oscillation (EQUINOO),
   Atlantic Multidecadal Oscillation (AMO), North Atlantic Oscillation
   (NAO), Pacific Decadal Oscillation (PDO) etc. Static models establish
   time-invariant (permanent) connections between such indices (predictors)
   and predictand (ISMR), whereas we hypothesize that such systems are
   temporally varying in nature. Considering hydroclimatic teleconnection
   with two major climate indices, ENSO and EQUINOO, we showed that the
   temporal persistence of the association is as low as three years. As an
   application of this concept, a statistical time-varying model is
   developed and the prediction performance is compared against its static
   counterpart (time-invariant model). The proposed approach is able to
   capture the ISMR anomalies and successfully predicts the severe drought
   years too. Specifically, 64\% more accurate performance (in terms of
   RMSE) is achievable by the recommended time-varying approach as compared
   to existing time-invariant concepts.}},
Publisher = {{NATURE PUBLISHING GROUP}},
Address = {{MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Maity, R (Corresponding Author), Indian Inst Technol Kharagpur, Dept Civil Engn, Kharagpur 721302, W Bengal, India.
   Dutta, Riya; Maity, Rajib, Indian Inst Technol Kharagpur, Dept Civil Engn, Kharagpur 721302, W Bengal, India.}},
DOI = {{10.1038/s41598-018-28972-z}},
Article-Number = {{10778}},
ISSN = {{2045-2322}},
Keywords-Plus = {{PAIR-COPULA CONSTRUCTIONS; SOUTHERN OSCILLATION; CLIMATE MODEL;
   VARIABILITY; PREDICTABILITY; PACIFIC; ENSO}},
Research-Areas = {{Science \& Technology - Other Topics}},
Web-of-Science-Categories  = {{Multidisciplinary Sciences}},
Author-Email = {{rajib@civil.iitkgp.ernet.in}},
ResearcherID-Numbers = {{Maity, Rajib/AAP-9797-2020
   }},
ORCID-Numbers = {{Maity, Rajib/0000-0001-5631-9553}},
Funding-Acknowledgement = {{Department of Science and Technology, Climate Change Programme (SPLICE),
   Government of India {[}DST/CCP/CoE/79/2017(G)]}},
Funding-Text = {{The work was partially supported by the sponsored projects supported by
   Department of Science and Technology, Climate Change Programme (SPLICE),
   Government of India (Ref No. DST/CCP/CoE/79/2017(G)) through a sponsored
   project.}},
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Number-of-Cited-References = {{51}},
Times-Cited = {{3}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{7}},
Journal-ISO = {{Sci Rep}},
Doc-Delivery-Number = {{GN2SM}},
Unique-ID = {{ISI:000438850200025}},
OA = {{DOAJ Gold, Green Published}},
DA = {{2020-08-06}},
}

@article{ ISI:000439784300036,
Author = {Ham, Yoo-Geun and Kug, Jong-Seong and Yang, Woo-Hyun and Cai, Wenju},
Title = {{Future Changes in Extreme El Nino Events Modulated by North Tropical
   Atlantic Variability}},
Journal = {{GEOPHYSICAL RESEARCH LETTERS}},
Year = {{2018}},
Volume = {{45}},
Number = {{13}},
Pages = {{6646-6653}},
Month = {{JUL 16}},
Abstract = {{The extraordinarily strong El Nino events, such as those of 1982/1983,
   1997/1998, and 2015/2016, are known to cause critical socio-economic
   impacts worldwide by disrupting global weather patterns, cyclones,
   drought/floods, and ecosystems. Therefore, it is a critical question how
   often such extreme El Nino will take place in the future. Although many
   climate models tend to simulate more frequency extreme El Nino under the
   greenhouse warming, there is a large intermodel diversity, with a range
   as large as the multimodel averaged change. The cause for this
   intermodel uncertainty is not known. Here we show that the north
   tropical Atlantic (NTA) mean precipitation plays a significant role in
   controlling changes in the extreme El Nino frequency under global
   warming; that is, much frequent extreme El Nino events under the
   greenhouse warming are simulated in the models whose climatological
   precipitation over the NTA is largely decreased. Relatively drier
   climatology over the NTA can induce a wetter climatology over the
   equatorial eastern Pacific through an atmospheric teleconnection, and it
   provides background condition that the El Nino-related convective
   responses are amplified to push El Nino to the extremes.
   Plain Language Summary There is still large intermodel diversity in the
   simulated increase of extreme El Nino frequency, and it is still unclear
   what controls occurrences of extreme El Nino. In this study, we
   demonstrate that north tropical Atlantic condition is a key factor in
   explaining the intermodel diversity of the frequency change of the
   extreme El Nino, suggesting that the occurrence of extreme El Nino is
   considerably affected by the state of the north tropical Atlantic. Our
   study implies that a better understanding of the climate change over the
   Atlantic may significantly improve the accuracy of the best estimate and
   reduce the uncertainties in projection the devastating extreme climate
   events.}},
Publisher = {{AMER GEOPHYSICAL UNION}},
Address = {{2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Kug, JS (Corresponding Author), Pohang Univ Sci \& Technol, Div Earth Sci \& Engn, Pohang, South Korea.
   Ham, Yoo-Geun, Chonnam Natl Univ, Dept Oceanog, Gwangju, South Korea.
   Kug, Jong-Seong; Yang, Woo-Hyun, Pohang Univ Sci \& Technol, Div Earth Sci \& Engn, Pohang, South Korea.
   Cai, Wenju, Ocean Univ China, CIMST, Phys Oceanog Lab, Qingdao, Peoples R China.
   Cai, Wenju, Qingdao Natl Lab Marine Sci \& Technol, Qingdao, Peoples R China.
   Cai, Wenju, Ctr Southern Hemisphere Oceans Res, Hobart, Tas, Australia.}},
DOI = {{10.1029/2018GL078085}},
ISSN = {{0094-8276}},
EISSN = {{1944-8007}},
Keywords = {{El Nino; extreme El Nino; north tropical Atlantic}},
Keywords-Plus = {{PACIFIC CLIMATE; OSCILLATION; TEMPERATURE; FREQUENCY; ENSO}},
Research-Areas = {{Geology}},
Web-of-Science-Categories  = {{Geosciences, Multidisciplinary}},
Author-Email = {{jskug1@gmail.com}},
ResearcherID-Numbers = {{Cai, Wenju J/C-2864-2012
   }},
ORCID-Numbers = {{Cai, Wenju J/0000-0001-6520-0829
   KUG, JONG-SEONG/0000-0003-2251-2579}},
Funding-Acknowledgement = {{Korea Meteorological Administration Research and Development Program
   {[}KMI2018-03214]; National Research Foundation of KoreaNational
   Research Foundation of Korea {[}NRF-2018R1A5A1024958]}},
Funding-Text = {{This work was funded by the Korea Meteorological Administration Research
   and Development Program under grant KMI2018-03214. J.-S. Kug is
   supported by National Research Foundation of Korea
   (NRF-2018R1A5A1024958).}},
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Number-of-Cited-References = {{31}},
Times-Cited = {{2}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{15}},
Journal-ISO = {{Geophys. Res. Lett.}},
Doc-Delivery-Number = {{GO2FL}},
Unique-ID = {{ISI:000439784300036}},
DA = {{2020-08-06}},
}

@article{ ISI:000438829800038,
Author = {Zhao, Tong and Song, Zhijie and Li, Tianjiao},
Title = {{Effect of innovation capacity, production capacity and vertical
   specialization on innovation performance in China's electronic
   manufacturing: Analysis from the supply and demand sides}},
Journal = {{PLOS ONE}},
Year = {{2018}},
Volume = {{13}},
Number = {{7}},
Month = {{JUL 16}},
Abstract = {{Manufacturing in China has developed rapidly with the widening and
   deepening of globalization, but only innovation can industry keep
   upgrading and enhancing its international competitiveness. This paper
   combines Global Value Chains (GVCs) and National Value Chains (NVCs) in
   a unified theory framework, uses Structural Decomposition Analysis (SDA)
   to explore how innovation capacity, production capacity, and vertical
   specialization affect innovation performance from the supply and demand
   sides by examining the case of Electronic Manufacturing of China. We
   observe that innovation inputs and outputs present strong regional
   heterogeneity between coastal and inland regions. Although most regions
   continue to engage in processing trade or assembly manufacturing in
   GVCs, NVCs are gradually established and led by coastal regions. The
   results indicate a good chance for cultivating innovation capacity in
   coastal regions. After assessing the influence of determinants on
   innovation performance, we observe that from supply-side, innovation
   capacity has a positive effect on innovation performance, production
   capacity in coastal regions is improving, and domestic demand for
   domestic products is increasingly important. From the demand side,
   innovation capacity continues to have a positive effect on innovation
   performance, production capacity improves rapidly, and imported
   intermediate inputs enhance innovation performance more effectively than
   domestic intermediate inputs.}},
Publisher = {{PUBLIC LIBRARY SCIENCE}},
Address = {{1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Zhao, T (Corresponding Author), Yanshan Univ, Sch Econ \& Management, Qinhuangdao, Peoples R China.
   Zhao, Tong; Song, Zhijie; Li, Tianjiao, Yanshan Univ, Sch Econ \& Management, Qinhuangdao, Peoples R China.}},
DOI = {{10.1371/journal.pone.0200642}},
Article-Number = {{e0200642}},
ISSN = {{1932-6203}},
Keywords-Plus = {{GLOBAL VALUE CHAINS; STRUCTURAL DECOMPOSITION ANALYSIS;
   INPUT-OUTPUT-ANALYSIS; DEVELOPING-COUNTRIES; PROCESSING TRADE; INDUSTRY;
   LEVEL; FIRMS; INTERNATIONALIZATION; ECONOMIES}},
Research-Areas = {{Science \& Technology - Other Topics}},
Web-of-Science-Categories  = {{Multidisciplinary Sciences}},
Author-Email = {{tong\_zhao@yeah.net}},
ORCID-Numbers = {{Tong, Zhao/0000-0003-1818-7064}},
Funding-Acknowledgement = {{Hebei Province innovation ability improvement project: Technological
   Innovation and Applied Research of ``Dazhiyiyun{''} {[}174576231D]}},
Funding-Text = {{Funded by Hebei Province innovation ability improvement project:
   Technological Innovation and Applied Research of ``Dazhiyiyun{''}
   (174576231D to ZS). http://www.hebstd.gov.cn/. The funders had no role
   in study design, data collection and analysis, decision to publish, or
   preparation of the manuscript.}},
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Number-of-Cited-References = {{62}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{24}},
Journal-ISO = {{PLoS One}},
Doc-Delivery-Number = {{GN2LQ}},
Unique-ID = {{ISI:000438829800038}},
OA = {{DOAJ Gold, Green Published}},
DA = {{2020-08-06}},
}

@article{ ISI:000434903500014,
Author = {Apaestegui, James and Cruz, Francisco William and Vuille, Mathias and
   Fohlmeister, Jens and Carlo Espinoza, Jhan and Sifeddine, Abdelfettah
   and Strikis, Nicolas and Guyot, Jean Loup and Ventura, Roberto and
   Cheng, Hai and Edwards, R. Lawrence},
Title = {{Precipitation changes over the eastern Bolivian Andes inferred from
   speleothem (delta O-18) records for the last 1400 years}},
Journal = {{EARTH AND PLANETARY SCIENCE LETTERS}},
Year = {{2018}},
Volume = {{494}},
Pages = {{124-134}},
Month = {{JUL 15}},
Abstract = {{Here we present high-resolution delta O-18 records obtained from
   speleothems collected in the eastern Bolivian Andes. The stable isotope
   records are related to the regional- to large-scale atmospheric
   circulation over South America and allow interpreting changes in delta
   O-18 during the last 1400 yr as a function of changes in precipitation
   regimes over the southern tropical Andes. Two distinct phases with more
   negative delta O-18 values, interpreted as periods of increased
   convective activity over the eastern Andean Cordillera in Bolivia are
   observed concomitantly with periods of global climate anomalies during
   the last millennium, such as the Medieval Climate Anomaly (MCA) and the
   Little Ice Age (LIA) respectively. Changes in the Bolivian delta O-18
   record during the LIA are apparently related to a southward displacement
   of the Intertropical Convergence Zone (ITCZ), which acts as a main
   moisture driver to intensify convection over the tropical continent.
   During the MCA, however, the increased convective activity observed in
   the Bolivian record is likely the result of a different mechanism, which
   implies moisture sourced mainly from the southern tropical Atlantic.
   This interpretation is consistent with paleoclimate records further to
   the north in the tropical Andes that show progressively drier conditions
   during this time period, indicating a more northerly position of the
   ITCZ. The transition period between the MCA and the LIA shows a slight
   tendency toward increased delta O-18 values, indicating weakened
   convective activity. Our results also reveal a non-stationary
   anti-phased behavior between the delta O-18 reconstructions from Bolivia
   and northeastern Brazil that confirms a continental-scale east-west
   teleconnection across South America during the LIA. (C) 2018 Elsevier
   B.V. All rights reserved.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Apaestegui, J (Corresponding Author), Inst Geofis Peru, Lima, Peru.
   Apaestegui, J (Corresponding Author), Pontificia Univ Catolica Peru, Inst Cient Agua, Lima, Peru.
   Apaestegui, James; Carlo Espinoza, Jhan, Inst Geofis Peru, Lima, Peru.
   Apaestegui, James, Pontificia Univ Catolica Peru, Inst Cient Agua, Lima, Peru.
   Cruz, Francisco William, Univ Sao Paulo, Inst Geociencias, Sao Paulo, Brazil.
   Vuille, Mathias, SUNY Albany, Albany, NY 12222 USA.
   Fohlmeister, Jens, Univ Potsdam, Inst Earth \& Environm Sci, Potsdam, Germany.
   Fohlmeister, Jens, GFZ German Res Ctr Geosci, Sect Climate Dynam \& Landscape Dev 5 2, Potsdam, Germany.
   Sifeddine, Abdelfettah, MNHN, CNRS, UPMC, UMR LOCEAN,IRD, Paris, France.
   Strikis, Nicolas, Univ Fed Fluminense, Dept Geoquim, Niteroi, RJ, Brazil.
   Guyot, Jean Loup, OMP, UPS, IRD, CNRS,UMR GET IRD Geosci Environm Toulouse, Toulouse, France.
   Ventura, Roberto, Univ Brasilia, Inst Geociencias, Brasilia, DF, Brazil.
   Cheng, Hai, Xi An Jiao Tong Univ, Inst Global Environm Change, Xian, Shaanxi, Peoples R China.
   Cheng, Hai; Edwards, R. Lawrence, Univ Minnesota Twin Cities, Dept Geol \& Geophys, Minneapolis, MN USA.}},
DOI = {{10.1016/j.epsl.2018.04.048}},
ISSN = {{0012-821X}},
EISSN = {{1385-013X}},
Keywords = {{speleothems; stable isotopes; MCA; LIA; Bolivia; South American Monsoon}},
Keywords-Plus = {{AMERICAN SUMMER MONSOON; ISOTOPIC COMPOSITION; SOUTH-AMERICA;
   ATMOSPHERIC CIRCULATION; CLIMATIC HISTORY; LAKE TITICACA; AMAZON BASIN;
   VARIABILITY; RAINFALL; ALTIPLANO}},
Research-Areas = {{Geochemistry \& Geophysics}},
Web-of-Science-Categories  = {{Geochemistry \& Geophysics}},
Author-Email = {{japaestegui@gmail.com}},
ResearcherID-Numbers = {{Vuille, Mathias/S-3906-2019
   Espinoza, Jhan Carlo/W-3114-2019
   Santos, Roberto Ventura/B-8163-2015
   Vuille, Mathias/O-8128-2019
   Espinoza, Jhan Carlo/A-9396-2011
   Guyot, Jean Loup/A-4193-2010
   Edwards, R. Lawrence/I-3124-2014
   CHENG, HAI/H-3413-2017
   Strikis, Nicolas Misailidis/H-6531-2015}},
ORCID-Numbers = {{Espinoza, Jhan Carlo/0000-0001-7732-8504
   Santos, Roberto Ventura/0000-0001-6071-8100
   Vuille, Mathias/0000-0002-9736-4518
   Espinoza, Jhan Carlo/0000-0001-7732-8504
   Guyot, Jean Loup/0000-0001-6298-7806
   Edwards, R. Lawrence/0000-0002-7027-5881
   CHENG, HAI/0000-0002-5305-9458
   Strikis, Nicolas Misailidis/0000-0003-4721-3380}},
Funding-Acknowledgement = {{Fundacao de Amparo a Pesquisa do Estado de Sao Paulo, Brazil (FAPESP
   grants) {[}2011/39450394]; Fundacao de Amparo a Pesquisa do Estado de
   Sao Paulo, Brazil (NASA/FAPESP through the Dimensions of Biodiversity
   Program grants) {[}2012/50260-6, 2013/50297-0]; CNSFNational Natural
   Science Foundation of China {[}41230524]; US NSFNational Science
   Foundation (NSF) {[}0502535, 3961103404]; NSFNational Science Foundation
   (NSF) {[}1303828, 1523288, 1743738]; DFGGerman Research Foundation (DFG)
   {[}F0809/4-1]; PNICP-Peru {[}N397-PNICP-PIAP-2014];  {[}2013CB955902]}},
Funding-Text = {{We thank Luis Mancini and Ana Carolina Miranda for their support during
   the stable isotope data acquisition at the Universidade de Brasilia and
   Osmar Antunes for his support at the Universidade de Sao Paulo. We also
   thank Angela Ampuero, Omar Gutierrez and Jairo Valdivia for their
   computational support. Thanks to Augusto Auler for his support during
   the fieldwork. This study was undertaken as part of the PALEOTRACES
   project (IRD-UFF-UANTOF), SOHYBAM and PRIMO cooperative project
   (CNPq-IRD), and supported by the Fundacao de Amparo a Pesquisa do Estado
   de Sao Paulo, Brazil (FAPESP grants 2011/39450394 and NASA/FAPESP
   through the Dimensions of Biodiversity Program grants 2012/50260-6 and
   2013/50297-0 to F.W. Cruz) and also by grants 2013CB955902, CNSF
   41230524, US NSF grant 0502535 and 3961103404 to L. Edwards and H.
   Cheng, and NSF grants 1303828, 1523288 and 1743738 to M. Vuille and DFG
   grant F0809/4-1 to J. Fohlmeister. J. Apaestegui and JC. Espinoza were
   partially funded by PNICP-Peru through the `N397-PNICP-PIAP-2014'
   contract.}},
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Number-of-Cited-References = {{64}},
Times-Cited = {{8}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{25}},
Journal-ISO = {{Earth Planet. Sci. Lett.}},
Doc-Delivery-Number = {{GI9ZG}},
Unique-ID = {{ISI:000434903500014}},
DA = {{2020-08-06}},
}

@article{ ISI:000432771000083,
Author = {Wang, Hanning and Wang, Xian'en and Song, Junnian and Wang, Shuo and
   Liu, Xiaoyu},
Title = {{Uncovering regional energy and environmental benefits of urban waste
   utilization: A physical input-output analysis for a city case}},
Journal = {{JOURNAL OF CLEANER PRODUCTION}},
Year = {{2018}},
Volume = {{189}},
Pages = {{922-932}},
Month = {{JUL 10}},
Abstract = {{A variety of urban wastes pertain to biomass bringing promising prospect
   for the transition of fossil to renewable energy sources. Increasing
   amount and irrational disposal of them are leading to health and
   environmental hazards. It is imperative to implement waste utilization
   for energy recovery for promoting urban energy security and
   environmental improvement. Considering the deficiency in the analysis of
   the regional energy and environmental benefits created by the
   utilization of multiple urban wastes from a holistic perspective, this
   study elaborates four kinds of waste-to-energy (WtE) applications,
   including combustible waste incineration, food waste biogas, organic
   wastewater biogas and livestock manure biogas for their industrial
   development. A physical input-output (1-0) model combined with the
   baseline method of Clean Development Mechanism methodology is developed
   to evaluate the overall regional energy and environmental benefits of
   waste utilization for energy recovery. In the city of the case study,
   power generation from energy recovery could amount to 1.6 x 10(9) kWh,
   of which the largest is from waste incineration accounting for 50.4\% by
   2025. Total mitigation potentials for the accumulative greenhouse gases,
   sulfur dioxide and nitrogen oxide emissions are 85.6 x 10(9)t (carbon
   dioxide equivalent), 1.6 x 10(3) t and 2.9 x 10(3) t, respectively
   during 2016-2025. The amount of wastes available for energy recovery,
   energy efficiency and environmental impacts of WtE technologies and
   regional 1-0 framework are major factors affecting the energy and
   environmental benefits. The methods and results presented are expected
   to provide local government with references for decision making in waste
   management and bioenergy planning. (C) 2018 Elsevier Ltd. All rights
   reserved.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Song, JN (Corresponding Author), Jilin Univ, Tang Aoqing Bldg C440,Ojanjin St 2699, Changchun 130012, Jilin, Peoples R China.
   Wang, Hanning; Wang, Xian'en; Song, Junnian; Wang, Shuo; Liu, Xiaoyu, Jilin Univ, Key Lab Groundwater Resources \& Environm, Chinas Minist Educ, Jiefang Rd 2519, Changchun 130021, Jilin, Peoples R China.
   Wang, Hanning; Wang, Xian'en; Song, Junnian; Wang, Shuo; Liu, Xiaoyu, Jilin Univ, Coll Environm \& Resources, Qianjin St 2699, Changchun 130012, Jilin, Peoples R China.}},
DOI = {{10.1016/j.jclepro.2018.04.107}},
ISSN = {{0959-6526}},
EISSN = {{1879-1786}},
Keywords = {{Urban wastes; Waste-to-energy; Physical input-output model; Energy
   recovery; Environmental benefits}},
Keywords-Plus = {{MUNICIPAL SOLID-WASTE; LIFE-CYCLE ASSESSMENT; BIOGAS PRODUCTION;
   MANAGEMENT; MODEL; METABOLISM; GENERATION; RECOVERY; INDUSTRY; SYSTEM}},
Research-Areas = {{Science \& Technology - Other Topics; Engineering; Environmental
   Sciences \& Ecology}},
Web-of-Science-Categories  = {{Green \& Sustainable Science \& Technology; Engineering, Environmental;
   Environmental Sciences}},
Author-Email = {{songjunnian@jlu.edu.cn}},
Funding-Acknowledgement = {{China Clean Development Mechanism Fund {[}2014031]; National Social
   Science Fund of China {[}15ZDA015]; Program of Key Research Base of
   Humanities and Social Sciences, Ministry of Education of China
   {[}15JJD810010]}},
Funding-Text = {{This work is financially supported by China Clean Development Mechanism
   Fund {[}No. 2014031], National Social Science Fund of China {[}No.
   15ZDA015] and Program of Key Research Base of Humanities and Social
   Sciences, Ministry of Education of China {[}15JJD810010].}},
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Number-of-Cited-References = {{57}},
Times-Cited = {{6}},
Usage-Count-Last-180-days = {{5}},
Usage-Count-Since-2013 = {{49}},
Journal-ISO = {{J. Clean Prod.}},
Doc-Delivery-Number = {{GG5YE}},
Unique-ID = {{ISI:000432771000083}},
DA = {{2020-08-06}},
}

@article{ ISI:000438007600001,
Author = {Zhang, Wei and Liu, Yu and Feng, Kuishuang and Hubacek, Klaus and Wang,
   Jinnan and Liu, Miaomiao and Jiang, Ling and Jiang, Hongqiang and Liu,
   Nianlei and Zhang, Pengyan and Zhou, Ying and Bi, Jun},
Title = {{Revealing Environmental Inequality Hidden in China's Inter-regional
   Trade}},
Journal = {{ENVIRONMENTAL SCIENCE \& TECHNOLOGY}},
Year = {{2018}},
Volume = {{52}},
Number = {{13}},
Pages = {{7171-7181}},
Month = {{JUL 3}},
Abstract = {{Trade among regions or countries not only allows the exchange of goods
   and services but also leads to the transfer of pollution. The unequal
   exchange of goods and services and associated value added and pollution
   may be subject to environmental inequality in China given that Chinese
   provinces are in different development stages. By using the latest
   multiregional input-output tables and the sectoral air pollutant
   emission inventory in 2012, we traced emissions and value added along
   China's domestic supply chains. Here, we show that 62\%-76\% of the
   consumption-based air-pollutant emissions of richer regions
   (Beijing-Tianjin, East Coast and South Coast) were outsourced to other
   regions; however, approximately 70\% of the value added triggered by
   these region's final consumption was retained within the region. Some
   provinces in western China, such as Guizhou, Ningxia, and Yunnan, not
   only incurred net pollution inflows but also suffered a negative balance
   of value added when trading with rich provinces. Addressing such
   inequalities could provide not only a basis for determining each
   province's responsibility for pollution control but also a model for
   other emerging economies.}},
Publisher = {{AMER CHEMICAL SOC}},
Address = {{1155 16TH ST, NW, WASHINGTON, DC 20036 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Wang, JN; Bi, J (Corresponding Author), Nanjing Univ, Sch Environm, State Key Lab Pollut Control \& Resource Reuse, Nanjing 210023, Jiangsu, Peoples R China.
   Wang, JN (Corresponding Author), Chinese Acad Environm Planning, State Environm Protect Key Lab Environm Planning, Beijing 100012, Peoples R China.
   Zhang, Wei; Wang, Jinnan; Liu, Miaomiao; Bi, Jun, Nanjing Univ, Sch Environm, State Key Lab Pollut Control \& Resource Reuse, Nanjing 210023, Jiangsu, Peoples R China.
   Zhang, Wei; Wang, Jinnan; Jiang, Hongqiang; Liu, Nianlei; Zhou, Ying, Chinese Acad Environm Planning, State Environm Protect Key Lab Environm Planning, Beijing 100012, Peoples R China.
   Liu, Yu, Chinese Acad Sci, Inst Sci \& Dev, Beijing 100190, Peoples R China.
   Liu, Yu, Univ Chinese Acad Sci, Sch Publ Policy \& Management, Beijing 100049, Peoples R China.
   Feng, Kuishuang; Hubacek, Klaus, Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA.
   Hubacek, Klaus, Masaryk Univ, Dept Environm Studies, Brno 60200, Czech Republic.
   Jiang, Ling, Cent Univ Finance \& Econ, Sch Govt, Beijing 100081, Peoples R China.
   Zhang, Pengyan, Henan Univ, Coll Environm \& Planning, Kaifeng 475004, Peoples R China.}},
DOI = {{10.1021/acs.est.8b00009}},
ISSN = {{0013-936X}},
EISSN = {{1520-5851}},
Keywords-Plus = {{POLLUTION HAVEN HYPOTHESIS; INPUT-OUTPUT-ANALYSIS; AIR-POLLUTION;
   UNEQUAL EXCHANGE; SEVERE HAZE; CONSUMPTION; EMISSIONS; IMPACTS; WATER;
   CO2}},
Research-Areas = {{Engineering; Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Engineering, Environmental; Environmental Sciences}},
Author-Email = {{wangjn1962@126.com
   jbi@nju.edu.cn}},
ResearcherID-Numbers = {{Feng, Kuishuang/Y-2541-2019}},
Funding-Acknowledgement = {{National Natural Science Foundation of ChinaNational Natural Science
   Foundation of China {[}71603097, 71433007, 71373294, 71628301,
   71473242]; National Key Research and Development Program of China
   {[}2016YFA0602500]; Peking University-Lincoln Institute Centre for Urban
   Development and Land Policy; Outstanding PhD Candidate Program of
   Nanjing University {[}201601B009]}},
Funding-Text = {{This work is supported by the National Natural Science Foundation of
   China (grant nos. 71603097, 71433007, 71373294, 71628301, and 71473242)
   and the National Key Research and Development Program of China (Grant
   No. 2016YFA0602500). W.Z. is supported by a scholarship from the Peking
   University-Lincoln Institute Centre for Urban Development and Land
   Policy and the Outstanding PhD Candidate Program of Nanjing University
   (grant no. 201601B009).}},
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Number-of-Cited-References = {{63}},
Times-Cited = {{20}},
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Journal-ISO = {{Environ. Sci. Technol.}},
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DA = {{2020-08-06}},
}

@article{ ISI:000435522000002,
Author = {Stephan, Claudia Christine and Klingaman, Nicholas P. and Vidale, Pier
   Luigi and Turner, Andrew G. and Demory, Marie-Estelle and Guo, Liang},
Title = {{A comprehensive analysis of coherent rainfall patterns in China and
   potential drivers. Part II: intraseasonal variability}},
Journal = {{CLIMATE DYNAMICS}},
Year = {{2018}},
Volume = {{51}},
Number = {{1-2}},
Pages = {{17-33}},
Month = {{JUL}},
Abstract = {{The causes of subseasonal precipitation variability in China are
   investigated using observations and reanalysis data for extended winter
   (November-April) and summer (May-October) seasons from 1982 to 2007. For
   each season, the three dominant regions of coherent intraseasonal
   variability are identified with Empirical Orthogonal Teleconnection
   (EOT) analysis. While previous studies have focused on particular causes
   for precipitation variability or on specific regions, here a
   comprehensive analysis is carried out with an objective method.
   Furthermore, the associated rainfall anomaly timeseries are tied to
   specific locations in China, which facilitates their interpretation. To
   understand the underlying processes associated with spatially coherent
   patterns of rainfall variability, fields from observations and
   reanalysis are regressed onto EOT timeseries. The three dominant
   patterns in winter together explain 43\% of the total space-time
   variance and have their origins in midlatitude disturbances that appear
   two pentads in advance. Winter precipitation variability along the
   Yangtze River is associated with wave trains originating over the
   Atlantic and northern Europe, while precipitation variability in
   southeast China is connected to the Mediterranean storm track. In
   summer, all patterns have a strong relationship with the Boreal Summer
   Intraseasonal Oscillation and are modulated by the seasonal cycle of the
   East Asian summer monsoon. The wet and dry phases of the regional
   patterns can substantially modulate the frequency of daily rainfall
   across China. The discovered links between weather patterns, precursors,
   and effects on local and remote precipitation may provide a valuable
   basis for hydrological risk assessments and the evaluation of numerical
   weather prediction models.}},
Publisher = {{SPRINGER}},
Address = {{233 SPRING ST, NEW YORK, NY 10013 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Stephan, CC (Corresponding Author), Univ Reading, Dept Meteorol, Natl Ctr Atmospher Sci Climate, Reading, Berks, England.
   Stephan, Claudia Christine; Klingaman, Nicholas P.; Vidale, Pier Luigi; Turner, Andrew G.; Demory, Marie-Estelle; Guo, Liang, Univ Reading, Dept Meteorol, Natl Ctr Atmospher Sci Climate, Reading, Berks, England.
   Turner, Andrew G., Univ Reading, Dept Meteorol, Reading, Berks, England.
   Demory, Marie-Estelle, Univ Bern, Ctr Space \& Habitabil, CH-3012 Bern, Switzerland.}},
DOI = {{10.1007/s00382-017-3904-6}},
ISSN = {{0930-7575}},
EISSN = {{1432-0894}},
Keywords-Plus = {{OUTGOING LONGWAVE RADIATION; ASIAN SUMMER MONSOON; EAST-ASIA; NORTHERN
   SUMMER; SOUTHERN CHINA; HEAVY RAINFALL; RIVER-BASIN; COLD SURGE;
   OSCILLATION; CIRCULATION}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{c.c.stephan@reading.ac.uk}},
ResearcherID-Numbers = {{Guo, Liang/AAI-6750-2020
   Vidale, Pier Luigi/AAF-6468-2019
   Klingaman, Nicholas P/H-4610-2012
   Turner, Andrew G/D-2286-2009
   Stephan, Claudia Christine/AAL-4455-2020
   Marie-Estelle, Demory/O-5684-2019}},
ORCID-Numbers = {{Guo, Liang/0000-0002-6004-3884
   Vidale, Pier Luigi/0000-0002-1800-8460
   Klingaman, Nicholas P/0000-0002-2927-9303
   Turner, Andrew G/0000-0002-0642-6876
   Marie-Estelle, Demory/0000-0002-5764-3248}},
Funding-Acknowledgement = {{UK-China Research and Innovation Partnership Fund through the Met Office
   Climate Science for Service Partnership (CSSP) China as part of the
   Newton Fund; Independent Research Fellowship from the UK Natural
   Environment Research Council {[}NE/L010976/1]}},
Funding-Text = {{The authors thank the three anonymous reviewers for their constructive
   comments to improve the manuscript. This work and its contributors
   (Claudia Christine Stephan, Pier Luigi Vidale, Andrew Turner,
   Marie-Estelle Demory and Liang Guo) were supported by the UK-China
   Research and Innovation Partnership Fund through the Met Office Climate
   Science for Service Partnership (CSSP) China as part of the Newton Fund.
   Nicholas Klingaman was supported by an Independent Research Fellowship
   from the UK Natural Environment Research Council (NE/L010976/1).
   APHRODITE data are available from http://www.chikyu.ac.jp/precip/. OLR
   data is provided by the NOAA/OAR/ESRL PSD, Boulder, Colorado, USA, at
   http://www.esrl.noaa.gov/psd/. BSISO indices are made available by the
   International Pacific Research Center at the University of Hawaii at
   http://iprc.soest.hawaii.edu/users/jylee/bsiso/. The MJO index is
   obtained from the Australian Bureau of Meteorology
   (http://www.bom.gov.au/climate/mjo/). The Rossby wave source function
   was computed using code from the python package windspharm v1.5.0
   available at http://ajdawson.github.io/windspharm.}},
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