Glacially Derived Material in an Inner Mongolian Desert Lake During Marine Isotope Stage 2
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Impacts of Re-Vegetation on Surface Soil Moisture Over the Chinese Loess Plateau Based on Remote Sensing Datasets
remote sensing Article Impacts of Re-Vegetation on Surface Soil Moisture over the Chinese Loess Plateau Based on Remote Sensing Datasets Qiao Jiao 1,†, Rui Li 1,2,3,*, Fei Wang 1,2,3,*,†, Xingmin Mu 1,2,3, Pengfei Li 2 and Chunchun An 2 1 College of Natural Resources and Environment, Northwest A&F University, Yangling 712100, China; [email protected] (Q.J.); [email protected] (X.M.) 2 Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling 712100, China; [email protected] (P.L.); [email protected] (C.A.) 3 Institute of Soil and Water Conservation, Northwest A&F University, Yangling 712100, China * Correspondence: [email protected] (R.L.); [email protected] (F.W.); Tel.: +86-29-8701-9829 (R.L. & F.W.); Fax: +86-29-8701-2210 (R.L. & F.W.) † These authors contributed equally to this work. Academic Editors: Angela Lausch, Marco Heurich, Nicolas Baghdadi and Prasad S. Thenkabail Received: 4 November 2015; Accepted: 15 February 2016; Published: 19 February 2016 Abstract: A large-scale re-vegetation supported by the Grain for Green Project (GGP) has greatly changed local eco-hydrological systems, with an impact on soil moisture conditions for the Chinese Loess Plateau. It is important to know how, exactly, re-vegetation influences soil moisture conditions, which not only crucially constrain growth and distribution of vegetation, and hence, further re-vegetation, but also determine the degree of soil desiccation and, thus, erosion risk in the region. In this study, three eco-environmental factors, which are Soil Water Index (SWI), the Normalized Difference Vegetation Index (NDVI), and precipitation, were used to investigate the response of soil moisture in the one-meter layer of top soil to the re-vegetation during the GGP. -
Quantifying Trends of Land Change in Qinghai-Tibet Plateau During 2001–2015
remote sensing Article Quantifying Trends of Land Change in Qinghai-Tibet Plateau during 2001–2015 Chao Wang, Qiong Gao and Mei Yu * Department of Environmental Sciences, University of Puerto Rico, Rio Piedras, San Juan, PR 00936, USA; [email protected] (C.W.); [email protected] (Q.G.) * Correspondence: [email protected]; Tel.: +1-787-764-0000 Received: 1 September 2019; Accepted: 17 October 2019; Published: 20 October 2019 Abstract: The Qinghai-Tibet Plateau (QTP) is among the most sensitive ecosystems to changes in global climate and human activities, and quantifying its consequent change in land-cover land-use (LCLU) is vital for assessing the responses and feedbacks of alpine ecosystems to global climate changes. In this study, we first classified annual LCLU maps from 2001–2015 in QTP from MODIS satellite images, then analyzed the patterns of regional hotspots with significant land changes across QTP, and finally, associated these trends in land change with climate forcing and human activities. The pattern of land changes suggested that forests and closed shrublands experienced substantial expansions in the southeastern mountainous region during 2001–2015 with the expansion of massive meadow loss. Agricultural land abandonment and the conversion by conservation policies existed in QTP, and the newly-reclaimed agricultural land partially offset the loss with the resulting net change of 5.1%. Although the urban area only expanded 586 km2, mainly at the expense of agricultural − land, its rate of change was the largest (41.2%). Surface water exhibited a large expansion of 5866 km2 (10.2%) in the endorheic basins, while mountain glaciers retreated 8894 km2 ( 3.4%) mainly in the − southern and southeastern QTP. -
Elevation‐Dependent Thermal Regime and Dynamics of Frozen Ground in the Bayan Har Mountains, Northeastern Qinghai‐Tibet Plat
Received: 14 December 2017 Revised: 20 September 2018 Accepted: 26 September 2018 DOI: 10.1002/ppp.1988 RESEARCH ARTICLE Elevation‐dependent thermal regime and dynamics of frozen ground in the Bayan Har Mountains, northeastern Qinghai‐ Tibet Plateau, southwest China Dongliang Luo1 | Huijun Jin1,2 | Xiaoying Jin1,3,4 | Ruixia He1 | Xiaoying Li1,3,4 | Reginald R. Muskett4 | Sergey S. Marchenko1,4 | Vladimir E. Romanovsky4 1 State Key Laboratory of Frozen Soil Engineering, Northwest Institute of Eco‐ Abstract Environment and Resources, Chinese To investigate and monitor permafrost in the Bayan Har Mountains (BHM), north‐ Academy of Sciences, Lanzhou, China eastern Qinghai–Tibet Plateau, southwest China, 19 boreholes ranging from 20 to 2 School of Civil Engineering, Harbin Institute of Technology, Harbin, China 100 m in depth were drilled along an elevational transect (4,221–4,833 m a.s.l.) from 3 University of Chinese Academy of Sciences, July to September 2010. Measurements from these boreholes demonstrate that Beijing, China ground temperatures at the depth of zero annual amplitude (TZAA) are generally higher 4 Geophysical Institute, University of Alaska −1 Fairbanks, Fairbanks, Alaska, USA than −2.0°C. The lapse rates of TZAA are 4 and 6 °C km , and the lower limits of per- Correspondence mafrost with TZAA < −1°C are approximately 4,650 and 4,750 m a.s.l. on the northern Dongliang Luo, State Key Laboratory of (near Yeniugou) and southern (near Qingshui'he) slopes, respectively. T changes Frozen Soil Engineering, Northwest Institute ZAA of Eco‐Environment and Resources, Chinese abruptly within short distances from −0.2 to +1.2°C near the northern lower limits Academy of Sciences, Lanzhou 730000, China. -
Late Quaternary Climatic and Tectonic Mechanisms Driving River Terrace
ÔØ ÅÒÙ×Ö ÔØ Late Quaternary climatic and tectonic mechanisms driving river terrace development in an area of mountain uplift: A case study in the Langshan area, Inner Mongolia, northern China Liyun Jia, Xujiao Zhang, Zexin He, Xiangli He, Fadong Wu, Yiqun Zhou, Lianzhen Fu, Junxiang Zhao PII: S0169-555X(15)00028-8 DOI: doi: 10.1016/j.geomorph.2014.12.043 Reference: GEOMOR 5060 To appear in: Geomorphology Received date: 22 July 2014 Revised date: 22 December 2014 Accepted date: 24 December 2014 Please cite this article as: Jia, Liyun, Zhang, Xujiao, He, Zexin, He, Xiangli, Wu, Fadong, Zhou, Yiqun, Fu, Lianzhen, Zhao, Junxiang, Late Quaternary climatic and tectonic mechanisms driving river terrace development in an area of mountain uplift: A case study in the Langshan area, Inner Mongolia, northern China, Geomorphology (2015), doi: 10.1016/j.geomorph.2014.12.043 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. ACCEPTED MANUSCRIPT Late Quaternary climatic and tectonic mechanisms driving river terrace development in an area of mountain uplift: a case study in the Langshan area, Inner Mongolia, northern China Liyun Jiaa, Xujiao Zhang, a,*, Zexin Hea, Xiangli Hea, Fadong Wua, Yiqun Zhoua, Lianzhen Fua, Junxiang Zhaob a School of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China b The Institute of Crustal Dynamics, China Earthquake Administration, Beijing 100085, China *Corresponding author. -
Qinghai Information
Qinghai Information Overview Qinghai is located in northwestern China. The capital and largest city, Xining, lies roughly 50 miles (80 km) from the western border and approximately 30 miles (48 km) north of the Yellow River (Huang He). It is the nation’s 4th largest province with almost 279,000 square miles (more accurately 721,000 sq km). However, the total population places 30th in the country with only 5,390,000 people. The province earns its name from the salt lake Qinghai, located in the province’s northeast less than 100 miles (161 km) west of Xining. Qinghai Lake is the largest lake in China, the word literally meaning “blue sea”. Qinghai Geography Qinghai province is located on the northeastern part of the Tibetan Plateau of western China. The Altun Mountains run along the northwestern horizontal border with Xinjiang while the Hoh Xil Mountains run horizontally over the vertical portion of that border. The Qilian Mountains run along the northeastern border with Gansu. The Kunlun Mountains follow the horizontal border between Tibet (Xizang) and Xinjiang. The Kunlun Mountains gently slope southward as the move to central Qinghai where they are extended eastward by the Bayan Har Mountains. The Dangla Mountains start in Tibet south of the Kunlun Mountains to which they run parallel. The Ningjing Mountains start in the south of Qinghai and move southward into Tibet then Yunnan. The famous Yellow River commences in this Qinghai China. A small river flows from the west into Gyaring Lake where a small outlet carries water eastward to Ngoring Lake. The Yellow River then starts on the east side of Ngoring Lake. -
Simulating the Route of the Tang-Tibet Ancient Road for One Branch of the Silk Road Across the Qinghai-Tibet Plateau
RESEARCH ARTICLE Simulating the route of the Tang-Tibet Ancient Road for one branch of the Silk Road across the Qinghai-Tibet Plateau 1 1 2 3 1 Zhuoma Lancuo , Guangliang HouID *, Changjun Xu , Yuying Liu , Yan Zhu , Wen Wang4, Yongkun Zhang4 1 Key Laboratory of Physical Geography and Environmental Process, College of Geography, Qinghai Normal University, Xining, Qinghai Province, China, 2 Key Laboratory of Geomantic Technology and Application of Qinghai Province, Provincial geomantic Center of Qinghai, Xining, Qinghai Province, China, 3 Department of a1111111111 computer technology and application, Qinghai University, Xining, Qinghai Province, China, 4 State Key a1111111111 Laboratories of Plateau Ecology and Agriculture, Qinghai University, Xining, Qinghai Province, China a1111111111 a1111111111 * [email protected] a1111111111 Abstract As the only route formed in the inner Qinghai-Tibet plateau, the Tang-Tibet Ancient Road OPEN ACCESS promoted the extension of the Overland Silk Roads to the inner Qinghai-Tibet plateau. Con- Citation: Lancuo Z, Hou G, Xu C, Liu Y, Zhu Y, sidering the Complex geographical and environmental factors of inner Qinghai-Tibet Pla- Wang W, et al. (2019) Simulating the route of the teau, we constructed a weighted trade route network based on geographical integration Tang-Tibet Ancient Road for one branch of the Silk Road across the Qinghai-Tibet Plateau. PLoS ONE factors, and then adopted the principle of minimum cost and the shortest path on the net- 14(12): e0226970. https://doi.org/10.1371/journal. work to simulate the ancient Tang-Tibet Ancient Road. We then compared the locations of pone.0226970 known key points documented in the literature, and found a significant correspondence in Editor: Wenwu Tang, University of North Carolina the Qinghai section. -
Current Affairs
2020 CURRENT AFFAIRS WEEKLY PRACTICE QUESTIONS 13th January - 18th January 1. With reference to ‘Saksham’, consider the following statements: 1. It is a flagship Fuel Conservation mega campaign program. 2. It is under the aegis of the Ministry of New and Renewable Energy. Which of the statements given above is/are correct? (a) 1 only (b) 2 only (c) Both 1 and 2 (d) Neither 1 nor 2 Answer: (a) Explanation: • Saksham is a flagship Fuel Conservation mega campaign program aimed to create public awareness about fuel conservation by organising activities such as Cycle Day, Cyclothons. Hence, Statement 1 is correct. • It is under the aegis of the Ministry of Petroleum and Natural Gas. Hence, Statement 2 is not correct. 2. Which of the following beaches has/have been selected for ‘Blue Flag’ certification? 1. Miramar 2. Radhanagar 3. Rushikonda 4. Kappad Select the correct answer using code given below: (a) 1 and 2 only (b) 1 and 3 only (c) 2, 3 and 4 only (d) 1, 2, 3 and 4 Answer: (d) Explanation: • The ‘Blue Flag’ is an annual certification conferred on beaches as an indication of high environmental and quality standards. • The certification is awarded by the Denmark-based non-profit Foundation for Environmental Education (FEE). • The following beaches have been selected for Blue Flag Certification- o Shivrajpur (Gujarat) o Eden (Puducherry) o Bhogave (Maharashtra), o Mahabalipuram (Tamil Nadu) o Ghoghla (Diu) o Rushikonda (Andhra o Miramar (Goa) Pradesh) o Kasarkod and Padubidri o Golden (Odisha) (Karnataka) o Radhanagar (Andaman & o Kappad (Kerala) Nicobar Islands) Hence, Option (d) is correct. -
The Status of Glaciers in the Hindu Kush-Himalayan Region
The Status of Glaciers in the Hindu Kush-Himalayan Region The Status of Glaciers in the Hindu Kush-Himalayan Region Editors Samjwal Ratna Bajracharya Basanta Shrestha International Centre for Integrated Mountain Development, Kathmandu, Nepal, November 2011 Published by International Centre for Integrated Mountain Development GPO Box 3226, Kathmandu, Nepal Copyright © 2011 International Centre for Integrated Mountain Development (ICIMOD) All rights reserved. Published 2011 ISBN 978 92 9115 215 5 (printed) 978 92 9115 217 9 (electronic) LCCN 2011-312013 Printed and bound in Nepal by Sewa Printing Press, Kathmandu, Nepal Production team A Beatrice Murray (Consultant editor) Andrea Perlis (Senior editor) Dharma R Maharjan (Layout and design) Asha Kaji Thaku (Editorial assistant) Note This publication may be reproduced in whole or in part and in any form for educational or non-profit purposes without special permission from the copyright holder, provided acknowledgement of the source is made. ICIMOD would appreciate receiving a copy of any publication that uses this publication as a source. No use of this publication may be made for resale or for any other commercial purpose whatsoever without prior permission in writing from ICIMOD. The views and interpretations in this publication are those of the author(s). They are not attribuTable to ICIMOD and do not imply the expression of any opinion concerning the legal status of any country, territory, city or area of its authorities, or concerning the delimitation of its frontiers or boundaries, or the endorsement of any product. This publication is available in electronic form at www.icimod.org/publications Citation: Bajracharya, SR; Shrestha, B (eds) (2011) The status of glaciers in the Hindu Kush-Himalayan region. -
1 Desorption and Adsorption of Subsurface Shale Gas
Desorption and Adsorption of Subsurface Shale Gas DISSERTATION Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Fengyang Xiong, M.S. Graduate Program in School of Earth Sciences The Ohio State University 2020 Dissertation Committee: Joachim Moortgat, Advisor David Cole Tom Darrah Derek Sawyer 1 Copyrighted by Fengyang Xiong 2020 2 Abstract Storage of subsurface shale gas is challenging to characterize because nanoporous shales consist of almost all commonly observed minerals and develop a wide pore size distribution of 0.4 nm to 1 ��. Petroleum geoscientists classify the subsurface shale gas into three components: free gas in the pore space, adsorbed gas on mineral surfaces, and dissolved gas in formation fluids and organic matter. Based on investigations of shale gas plays in the United States, the adsorbed gas can contribute up to 85% of the total shale gas- in-place (GIP). And the storage of adsorbed shale gas, which mainly consists of methane, is determined by multiple geological properties, e.g., pore structure, mineral composition, temperature, pressure, and water saturation. These complex multivariate relationships complicate the assessment of subsurface adsorbed gas, which is still challenging for exploration geoscientists to quantitatively characterize. In this dissertation, we investigate the pore structure of shales, including the roles of organic matter, mainly insoluble kerogen, and inorganic minerals in pore development using Soxhlet extraction and low-pressure nitrogen and carbon dioxide adsorption isotherms. We then study the relationship between in-situ desorbed gas and mineralogy on large core samples. Most importantly, we propose an experimental procedure to estimate the pressure-dependent density of adsorption, which will significantly improve future estimates of adsorbed gas in shale GIP assessment. -
Review of Snow Cover Variation Over the Tibetan
Earth-Science Reviews 201 (2020) 103043 Contents lists available at ScienceDirect Earth-Science Reviews journal homepage: www.elsevier.com/locate/earscirev Invited review Review of snow cover variation over the Tibetan Plateau and its influence on the broad climate system T ⁎ Qinglong Youa, , Tao Wub, Liuchen Shenb, Nick Pepinc, Ling Zhangd, Zhihong Jiangd, Zhiwei Wua, Shichang Kange,f, Amir AghaKouchakg a Department of Atmospheric and Oceanic Sciences, Institute of Atmospheric Sciences, Fudan University, Shanghai 200438, China b College of Geography and Environment Sciences, Zhejiang Normal University, Jinhua 321004, China c Department of Geography, University of Portsmouth, PO1 3HE, UK d Key Laboratory of Meteorological Disaster, Ministry of Education (KLME), Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China e State Key Laboratory of Cryospheric Science, Chinese Academy of Sciences, Lanzhou 730000, China f CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing 100101, China g Department of Civil and Environmental Engineering, University of California, Irvine, CA 92697, United States of America ARTICLE INFO ABSTRACT Keywords: Variation in snow cover over the Tibetan Plateau (TP) is a key component of climate change and variability, and Tibetan Plateau critical for many hydrological and biological processes. This review first summarizes recent observed changes of Snow cover snow cover over the TP, including the relationship between the TP snow cover and that over Eurasia as a whole; Asian summer monsoon recent climatology and spatial patterns; inter-annual variability and trends; as well as projected changes in snow Climate change cover. Second, we discuss the physical causes and factors contributing to variations in snow cover over the TP, including precipitation, temperature, and synoptic forcing such as the Arctic Oscillation and the westerly jet, and large scale ocean-atmosphere oscillations such as the El Niño–Southern Oscillation (ESNO), the Indian Ocean dipole, and the southern annular mode. -
From Pekin to Sikkim.Pdf
m:!. i I n\- '/• < r9rrr •'' 1. \V" I "l. • .!>—<» . -X-, ..)i/=^..--v-.••vt^fjV' • V »v'- '^i-H.'.'f FROM PekintosikkiM THROUGHTHEORDOS,THE GOBI DESERT, AND TIBET FROM Pekinto sikkiM THROUGH THE ORDOS, THE GOBI DESERT, AND TIBET I/O DT. COUNT DE LESDAIN WITH MAPS AND ILLUSTRATIONS *'•- <*V] 'y.iA ASIAN EDUCATIONAL SERVICES NEW DELHI ★ MADRAS ★ 1995 FROM PEKIN TO SIKKIM THROUGH THE ORDOS, THE GOBI DESERT, AND TIBET By count DE LESDAIN WITH MAPS AND ILLUSTRATIONS LONDON John murray. albemarle street, w, ] 908 TO J. CLAUDE WHITE, Esq., C.I.E., POUTIOAL AGENT IN SIKKIM, BHUTAN, AND TIBET en souvenir fi'AMlTii PREFACE As the sheets of this book are finally passing through the press the author has been unex pectedly called away to South America, and has asked me to write a preface for it. The journey performed by the Comte and Comtesse de Lesdain was a remarkable one, all the more so from its havmg been their wedding tour. That a lady of nineteen should have faced and sustained the hardships of travel in a wild and unknown region described in these pages, can hardly feil to arouse a feeling of admiration and surprise in the mind of the reader. The journey took place in 1904 -1905, and lasted seventeen months. It "was undertaken to gratify our wish to cross coimtry hitiierto unknown, and if possible to increase the geo graphical knowledge of our day." Starting from Pekin, Count de Lesdain struck west to the Hoang-Ho, in order to explore the little known region of the Ordos Desert, v^iich lies in the almost rec^gular bend of that mighty vii viii PREFACE river. -
Variability in Snow Cover Phenology in China from 1952 to 2010
Hydrol. Earth Syst. Sci., 20, 755–770, 2016 www.hydrol-earth-syst-sci.net/20/755/2016/ doi:10.5194/hess-20-755-2016 © Author(s) 2016. CC Attribution 3.0 License. Variability in snow cover phenology in China from 1952 to 2010 Chang-Qing Ke1,2,6, Xiu-Cang Li3,4, Hongjie Xie5, Dong-Hui Ma1,6, Xun Liu1,2, and Cheng Kou1,2 1Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, China 2Key Laboratory for Satellite Mapping Technology and Applications of State Administration of Surveying, Mapping and Geoinformation of China, Nanjing University, Nanjing 210023, China 3National Climate Center, China Meteorological Administration, Beijing 100081, China 4Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Faculty of Geography and Remote Sensing, Nanjing University of Information Science & Technology, Nanjing 210044, China 5Department of Geological Sciences, University of Texas at San Antonio, Texas 78249, USA 6Collaborative Innovation Center of South China Sea Studies, Nanjing 210023, China Correspondence to: Chang-Qing Ke ([email protected]) Received: 12 February 2015 – Published in Hydrol. Earth Syst. Sci. Discuss.: 30 April 2015 Revised: 11 January 2016 – Accepted: 3 February 2016 – Published: 19 February 2016 Abstract. Daily snow observation data from 672 stations in 1 Introduction China, particularly the 296 stations with over 10 mean snow cover days (SCDs) in a year during the period of 1952–2010, are used in this study. We first examine spatiotemporal vari- Snow has a profound impact on the surficial and atmospheric ations and trends of SCDs, snow cover onset date (SCOD), thermal conditions, and is very sensitive to climatic and en- and snow cover end date (SCED).