• 제목/요약/키워드: Yellow River basin

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A Discussion on the Coupling of Traditional National Sporting Events and the Tourist Value

  • Han, Yahui
    • International Journal of Advanced Culture Technology
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    • 제10권4호
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    • pp.355-360
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    • 2022
  • The Yellow River, one of the longest rivers in the world and the second longest river in the north of China, enjoys the reputation of "Mother River". In recent years, more and more researches have pointed to the traditional culture of the Yellow River Basin. The traditional sports of the Yellow River basin belong to the ancient culture of the Yellow River basin. We assume the responsibility in protection and inheritance. This paper from the coupling of tourism and traditional sports to unfold the study by using the methods of literature and data, logical analysis, expert interview methods and so on: 1. The development of tourism leads to the development of Chinese traditional sports. 2. Tourism can make traditional sports get around and promote them as a kind of culture. 3. Let more people know, understand and learn traditional sports culture in a comfortable way, so as to pave the way for the inheritance of traditional sports. The research results of this paper can provide theoretical basis for more research on the development and inheritance of traditional culture in the Yellow River Basin.

Climate changes impact on water resourcesinYellowRiverBasin,China

  • Zhu, Yongnan;Lin, Zhaohui;Wang, Jianhua;Zhao, Yong
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2016년도 학술발표회
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    • pp.203-203
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    • 2016
  • The linkage between climate change and water security, i.e., the response of water resource to the future climate change, have been of great concern to both scientific community and policy makers. In this study, the impact of future climate on water resources in Yellow River Basin in North of China has been investigated using the Coupled Land surface and Hydrology Model System (CLHMS) and IPCC AR5 projected future climate change in the basin. Firstly, the performances of 14 IPCC AR5 models in reproducing the observed precipitation and temperature in China, especially in North of China, have been evaluated, and it's suggested most climate models do show systematic bias compared with the observation, however, CNRM-CM5、HadCM5 and IPSL-CM5 model are generally the best models among those 14 models. Taking the daily projection results from the CNRM-CM5, along with the bias-correction technique, the response of water resources in Yellow river basin to the future climate change in different emission scenarios have been investigated. All the simulation results indicate a reduction in water resources. The current situation of water shortage since 1980s will keep continue, the water resources reduction varies between 28 and 23% for RCP 2.6 and 4.5 scenarios. RCP 8.5 scenario simulation shows a decrease of water resources in the early and mid 21th century, but after 2080, with the increase of rainfall, the extreme flood events tends to increase.

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Land Cover Classification over Yellow River Basin using Land Cover Classification over Yellow River Basin using

  • Matsuoka, M.;Hayasaka, T.;Fukushima, Y.;Honda, Y.
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.511-512
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    • 2003
  • The Terra/MODIS data set over Yellow River Basin, China is generated for the purpose of an input parameter into the water resource management model, which has been developed in the Research Revolution 2002 (RR2002) project. This dataset is mainly utilized for the land cover classification and radiation budget analysis. In this paper, the outline of the dataset generation, and a simple land cover classification method, which will be developed to avoid the influence of cloud contamination and missing data, are introduced.

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Retrieval of Key Hydrological Parameters in the Yellow River Basin Using Remote Sensing Technique

  • Dong, Jiang;Jianhua, Wang;Xiaohuan, Yang;Naibin, Wang
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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    • pp.721-727
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    • 2002
  • Precipitation evapotranspiration and runoff are three key parameters of regional water balance. Problems exist in the traditional methods for calculating such factors , such as explaining of the geographic rationality of spatial interpolating methods and lacking of enough observation stations in many important area for bad natural conditions. With the development of modern spatial info-techniques, new efficient shifts arose for traditional studies. Guided by theories on energy flow and materials exchange within Soil-Atmosphere-Plant Continuant (SPAC), retrieval models of key hydrological parameters were established in the Yellow River basin using CMS-5 and FengYun-2 meteorological satellite data. Precipitation and evapotranspiration were then estimated: (1) Estimating tile amount of solar energy that is absorbed by the ground with surface reflectivity, which is measured in the visible wavelength band (VIS): (2) Assessing the partitioning of the absorbed energy between sensible and latent heat with the surface temperature, which was measured in the thermal infrared band (TIR), the latent heat representing the evapotranspiration of water; (3) Clouds are identified and cloud top levels are classified using both VIS and TIR data. Hereafter precipitation will be calculated pixel by pixel with retrieval model. Daily results are first obtained, which are then processed to decade, monthly and yearly products. Precipitation model has been has been and tested with ground truth data; meanwhile, the evapotranspiration result has been verified with Large Aperture Scintillometry (LAS) presented by Wageningen University of the Netherlands. Further studies may concentrate on the application of models, i.e., establish a hydrological model of the Yellow river basin to make the accurate estimation of river volume and even monitor the whole hydrological progress.

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하계망패턴의 특색으로 구분한 중국의 자연지역 (The Physical Region of China Divided by the Characteristics of Drainage Patterns.)

  • 황상일
    • 한국지역지리학회지
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    • 제2권1호
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    • pp.151-164
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    • 1996
  • 하계망은 유역분지의 지질, 지형, 기후 등의 영향을 예민하게 반영하면서 발달하므로, 하계망 패턴의 특징에 따른 지역구분은 자연환경을 종합적으로 이해하는데 중요한 의의를 갖는다. 본연구는 자연환경이 매우 다양한 중국을 대상으로 하계망특색을 통하여 자연지역구분을 시도하였다. 중국의 하계망은 크게 내륙하천유역분지와 의류하천유역분지로 나누어 지며, 내륙하천유역분지는 (1)난맥상(亂脈狀) 하폐망(deranged pattern)과 (2)구심상 하계 망으로, 의류하천유역분지는 (1)수지상 하재망, (2)평행상 하계망, (3)선상 하재망, (4)망상 하계망으로 나누어 진다. 내륙하천유역분지의 하계망형성에는 지형과 기후가 함께 영향을 미치고, 의류하천유역분지에서 나타나는 평행상 하계망은 주로 지반운동에 결과된 지질구조선, 선상 하계망은 황하의 범람으로 인한 유로변경, 망상 하계망은 인간의 활동 등과 같은 요인에 의한 것이다. 이들의 지역적 분포는 난맥상 하계망은 짱베이(장북(藏北))고원지역, 구심상 하계망은 건조분지지역, 평행상 하계망은 양쯔대지와 인도판 사이의 구조운동의 영향을 강하게 받고 있는 횡단산맥지역, 양쯔강 상류지역, 칭짱(청장(靑藏))고원 이남의 갠지즈(Ganges River)강 상류유역분지지역이며, 선상 하계망은 황하하류 선상지지역인 하이허(해하(海河)) 화이허(회하(淮河)강 유역분지지역이고, 망상 하계망은 양쯔강삼각주, 장쑤성북부해안 및 주장강(주강(珠江)) 삼각주지역이다. 이들 지역을 제외한 나머지 지역은 가장 일반적으로 볼 수 있는 수지상 하계망을 하고 있다.

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Type Selection of Sediment Desilting Machines in Yellow River Irrigation System

  • Wang, Huazhong;Dang, Yongliang
    • 한국농업기계학회:학술대회논문집
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    • 한국농업기계학회 1996년도 International Conference on Agricultural Machinery Engineering Proceedings
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    • pp.257-262
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    • 1996
  • Large amount of water is diverted annually for irrigation along the Yellow River. Owing to the tremendous sediment carried by the river , sediment deposits is an important problem in irrigation and drainage system. The sediment has to be taken out by machines from the irrigation system, otherwise water can not be available in the right place at the right time. In order to improve the sediment desilting efficiency, the sediments that settle in certain sites of a irrigation system must be removed by different desilting machines with special performance and working conditions. Those certain sites include : the diversion canal in the flood plain , the mouth of inlet, settling basin , irrigation and drainage system. In view of removal sediment above, the paper presents the ideas of type selection of desilting machines applied to certain sites. Proposals of making further improvement on performance for some desilting machines are also put forward.

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Numerical simulation of Hydrodynamics and water properties in the Yellow Sea. I. Climatological inter-annual variability

  • Kim, Chang-S.;Lim, Hak-Soo;Yoon, Jong-Joo;Chu, Peter-C.
    • Journal of the korean society of oceanography
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    • 제39권1호
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    • pp.72-95
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    • 2004
  • The Yellow Sea is characterized by relatively shallow water depth, varying range of tidal action and very complex coastal geometry such as islands, bays, peninsulas, tidal flats, shoals etc. The dynamic system is controlled by tides, regional winds, river discharge, and interaction with the Kuroshio. The circulation, water mass properties and their variability in the Yellow Sea are very complicated and still far from clear understanding. In this study, an effort to improve our understanding the dynamic feature of the Yellow Sea system was conducted using numerical simulation with the ROMS model, applying climatologic forcing such as winds, heat flux and fresh water precipitation. The inter-annual variability of general circulation and thermohaline structure throughout the year has been obtained, which has been compared with observational data sets. The simulated horizontal distribution and vertical cross-sectional structures of temperature and salinity show a good agreement with the observational data indicating significantly the water masses such as Yellow Sea Warm Water, Yellow Sea Bottom Cold Water, Changjiang River Diluted Water and other sporadically observed coastal waters around the Yellow Sea. The tidal effects on circulation and dynamic features such as coastal tidal fronts and coastal mixing are predominant in the Yellow Sea. Hence the tidal effects on those dynamic features are dealt in the accompanying paper (Kim et at., 2004). The ROMS model adopts curvilinear grid with horizontal resolution of 35 km and 20 vertical grid spacing confirming to relatively realistic bottom topography. The model was initialized with the LEVITUS climatologic data and forced by the monthly mean air-sea fluxes of momentum, heat and fresh water derived from COADS. On the open boundaries, climatological temperature and salinity are nudged every 20 days for data assimilation to stabilize the modeling implementation. This study demonstrates a Yellow Sea version of Atlantic Basin experiment conducted by Haidvogel et al. (2000) experiment that the ROMS simulates the dynamic variability of temperature, salinity, and velocity fields in the ocean. However the present study has been improved to deal with the large river system, open boundary nudging process and further with combination of the tidal forcing that is a significant feature in the Yellow Sea.

Chromosomal study of the lenoks, Brachymystax (Salmoniformes, Salmonidae) from the South of the Russian Far East

  • Kartavtseva, I.V.;Ginatulina, L.K.;Nemkova, G.A.;Shedko, S.V.
    • Journal of Species Research
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    • 제2권1호
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    • pp.91-98
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    • 2013
  • An investigation of the karyotypes of two species of the genus Brachymystax (B. lenok and B. tumensis) has been done for the Russia Primorye rivers running to the East Sea basin, and others belonging to Amur basin. Based on the analysis of two species chromosome characteristics, combined with original and literary data, four cytotypes have been described. One of these cytotypes (Cytotype I: 2n=90, NF=110-118) was the most common. This common cytotype belongs to B. tumensis from the rivers of the East Sea basin and B. lenok from the rivers of the Amur basin, i.e. extends to the zones of allopatry. In the rivers of the Amur river basin, in the zone of the sympatric habitat of two species, each taxon has karyotypes with different chromosome numbers, B. tumensis (2n=92) and B. lenok (2n=90). Because of the ability to determine a number of the chromosome arms for these two species, additional cytotype have been identified for B. tumensis: Cytotype II with 2n=92, NF=110-124 in the rivers basins of the Yellow sea and Amur river and for B. lenok three cytotypes: Cytotype I: 2n=90, NF=110 in the Amur river basin; Cytotype III with 2n=90, NF=106-126 in the Amur river basin and Cytotypes IV with 2n=92, NF=102 in the Baikal lake.