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Featured researches published by Chen Rensheng.


Journal of Geographical Sciences | 2003

Impact of climate change and variability on water resources in heihe River Basin

Zhang Jishi; Kang Ersi; Lan Yong-chao; Chen Rensheng

Studies indicate that the climate has experienced a dramatic change in the Heihe River Basin with scope of temperature rise reaching 0.5–l.l°C in the 1990s compared to the mean value of the period 1960–1990, precipitation increased 18.5 mm in the 1990s compared to the 1950s, and 6.5 mm in the 1990s compared to the mean value of the period 1960–1990, water resources decreased 2.6 × 108 m3 in the 1990s compared to the 1950s, and 0.4 × 108 m3 in the 1990s compared to the mean value of the period 1960–1990. These changes have exerted a greater effect on the local environment and socio-economy, and also made the condition worsening in water resources utilizations in the Heihe Rver Basin.


Journal of Geographical Sciences | 2003

A distributed runoff model for inland mountainous river basin of Northwest China

Chen Rensheng; Kang Ersi; Yang Jianping; Zhang Jishi

In order to predict the futuristic runoff under global warming, and to approach to the effects of vegetation on the ecological environment of the inland river mountainous watershed of Northwest China, the authors use the routine hydrometric data to create a distributed monthly model with some conceptual parameters, coupled with GIS and RS tools and data. The model takes sub-basin as the minimal confluent unit, divides the main soils of the basin into 3 layers, and identifies the vegetation types as forest and pasture. The data used in the model are precipitation, air temperature, runoff, soil weight water content, soil depth, soil bulk density, soil porosity, land cover, etc. The model holds that if the water amount is greater than the water content capacity, there will be surface runoff. The actual evaporation is proportional to the product of the potential evaporation and soil volume water content. The studied basin is Heihe mainstream mountainous basin, with a drainage area of 10,009 km2. The data used in this simulation are from Jan. 1980 to Dec. 1995, and the first 10 years’ data are used to simulate, while the last 5 years’ data are used to calibrate. For the simulation process, the Nash-Sutcliffe Equation, Balance Error and Explained Variance is 0.8681, 5.4008 and 0.8718 respectively, while for the calibration process, 0.8799, -0.5974 and 0.8800 respectively. The model results show that the futuristic runoff of Heihe river basin will increase a little. The snowmelt, glacier meltwater and the evaportranspiration will increase. The air temperature increment will make the permanent snow and glacier area diminish, and the snowline will rise. The vegetation, especially the forest in Heihe mountainous watershed, could lead to the evapotranspiration decrease of the watershed, adjust the runoff process, and increase the soil water content.


Journal of Geographical Sciences | 2003

Eco-environment range in the source regions of the Yangtze and Yellow rivers

Ding Yongjian; Yang Jianping; Liu Shiyin; Chen Rensheng; Wang Genxu; Shen Yong-ping; Wang Jian; Xie Changwei; Zhang Shiqing

Based on geographical and hydrological extents delimited, four principles are identified, as the bases for delineating the ranges of the source regions of the Yangtze and Yellow rivers in the paper. According to the comprehensive analysis of topographical characteristics, climate conditions, vegetation distribution and hydrological features, the source region ranges for eco-environmental study are defined. The eastern boundary point is Dari hydrological station in the upper reach of the Yellow River. The watershed above Dari hydrological station is the source region of the Yellow River which drains an area of 4.49 x 104 km2. Natural environment is characterized by the major topographical types of plateau lakes and marshland, gentle landforms, alpine cold semi-arid climate, and steppe and meadow vegetation in the source region of the Yellow River. The eastern boundary point is the convergent site of the Nieqiaqu and the Tongtian River in the upstream of the Yangtze River. The watershed above the convergent site is the source region of the Yangtze River, with a watershed area of 12.24 x104 km2. Hills and alpine plain topography, gentle terrain, alpine cold arid and semi-arid climate, and alpine cold grassland and meadow are natural conditions in the source region of the Yangtze River.


Journal of Geographical Sciences | 2002

Interdecadal fluctuation of dry and wet climate boundaries in China in the past 50 years

Yang Jianping; Ding Yongjian; Chen Rensheng; Liu Lianyou

Based on the mean yearly precipitation and the total yearly evaporation data of 295 meteorological stations in China in 1951–1999, the aridity index is calculated in this paper. According to the aridity index, the climatic regions in China are classified into three types, namely, arid region, semi-arid region and humid region. Dry and wet climate boundaries in China fluctuate markedly and differentiate greatly in each region in the past 50 years. The fluctuation amplitudes are 20–400 km in Northeast China, 40–400 km in North China, 30–350 km in the eastern part of Northwest China and 40–370 km in Southwest China. Before the 1980s (including 1980), the climate tended to be dry in Northeast China and North China, to be wet in the eastern part of Northwest China and very wet in Southwest China. Since the 1990s there have been dry signs in Southwest China, the eastern part of Northwest China and North China. The climate becomes wetter in Northeast China. Semi-arid region is the transitional zone between humid and arid regions, the monsoon edge belt in China, and the susceptible region of environmental evolution. At the end of the 1960s dry and wet climate in China witnessed abrupt changes, changing wetness into dryness. Dry and wet climate boundaries show the fluctuation characteristics of the whole shifts and the opposite fluctuations of eastward, westward, southward and northward directions. The fluctuations of climatic boundaries and the dry and wet variations of climate have distinctive interdecadal features.


Journal of Geographical Sciences | 2001

Runoff of the upper Yellow River above Tangnag: characteristics, evolution and changing trends

Lan Yong-chao; Kang Ersi; Ma Quan-jie; Zhang Jishi; Chen Rensheng

Runoff and its evolution, based on hydrometeorological data from surface measurement stations, are analyzed for the upper reaches of the Yellow River above Tangnag. Some mathematical statistical models, for example, Period Extrapolation-Gradual Regression Model, Grey Topology Forecast Model and Box-Jinkins Model, are applied in predicting changing trends on the runoff. The analysis indicates that the runoff volume in the upper Yellow River above Tangnag is ending a period of extended minimum flows. Increasing runoff is expected in the coming years.


Energy Conversion and Management | 2006

Estimating daily global radiation using two types of revised models in China

Chen Rensheng; Lu Shihua; Kang Ersi; Yang Jianping; Ji Xibin


Journal of Glaciology and Geocryology | 2004

Climatic Features of Eco-Environment Change in the Source Regions of the Yangtze and Yellow Rivers in Recent 40 Years

Chen Rensheng


Journal of Glaciology | 2003

Causes of glacier change in the source regions of the Yangtze and Yellow rivers on the Tibetan Plateau

Yang Jianping; Ding Yongjian; Chen Rensheng; Liu Shiyin; Lu Anxin


Renewable Energy | 2004

Estimation of horizontal diffuse solar radiation with measured daily data in China

Chen Rensheng; Kang Ersi; Yang Jianping; Lu Shihua; Zhao Wen-zhi; Ding Yongjian


Advances in Earth Science | 2008

Some Problems Facing Hydrological and Ecological Researches in the Mountain Watershed at the Upper Stream of An Inland River Basin

Kang Ersi; Zhang Zhi-hui; Jin Bowen; Ji Xibin; Chen Rensheng

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Song Yaoxuan

Chinese Academy of Sciences

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Han Chuntan

Chinese Academy of Sciences

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Kang Ersi

Chinese Academy of Sciences

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Yang Jianping

Chinese Academy of Sciences

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Ding Yongjian

Chinese Academy of Sciences

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Zhang Jishi

Chinese Academy of Sciences

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Ji Xibin

Chinese Academy of Sciences

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Lan Yong-chao

Chinese Academy of Sciences

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Liu Shiyin

Chinese Academy of Sciences

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Wang Jian

Chinese Academy of Sciences

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