Xu Xinliang
Chinese Academy of Sciences
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Featured researches published by Xu Xinliang.
Journal of Geographical Sciences | 2010
Liu Jiyuan; Zhang Zengxiang; Xu Xinliang; Kuang Wenhui; Zhou Wancun; Zhang Shuwen; Li Rendong; Yan Changzhen; Yu Dongsheng; Wu Shixin; Jiang Nan
Land use and land cover change as the core of coupled human-environment systems has become a potential field of land change science (LCS) in the study of global environmental change. Based on remotely sensed data of land use change with a spatial resolution of 1 km × 1 km on national scale among every 5 years, this paper designed a new dynamic regionalization according to the comprehensive characteristics of land use change including regional differentiation, physical, economic, and macro-policy factors as well. Spatial pattern of land use change and its driving forces were investigated in China in the early 21st century. To sum up, land use change pattern of this period was characterized by rapid changes in the whole country. Over the agricultural zones, e.g., Huang-Huai-Hai Plain, the southeast coastal areas and Sichuan Basin, a great proportion of fine arable land were engrossed owing to considerable expansion of the built-up and residential areas, resulting in decrease of paddy land area in southern China. The development of oasis agriculture in Northwest China and the reclamation in Northeast China led to a slight increase in arable land area in northern China. Due to the “Grain for Green” policy, forest area was significantly increased in the middle and western developing regions, where the vegetation coverage was substantially enlarged, likewise. This paper argued the main driving forces as the implementation of the strategy on land use and regional development, such as policies of “Western Development”, “Revitalization of Northeast”, coupled with rapidly economic development during this period.
Science China-earth Sciences | 2005
Liu Jiyuan; Xu Xinliang; Zhuang Dafang; Gao Zhiqiang
Using meteorological data and RS dynamic land-use observation data set, the potential land productivity that is limited by solar radiation and temperature is estimated and the impacts of recent LUCC processes on it are analyzed in this paper. The results show that the influence of LUCC processes on potential land productivity change has extensive and unbalanced characteristics. It generally reduces the productivity in South China and increases it in North China, and the overall effect is increasing the total productivity by 26.22 million tons. The farmland reclamation and original farmlands losses are the primary causes that led potential land productivity to change. The reclamation mostly distributed in arable-pasture and arable-forest transitional zones and oasises in northwestern China has made total productivity increase by 83.35 million tons, accounting for 3.50% of the overall output. The losses of original farmlands driven by built-up areas invading and occupying arable land are mostly distributed in the regions which have rapid economic development, e.g. Huang-Huai-Hai plain, Yangtze River delta, Zhujiang delta, central part of Gansu, southeast coastal region, southeast of Sichuan Basin and Urumqi-Shihezi. It has led the total productivity to decrease 57.13 million tons, which is 2.40% of the overall output.
international geoscience and remote sensing symposium | 2003
Xu Xinliang; Zhuang Dafang
Automated extraction the flow network and drainages is a premise of matching the observation datum and developing water cycle information system. This paper put forward a method that automatically extract drainages in China from DEM data. This method used DEM data of 1:250,000 scale. Firstly divided the whole country into 9 parts based on the drainages that extracted from 1KM DEM data; secondly filled sinks and removed peaks in each part and identified the flow direction of each cell using flow direction function, then calculated the flow accumulation of each cell according to flow direction and identified the flow network by setting the threshold value; finally used the watershed0 function to find out all the sub-drainages based on the flow networks and the watershed outlet. On the other hand, this article listed the AML code for automated extraction drainages from DEM data. Additionally the author checked the result of automated extraction using some surveyed data in Haihe drainage area. Through analysis on the comparison between the flow networks and drainage area that extracted using this method and surveyed data, a conclusion can be draw that this method is effective and efficient.
Journal of Geographical Sciences | 2016
Shi Wenjiao; Hu Yunfeng; Shi Xiaoli; Wang Zong; Yan Huimin; Xu Ziwei; Ren Bo; Kuang Wenhui; Xu Xinliang; Cheng Weiming; Chen Yan; Wu Dongbo
Strategic transformation of regionalization for agricultural comprehensive development (ACD) was presented by the Ministry of Finance of the People’s Republic of China (MOF) in 2014. The regionalization is the premise and basis of the sustainable development and improved competitiveness for agriculture. Based on the environmental resources related to agriculture, such as cropland, climate, water resources, terrain, geomorphology, patterns of the ACD projects, distribution of ecological planning, etc., we devised 13 indices using the geographic comprehensive regionalization method. The indices took into account a combination of dynamic and static, qualitative and quantitative, as well as agricultural and ecological factors. The strategic transformation of regionalization for the ACD in Ningxia Hui Autonomous Region of China was performed; seven types were included: prioritized regions, prioritized and restricted regions, protected regions, protected and restricted regions, restricted and prioritized regions, restricted and protected regions, and restricted regions. A further 24 subtypes were used based on locations and ecological zones. The regionalization results showed that prioritized regions were mainly in northern Ningxia, the most suitable area for agriculture. The protected and restricted regions were in central and southern Ningxia. In the central part, drought was the limiting factor for agriculture, and water conservation projects there should be supported. The ecological environment is fragile in southern Ningxia, so there is a need for ecologically sound agriculture to be developed in this region. Such regionalization could achieve two goals, namely agricultural conservation and eco-environmental protection. It was performed following the requirement for scientific regionalization to include three types of regions (prioritized regions, protected regions, and restricted regions), and was applied at the township scale in a provincial or autonomous region for the first time. The results provide both guidance for the strategic transformation of the ACD in Ningxia, and a reference for similar work in other provinces.
international geoscience and remote sensing symposium | 2003
Xu Xinliang; Liu Jiyuan
This article analyzed land-use change from 1985,1995 and 2000 Landsat TM images based on RS and GIS technology. The author studied the spatial-temporal characteristics of land-use change in Hainan island according to land-use conversion matrix , land-use dynamic degree model and land-use relative change rate model. It was found that during 10 years from 1985 to 1995, the arable land area decreased, and forest area increased. During the latest 5 years, the scope and depth of land-use change exceeded that of previous period and arable land, built-up areas increased, and unused land area decreased. From the point of view of spatial patterns, the change rate of construction land was higher than others in eastern plain area, water area change was obvious in western coastal area and cultivated land change was primary in middle mountain area. On the other hand, the author described the land use change process affected by socio-economic policies.
Archive | 2008
Liu Jiyuan; Xu Xinliang; Shao Quanqin
Transactions of the Chinese Society of Agricultural Engineering | 2013
Wu Li; Hou Xiyong; Xu Xinliang; Di Xianghong
Progress in geography | 2010
Xu Xinliang; Liu Jiyuan; Cao Mingkui; Zhang Shuwen
Chinese Geographical Science | 2002
Xu Xinliang; Zeng Lan; Zhuang Dafang
Chinese Geographical Science | 1999
Bo Li-qun; Hua Ren-kui; Xu Xinliang; Zhou Demin