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1.
ZHAOXin-yi WANJun WUXiu-qin 《中国地理科学(英文版)》2002,12(4):329-332
Based on the monthly mean temperature, the changing processes and tendencies of temperature during1951 -2000 in Jilin Province, which is in Northeast China, are analyzed. And the spatial characteristics of the changeare submitted. In the past 50 years the temperature of Jilin Province was increasing just like the other areas in the world.Since 1990, the increasing of temperature has been more obvious than that in the previous 40a. From the west to theeast, the province has larger temperature rising. According to Principal Component Analysis (PCA) of temperature field,Jilin Province is divided into 3 regions and the degree of becoming warmer is different from region to region. During theperiod of 1951 to 2000, the annual temperature in Jilin Province has been rising, so has the temperature in winter andsummer. The average temperature in the 1990s was 0. 5 - 2. 0℃ higher than that in the 1950s. From the west to theeast, the increasing of temperature became smaller. 相似文献
2.
Urbanization is a complex process that covers a wide range of topics, of which population, industry and land urbanization are three important aspects. Jilin Province is an important agricultural province in China. The contradiction between population, industry and land urbanization is especially prominent here, and its coupling development is of great practical significance. In this paper, the coupling degree of population-industry-land urbanization in Jilin Province in 1990, 2000 and 2010 is measured by coupling mode. The spatial pattern of the coupling degree is analyzed by trend surface analysis and global and local spatial autocorrelation. The influence factors and their spatial differentiation are discussed using multiple linear regression (MLR) model and geographic weighted regression (GWR) model. The results show that: 1) the coupling degree of population-industry-land urbanization in Jilin Province is at a low level. Judging from the change of time scale, the urbanization of most research units is becoming more and more coordinated. From the comparison of spatial scales, there is significant spatial difference in the research units of different administrative levels. 2) Judging from the global change trend, the coupling degree of population-industry-land urbanization in the central region is higher than that in western and eastern regions. The coordination of urbanization in the central region is relatively good, and the distribution of the cold and hot spots is basically the same as that overall. 3) The spatial pattern of the coupling degree is related to the cold and hot spot distribution of the influence coefficient of urban population density and per capita urban construction land. The variation of the coupling degree spatial pattern is synchronous with the spatial change of the urban population density influence coefficient. 4) The degree of agglomeration of the urban population is the main factor promoting the coupling pattern of population-industry-land urbanization in Jilin Province, and the extent of its influence is gradually increasing. In addition, the level of city administrative, the efficiency of urban expansion and the capacity of market consumption also have an important influence on the coupling pattern. 相似文献
3.
天文辐射是地表实际入射太阳辐射的基础背景,也是辐射计算、太阳能资源评估和农业生产潜力估算等方面的重要天文参量。本文基于分辨率为30 m的福建省数字高程模型,使用MATLAB软件提供的并行计算框架模拟了起伏地形下福建省天文辐射空间分布,定量地分析了坡度坡向对天文辐射分布的影响规律,同时探讨数字高程模型对天文辐射产生的空间尺度效应。结果表明：福建省年天文辐射量大部分处于10 000~13 000 MJ/m2,呈现东南沿海向中西部递减的分布特征;不同季节的天文辐射分布受纬度和坡度坡向的影响具有明显的差异性,呈现季节分布的不对称性;不同坡度和坡向对天文辐射的影响与福建省总体上西北高东南低地势特征相吻合,天文辐射量随坡度增大而减小,东、东南和南坡向是天文辐射分布较集中的区域,总体上呈现山脊多、山谷少、阳坡多、阴坡少的地域差异性;数字高程模型的空间尺度效应在起伏较大的福建中西部丘陵地貌表现更加明显,该区域的天文辐射对分辨率的变化更加敏感。 相似文献
4.
全球气候的不断变化使得生物生境受到极大影响。气温作为最基本的气候要素,其变化迁移会胁迫生物对此做出响应,造成生物群落的迁徙。气温变化速度将气温看作物质的运动,能够直观地表示气温时空变化特征,对研究生物分布地理界限变化具有重要的指导意义。本文利用1961-2013年的全国每月平均温度数据集,分析了过去50多年中国东北与华北地区之间气温变化速度的区域差异。结果表明：东北与华北两地区整体气温变化速度均值为5.60 km/year,速度范围主要集中于0~9 km/year之间,约占总数的90%。东北地区气温变化速度均值大于华北地区。其中,东北速度均值为5.85 km/year,华北为5.41 km/year。从区域内部来看,东北地区气温变化速度整体较高,三省中黑龙江与吉林速度较高,辽宁省速度变化相对较小。华北气温变化速度高值区域主要分布在内蒙古高原与河北、天津的小部分地区,其他地区的气温变化速度则相对较小。 相似文献
5.
基于植被状态指数的云南省农业干旱状况时空分析 总被引：2，自引：0，他引：2
本文首先计算了云南省2004-2013年农业干旱指数VCI,然后使用Pearson相关系数评价降水与VCI的相关性,基于VCI识别云南省2004-2013年农业干旱事件,最后,与SPEI气象干旱识别结果进行对比分析,在VCI农业干旱识别的基础上,使用干旱频率和干旱面积占比指标分析了云南省2004-2013年农业干旱时空特征。结果表明：降水只是影响VCI指数的关键因素之一;VCI和SPEI指数均能够较好对干旱进行监测并识别典型干旱,但两者的识别结果存在差异;云南省农业干旱频率在春冬两季较高,夏季较低,秋季介于夏季和春冬季之间;春夏冬三季农业干旱频率空间分布较为均匀,秋季农业干旱频率呈南低北高的分布态势,整体上北部干旱频率高于南部;2004-2013年云南省整体干旱面积占比呈现先减小后增加再波动的趋势,春冬两季整体干旱面积占比最高,分别为46.63%和47.18%,呈现下降趋势,夏季整体干旱面积占比最低,为43.81%,呈现上升趋势,秋季整体干旱面积占比介于冬春季和夏季之间,为45.74%,呈现下降趋势。总之,云南省农业干旱春冬易发性最高,影响范围最大,夏季易发性最低,影响范围最小。 相似文献
6.
JIANGHui-ming GULi-li 《中国地理科学(英文版)》2003,13(4):378-382
Jilin Province is one of the main grain-producing provinces of China, which has dominant position in maize production, by the view of its advantages in policy, location, breed and market. And after entering WTO,some measures have been taken to enhance maize competitive ability. But there are some difficulties in concentrating production to maize advantaged areas. This paper expounds the basis that Jilin Province becomes the advantage area of maize, analyzes the problems and puts forward the supporting policy. Some strategic measures are proposed,as developing comparable advantages, carrying out the strategy of un-equilibrium development and cultivating advantaged product areas of maize to rapidly improve the international competitive ability and productivity of maize in Jilin Province, cast the agricultural predicament off and promote the agricultural development into a new stage. 相似文献
7.
WiththedevelopmentofagricultureandChina'sentryintoWTO,thesituationofsupplyanddemandinmaizemarkethaschangedgreatly.Facingtherelativesurplusofmaizeandtheformationofbuyer'smarket,weshouldfullydeveloprelativeadvantages,carryouttheunevenstrategyofsupportingthesuperior inmaizeproduction andcultivateadvantagedareasofmaize.Theabovestrategicmeasurescanrapidlyim-provetheinternationally competitiveabilityandpro-ductivityofmaizeinJilinProvince,getoutofthea-griculturalpredicamentandmaketheagriculturalde-… 相似文献
8.
Jilin Province is one of the main grain-producing provinces of China, which has dominant position in maize production, by the view of its advantages in policy, location, breed and market. And after entering WTO,some measures have been taken to enhance maize competitive ability. But there are some difficulties in concentrating production to maize advantaged areas. This paper expounds the basis that Jilin Province becomes the advantage area of maize, analyzes the problems and puts forward the supporting policy. Some strategic measures are proposed,as developing comparable advantages, carrying out the strategy of un-equilibrium development and cultivating advantaged product areas of maize to rapidly improve the international competitive ability and productivity of maize in Jilin Province, cast the agricultural predicament off and promote the agricultural development into a new stage. 相似文献
9.
黄河三角洲土地生产潜力的GIS评价 总被引：8，自引：0，他引：8
黄河三角洲可持续发展信息系统数据库的支持下,以黄河三角洲为实验区,考虑影响土地生产力水平的多种因素,确定合理的数学模型,进行土地景观单元的土地生产潜力定量化评价计算。同时,分析了黄河三角洲土地生产潜力的数值分布和空间分布特征以及分级统计和制图,并提出了提高黄河三角洲土地生产潜力的相应建议。 相似文献
10.
Drought is one of the major natural disasters causing huge agricultural losses annually. Regional agricultural drought risk
assessment has great significance for reducing regional disaster and agricultural drought losses. Based on the fuzzy characteristics
of agricultural drought risk, variable fuzzy sets model was used for comprehensively assessing agricultural drought risk of
Liaoning Province in China. A multi-layers and multi-indices assessment model was established according to variable fuzzy
sets theory, and agricultural drought risk of all 14 prefecture-level cities was respectively estimated in terms of dangerousness,
vulnerability, exposure and drought-resistibility. By calculating the combination weights of four drought risk factors, agricultural
drought risk grade of each city was obtained. Based on the assessment results, the spatial distribution maps of agricultural
drought risk were drawn. The results shows that eastern cities have lower drought dangerousness than western cities in Liaoning
Province totally. Most cities are located in low drought vulnerability region and high drought exposure region. Because of
frequent and severe drought since 2000, most cities are located in lower drought-resistibility region. Comprehensive agricultural
drought risk presents apparent spatial characteristics, escalating from the east to the west. Drought dangerousness is the
most important factor influencing comprehensive agricultural drought risk. Through the spatial distribution maps of drought
risk, decision makers could find out drought situation and make decisions on drought resistance conveniently. 相似文献
11.
ZHANG Hui-min JIANG Hui-ming 《中国地理科学(英文版)》2005,15(3):281-287
With the rapid development of agricultural informalization in the world, the demand of agricultural information has been a focus in the international agriculture and information fields. Based on the investigation, this paper presented the four characteristics of the demand of agricultural information in China, includingregionality, seasonality, great potential demand and variation in kind and level. The factors infuencing the demand of agricultural information were analyzed by the Optimized Less Square （OLS） method. The result shows that, of all factors influcing agricultural information demand, the most important one is economy, the second is facility of information pass, and knowledge and education of user, credit of agricultural information service system and production situation follow. Taking Jilin Province as an example, this article also elaborated the agricultural information demand status, and deduced the regression model of agricultural information demand and verified it by the survey in rural Jilin. 相似文献
12.
Primary productivity of ecosystem is important indicator about ecological assessment. Remote sensing technology has been used to monitor net primary productivity （NPP） of ecological system for several years. In this paper, the remotely sensed NPP simulation model of alpine vegetation in Qinghai Province of Tibet Plateau was set up based on the theory of light use efficiency. Firstly a new approach based on mixed pixels and Support Vector Machine （SVM） algorithm were used to correct simulated NPP values derived from Moderate Resolution Imaging Spectroradiometer （MODIS） data. Finally, spatial distribution and monthly variation characteristics of NPP in Qinghai Province detail. The result showed in 2006 were analyzed in that NPP of vegetation in Qinghai Province in 2006 ranged from o to 422 gC/m2/a and the average NPP was 151 gC/m2/a. NPP gradually increased from northwest to southeast. NPP of different vegetation types were obviously different. The average NPP of broad-leaved forest was the largest （314 gC/m2/a）, and sparse shrub was the smallest （101 gC/m2/a）. NPP in Qinghai Province significantly changed with seasonal variation. The accumulation of NPP was primarily in the period （from April to September） with better moist and heat conditions. In July, the average NPP of vegetation reached the maximum value （43 gC/m2）. In our model, the advantage of traditional LUE models was adopted, and our study fully considered typicalcharacteristics of alpine vegetation light use efficiency and environmental factors in the study area. Alpine vegetation is the most important ecological resource of Tibet Plateau, exactly monitoring its NPP value by remote sensing is an effective protection measure. 相似文献
13.
This paper constructed a carbon emission identity based on five factors: industrial activity, industrial structure, energy intensity, energy mix and carbon emission parameter, and analyzed manufacturing carbon emission trends in Jilin Province at subdivided industrial level through Log-Mean Divisia Index(LMDI) method. Results showed that manufacturing carbon emissions of Jilin Province increased 1.304 × 107 t by 66% between 2004 and 2010. However, 2012 was a remarkable year in which carbon emissions decreased compared with 2011, the first fall since 2004. Industrial activity was the most important factor for the increase of carbon emissions, while energy intensity had the greatest impact on inhibiting carbon emission growth. Despite the impact of industrial structure on carbon emissions fluctuated, its overall trend inhibited carbon emission growth. Further, influences of industrial structure became gradually stronger and surpassed energy intensity in the period 2009–2010. These results conclude that reducing energy intensity is still the main way for carbon emission reduction in Jilin Province, but industrial structure can not be ignored and it has great potential. Based on the analyses, the way of manufacturing industrial structure adjustment for Jilin Province is put forward. 相似文献
14.
In this paper,spatial correlation of crop yield in the middle and west of Jilin province is analyzed by us-ing the method of geostatistics swmivarivogram,taking the NDVI of NOAA/AVHRR spectrum data as the regionalized vari-able,aiming to provide theory and practical basis for field sampling of crop yield estimation using remote sensing.The ratio of nugget variance and sill of semivariograms are 21.1% and9.7% in the west and middle regions in Jilin Province respectively.This shows that the crop yields are spatially correlated.The degree and range of correlation are far different in the different situations.In the west test region,the range is 49.9km and the sill is 0.00019 .In the middle test re-gion,the range is 16.5km and the sill is 0.00453.The dissimilarity in the western test region is larger than that in the middle one.The range in which the correlation existed of the former is far larger than the later.Different characteristics of spatial correlation of crop yield are decided by the environmental factors.Samples for crop yield estimation should be extracted according to the characteristic of spatial distribution of crop yield to promote the efficiency of sampling. 相似文献
15.
Spatial effect of mineral resources exploitation on urbanization: A case study of Tarim River Basin, Xinjiang, China 总被引：1，自引：0，他引：1
Mineral resources exploitation significantly affects the spatial structure and evolutive trend of urbanization in arid areas.In this study,the spatial autocorrelation method and the spatial computation model were used to investigate the spatial impacts of mineral resources excavation and processing on comprehensive level of urbanization in the Tarim River Basin,Xinjiang,China for the years of 2000,2006 and 2008.The results are as follows:1)There was a spatial correlation of the development of mineral resources industry and the comprehensive level of urbanization in 2006 and 2008,with the spatial concentration trend rising significantly in 2006 and decreasing in 2008.2)The patterns of local spatial concentration of mineral resources industry and of the comprehensive level of urbanization were relatively stable,and the two patterns showed signs of spatial correlationship.The higher was the degree of the concentration of mineral resources industry,the stronger was its impact on the spatial clustering of urbanization.3)In 2000, mineral resources excavation and processing had a significant positive impact on the comprehensive level of urbanization in the region but not in its adjacent regions.However,in 2008,mineral resources excavation and processing significantly raised the comprehensive level of urbanization not only in the region but also in its neighboring regions.This research demonstrates that the development of mineral resources industry can strongly affect the trends and spatial patterns of urbanization. 相似文献
16.
Spatial Distribution and Risk Assessment of Heavy Metals in Paddy Soils of Yongshuyu Irrigation Area from Songhua River Basin,Northeast China 总被引：1，自引：0，他引：1
There is an increasing concern for potentially hazardous metals pollution, which can threaten crops production and human health. In this study, the spatial distribution and environmental risks of eight heavy metals in surface soil samples collected from the paddy fields in Yongshuyu irrigation area, Northeast China were investigated. The mean concentrations of Pb, Cr, Cu, Ni, Zn, Cd, Hg and As were 34.6 ± 4.67, 82.8 ± 9.51, 17.3 ± 4.09, 21.2 ± 12.0, 88.6 ± 17.9, 0.18 ± 0.15, 0.22 ± 0.07 and 8.77 ± 2.47 mg/kg, respectively, which were slightly higher than their corresponding background values of Jilin Province, indicating enrichment of these metals in the paddy soils, especially for Ni, Cd and Hg. The spatial distribution of heavy metals was closely correlated with local anthropogenic activities, such as agricultural production, mining and transportation. The hot-spot areas of As and Cd were mainly concentrated in the up-midstream where were associated with agricultural activities. Cr and Cu showed similar spatial distributions with hot-spot areas distributed the whole irrigation area uniformly. Ni was mainly distributed in the downstream where Ni quarries concentrated, while the spatial distribution patterns of Hg was mainly located in the upstream and downstream where the soil was significantly influenced by irrigation and coal mining emission. The spatial distributions of Pb and Zn were mainly concentrated along the highway side. The pollution levels of Yongshuyu irrigation area were estimated through index of geo-accumulation(Igeo), Nemerow integrated pollution index(NIPI) and potential ecological risk index(PERI). The results showed that Cd and Hg were the main pollutants in the study area. Health risk assessment results indicated that children were in higher non-carcinogenic and carcinogenic risks than adults with the carcinogenic metal of As. Ingestion was the main exposure pathway to non-carcinogenic and carcinogenic risk for both adults and children. Principal component analysis(PCA) indicated that Cr and Cu were mainly from parent materials, while Cd and As were mainly affected by agricultural activities. Pb and Zn were controlled by traffic activities, and the accumulations of Ni and Hg were associated with mining activities. This study would be valuable for preventing heavy metals inputs and safety in rice production of the Songhua river basin. 相似文献
17.
基于脆弱性视角探究乡村地域系统可持续发展情况与集聚特征的空间关联效应,对推进美丽乡村建设具有重要意义。以SPOT2/4全色和Landsat TM卫星遥感融合影像为主要数据源,解译校正得到2016年江苏省乡村聚落斑块。在利用平均最近邻距离指数、核密度估计和标准差椭圆方法明确江苏省乡村集聚分布特征的同时,从资源、经济和社会脆弱性视角构建乡村脆弱性综合评价模型,进一步探讨县域乡村空间集聚特征与脆弱性发展程度的关联规律。结果表明：① 江苏省乡村地域自内核向外缘分布密度逐渐递减,苏北地区中部、苏南和苏中地区毗邻处乡村聚落密集分布,整体空间异质性和集聚形态的方向性特征明显;② 江苏省县域乡村脆弱程度存在地域分区不均衡现象,子系统相关性较弱,空间耦合特征尚不明显;③ 资源脆弱性子系统与经济、社会脆弱性之间均存在显著负相关关系,是当前江苏省县域乡村发展的薄弱环节;④ 江苏省县域乡村资源、经济和社会单一脆弱子系统集聚分布特征明显,综合脆弱性与集聚特征并未实现空间良性共振。 相似文献
18.
以ArcGIS Analyst为支撑,80个气象站点观测的1997-2006年的旬平均气温为插值变量,利用高程、坡向等影响气温空间分异的局地因素作为协同变量,采用协同克里格(CoKriging)方法,考虑旬平均气温的自相关性以及旬平均气温与高程、坡向空间上的关联性,通过数据的检查、误差拟合、精度评价和模型比较,对黑龙江省旬平均气温进行空间插值,求得全省1km×1km的各旬平均气温表面数据。36旬气温插值结果的均误差、均方根误差、平均标准差、标准化均误差和均方根标准差的平均数分别为0.0024℃、0.774℃、0.682℃、0.0006和1.124。由旬平均气温插值结果叠加计算出月、年平均气温表面数据。利用插值计算结果和气象站点观测的数据,分析旬、月和年平均气温的时空分异特征,得出空间上东南部地区分异较小,其他地区分异较大时间上11-13、12-14、19-21等旬期平均气温有平稳下降趋势,15-17、26-28和27-29等旬期平均气温有平稳升高趋势。7月气温有稍许下降趋势,9月和11月的平均气温稍有上升趋势,5-9月平均气温升高约1℃。年平均气温以2.9℃为均值在2.5~3.3℃之间波动,略有升高但无明显上升趋势。春季之交一些旬期平均气温变化率降低趋稳,夏秋之交一些旬期平均气温变化率升高,实际物候有向后延迟的迹象。研究结果为气温变化监测、农业区划、土地生产潜力计算和千亿斤粮食背景下作物估产等相关研究奠定基础。 相似文献
19.
ZHU Jin-hua 《中国地理科学(英文版)》2001,11(3):278-282
１ＩＮＴＲＯＤＵＣＴＩＯＮＷｉｔｈｔｈｅｒａｐｉｄｄｅｖｅｌｏｐｍｅｎｔａｎｄａｐｐｌｉｃａｔｉｏｎｏｆｎｅｗｔｅｃｈｎｉｑｕｅｓｓｕｃｈａｓｃｏｍｐｕｔｅｒｃａｒｔｏｇｒａｐｈｙｈａｓｅｎｔｅｒｅｄｔｈｅ２１ｓｔｃｅｎｔｕｒｙ′ｓｄｉｇｉｔａｌｐｅｒｉｏｄｆｒｏｍｃｏｍｐｕｔｅｒａｓｓｉｓｔｍａｐｐｉｎｇｉｎｔｈｅ１９７０ｓｔｒａｄｉｔｉｏｎａｌｍａｐｒｅｐｒｅｓｅｎｔａｔｉｏｎｈａｓｔｒａｎｓｆｏｒｍｅｄｆｒｏｍ２Ｄｍｏｎｏｍｅｄｉｕｍｓｔａｔｉｃｉｎｔｏ３Ｄｍｕｌｔｉｍ… 相似文献
20.
High PM2.5 concentrations and frequent air pollution episodes during late autumn and winter in Jilin Province have attracted attention in recent years. To describe the spatial and temporal variations of PM2.5 concentrations and identify the decisive influencing factors, a large amount of continuous daily PM2.5 concentration data collected from 33 monitoring stations over 2-year period from 2015 to 2016 were analyzed. Meanwhile, the relationships were investigated between PM2.5 concentrations and the land cover, socioeconomic and meteorological factors from the macroscopic perspective using multiple linear regressions (MLR) approach. PM2.5 concentrations across Jilin Province averaged 49 μg/m3, nearly 1.5 times of the Chinese annual average standard, and exhibited seasonal patterns with generally higher levels during late autumn and over the long winter than the other seasons. Jilin Province could be divided into three kinds of sub-regions according to 2-year average PM2.5 concentration of each city. Most of the spatial variation in PM2.5 levels could be explained by forest land area, cultivated land area, urban greening rate, coal consumption and soot emissions of cement manufacturing. In addition, daily PM2.5 concentrations had negative correlation with daily precipitation and positive correlation with air pressure for each city, and the spread and dilution effect of wind speed on PM2.5 was more obvious at mountainous area in Jilin Province. These results indicated that coal consumption, cement manufacturing and straw burning were the most important emission sources for the high PM2.5 levels, while afforestation and urban greening could mitigate particulate air pollution. Meanwhile, the individual meteorological factors such as precipitation, air pressure, wind speed and temperature could influence local PM2.5 concentration indirectly. 相似文献