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Study on Spatial Pattern of Climatic Resources in North China YANG Jian-ying,MEI Xu-rong,YAN Chang-rong,LIU Qiu(Institute of Environment and Sustainable Development in Agriculture/Key Laboratory of Dryland Agriculture,MOA,Beijing 100081,China) Chinese Journal of Agrometeorology    2010, 31 (S1): 1-5.   Abstract （20152）      PDF（pc） （652KB）（1900）       Knowledge map    Save Based on data of the Chinese Meteorological Administration(CMA) from 1961 to 2008,the geographical coordinates of 155 meteorological stations and the global digital elevation map(GTOPO30,DEM),the author analyzed the spatial pattern of averagely annual sunlight and temperature,accumulated temperature over 10℃,annual precipitation and the precipitation of the four seasons in North China and obtained the climate resources pattern map.The results showed that the annual sunshine time was higher in northern than southern.The pattern of annual average temperature and accumulated temperature over 10℃ were that south was higher than the north and the east was higher than west.The tendency of the precipitation overall pattern from the north to the south was on the increase.The precipitation of the four seasons was unusual non-uniform and mainly concentrates in the summer.Generally speaking,heat resource and precipitation in the southern region was rich.While the light resource was relatively short.Light and heat resources in the northern region of North China were adequate,but the precipitation was the key limiting factor. Related Articles | Metrics | Comments（0） Cited: Baidu(47)

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Evolution Analysis on Droughts in Northeast China During 1961-2012 Based on SPEI GAO Bei，JIANG Tong，SU Buda，ZHU Xianyun，WANG Yanjun Chinese Journal of Agrometeorology    2014, 35 (06): 656-662.   DOI: 10.3969/j.issn.1000-6362.2014.06.008 Abstract （19223）      PDF（pc） （5507KB）（949）       Knowledge map    Save Based on the daily precipitation，temperature，relative humidity，actual vapor pressure，wind speed and sunshine duration record from 65 meteorological stations in 1961-2012，the standardized precipitation evapotranspiration indices（SPEI）were calculated and verified for assessing the droughts in Northeast China.M K method and Empirical Orthogonal Function（EOF）were also used to analyze drought characteristic in different time scale over Northeast China as well.The results showed that the SPEI could capture the evolution of droughts over the Northeast region.Annual SPEI showed an obvious fluctuation during 1961-2012，the lasting droughts in Northeast China occurred in the late 1960s，and variability of droughts was most severe in the middlewest part in late 1970s and from ending of 1990s to early 21st century.Seasonal SPEI showed different characteristics，with no obvious trend in spring before 21st century，but wetting tendency was found after 2003.Occurrence of droughts in summer and autumn tended to increase，and more sever since mid1990s in autumn in the southwest Heilongjiang province and the western Jilin province.While an obvious wetting tendency have been detected for winter season since early 21st century in the middlewest Jilin province and the north Liaoning province. Reference | Related Articles | Metrics | Comments（0） Cited: Baidu(12)

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Accumulated Temperature Variation and Accumulated Temperature Rezone in Heilongjiang Province CAO Meng-Meng, LI Qiao, ZHANG Li-You, GAO Jian, LI Wei-Hai, DING Wang-Mei, SUN Yan-Kun Chinese Journal of Agrometeorology    2014, 35 (05): 492-496.   DOI: 10.3969/j.issn.1000-6362.2014.05.002 Abstract （18450）      PDF（pc） （4642KB）（1183）       Knowledge map    Save Based on daily average temperature data from 78 meteorological stations in Heilongjiang province from 1981 to 2012，the temporal and spatial variation of accumulated temperature ≥10℃ was analyzed by using five day running average and Kriging interpolation space method.The accumulated temperature zone in Heilongjiang province was rezoned by using of the 80% guaranteed rate of the accumulated temperature.The results showed that the annual average temperature increased obviously at the rate of 0.21℃/10y，and the accumulated temperature ≥10℃ increased at the rate of 83.95℃·d per 10 years from 1980s.The average accumulated temperature was 2645.39℃·d in 1981-2012.The accumulated temperature ≥10℃ increased significantly in decadal，and the accumulated temperature≥10℃ zone moved to north and east obviously.The accumulated temperature with 80% guaranteed rate was above 2300℃·d in most regions，and all zones expanded to north and east.The results could provide references for planting division in Heilongjiang province. Reference | Related Articles | Metrics | Comments（0） Cited: Baidu(7)

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Soil Moisture Monitoring with EOS/MODIS VSWI Product in Xilingol HE Jun jie1，WANG Ying shun1，LI Yun peng2，WU Ri na2，LV Xiang wei3 Chinese Journal of Agrometeorology    2013, 34 (02): 243-248.   DOI: 10.3969/j.issn.1000-6362.2013.02.018 Abstract （16839）      PDF（pc） （4126KB）（1048）       Knowledge map    Save The relationship between VSWI and relative soil moisture was analyzed based on the MODIS data and observed soil moisture of 0-10cm layer in 13 meteorological stations in Xilingol region inner Mongolia.The results showed that there was a linearity relationship between VSWI and relative soil moisture （P＜0.01），and the relative soil moisture measurement model was established.The simulation result with the model was in accord with practice.The drought process was monitored in August 2011 in Xilingol grassland.It was feasible to monitor extensive drought using VSWI，and it had important theoretical and practical significance to clarify soil moisture regime and drought. Related Articles | Metrics | Comments（0） Cited: Baidu(2)

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Climate Change during Winter Wheat Growing Period and Its Impacts on Winter Wheat Yield in Puy ang of Henen Province ZHANG Ming-jie,WANG Yun-hang,ZHAO Gui-fang,LIU Jiu-ling,FU Ye-zhen,LIU Juan,TIAN Guo-wei(Meteorological Bureau of Puyang City of Henan Province,Puyang 457000,China) Chinese Journal of Agrometeorology    Abstract （16612）      PDF（pc） （887KB）（2257）       Knowledge map    Save The variation characteristics of the temperature,precipitation and sunshine on the multiple time scales and their impacts on winter wheat growth and yield in Puyang of the Henen Province was analyzed by using the linear analysis method.The results showed that the anomalous temperature in the winter abruptly changed from-0.3℃ to 0.8℃ in 1991,while the anomalous temperature in the spring abruptly changed from-0.6℃ to 0.9℃ in 1997.The climate temperature coefficient for each ten days of the 23 ten days among 25 ten days of the whole year was positive,and its maximum value was 0.42 in the last ten day in March.The cold days and cool cold days averagely decreased 4.30 days and 1.81 days for each ten years during the winter wheat growing period respectively.The phase of rainfall anomaly percentage was obvious in winter.The extreme events increased,while it reduced in spring.The changes of the precipitation tended to be moderate.The precipitation climatic trends coefficient for each ten days of the 17 ten days among 25 ten days of the whole year was positive and its maximum value was in the second ten day in January.Whereas the overall change trend in precipitation was not obvious.The abnormal sunshine in winter abruptly decreased from 0.1 in 1984 to-2.2 in 1985,while it changed from 0.3 in 1983 to-1.1 in 1984 in spring.The climatic trends coefficient for each ten days of 19 ten-day periods among 25 ten days of the whole year was negative and its absolute values were larger in the second ten days in January and the first ten days in June.It was concluded that the warming up during winter wheat growing period in winter was obvious and benefit for the over-wintering of the winter wheat.The decline of the precipitation during winter wheat growing period had adverse impacts on the stability of the winter wheat yield.The rapid reduction of the sunshine hours,particularly in the late growing period,was not favorable for the maturity of the winter wheat. Related Articles | Metrics | Comments（0） Cited: Baidu(63)

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Variation of Temperature and Frost free Period in Different Time Scales in Northeast China HU Qi，PAN Xue biao，ZHANG Dan，Yang Ning，Li Qiu yue，SHAO Chang xiu Chinese Journal of Agrometeorology    2015, 36 (01): 2-8.   DOI: 10.3969/j.issn.1000-6362.2015.01.001 Abstract （16365）      PDF（pc） （13964KB）（3374）       Knowledge map    Save Based on observed data from 71 meteorological stations in Northeast China from 1961 to 2012，the variation of temperature and frost free period in decade scale，annual scale，month scale，and tenday scale，were analyzed.The results showed that both contour lines of temperature and frostfreeperiod moved northward in decade scale，and maximum value occurred in 1980-1999.Compared with 1961-1979，contour line of 3℃ temperature moved northward about 1latitude，and the area of temperature over 3℃ increased 1.14×10.5km2，and contour line of 155d frost free moved northward about 2.4 latitudes，and the area of frostfree 155d increased 2.02×10.5km2.The average temperature increasing rate in Northeast China was 0.30℃10y-1，and maximum increasing in winter at the rate of0.47℃10y-1.The frost free period increasing rate was 3.5d10y-1，and first/latest frost date delayed/advanced 8.1d and 9.8d，respectively.The temperature increasingrate in February was 0.8℃10y-1，which was key factor to large temperature increasing in winter.In which the final 10 days in February temperature increasing rate was 1.00℃10y-1.Climate warming might have some impacts on agricultural production and agro climatic zone in Northeast China，the results could provide references forheat resources utilization and crop cultivation under climate change. Reference | Related Articles | Metrics | Comments（0）

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Variation Characteristic of Soil Temperature at Deep Layers in Kashi City Abudoukerimu ABASI , Maihebureti MAIMAITIYIMING,Nu'erpatiman MAIMAITIREYIMU,Gulimiri Chinese Journal of Agrometeorology    2014, 35 (03): 237-242.   DOI: 103969/jissn1000-6362201403001 Abstract （16176）      PDF（pc） （2307KB）（23055）       Knowledge map    Save The variation of monthly average soil temperature at 0.8m,1.6m and 3.2m deep layers in Kashi from 1981 to 2010 was investigated by using linear trend analysis and accumulated variance methods The results showed that annual average soil temperature at deep layers of 0.8m, 1.6m and 3.2m decreased from 1984 to 1992 significantly(P<0.01) and increased significantly from 1996 to 2004 (P<0.01),but the liner trend of soil temperature was not significant during the whole period Soil temperature at different deep layers increases significantly in winter and spring but decreased significantly in summer and autumn,of which at 0.8m layer in summer(P<0.01),1.6m layer in autumn(P<0.05) was significant respectively From decadal variation, average soil temperature at different deep layer in 1980s was higher than that in 1990s and first 10 years of 21st century Air temperature variation was one of the main factors affecting deep layer soil temperature and there was positive correlation between them Precipitation also had a certain impact on the deep soil temperature,and average soil deeper temperature was related to precipitation increasing Annual average soil temperature at 0.8m and 1.6m depth had abrupt changes in 1985 and 2009,and 3.2m depth was in 1985 and 2008 by the Mann Kendall test The results could provide scientific reference to adapt to climate change for Kashi Reference | Related Articles | Metrics | Comments（0）

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Response of Soil Temperature to Air Temperature Change in Tibet Plateau ZHOU Kanshe， LUO Suxuan， DU Jun， JIAN Jun， SHI Lei Chinese Journal of Agrometeorology    2015, 36 (02): 129-138.   DOI: 10.3969/j.issn.1000-6362.2015.02.002 Abstract （16077）      PDF（pc） （14151KB）（1858）       Knowledge map    Save Based on the observed data of monthly soil temperature in different depth and air temperature from 8 representative meteorological stations in Tibet Plateau from 1971 to 2013， by using the linear trend analysis method and Mann-Kendall method， the changing tendency of annual and seasonal soil temperatures and air temperature， the difference of soil and air temperature （Ts-Ta）， and the abrupt change relationship between soil temperatures and air temperature were analyzed， the trend of soil temperatures in the future was predicated. The results showed that annual shallow soil temperature （SST） increased significantly （P＜0.05）， in which those in western and central of Tibet Plateau were more significant than that of in eastern， seasonal soil temperature increased significantly， and that in winter and spring were more significant than that of in summer and autumn. Deep soil temperature（DST） increased significantly except for in Qamdo （P＜0.05）， even much more than shallow soil temperature in Senggecangbu， Xigaze and Lhasa. The annual difference of SST and air temperature was bigger than DST in Senggecangbu， and similar to that of in Xigaze and Lhasa before 1990s， but it was equaled to that of DST after 1990s. The situation in Qamdo was that SST lower than that of DST before 1980s， and higher than DST after 1980s. There was extremely significant positive correlation between average annual soil temperature in different depth and average annual air temperature， and there was significant positive correlation among soil temperature in different depth （P＜0.01）. It was predicted that soil temperatures increased significantly in the future， and increasing range of soil temperature was higher than that of air temperature. It was projected that the soil temperatures in Qamdo， Lhasa and Bome could be approached that of in Baxoi， Tsedang and Zayu by the end of the twenty-first century， respectivel， which means all of the sites could be moved one latitude toward south． Reference | Related Articles | Metrics | Comments（0） Cited: Baidu(5)

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Analysis of Spatial temporal Precipitation Variation in Anhui Province during 1959-2007 JIANG Jun-Jie, SUN Wei-Guo Chinese Journal of Agrometeorology    2012, 33 (01): 27-33.   DOI: 10.3969/j.issn.1000-6362.2012.01.004 Abstract （16009）      PDF（pc） （5049KB）（2663）       Knowledge map    Save Based on daily precipitation data of sixteen meteorological stations in Anhui province during 1959 to 2007,using linear regression method，MannKendall method，accumulative anomaly method and Morlet wavelet analysis method,the characteristics and tendencies of annual precipitation variation were analyzed.The results showed that the trend of annual precipitation increased unsignificantly.The linear increase trend was significant in summer and winter,but decrease trend in spring and autumn were not obvious.There was a significant decrease trend for annual total rain days in all areas,but the heavy and rainstorm days was increased.The total rain day was reduced from south to north,but the change rates of ≥25mm rain day is increased from the same direction.Both annual precipitation and seasonal precipitation presented two kinds of period,and 2～4 years cycle concussion was obvious.In Anhui province,the precipitation was more centralized because of less rain days and more rainfalls.Since the mid 1990s,the annual precipitation presented more prominent wide range shock and uncertainly,resulted in more drought and flood disasters and bringing bad effect of the local agricultural production. Related Articles | Metrics | Comments（0）

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Quantitative Effects of Environmental Factors on Climatic Yield in the Mountainous Area—A Case Study in Yunnan Province GU Zhi-jia, BAI Zhi-wei, DUAN Xing-wu, DING Jian-hong, FENG De-tai, SHI Xiao-ning, HAN Xu Chinese Journal of Agrometeorology    2015, 36 (04): 497-505.   DOI: 10.3969/j.issn.1000-6362.2015.04.014 Abstract （15993）      PDF（pc） （2536KB）（2934）       Knowledge map    Save The shortage of agricultural land resources in mountainous area leads to an inevitable conflict between human and land, which responses particularly for the vulnerability of crop yield in the mountainous area under the climate change conditions. To study the effects of environmental factors on climatic yield may provide a scientific basis for the rational utilization and protection of the land resources in mountainous area. A case study was focused in the Yunnan Province in this paper, grain yield per unit area of 122 counties from the year 1985 to 2012 were collected, biological simulation model was used to simulate the trend of yield and calculate climatic yield, seventeen environmental factors were extracted from each country during the same period. Correlation analysis and redundancy analysis (RDA) were used to analyze the quantitative impact of environmental factors on climatic grain yield. The results showed that the unit area climatic yield varied between -0.15 and -0.01t·ha-1 with a reduction tendency with the increasing of time in the study area. A significantly negative correlation was found between the soil total potassium, while a significant positive correlation between slope, aspect and climatic yield. There was no statistically significant correlation between climatic yield and other 14 environmental factors. Redundancy analysis showed that slope, aspect, soil carbon and nitrogen ratio, temperature, soil pH and TK were the minimum variables combination which could explain 44.6% variation of grain yield. Slope gradient was one of the most important environmental influential factors, which could explain 44.62% of grain actual yield and 26.29% climatic yield per unit area’s variation. In higher climatic yield region by transforming slope into terrace, improving soil fertility and other means to increase grain yield is an effective way to protect the regional grain production safety under the premise of climate change. Reference | Related Articles | Metrics | Comments（0） Cited: Baidu(9)

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Simulation of Daily Air Temperature Inside Plastic Greenhouse Based on Harmonic Method LI Qian,SHEN Shuang he,TAO Su lin,ZOU Xue zhi Chinese Journal of Agrometeorology    2014, 35 (01): 33-41.   DOI: 10.3969/j.issn.1000-6362.2014.01.005 Abstract （15918）      PDF（pc） （2473KB）（11490）       Knowledge map    Save Micro-climate data inside plastic greenhouse in Cixi,Zhejiang province,during the period from 2006 to 2009 was analyzed based on three kinds of weather conditions in winter and spring seasons.Taking the weather elements outside plastic greenhouse as independent variables,the second-order harmonic model parameters were got by through the stepwise regression and a harmonic prediction model for hourly air temperature inside greenhouse was established and validated with three kinds of weather, ie,sunny day, partly cloudy day and overcast day in winter and spring respectively.The results showed that the coefficient of determination (R2)between the predicted and the measured value was more than 0.92 both in sunny day and partly cloudy day,and root mean square error (RMSE) and absolute error (AE) were less than 3.0℃ and 2.4℃ respectively R2 between the predicted air temperature and the measured value in overcast day was approximately 0.79,and RMSE was less than 3.0℃ and RE was approximately 2.0℃,which was lower than that of in partly cloudy day but higher than that of in sunny day.Under the same weather condition, predicted air temperature in winter was higher than that of in spring.Air temperature phase inside plastic greenhouse was a little ahead of outside, especially in sunny and partly cloudy day,and it was higher in winter than that of in spring.Daily minimum air temperature inside plastic greenhouse was lower than that of outside greenhouse,especially in spring.Application of the harmonic analysis to predict of air temperature inside plastic greenhouses under specific weather conditions was studied,and the research results could certainly provide scientific guidance for micro-scale cultivation management in plastic greenhouse. Reference | Related Articles | Metrics | Comments（0） Cited: Baidu(1)

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Analysis of Different Guarantee Rate Extreme Minimum Temperature Variation in Xinjiang During 1961-2010 PU Zong chao, ZHANG Shan qing，LI Jing lin,XU Wen xiu,WANG Ming quan Chinese Journal of Agrometeorology    2014, 35 (01): 10-16.   DOI: 10.3969/j.issn.1000-6362.2014.01.002 Abstract （15913）      PDF（pc） （3446KB）（1786）       Knowledge map    Save Based on the annually extreme minimum temperature data from 101 meteorological stations in Xinjiang during 1961-2010, the fundamental spatialtemporal change characteristics of mean extreme minimum temperature and different guarantee rate(80%, 90%, 95%)extreme minimum temperature were analyzed by using the methods of linear regression, Mann Kendall test and three dimensional and quadratic trend surface simulation and inverse distance square weighting residual error revising based on GIS. The main results are as the follows,(1)mean extreme minimum temperature and different guarantee rate extreme minimum temperature were higher in southern than in northern, and higher in plain and valley than in mountain areas of Xinjiang.(2)On average of whole Xinjiang, the extreme minimum temperature of guarantee rate 80%, 90%, and 95% were lower than mean extreme minimum temperature -2.7℃,-4.2℃ and -5.4℃ respectively, and the difference was gradually increased from southeast to northwest in Xinjiang.(3)In the background of global warming, mean extreme minimum temperature showed a significant increasing trend by the rate of 0.74℃/10y in recent 50 years, and had mutations in 1980. The increasing rate and change range before and after 1980 were larger in north than in south, and in plains than in mountains of Xinjiang. In addition, according to climate index of winter wheat and various fruit trees going through winter safely, the influence of different guarantee rate extreme minimum temperature spatial temporal variation to winter wheat and fruit trees going through winter safely were analyzed. The study results have important reference significance, to science formulates plans for the winter crops planting, choose appropriate cold resistant crop varieties, adopt scientific and effective safety overwintering crops management technology in Xinjiang. Reference | Related Articles | Metrics | Comments（0） Cited: Baidu(2)

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Analysis of Distributional Characteristics and Primary Causes of Maize Drought in Northeast China ZHANG Shu jie1，ZHANG Yu shu1，SUN Long yu2，JI Rui peng1，CAI Fu1，WU Jin wen1，Li Guang xia3 Chinese Journal of Agrometeorology    2013, 34 (03): 350-357.   DOI: 10.3969/j.issn.1000-6362.2013.03.016 Abstract （15892）      PDF（pc） （3102KB）（2325）       Knowledge map    Save Based on the observational data collected from 124 meteorological stations in Northeast China from 1961 to 2008, water deficit indices were defined for maize in different growth stage, and then spatial and temporal distributional characteristics of drought were analyzed on the basis of inter annual variation features. The results indicated that the occurrences of drought showed distinct seasonal and regional features. In the view of growth stage, drought occurred with high frequency at the seedling stage and the frequency decreased evidently at afterwards growth stages. Slight drought happened in higher frequency than moderate and severe drought. The main cause of drought was the seasonal distribution characteristics of precipitation. In the view of spatial scale, the occurrence frequency of drought for different degrees reduced gradually from west to east. The most frequent areas of drought were northwestern of Liaoning province, western of Jilin province and southwest of Heilongjiang province, respectively. For interdecadal variation characteristics, drought frequency decreased from 1960s to 1980s, increased slightly in the early of 1990s and increased apparently after the middle of 1990s, especially increased dramatically from 2000 to 2004. In view of different growth stage in the years, the trend of drought frequency was seedling stage＞jointing booting stage＞ filling maturation stage＞tasseling flowering stage. The most frequent water stress was slight drought for seedling stage during 1960s and 1990s, slight drought stress occurred frequently at tasseling and flowering stage during 1990s. All kinds of drought happened frequently at kernel filling to mature stage from 2001-2008. Thus it can be seen that the occurrence frequency of drought has increased in this area over the past several decades, especially in the critical period of yield formation of maize, and has dramatically adverse effect on maize yield. The results show positive significance to better understand the causes and distribution characteristics of drought for different growth stages of maize in Northeast China and then it will be beneficial to take appropriate measures. Related Articles | Metrics | Comments（0） Cited: Baidu(8)

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Determination of Optimum Sowing Date of Winter Wheat in Suzhou under Global Warming LI De, YANG Tai-Ming, ZHANG Xue-Xian Chinese Journal of Agrometeorology    2012, 33 (02): 254-258.   DOI: 10.3969/j.issn.1000-6362.2012.02.016 Abstract （15868）      PDF（pc） （1627KB）（1803）       Knowledge map    Save Climatic variation during winter wheat seeding to overwintering in Suzhou was analyzed by using tendency rate of linear variation, moving average method and mathematical statistics based on the observed meteorological data from 1954 to 2007. The results showed that the average daily temperature in regular seeding season increased at the rate of 0.4 ℃·10y-1(P＜0.01). 〖JP2〗The date of average daily temperature ≥16℃ in autumn, which was optimum temperature for winter wheat seeding, was delayed. The active accumulated temperature from regular seeding season to overwintering increased significantly(P＜0.01). The optimum seeding time for winter wheat postponed to 15-25 October, delayed 7-8 days than regular time with climate warming. Which was help to prevent prosperous grow before winter. Related Articles | Metrics | Comments（0） Cited: Baidu(6)

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Analyzing and Zoning of Eco climate Suitability of Oilseed Rape in Shaanxi Province LIANG Yi, LI Xingmin, ZHOU Hui, ZHU Yan nian, YAN Sheng an Chinese Journal of Agrometeorology    2013, 34 (01): 50-57.   DOI: 10.3969/j.issn.1000-6362.2013.01.008 Abstract （15858）      PDF（pc） （1114KB）（1972）       Knowledge map    Save Based on the meteorological data and geographic information during the growth period of oilseed rape at 96 weather stations from 1981 to 2010 in Shaanxi province, by using GIS technology, authors built the climatic division for oilseed rape in order to provide scientific basis for sustainable development. Firstly, through the comprehensive analysis of climate suitability characteristics and key influential climate factor on oilseed rape yield, some factors such as mean daily minimum air temperature in January,air temperature at stem elongation period,air temperature at whole growth period ≥0℃ accumulative temperature at whole growth period,and precipitation during the whole growth period were selected as the climatic regionalization indices. Next, small grid reckon model was established to calculate the spatial distribution without station in Shaanxi province of each regionalization index values of 100m×100m grid node. Thus, the distribution graph of the eco climate suitable planting areas of oilseed rape was formed by using comprehensive evaluation method. The results indicated that the most suitable regions for oilseed rape plant distributed around flat and dam areas below 600m along Hanjiang river and its tributaries in southern Shaanxi, and the plain areas below 700m along Weihe river and its tributaries in central Shaanxi. The suitable regions were the surroundings, including valley and shallow mountain areas below 850m in the northern piedmont of Qinling, hilly country area below 750m in the southern hillside of Qinling and northern foot of Bashan mountain, and loess tableland area below 800m at the northern bank of Weihe river. Related Articles | Metrics | Comments（0）

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IDL Coding of Fy-3 VIRR-based Temperature Vegetation Drought Index and Application in Shaanxi Province WANG Wei-Dong，ZHAO Qing-lan，LI Hua-long，ZHOU Hui Chinese Journal of Agrometeorology    2015, 36 (04): 513-520.   DOI: 10.3969/j.issn.1000-6362.2015.04.016 Abstract （15815）      PDF（pc） （5709KB）（2648）       Knowledge map    Save The purpose of the present study is to monitor the soil drought of Shaanxi province based on the temperature vegetable drought index (TVDI). The visible and infrared rafiometer (VIRR) level-1 data from the FY-3 satellite was used as the source of data for the present study on cloud detection and inversion of land surface temperature and TVDI. The Interactive Data Language (IDL) was used to develop an application to preprocess FY3 VIRR level-1 data, implement cloud detection, and inverse the land surface temperature and TVDI-based soil drought. The data inversion proved that the TVDI obtained from FY-3 VIRR level-I data had a negative relation of about -0.535 with the relative humidity of the soil in 20cm underground.It can truly reflect the soil drought of Shaanxi Province. The TVDI data inversion truly reflected the soil drought for stations in Shaanxi province except Yulin where the vegetation coverage is low. Reference | Related Articles | Metrics | Comments（0） Cited: Baidu(6)

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Analysis of Changing Characteristics of Agricultural Climate Resources in the Main Planted Areas of Winter Wheat in China over Last 50 Years CAO Qian1,YAO Feng-mei1,LIN Er-da2,ZHANG Jia-hua3,WANG Pei-juan3,QIN Peng-cheng1(1.College of Earth Science,Graduate University of Chinese Academy of Sciences,Beijing 100049,China;2.Institute of Environment and Sustainable Development in Agriculture,Chinese Academy of Agricultural Sciences,Beijing 100081;3.Chinese Academy of Meteorological Sciences,Beijing 100081) Chinese Journal of Agrometeorology    Abstract （15799）      PDF（pc） （846KB）（2168）       Knowledge map    Save Based on the daily meteorological data of 113 weather stations in the main planted areas of winter wheat from 1961 to 2008,the characteristic of agricultural climate resources during the growing period of winter wheat was analyzed by using Mann-Kendall rank analysis and linear trend estimate method.The results indicated that the accumulated temperature higher than 0℃ during the growing period of winter wheat significantly increased,and it had an abrupt change in the beginning of 1990s.The precipitation and reference evapotranspiration had little change during the growing period of winter wheat over last 50 years,however,the fluctuation of precipitation and reference evapotranspiration inter-annual was intensified.The reference evapotranspiration decreased in 1980s and increased slightly after 1990s.The first frost date was delayed and the last frost date was ahead of time,which caused decrease of the frost days over the last 50 years.The first frost date delayed significantly and the last frost date became earlier since the beginning of 2000s. Related Articles | Metrics | Comments（0） Cited: Baidu(63)

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Meteorological Disaster Risk Evaluation of Solar Greenhouse in North China YANG Zai qiang1,2,ZHANG Ting hua1,HUANG Hai jing3,ZHU Kai1,ZHANG Bo1 Chinese Journal of Agrometeorology    2013, 34 (03): 342-349.   DOI: 10.3969/j.issn.1000-6362.2013.03.015 Abstract （15634）      PDF（pc） （3315KB）（3558）       Knowledge map    Save The temperature prediction model indoor based on BP neural network was established,based on meteorological data inside typical solar greenhouse in North China and other meteorological stations.The temperature indoor of 243 meteorological stations was forecasted by the simulation model.Comprehensive meteorological risk assessment model for solar greenhouse was established based on real code accelerating genetic algorithm (RAGA) and projection pursuit evaluate model (PPE),with forecast temperature data indoor and precipitation,sunlight and wind speed from other meteorological stations.The meteorological disaster risk of solar greenhouse in North China was evaluated.The results showed that the standard error was 0.89-1.54℃ between forecasted temperature and observed data,and the determination coefficient was between 0.87-0.94.The highest meteorological disasters risk level of solar greenhouse was from January to March,which was located in North of Tianshan,North of Xing Anling and Tibetan,mainly because of low temperature and frequent winds dust.The lowest risk level of meteorological disasters was in September,which was located between south of the Great Wall and north of the Yellow River,mainly because of low temperature.The meteorological risk evaluation model could provide decision making support for distribution and defence of agro meteorological disaster risk. Related Articles | Metrics | Comments（0） Cited: Baidu(6)

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Studies on Climatic Resources Change for Maize over Last 46 Years in Northeast China JIA Jian-ying,GUO Jian-ping(Chinese Academy of Meteorological Sciences,Beijing 100081,China) Chinese Journal of Agrometeorology    Abstract （15591）      PDF（pc） （754KB）（1938）       Knowledge map    Save Based on the daily average and minimum air temperature data of 70 meteorological stations in the Northeast China from 1961 to 2006,the spatial variations of first date of the temperature ≥10℃,the first frost date,days of growing period and the accumulated temperature ≥10℃ at 80% of the assuredness probability over last 46 years for the different maize varieties were analyzed. The results showed that climatic resources for maize increased significantly in 2001-2006 compared to the 1960s. First date of the temperature ≥10℃ was 2-10 days earlier except in Mohe of Daxing'an Mountains. First frost date was 5-10 days later except in Daxing'an Mountains where it became 5-20 days earlier,and in Xiaoxing'an Mountains and Liaoning Province it was not significantly. The days of the growing period increased about 10 days except in the northern part of Daxing'an Mountains where it decreased 10 days and in the northern part of Liaoning Province it was not significantly. The accumulated temperature ≥10℃ increased by 200-400℃except in Daxing'an Mountains and Xiaoxing'an Mountains where it was not significantly. In the fitting districts for maize growing,planting date came earlier 2-10 days than the 1960s. Distribution line of the different maize varieties moved obviously toward east and north in 2001-2006,extremely early-maturing varieties were planted in Xiaoxing'an Mountains,while the medium-maturing varieties and medially late-maturing varieties were planted in Sanjiang Plain,and late-maturing variety was planted in the south part of Songnen Plain,and early-maturing variety could be planted some areas in Changbai Mountains which were lack of heat condition for maize growing before 2000. Related Articles | Metrics | Comments（0）

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Research Progresses in Yield Forecasting Method Based on Crop Growth Simulation Model in China HUANG Wan-hua1,4,XUE Chang-ying2,LI Zhong-hui3,YANG Xiao-guang4(1.Institute of Meteorological Sciences of Hunan Province,Changsha 410007,China;2.Institute of Meteorological Sciences of Henan Province,Zhengzhou 450003;3.Institute of Meteorological Sciences of Jiangxi Province,Nanchang 330046; 4.College of Resources and Environment,China Agricultural University,Beijing 100193) Chinese Journal of Agrometeorology    2009, 30 (S1): 140-143.   Abstract （15576）      PDF（pc） （1672KB）（2455）       Knowledge map    Save The development processes of yield forecasting methods and crop growth simulation models were introduced firstly,as well as the current applications status of main yield forecasting methods.It is prospected that applications of crop simulation models in yield forecasting would be an inevitable trend.Yield forecasting by crop simulation models is based on mechanisms of crop growth and development,and is a dynamic forecasting method.Its applications in food crops and other economic crops have obtained relatively good results.However,the operational dynamic model of yield forecasting based on crop simulation model still needs to be established,and this would become the main direction for yield forecasting. Related Articles | Metrics | Comments（0） Cited: Baidu(27)