彭州市平坝地区秋季农业气候资源的分析利用

对彭州市平坝地区在秋季水稻收获后，小麦播种前这一时段进行了光热水资源的农业气候分析，为种植与资源相适应的农作物、合理利用农业气候资源提供了依据。     

成都平原秋季农业气候特征的分析利用

对成都平原9个代表点的气候资料进行聚类,然后分析3种类型农业气候的光热水特征,最后分析了这些特征对农业生产的影响     

白银市农业气候资源特征及开发应用

白银市农业气候资源具有日照充足，降水少而变率大，气象灾害种类多、危害重的特点。提出了气候资源开发与应用的途径。     

彭州市立体农业气候资源的研究(二)热量资源分析

利用彭州市境内市气象站，新兴，白果坪的日平均气温资料，进行热量资源分析。结果表明，彭州市7－8月为最热月，多年平均温度低于24．9℃，12－2月为最冷月，多年平均温度高于1．7℃。大多数年全年稳定通过0℃，可一年四季进行农业耕作，有利于作物越冬和多年生作物的种植，生长期长，积温丰富。界限温度的初，终日期及持续日数变化较大，积温际变化显著，热量资源随海拔高度增加而减少，各界限温度的初日推迟，终日提前，持续日数和积温减少，温度强度也降低，形成显著的立体农业气候。     

四川省小麦条锈病春季流行的农业气候风险区划

针对当前从气象风险角度开展小麦条锈病与气象关系研究甚少的状况,从农业气象灾害风险分析理论出发,采用相关分析、层次分析和极差正规化等方法,建立了包含气候条件和寄主存在数量两个环境因子的四川省小麦条锈病春季流行农业气候风险模型,并划分了高、中、低风险等级的指标.在此基础上,利用GIS技术对四川省小麦条锈病春季流行的农业气候风险进行了区划.结果表明,四川省的川西高原地区、川西南山地和盆地西南部是小麦条锈病春季流行低风险区,盆地大部地区是中、高风险的集中区.区划结果为进一步做好四川省小麦条锈病的分区预报和综合防治方面提供科学依据.     

农业气候相似分析在观叶植物引种中的应用

采用计算欧氏距离的方法，分析观叶植物从广州引种到成都的农业气候相似性。统计气温、相对湿度、农业气候指标及不同管理条件下的两地欧氏距离。得出：在成都保护地生长有较好的气候适应性，引种易于成功。从理论上为观叶植物的引种提供了科学依据。     

近47年白银市气候变化及其对农业生产的影响分析

利用白银市4个代表站逐日平均气温、逐日地面最低温度，分别得到≥0℃初终日期、初终霜冻日期以及利用逐月平均气温、平均最高气温、平均最低气温和逐月降水资料，对白银市近47a的气候变化特征进行分析，同时分析了气候变化对农业生产的影响，为充分利用变化了的农业气候资源，减少不利因素带来的影响提出了对策和建议。     

彭州市立体农业气候资源的研究(一)降水资源分析

分析了彭州市境内位于不同海拔高度的4个观测站的降水资料，结果表明，彭州市雨量充沛，但降水量的年际变化显著，雨季起、止时间和雨季长、短的年际变化很大，降水的时间分配极不均匀，因为这4个站具有相同的气候背景、，降水量的年、季、月变化呈现基本一致的规律和趋势，但因为海拔高度不同等气候背的差异，4站的降水特点又显著不同。降水量随海拔高度的升高而增加，降水变幅和雨日也阴海拔高度的升高而增加，大降水过程具有明显的局地性，不同海拔高度的旱、涝情况亦有差异，降水的空间分布表现出明显的立体性特征。     

定西市气候资源特点与开发利用

对定西市近50年的气候资源进行分析.结果表明定西市具有光照充足、光能资源丰富、气候温凉、热量分布差异大、降水少变率大、光热水匹配基本合理等特点.根据其气候资源的特点,提出了农业气候资源开发利用途径.     

气候与建筑

气候学,作为大气科学的一个分支,是研究气候形成及气候特征在空间分布和时间演变的学科,也是气象学与自然地理学间的边缘学科。气候学在工农业生产和国防建设中有广泛的应用,和人们的日常生活也密切相关。随着现代社会的发展,气候因素在各相关学科中越来越受到人们的重视,因而,气候学各分支如农业气候学、林业气候学、工业气候学、航海气候学、航空气候学、建筑气候学、医疗气候学、体育气候学、环境污染气候学等交叉边缘学科也应运而生。从本期起,我们将陆续介绍一些应用气候学的研究成果和学术动态,希望能对广大读者起到开拓视野,提高兴趣,加深认识的作用。     

THE IMPACT OF THE CONTEMPORARY CLIMATIC CHANGE ON CHINAS THERMAL RESOURCES

ＴＨＥＩＭＰＡＣＴＯＦＴＨＥＣＯＮＴＥＭＰＯＲＡＲＹＣＬＩＭＡＴＩＣＣＨＡＮＧＥＯＮＣＨＩＮＡＳＴＨＥＲＭＡＬＲＥＳＯＵＲＣＥＳ￥ＬｉｕＹｕｎｆｅｎ（刘允芬）（ＣｏｍｍｉｓｓｉｏｎｆｏｒＩｎｔｅｇｒａｔｅｄＳｕｒｖｅｙｏｆＮａｔｕｒａｌＲｅｓｏｕｒｃ...     

The impact of the contemporary climatic change on China’s thermal resources

In the global climatic change, China’s climatic change will be more complicated and its impact on the agroclimatic resources and agricultural production will also be more obvious. Therefore, it is absolutely necessary to take the agroclimatic resources as a comprehensive climatic information system for evaluating the impact of climatic change on agriculture and exploring the correspondent ways to deal with it. This article studies the impact of climatic change on China’s thermal resources and make a correlation analysis of the climatic condition and the agroclimatic thermal resources in order to establish a regression equation and made simulant computation with Monte Cario Method. In addition, it analyses the change of the thermal resources possibly resulted from climatic change, evaluates its impact on agricultural, and finally sets up the correspondent countermeasures.     

Regionalization for large area crop estimates by remote sensing

The crop estimates by remote sensing, developing quickly in recent decades, is a up-to-date technique. Regionalization for large area crop estimates by remote sensing, a special applied regionalization, is the foundation of crop estimates in a large area by remote sensing. According to the actual demands of wheat yield estimation by remote sensing and wheat agroclimatic demarcation of China, this paper first puts forward some principles upheld in this regionalization and analyses its main bases. Secondly, it works out the classificatory schemes about the optimum temporal for estimating wheat yield by remote sensing, information sources of space remote sensing and landuse structure in China. Finally, According to the regionalization indices, this study divides the wheat plantable region of China into 14 regions of crop yield estimates and 31 subregions of crop yield estimates.     

REGIONALIZATION FOR LARGE AREA CROP ESTIMATES BY REMOTE SENSING——A Case Study of Chinese Wheat

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Regionalization for large area crop estimates by remote sensing

The crop estimates by remote sensing, developing quickly in recent decades, is a up-to-date technique. Regionalization for large area crop estimates by remote sensing, a special applied regionalization, is the foundation of crop estimates in a large area by remote sensing. According to the actual demands of wheat yield estimation by remote sensing and wheat agroclimatic demarcation of China, this paper first puts forward some principles upheld in this regionalization and analyses its main bases. Secondly, it works out the classificatory schemes about the optimum temporal for estimating wheat yield by remote sensing, information sources of space remote sensing and landuse structure in China. Finally, According to the regionalization indices, this study divides the wheat plantable region of China into 14 regions of crop yield estimates and 31 subregions of crop yield estimates.     

利用塑料大棚缓解成都市蔬菜生产春淡的可行性分析

对成都市蔬菜生产春淡的气候原因及塑料大棚内小气候特征进行分析,选取六种补淡蔬菜,利用平行比较法和模糊聚类法,讨论了棚内栽培季节,为缓解成都蔬菜生产春淡的可行性作科学论证提供了依据。     

广饶县蔬菜基地生态地质环境研究

为了解广饶县蔬菜基地生态地质环境质量,通过对水、土环境质量现状进行调查,重点研究了四大蔬菜基地的生态地质环境特征,结果表明四大蔬菜基地生态环境质量相对较好,蔬菜质量也达到无公害标准。发现在花官乡及稻庄镇存在土壤硒元素富集区,大蒜及芹菜中硒元素含量也较高,对引导当地绿色高效生态农业发展具有重大意义。     

蔬菜上市量与气象因子灰色速率相关分析

根据成都市基地蔬菜历年上市量与同期气象资料进行了灰色速率相关分析，建立了影响蔬菜上市量的主要气象因子与蔬菜的季度亩产量逐步回归数学模型，为缓解成都市蔬菜“秋淡”提供了理论依据。     

Simultaneous quantification of greenhouse gas and nitric oxide emissions from subtropical conventional vegetable systems: a 2-site field case study in Sichuan Basin

Quantification of greenhouse gases[nitrous oxide(N₂O)and methane(CH₄)]and nitric oxide(NO)emissions from subtropical conventional vegetable systems through multi-site field measurements are needed to obtain accurate regional and global estimates.N2 O,NO and CH4 emissions from subtropical conventional vegetable systems were simultaneously measured at two different sites with hilly topography in the Sichuan basin,southwest China by using the static chamber gas chromatography technique.Results showed that annual soil N₂O and NO fluxes for the treatment receiving N fertilizer ranged from 6.34-7.71 kg N ha^-1 yr^-1 and 0.69-0.85 kg N ha^-1 yr^-1,respectively,while decreased soil CH4 uptakes by 26.4%as compared with no N fertilizer addition across our two sites of experiment.Overall,the average direct N2 O and NO emission factor(EFd)were 0.71%and 0.12%,respectively,which were both lower than the available EFd for subtropical conventional vegetable systems.This finding indicates that current regional and global estimates of N₂O and NO emissions from vegetable fields are likely overestimated.Background N₂O emissions(3.42-3.62 kg N ha^-1 yr^-1)from the subtropical conventional vegetable systems were relatively high as compared with available field measurements worldwide,suggesting that background N₂O emissions cannot be ignored for regional estimate of N₂O emissions in subtropical region.Nevertheless,the significantly intra-and inter-annual variations in N₂O,CH₄ and NO emissions were also observed in the present study,which could be explained by temporal variations of environmental variables(i.e.soil temperature and moisture).The differences in N₂O and NO EFd and CH₄emissions between various vegetable systems in particular under subtropical conditions should be taken into account when compiling regional or global inventories and proposing mitigation practices.