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101.
黑龙江省气候生产潜力研究   总被引:7,自引:0,他引:7  
在气候资源清查的基础上提出热量区和水热综合生长期的概念,它比单纯用积温带指导农业生产更科学合理,符合黑龙江省农业生产实际。采用FAO农业生态区划法计算了黑龙江省水稻、玉米、大豆、小麦四大作物的气候生产潜力。  相似文献   
102.
激光热裂解-色谱-质谱分析方法具有从技术层面上融合分子地球化学方法和有机岩石学方法的潜能。通过抚顺煤镜质组分和树脂体的研究实例,介绍了激光热裂解-色谱-质谱探针分析的基本原理及测试方法。抚顺煤显微组分的微区热裂解产物特征中,镜质组和树脂体热解产物的正烷烃、烷基萘和四氢化萘的总体面貌相似,但树脂体中正烷烃含量较低,而烷基四氢化萘明显较高,这可能反映显微组分形成过程中发生过低分子烃类在各显微组分之间的混合作用。除此之外,还把激光热裂解-色谱-质谱探针技术与传统的分子地球化学方法、有机岩石学方法进行比较。探讨了激光热裂解-色谱-质谱探针技术的应用前景以及尚待解决的技术问题。落射到样品表面的激光束能量(温度)和控制和激光辐射时间的,激光束斑大小、热解产物量、色谱-质谱检验灵敏度极限三者关系等,都是限制新技术应用的技术问题。  相似文献   
103.
滇黔桂微细粒金矿床开发利用问题讨论   总被引:1,自引:0,他引:1  
何立贤 《黄金地质》2001,7(4):66-71
根据矿石加工技术性能,可把微细粒金矿分为原生矿和氧化矿。原生矿难选,成本高,尚未有效开发利用,氧化矿易选冶,成本低,是目前主要开采对象,也是今后勘查重点,根据产出特征可把氧化矿分为原地,残积,塌积氧化矿,其中塌积氧化矿毫无例外地产出碳酸盐岩喀斯特洼地第四系风化土中,习称“红土型”金矿,经深入研究后认为是以碳酸盐岩为底板的整合原生矿,因岩溶塌陷而形成的塌积氧化矿,其成因与国外典型红土型金矿不同,不宜称为红土型金矿,因其首先发现于大厂地区,可称之为“大厂型”金矿,矿床规模一般为小型,个别可达中型,产出形态受控于下伏微喀斯特起伏面,复杂多变,只宜边探边采。  相似文献   
104.
东乌珠穆沁旗中铁陨石中有二种橄榄石。一种是陨石中基质橄榄石,另一种是镶嵌在陨石表面的角砾状橄榄石。电子探针成分分析结果表明,两种橄榄石中的FeO和MnO比值,包体矿物种类,包体铁纹石和镍纹石中Fe,Ni的含量等,均有较大区别。陨石中基质橄榄石矿物是本陨石中原物质,而角砾状橄榄石是宇宙中物质。他们是两块自由翱于宇宙中的物质碰撞混合而形成的东乌珠穆旗陨石中这种现象。  相似文献   
105.
气候变化及其对农作物生产潜力的影响   总被引:6,自引:0,他引:6  
利用国家气象中心整编的1951—1990年全国160站年、月平均气温和总降水量,的资料序列,计算和分析了我国近40年的气候变化,讨论了我国气候变化的区域性和季节性差异;计算了各站的年作物光温生产潜力,探讨了气象变化对农业生产的影响。  相似文献   
106.
This study is a summary of all available information on the long-term and on the more recent development of the planktonic populations in Lago di Lugano with regard to its trophic evolution. The first effects of the lake eutrophication became manifest beginning in the 1950's and brought to important changes in the planktonic community as the appearance and the rapid increase of the filamentous algaeOscillatoria rubescens andStephanodiscus hantzschii, and the disappearance of the zooplanktonic Diaptomidae. Since 1980 the phosphorus concentration began to decrease in lake's epilimnion and the planktonic community showed a new composition, evidencing the presence of others predominant species:Oscillatoria redekei, Lyngbya limnetica, Stephanodiscus sp. (little form). Since 1989 algal standing crop reduced its value below 2 g m–2 (dry weight); furthermore a strong decrease of the Cyanophceae and the appearance of new predominant species (Tabellaria fenestrata, div. Ulotrichales) occurred. At the same time an increase of the herbivorous zooplankton (Daphnia hyalina) and the come-back of the Diaptomidae was observed. Only in the northern basin a decrease tendency of the primary production was observed, changing from 480 to about 300 g C m–2 yr–1 during the last 10 years.  相似文献   
107.
ABSTRACT

For evaluating the progresses towards achieving the Sustainable Development Goals (SDGs), a global indicator framework was developed by the UN Inter-Agency and Expert Group on Sustainable Development Goals Indicators. In this paper, we propose an improved methodology and a set of workflows for calculating SDGs indicators. The main improvements consist of using moderate and high spatial resolution satellite data and state-of-the-art deep learning methodology for land cover classification and for assessing land productivity. Within the European Network for Observing our Changing Planet (ERA-PLANET), three SDGs indicators are calculated. In this research, harmonized Landsat and Sentinel-2 data are analyzed and used for land productivity analysis and yield assessment, as well as Landsat 8, Sentinel-2 and Sentinel-1 time series are utilized for crop mapping. We calculate for the whole territory of Ukraine SDG indicators: 15.1.1 – ‘Forest area as proportion of total land area’; 15.3.1 – ‘Proportion of land that is degraded over total land area’; and 2.4.1 – ‘Proportion of agricultural area under productive and sustainable agriculture’. Workflows for calculating these indicators were implemented in a Virtual Laboratory Platform. We conclude that newly available high-resolution remote sensing products can significantly improve our capacity to assess several SDGs indicators through dedicated workflows.  相似文献   
108.
ABSTRACT

The overarching goal of this study was to perform a comprehensive meta-analysis of irrigated agricultural Crop Water Productivity (CWP) of the world’s three leading crops: wheat, corn, and rice based on three decades of remote sensing and non-remote sensing-based studies. Overall, CWP data from 148 crop growing study sites (60 wheat, 43 corn, and 45 rice) spread across the world were gathered from published articles spanning 31 different countries. There was overwhelming evidence of a significant increase in CWP with an increase in latitude for predominately northern hemisphere datasets. For example, corn grown in latitude 40–50° had much higher mean CWP (2.45?kg/m³) compared to mean CWP of corn grown in other latitudes such as 30–40° (1.67?kg/m³) or 20–30° (0.94?kg/m³). The same trend existed for wheat and rice as well. For soils, none of the CWP values, for any of the three crops, were statistically different. However, mean CWP in higher latitudes for the same soil was significantly higher than the mean CWP for the same soil in lower latitudes. This applied for all three crops studied. For wheat, the global CWP categories were low (≤0.75?kg/m³), medium (>0.75 to <1.10?kg/m³), and high CWP (≥1.10?kg/m³). For corn the global CWP categories were low (≤1.25?kg/m³), medium (>1.25 to ≤1.75?kg/m³), and high (>1.75?kg/m³). For rice the global CWP categories were low (≤0.70?kg/m³), medium (>0.70 to ≤1.25?kg/m³), and high (>1.25?kg/m³). USA and China are the only two countries that have consistently high CWP for wheat, corn, and rice. Australia and India have medium CWP for wheat and rice. India’s corn, however, has low CWP. Egypt, Turkey, Netherlands, Mexico, and Israel have high CWP for wheat. Romania, Argentina, and Hungary have high CWP for corn, and Philippines has high CWP for rice. All other countries have either low or medium CWP for all three crops. Based on data in this study, the highest consumers of water for crop production also have the most potential for water savings. These countries are USA, India, and China for wheat; USA, China, and Brazil for corn; India, China, and Pakistan for rice. For example, even just a 10% increase in CWP of wheat grown in India can save 6974 billion liters of water. This is equivalent to creating 6974 lakes each of 100?m³ in volume that leads to many benefits such as acting as ‘water banks’ for lean season, recreation, and numerous ecological services. This study establishes the volume of water that can be saved for each crop in each country when there is an increase in CWP by 10%, 20%, and 30%.  相似文献   
109.
大庆深部致密砂砾岩含气储层产能预测   总被引:4,自引:0,他引:4  
气层产能预测是气藏工程研究中用于指导气井以及气田合理生产的重要工作和任务,它在气田整体评价和高效开发进程中具有很强的预见性和主动性。讨论了大庆深部致密砂砾岩含气储层的产能与测井响应之间的关系,探讨了根据测井资料应用人工神经网络技术预测含气储层产能的方法。利用已知气井测试结果和测井资料作为网络的训练样本。根据网络学习训练结果,输入储集层的测井资料等静态参数,可预测该储集层的产能。根据这种关系采用神经网络技术实现了测井对产能的预测评价,从而为大庆深部致密砂砾岩含气储层的开发提供了一定的依据。  相似文献   
110.
耕地粮食生产潜力及人口承载力研究——以长清县为例   总被引:11,自引:1,他引:10  
以长清县为例 ,利用 GIS技术和遥感数据 ,按照“机制法”原理计算耕地资源粮食生产潜力。重点是因地制宜、科学确定并计算土壤有效系数和社会有效系数 ,从而得到耕地生产潜力和社会生产潜力像元分布数据。在此基础上 ,进行粮食增产潜力计算 ,并预测未来人口数量发展趋势 ,探讨未来的人口承载力问题。结果表明 :该县粮食增产潜力巨大 ,但是粮食问题仍不容乐观。  相似文献   
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