超学科知识生产模式对农村地区多媒体英语教学的启示

随着知识经济的兴起,人类传统的知识生产模式正悄然发生革命性的变化。一种被称之为"超学科"的知识生产模式开始崭露头角,它强调知识生产要在多学科共同参与的广阔应用语境下进行,要在各利益方充分商榷、谈判、让步、协调、合作的基础上,形成最终共识,从而找到解决问题的途径。和传统的知识生产模式相比,超学科知识生产模式具有应用语境性、超学科性、异质性、反思性和质量控制标准多元性等典型特征,因而可以对农村地区多媒体英语教学具有良好的启示作用。     

山西省高速公路集约用地评价

对高速公路用地进行集约用地评价,可以为未来区域土地利用提供决策依据。从高速公路的用地结构、用地功能和与外部因素的协调性出发,对山西高速公路建设用地的集约利用程度作出评价。结果表明:2001~2010年,山西省高速公路用地数量有所增长,其结构不断调整,功能不断增强,与人口、社会经济的协调性也不断加强,集约度不断提高。未来10年,山西省高速公路将迅速发展,必须加大集约利用力度,以尽可能少的用地满足人类社会发展对公路交通运输的需求。     

砂田甜瓜套作向日葵系统的养分利用研究

2010—2013年在庄浪县进行的砂田甜瓜套作向日葵系统的养分利用研究的结果表明,无论在甜瓜的初花期、座果期、膨大期套作食葵或油葵,套作系统比单作明显提高了作物的吸氮量、吸磷量和吸钾量。氮吸收量比单作增加50%~59%,磷吸收量比单作增加12%~41%,钾吸收量比单作增加33%~68%。     

邵阳县塘田市镇土地整理区烟田土壤肥力特征

土壤养分状况直接影响作物的产量高低和品质优劣,土地整理导致土壤养分变异和肥力退化。研究了邵阳县塘田市镇土地整理对烟田土壤肥力的影响。结果表明:塘田市镇土地整理区耕作层的干扰土壤强酸性、有机质缺乏,低含量水平碱解氮、高含量水平有效磷及低含量水平速效钾的土壤所占比例较大。存在的问题在于耕作层土壤p H值偏低,酸化明显;土壤养分适宜性调控空间大。     

广西鹿寨县耕地质量等别调查与评价

以鹿寨县为列,介绍了广西自治区县级耕地质量等别评价方法,详细分析了耕地质量等别评价结果,揭示了鹿寨县耕地质量等别结构和空间分布规律。     

农村基层党组织“枢纽型”人才开发模式研究——以农村党建助理员和乡村振兴协理员为例

深入推进 “街乡吹哨，部门报到 ”工作需要农村基层党组织培养更多 “枢纽型 ”人才。通过对北京怀柔区和门头沟区等地党建助理员和乡村振兴协理员进行专题调研，发现农村基层党组织人才培养存在重形式轻评估、重制度轻机制、重业务轻意识等问题，建议从标准化课程、全域化师资、规范化流程、交互化平台、长效化管理等五个方面开展人才培养系统工程建设，从而更好地为京郊农村社会事业发展服务。     

广东新农村建设的现状分析与发展对策

针对广东新农村建设存在的规划滞后、资源浪费、污染严重、社会管理水平低、环保意识薄弱等问题，提出用生态文明理念引领新农村建设以及建设广东生态文明新农村的对策。     

建设用地集约利用评价指标的权重确定方法研究

基于建设用地集约利用评价指标,应用文献统计法和综合分析法,阐述了中国建设用地及建设用地集约利用评价指标权重赋权方法的现状,着重研究了各种权重确定方法在建设用地集约评价中的实践应用,并对其进行总结和讨论,探讨了建设用地集约利用评价指标权重确定方法的发展趋势.     

Land surface temperature retrieval for arid regions based on Landsat-8 TIRS data:a case study in Shihezi,Northwest China

Scientific interest in geophysical information about land surface temperature （LST） is ever increasing, as such information provides a base for a large number of applications, including environmental and agricultural monitoring. Therefore, the research of LST retrieval has become a hot topic. Recent availability of Landsat-8 satel- lite imagery provides a new data source for LST retrieval. Hence, exploring an adaptive method with reliable ac- curacy seems to be essential. In this study, basing on features of Landsat-8 TIRS thermal infrared channels, we re-calculated parameters in the atmospheric transmittance empirical models of the existing split-window algorithm, and estimated the ground emissivity with the help of the land cover classification map of the study area. Further- more, a split-window algorithm was rebuilt by virtual of the estimation model of the updated atmospheric transmit- tance and the ground emissivity, and then a remote sensing retrieval for the LST of Shihezi city in Xinjiang Uygur autonomous region of Northwest China was conducted on the basis of this modified algorithm. Finally, precision validation of the new model was implemented by using the MODIS LST products. The results showed that the LST retrieval from Landsat-8 TIRS data based on our algorithm has a higher credibility, and the retrieved LST is more consistent with the MODIS LST products. This indicated that the modified algorithm is suitable for retrieving LST with competitive accuracy. With higher resolutions, Landsat-8 TIRS data may provide more accurate observation for LST retrieval.     

Monitoring desertification processes in Mongolian Plateau using MODIS tasseled cap transformation and TGSI time series

Most remote sensing studies assess the desertification using vegetation monitoring method. But it has the insufficient precision of vegetation monitoring for the limited vegetation cover of the desertification region. Therefore, it offers an alternative approach for the desertification research to assess sand dune and sandy land change using remote sensing in the desertification region. In this study, the indices derived from the well-known tasseled cap transformation(TCT), tasseled cap angle(TCA),disturbance index(DI), process indicator(PI), and topsoil grain size index(TGSI) were integrated to monitor and assess the desertification at the thirteen study sites including sand dunes and sandy lands distributed in the Mongolian Plateau(MP) from 2000 to 2015. A decision tree was used to classify the desertification on a regional scale. The average overall accuracy of 2000, 2005, 2010 and 2015 desertification classification was higher than 90%. Results from this study indicated that integration of the advantages of TCA, DI and TGSI could better assess the desertification. During the last 16 years, Badain Jaran Desert, Tengger Desert, and Ulan Buh Desert showed a relative stabilization. Otindag Sandy Land and the deserts of Khar Nuur, Ereen Nuur, Tsagan Nuur, Khongoryn Els, Hobq, and Mu Us showed a slow increasing of desertification, whereas Bayan Gobi, Horqin and Hulun Buir sandy lands showed a slow decreasing of desertification. Compared with the other 11 sites, the fine sand dunes occupied the majority of the Tengger Desert, and the coarse sandy land occupied the majority of the Horqin Sandy Land. Our findings on a three or four years' periodical fluctuated changes in the desertification may possibly reflect changing precipitation and soil moisture in the MP. Further work to link the TCA, DI,TGSI, and PI values with the desertification characteristics is recommended to set the thresholds and improve the assessment accuracy with field investigation.