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.     

Egg production of Calanus finmarchicus—A basin-scale study

Egg production of Calanus finmarchicus was studied during joint basin-scale surveys in April–June 2003 in the Norwegian Sea. Surveys covered the whole Norwegian Sea and were conducted from Norwegian, Icelandic and Faroese research vessels. Stations were classified as being in pre-bloom, bloom or post-bloom phase according to levels of chlorophyll a and nitrate. Individual egg production rates and population egg production rates were calculated and compared between areas. Both individual egg production rates (eggs female⁻¹ day⁻¹) and population egg production rates (eggs m⁻² day⁻¹) were significantly higher in bloom areas compared with pre-bloom and post-bloom areas. However, when integrated over an estimated duration of the three phases, the time-integrated egg production (eggs m⁻²) in most years was highest in the pre-bloom phase, and this was explained by the longer duration of this phase compared with the two other phases.     

长江口及济州岛邻近海域温、盐、密度的跃层现象

本文根据CTD观测资料,分析了研究海区的温、盐、密度跃层的分布与变化,讨论了逆温逆盐层的分布区域,并从跃层角度出发,分析了深层水的涌升,黄海冷水团的上边界以及台湾暖流在东海北部的影响范围。     

黄河流域2002年麦收期间一次强降水过程分析

本文通过对陕西南部的佛坪县2002年6月8日——lO日的降水达到了489mm的特大暴雨降水过程的初步分析，对进一步了解大尺度环流背境场下的强降水过程的成因，提高对暴雨天气过程的预报能力是非常有益的；本文收集的降水过程期间的天气图和传真图资料对预报员和海洋工程技术人员有参考价值。     

基于Spring和ArcIMS的WEBGIS的设计与实现研究

立足于Spring框架和ArcIMS的平台,设计了基于Spring和ArcIMS的WebGIS系统的总体架构。把WebGIS系统和java的轻量级框架Spring结合起来,充分运用了Spring框架的优点,既使WebGIS系统层次清晰和容易维护,又简化了J2EE框架开发的复杂性。对探讨和设计基于框架的WebGIS系统具有一定的参考意义。     

Regional yield estimation for winter wheat with MODIS-NDVI data in Shandong, China

The significance of crop yield estimation is well known in agricultural management and policy development at regional and national levels. The primary objective of this study was to test the suitability of the method, depending on predicted crop production, to estimate crop yield with a MODIS-NDVI-based model on a regional scale. In this paper, MODIS-NDVI data, with a 250 m resolution, was used to estimate the winter wheat (Triticum aestivum L.) yield in one of the main winter-wheat-growing regions. Our study region is located in Jining, Shandong Province. In order to improve the quality of remote sensing data and the accuracy of yield prediction, especially to eliminate the cloud-contaminated data and abnormal data in the MODIS-NDVI series, the Savitzky–Golay filter was applied to smooth the 10-day NDVI data. The spatial accumulation of NDVI at the county level was used to test its relationship with winter wheat production in the study area. A linear regressive relationship between the spatial accumulation of NDVI and the production of winter wheat was established using a stepwise regression method. The average yield was derived from predicted production divided by the growing acreage of winter wheat on a county level. Finally, the results were validated by the ground survey data, and the errors were compared with the errors of agro-climate models. The results showed that the relative errors of the predicted yield using MODIS-NDVI are between −4.62% and 5.40% and that whole RMSE was 214.16 kg ha⁻¹ lower than the RMSE (233.35 kg ha⁻¹) of agro-climate models in this study region. A good predicted yield data of winter wheat could be got about 40 days ahead of harvest time, i.e. at the booting-heading stage of winter wheat. The method suggested in this paper was good for predicting regional winter wheat production and yield estimation.     

河南黄淮平原土壤中Cu的生态安全评价

在分析河南黄淮平原土壤和小麦籽实中Cu含量分布特征的基础上,利用单项污染指数法对研究区小麦籽实中Cu的污染状况进行评价。其结果为：研究区小麦籽实中Cu的单项污染指数Pi的平均值为0．473,说明研究区小麦籽实未受Cu的污染。Cu的状况良好。进一步讨论了土壤中Cu的含量与小麦籽实中Cu含量间的关系。认为小麦籽实中Cu的积累与土壤中的总Cu无明显的相关关系,而与土壤中的有效态Cu含量具有明显的相关性。据此,将土壤有效态Cu作为土壤Cu生态安全评价的指标。并建立了小麦籽实Cu与土壤有效Cu的响应关系模型,确定了土壤中有效Cu的安全界限值。     

Is the spring water responsible for the fossilization of faunal remains at Florisbad, South Africa?

It is has been suggested that faunal remains at Florisbad were fossilized in a spring context due to the mineralized spring water. However, the environment conducive to the precipitation of CaCO₃ and other authigenic minerals was formed largely through the salinization of the organic layers and clay, and the mineralization of the groundwater. Factors contributing to this favorable environment include: CaCO₃ saturation, pH, the decomposition of halophytes, Eh, rainfall, biomineralization, and aeolian deposition. With the exception of pH, none of the above factors feature in a spring context, with evidence suggesting that the spring water may historically never have carried sufficient minerals for fossilization, and that contact with the spring water may actually have resulted in the demineralization of previously fossilized material. In light of this evidence, it is concluded that the fossilization of faunal remains at Florisbad took place in a sedimentary organic matter and clay environment and could not have taken place in the spring vents where there is an undersaturation of Ca.     

卫星遥感在秸秆焚烧监测中的应用

通过对MODIS光谱特征的分析，提出了一种综合运用3S技术进行秸秆焚烧动态监测的资料处理流程和量化判识指标。通过在关中地区2004年麦秸秆焚烧监测中的应用，效果良好，为政府部门迅速、准确地了解全省秸秆焚烧情况，提高预警能力和监督检查的效率提供了科学依据。     

近地层O3和CO2浓度变化对冬小麦影响的数值模拟：Ⅱ模拟结果和分析

针对CO2和O3浓度变化对冬小麦影响,改进了农田生态系统碳氮生物化学模型(DNDC),并利用模型模拟了O3和CO2浓度变化对冬小麦生长发育和产量的影响,检验了模型的模拟效果.通过对原DNDC模型适用性的调整,使之适用于固城站,为进一步改进作物模型打下了可靠的基础.通过试验资料验证表明,模型较好地反映了O3和CO2浓度变化对冬小麦生长发育和产量形成的影响.通过敏感性分析得出,模型对温度变化反映灵敏;在CO2浓度倍增情况下,O3浓度变化对冬小麦的复合影响分析看出,一定浓度范围内,CO2可缓解O3对作物影响的负效应,O3对CO2带来的正效应有削弱作用.