Regionalization for large area crop estimates by remote sensing     

Qian Huaisui 《中国地理科学(英文版)》1997,8(3):204-211

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.  相似文献   

Modelling of periodic wave transformation in the inner surf zone     

P. Bonneton   《Ocean Engineering》2007,34(10):1459-1471

In this paper, we analyse the ability of the nonlinear shallow-water (NSW) equations to predict wave distortion and energy dissipation of periodic broken waves in the inner surf zone. This analysis is based on the weak-solution theory for conservative equations. We derive a new one-way model, which applies to the transformation of non-reflective periodic broken waves on gently sloping beaches. This model can be useful to develop breaking-wave parameterizations (in particular broken-wave celerity expression) in both time-averaged wave models and time-dependent Boussinesq-type models. We also derive a new wave set-up equation which provides a simple and explicit relation between wave set-up and energy dissipation. Finally, we compare numerical simulations of both, the NSW model and the simplified one-way model, with spilling wave breaking experiments and we find a good agreement.  相似文献   

黄河流域2002年麦收期间一次强降水过程分析     

张德宇  颜梅  于连兵 《海洋湖沼通报》2003,(3):30-34

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。  相似文献   

Regional yield estimation for winter wheat with MODIS-NDVI data in Shandong, China   总被引：3，自引：0，他引：3  

Jianqiang Ren  Zhongxin Chen  Qingbo Zhou  Huajun Tang   《International Journal of Applied Earth Observation and Geoinformation》2008,10(4):403

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.  相似文献   

软弱夹层几何参数对试样力学行为影响颗粒元模拟研究   总被引：2，自引：0，他引：2  

张晓平  吴顺川  张兵  潘文 《工程地质学报》2008,16(4):539-545

基于离散元理论的颗粒元程序,采用颗粒接触连接模型和滑动模型,建立了含软弱夹层试样的颗粒元模型。通过数值模型实验,对不同软弱夹层几何参数试样进行加载模拟,探讨了不同夹层厚度及不同倾角条件下试样的破坏过程和破坏形式,并分析其对试样强度的影响。模拟结果表明,裂隙首先产生于软弱夹层处,随着荷载的增加,再逐渐扩展,呈现渐进性破坏特征;夹层越厚,倾角越大,试样沿软弱夹层呈现较强的滑动特征,如果夹层薄且缓,软弱夹层成为试样破坏的非控制因素;软弱夹层厚度和夹角对试样的峰值强度都有影响,随软弱夹层厚度和夹角的增大,试样的峰值强度降低。  相似文献   

河南黄淮平原土壤中Cu的生态安全评价     

王强恒  李瑞敏  王支农  曹峰  胡永华  付巧玲 《地质通报》2008,27(2):271-276

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。  相似文献   

卫星遥感在秸秆焚烧监测中的应用   总被引：6，自引：3，他引：6  

张树誉  李登科  李星敏  景毅刚 《气象》2005,31(9):83-86

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。  相似文献   

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   总被引：4，自引：2，他引：4  

郑昌玲  王春乙 《气象学报》2005,63(2):192-203

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.  相似文献   

O₃浓度增加对冬小麦影响的试验研究   总被引：11，自引：2，他引：11  

王春乙  郭建平  白月明  温民  刘骥平  刘江歌  李雷 《气象学报》2002,60(2):238-242

利用OTC 1型开顶式气室对冬小麦进行不同O3 浓度处理的试验研究。结果表明 ,O3 浓度增加 ,冬小麦发育期表现为开花前期有所延迟 ,开花后期的各发育期明显提前 ,生育期缩短 ,植株矮化 ,干物质累积量明显下降。无论是长时期通气处理还是阶段性通气处理 ,产量均明显降低  相似文献   

3S一体化技术支持下的西南地区冬小麦估产——以安宁河谷四县为例   总被引：4，自引：2，他引：4  

江晓波  李爱农  周万村 《地理研究》2002,21(5):585-592

农作物遥感估产已经是广泛应用的技术 ,但由于西南地区复杂的地貌类型以及遥感信息源等因素的限制 ,农作物估产方面的研究起步较晚 ,因而研究山区的农作物遥感估产对西南地区有重要的理论价值和现实意义。安宁河谷为一南北走向的山间盆地 ,是四川省第二大粮食生产基地。本文运用遥感 (RemoteSensing)、地理信息系统 (GIS)和全球定位系统(GPS)———简称 3S ,采取全数字式判读方式提取冬小麦的播种面积 ,进行野外点、线采样 ,并利用数理统计方法 ,建立了该地区的冬小麦估产模型  相似文献