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| 1 | Distributed modeling of monthly air temperatures over the rugged terrain of the Yellow River Basin显示文摘Our analyses of the monthly mean air temperature of meteorological stations show that altitude,global solar radiation and surface effective radiation have a significant impact on air temperature.We set up a physically-based empirical model for monthly air temperature simulation.Combined the proposed model with the distributed modeling results of global solar radiation and routine meteorological observation data,we also developed a method for the distributed simulation of monthly air temperatures over rugged terrain.Spatial distribution maps are generated at a resolution of 1 km×1 km for the monthly mean,the monthly mean maximum and the monthly mean minimum air temperatures for the Yellow River Basin.Analysis shows that the simulation results reflect to a considerable extent the macro and local distribution characteristics of air temperature.Cross-validation shows that the proposed model displays good stability with mean absolute bias errors of 0.19℃-0.35℃.Tests carried out on local meteorological station data and case year data show that the model has good spatial and temporal simulation capacity.The proposed model solely uses routine meteorological data and can be applied easily to other regions. | ZENG Yan QIU XinFa HE YongJian SHI GuoPing LIU ChangMing | 2009 | Science China Earth Sciences2009，52，5： | 11 |
| 2 | Distributed modeling of direct solar radiation on rugged terrain of the Yellow River Basin显示文摘Dueto the influencesoflocaltopographicalfactorsand terrain inter-shielding,calculation of directsolar radiation (DSR) quantity of rugged terrain is very complex.Based on digitalelevation model (DEM ) data and meteorological observations,a distributed model for calculating DSR over rugged terrain is developed.This modelgives an all-sided consideration on factors influencing DSR. Using thedeveloped model,normalsofannualDSR quantity with aresolution of1 km × 1 km forthe Yellow River Basin was generated, with DEM data as the general characterization of terrain. Characteristics ofDSR quantity influenced by geographic and topographic factors overrugged terrain were analyzed thoroughly.Results suggestthat:influenced by localtopographic factors,i.e.azimuth, slope and so on,and annualDSR quantity overmountainousarea hasa clearspatialdifference;annual DSR quantity ofsunny slope (orsouthern slope)ofmountains is obviously largerthan thatofshady slope (ornorthern slope).The calculated DSR quantity ofthe Yellow RiverBasin is provided in the same way as other kinds of spatialinformation and can be employed as basic geographic data for relevantstudiesaswell. | ZENG Yan QIU Xinfa LIU Changming JIANG Aijun | 2005 | Journal of Geographical Sciences2005，15，4： | 4 |
| 3 | Influence of complex topography on global solar radiation in the Yangtze River Basin显示文摘全球太阳的放射(GSR ) 是全球精力的最直接的来源和形式,并且它的数量的计算由于本地地形学和地面的影响是高度复杂的内部防护。数字举起模型(DEM ) 数据作为复杂地面和复合状况的一个代表生产一系列地志的因素(例如斜坡,方面,等等) 。基于 1 个 km 决定 DEM 数据,气象学的观察和 NOAA-AVHRR 遥感数据,为在在长江盆以内的崎岖地面上的 GSR 的计算的一个分布式的模型被开发了。贯穿的模型为崎岖地形学允许天体的太阳的放射的计算并且包括一个分布式的直接太阳的放射模型,一个分布式的弥漫的放射模特儿和分布式的地面反射放射当模特儿。用发达模型, GSR 空间分发和可视化的量的模拟被承担了,与随后关于地区和地面分析的结果。分析建议那 GSR 大小季节地被影响,当影响的度被发现与增加高度在同时发生增加时。而且, GSR 大小关于主导的本地方面展出了清楚的空间变化;与阳光充足的南部的斜坡联系的 GSR 价值比与遮的斜坡联系的那些显著地大。错误分析显示 12.983 MJm 的一个吝啬的绝对错误<啜class=“ a-plus-plus ”> 2 和3.608%的一个吝啬的相对错误,当结果基于一个地点认证过程显示 22.621 MJm 的一个绝对错误时<啜class=“ a-plus-plus ”> 2 和4.626%的一个相对错误。 | WANG Li QIU Xinfa WANG Peifa WANG Xiaoying LIU Aili | 2014 | Journal of Geographical Sciences2014，24，6： | 4 |
| 4 | Distributed Modeling of Extraterrestrial Solar Radiation Over the Rugged Terrains of Pakistan显示文摘In Pakistan,the solar analogue has been addressed but its surface geographical parameterization has given least attention.Inappropriate density of stations and their spatial coverage particularly in difficult peripheral national territories,little or no solar radiation data,non-satisfactory sunshine hours data,and low quality of ground observed cloud cover data create a situation in which the spatial modeling of Extraterrestrial Solar Radiation(ESR) and its ground parameterization got sufficient scope.The Digital Elevation Model (DEM) input into Geographic Information System (GIS) is a compatible tool to demonstrate the spatial distribution of ESR over the rugged terrains of the study domain.For the first time,distributed modeling of ESR is done over the rugged terrains of Pakistan,based on DEM and ArcGIS..Results clearly depict that the complex landforms profoundly disrupt the zonal distribution of ESR in Pakistan.The screening impact of topography is higher on spatial distribution of ESR in winter and considerably low in summer.The combined effect of topography and latitude is obvious.Hence,the model was further testified by plotting Rb (ratio of ESR quantity over rugged terrain against plane surface) against azimuth at different latitudes with different angled slopes.The results clearly support the strong screening effect of rugged terrain through out the country especially in Himalayas,Karakoram and Hindukush (HKH),western border mountains and Balochistan Plateau.This model can be instrumental as baseline geospatial information for scientific investigations in Pakistan,where substantial fraction of national population is living in mountainous regions. | Romana AMBREEN QIU Xinfa Iftikhar AHMAD | 2011 | Journal of Mountain Science2011，8，3： | 3 |
| 5 | New Method for Estimating Daily Global Solar Radiation over Sloped Topography in China显示文摘A new scheme for the estimation of daily global solar radiation over sloped topography in China is developed based on the Iqbal model C and MODIS cloud fraction. The effects of topography are determined using a digital elevation model. The scheme is tested using observations of solar radiation at 98 stations in China, and the results show that the mean absolute bias error is 1.51 MJ m^(-2) d^(-1) and the mean relative absolute bias error is 10.57%. Based on calculations using this scheme,the distribution of daily global solar radiation over slopes in China on four days in the middle of each season(15 January,15 April, 15 July and 15 October 2003) at a spatial resolution of 1 km × 1 km are analyzed. To investigate the effects of topography on global solar radiation, the results determined in four mountains areas(Tianshan, Kunlun Mountains, Qinling,and Nanling) are discussed, and the typical characteristics of solar radiation over sloped surfaces revealed. In general, the new scheme can produce reasonable characteristics of solar radiation distribution at a high spatial resolution in mountain areas,which will be useful in analyses of mountain climate and planning for agricultural production. | Guoping SHI Xinfa QIU Yan ZENG | 2018 | Advances in Atmospheric Sciences2018，35，3： | 2 |
| 6 | Distributed modeling of the beginning and ending dates and durations of limited temperatures over the rugged terrain of Chongqing显示文摘A physically based empirical model was established for the beginning and ending dates(BED) of limited temperatures.Data used were daily mean temperatures from 34 conventional stations in the Chongqing region,measured from 1961 to 2000.Using this model in combination with the distributed modeling results of monthly mean temperatures,we developed a method for creating a distributed simulation of the BED and durations of limited temperatures in the rugged terrain of Chongqing.Spatial distribution maps were generated at a resolution of 100×100 m for the BED and durations of the limited temperatures of 0,10,15 and 20.Simulations suggest that the distributed model is able to successfully reveal the macroscopic trends and local distributions.For the modeled BED,the mean absolute bias error is 0.6-2.4 d. Cross-validation and case-year tests show mean absolute bias errors of 1.3-2.8 d and 0.7-2.5 d,respectively.Comparison shows that the simulation results are consistent with the field investigations.This implies that the simulations are as good as observations,thus providing a viable technique for simulating mountainous heat resources using conventional meteorological data. | Xinfa Qiu Guoping Shi Yan Zeng Zongya Bian Jingmei Wei | 2009 | Progress in Natural Science:Materials International2009，19，12： | 0 |
| 7 | Automatic drawing of the geologic profile of an underground mine based on COMGIS显示文摘这篇论文介绍造地质的侧面的一个原型系统的一个方法绘画汽车。一个 .NET 开发平台和综合环境与一个基于部件的图案,一个 B/S 系统模型,和 XML 技术一起被使用。创造地质的侧面并且从存在产生虚拟钻的数据的知识规则厌烦数据和专家,绘画手的地质的侧面被获得。然后,一个原型系统被在阶层之中利用已知的知识规则,拓扑的关系,和语义关系建立。这个系统让一个友好人的鈥揷o mputer 接口和罐头满足在属性和空间数据之间的相互的询问的要求。产生侧面地图是可编辑的。这研究为地下的矿工作提供一个新强大的工具。 | Yin Jingqiu Qiu Xinfa Li Anbo Lu Mingyue | 2011 | Mining Science and Technology2011，21，1： | 0 |
| 8 | CAUSE,INDEX AND SPACE-TIME ARRANGEMENT OF AGRICULTURAL DROUGHT AND MEASURES TO PREVENT AND RESIST DROUGHT | Feng Dingyuan and Qiu Xinfa(Nanjing Institute of Meteorology) | 1996 | Natural Disaster Reduction in China1996，，1： | 0 |
| 9 | Refined Spatialization of 10-Day Precipitation in China Based on GPM IMERG Data and Terrain Decomposition Using the BEMD Algorithm显示文摘Continuous high spatial-resolution 10-day precipitation data are essential for crop growth services and phenological research.In this study,we first use the bidimensional empirical mode decomposition(BEMD)algorithm to decompose the digital elevation model(DEM)data and obtain high-frequency(OR3),intermediate-frequency(OR5),and low-frequency(OR8)margin terrains.Then,we propose a refined precipitation spatialization model,which uses ground-based meteorological observation data,integrated multi-satellite retrievals for global precipitation measurement(GPM IMERG)satellite precipitation products,DEM data,terrain decomposition data,prevailing precipitation direction(PPD)data,and other multisource data,to construct China's high-resolution 10-day precipitation data from2001 to 2018.The decomposition results show mountainous terrain from fine to coarse scales;and the influences of altitude,slope,and aspect on precipitation are better represented in the model after topography is decomposed.Moreover,terrain decomposition data can be added to the model simulation to improve the quality of the simulation product;the simulation quality of the model in summer is better than that in spring and autumn,and is relatively poor in winter;and OR5 and OR8 can be improved in the simulation,with better OR5 and OR8 dynamically selected.In addition,preprocessing the data before precipitation spatialization is particularly important.For example,adding 0.01to the 0 value of precipitation,multiplying the small value of precipitation less than 1 by 10,and performing the normal distributions transform(e.g.,Yeo–Johnson)on the data can improve the simulation quality. | Xiaochen ZHU Qiangyu LI Yan ZENG Guanjie JIAO Wenya GU Xinfa QIU Ailifeire WUMAER | 2023 | Journal of Meteorological Research2023，37，5： | 0 |
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