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基于GIS的喀斯特山区实照时数时空分布研究——以广西巴马瑶族自治县为例
引用本文:张超,吴良林,杨妮,蓝春柳,邓树林.基于GIS的喀斯特山区实照时数时空分布研究——以广西巴马瑶族自治县为例[J].自然资源学报,2014,29(11):1968-1977.
作者姓名:张超  吴良林  杨妮  蓝春柳  邓树林
作者单位:1. 广西师范学院地理科学与规划学院, 南宁530001;
2. 北部湾环境演变与资源利用省部共建教育部重点实验室, 南宁530001;
3. 广西地表过程与智能模拟重点实验室, 南宁530001
基金项目:国家自然科学基金(40961004)。
摘    要:论文采用基于DEM的起伏地形下实照时数计算模型,以广西巴马县为例,在GIS技术的支持下对研究区域实照时数的时空分布进行模拟和结果验证,结果表明,研究区域内实照时数模拟值和气象站实测值之间具有较好的一致性,决定系数高达0.996。并探讨喀斯特地区实照时数的时空分布特点,分析了不同时间尺度下实照时数的变化情况,讨论坡度、坡向、地形起伏度和地表粗糙度等地形因子对实照时数空间分布的影响。该方法可为喀斯特地区提供重要的气候基础数据,对喀斯特地区小气候和农业气象资源分布的研究有重要意义。

关 键 词:实照时数  喀斯特  GIS  
收稿时间:2013-11-18
修稿时间:2014-02-24

Study on Temporal and Spatial Distribution of Sunshine Duration Based on GIS in Karst Mountain Area -Taking Guangxi Bama County for Example
ZHANG Chao,WU Liang-lin,YANG Ni,LAN Chun-liu,DENG Shu-lin.Study on Temporal and Spatial Distribution of Sunshine Duration Based on GIS in Karst Mountain Area -Taking Guangxi Bama County for Example[J].Journal of Natural Resources,2014,29(11):1968-1977.
Authors:ZHANG Chao  WU Liang-lin  YANG Ni  LAN Chun-liu  DENG Shu-lin
Institution:1. College of Geography and Planning, Guangxi Teachers'Education University, Nanning 530001, China;
2. Key Laboratory of Beibu Gulf Environment Change and Resources Use, Ministry of Education, Nanning 530001, China;
3. Guangxi Key Laboratory of Earth Surface Processes and Intelligent Simulation, Nanning 530001, China
Abstract:This article, using the computational model of sunshine duration based on DEM in rugged terrains and taking Guangxi Bama County as the example, with the aid of GIS technology, modeled the of monthly sunshine duration and validated the result. Validation determined that the simulated data were in agreement with the measured data from the meteorological station, with a determined coefficient of 0.996. Discussing the characteristics of spatial and temporal distribution of sunshine duration in karst area, it explored the change rules of sunshine duration in different time scales and analyzed the influence of terrain factors such as slope, aspect, relief degree of land surface and surface roughness etc. to sunshine duration. This method could provide essential data of climate, which is significant to the analysis of microclimate and agricultural climate resources distribution in karst area.
Keywords:karst  sunshine duration  GIS
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