CARACTERIZACIÓN Y ZONIFICACIÓN EDÁFICA Y CLIMÁTICA DE LA REGIÓN DE COQUIMBO, CHILE

S. LuisMorales, M. FabricioCanessa, C. Mattar, Raúl Orrego, Francisco Matus
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引用次数: 15

Abstract

This study consisted in the evaluation and classification of edaphic and climatic resources in the Coquimbos Region using topoclimatics algorithms and satellite images, integrated in GIS environment. We used 78 climatic stations where mean annual and monthly precipitation and mean annual and monthly temperature, relative humidity and solar radiation were recorded. Isolines cartography and a digital elevation model in scale 1:250.000 were also used. To estimate the spatial distribution of the climatic variables, we tested different multiples regressions between topographic variables and climate data. This process conduced to the elaboration of a spatialized matrixes of climatic variables in 1:250.000 scale. This procedure allowed us to calculate variables such as sum of temperature, cumulative cold hours, free frost period, potential evapotranspiration, humidity index, for examples, and compare regression and lineal interpolation spatialization methods. To make the topoclimatic division a multivariate analysis was used. Particularly, clusters analysis with a K-means algorithm was conducted and 17 thermal, hydrical and energetical climatic variables were considered. Our results showed 37 topoclimatic districts cross-checked with different soil (serie level) obtaining a edafic and climatic (Edafoclimatic) classification of about 1.292 zones. This classification was though to be useful tool to organize agricultural goal activities.
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智利科金博地区土壤和气候的特征和分区
本研究利用地形气候算法和卫星图像,在GIS环境下对科金博斯地区的地理和气候资源进行了评价和分类。我们利用78个气候站记录了年、月平均降水量、年、月平均气温、相对湿度和太阳辐射。等值线制图和1:25 .000比例尺的数字高程模型也被使用。为了估计气候变量的空间分布,我们在地形变量和气候数据之间进行了不同的多元回归。这一过程导致了1:25 .000尺度的气候变量的空间化矩阵的细化。该程序允许我们计算诸如温度总和、累积冷时数、自由霜冻期、潜在蒸散、湿度指数等变量,并比较回归和线性插值空间化方法。为了进行地形气候区划,采用了多变量分析方法。特别地,利用K-means算法进行了聚类分析,并考虑了17个热、水和能量气候变量。结果表明,37个地形气候带与不同的土壤(等级)进行了交叉检验,得到了约1.292个地形气候(edafocatic)分类。这种分类被认为是组织农业目标活动的有用工具。
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