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Soil Salinity and Alkalinity Map Preparation Based on Spatial Analysis of GIS (Case Study: Tabriz Plain)

机译:基于GIS的空间分析的土壤盐度和碱性图制备(案例研究:Tabriz Plain)

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Better management of agricultural fields is related to valuable information which can derived from soil salinity and alkalinity maps. These maps are considered as one of the most important factors which restrict plant growth as well as decline crops yield. The objective of this research was preparing of soil salinity and alkalinity maps in Tabriz plain over 50,000 hectares based on different techniques of spatial analysis in GIS software. For this mean, study area was divided in 1500 × 1500 m2 grid cells. Then, geographical coordinate of each grid recorded in UTM system. So, they were transferred into GPS for navigating to the exact excavation location. After soil sampling and transferring to the lab, their EC and PH were measured in saturation extract of soil samples. So, spatial distribution of soil sampling points was prepared in form of point map by GIS software. Generalization of point information to surface was performed using different interpolation algorithms and based on standards of Soil and Water Research Institute. Accuracy of interpolated maps was evaluated due to the MAE and MBE values. The results showed that the lowest observed error is related to the Spline method and therefore, this method was used for spatial modeling of salinity and alkalinity maps in the intended area. The research findings demonstrated that from total of 50,000 hectares, only 3066 hectares were without salinity and alkalinity limitation (6.1%), 9066 hectares had low salinity and alkalinity (18.1%); 17,772 hectares had average limitation for salinity and alkalinity (35.6%) and the remaining 20,096 hectares had high and very high limitation for salinity and alkalinity.
机译:更好地管理农业领域与源自土壤盐度和碱度图的宝贵信息有关。这些地图被认为是限制植物生长的最重要因素之一,也是衰退作物产量。本研究的目的是在GIS软件中的不同空间分析技术的不同技术基于50,000公顷的Tabriz平原中的土壤盐度和碱度图制备。对于这种平均值,研究区分为1500×1500平方米的网格细胞。然后,在UTM系统中记录的每个网格的地理坐标。因此,它们被转移到GPS,以导航到确切的挖掘位置。在土壤取样和转移到实验室后,在土壤样品的饱和提取物中测量其EC和pH。因此,GIS软件以点图的形式制备土壤采样点的空间分布。利用不同的插值算法和基于土壤和水研究所标准进行地表的点信息的概括。由于MAE和MBE值,评估内插地图的准确性。结果表明,观察到的误差最低与样条法有关,因此,该方法用于预期区域中盐度和碱度图的空间建模。研究结果表明,从总共50,000公顷,只有3066公顷没有盐度和碱度限制(6.1%),9066公顷具有低盐度和碱度(18.1%); 17,772公顷的盐度和碱度的平均限制(35.6%),其余20,096公顷具有高且非常高的盐度和碱度限制。

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