Potencial productivo agrícola y modelación del cambio climático en la cuenca del Papaloapan

IF 0.1 Q4 SOCIAL SCIENCES, INTERDISCIPLINARY Revista Ra Ximhai Pub Date : 2022-09-30 DOI:10.35197/rx.18.04.2022.07.ab
A. I. Barrera-Rodríguez, Adán Guillermo Ramírez-García, Elvia Nereyda Rodríguez-Sauceda, A. Espejel-García
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Abstract

The objective of this work was to make a proposal for potential land use and the projection of climate change scenarios in the Papaloapan basin, using the multi-criteria and multi-objective analysis technique to generate potential capabilities in the basin. From the greatest aptitude, the scenarios were generated using the methodology for Maximum Entropy. The hydrological region was delimited through cartographic material and climatic information was obtained from meteorological stations, geographic information and databases were collected from official secondary sources, the information was processed in the ArcGIS version 10.2.2 program, to obtain the geodatabases and geospatial matrices that served as cartographic input for the multi-criteria analysis. Based on the geospatial matrices and vector data, raster data were generated, which were used in the modeling with geo-statistical algorithms and potential zones were identified from a structured language. The result of the modeling regarding the suitability of the soil generated two classes with six levels of suitability: land for basic crops and for the cultivation of species of industrial importance and two climate change scenarios, current and future.
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Papaloapan盆地的农业生产潜力和气候变化建模
这项工作的目的是利用多标准和多目标分析技术,为帕帕洛潘盆地的潜在土地利用和气候变化情景预测提出建议,以产生该盆地的潜在能力。根据最大能力,使用最大熵方法生成场景。水文区域是通过制图材料划定的,气候信息是从气象站获得的,地理信息和数据库是从官方的二级来源收集的,信息在ArcGIS 10.2.2版程序中处理,以获得用作多准则分析的制图输入的地理数据库和地理空间矩阵。基于地理空间矩阵和矢量数据,生成了光栅数据,这些数据用于地理统计算法的建模,并通过结构化语言识别潜在区域。关于土壤适宜性的建模结果产生了两类具有六个适宜性水平的土地:用于基本作物和具有工业重要性的物种种植的土地,以及当前和未来的两种气候变化情景。
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来源期刊
Revista Ra Ximhai
Revista Ra Ximhai SOCIAL SCIENCES, INTERDISCIPLINARY-
自引率
0.00%
发文量
12
审稿时长
13 weeks
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