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首页> 外文期刊>Soil and Water Research >Estimation of soil erosion using USLE and GIS in the locality of Tzicatlacoyan, Puebla, México
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Estimation of soil erosion using USLE and GIS in the locality of Tzicatlacoyan, Puebla, México

机译:用富含ULE和GIS在Tzicatlacoyan,Puebla,México的局部土壤侵蚀的估算

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摘要

Deforestation and conversion of natural grasslands to agricultural land constitute two of the main threats to soil and water conservation, causing erosion, and likely, desertification. The objective of this study was to estimate the erosion of the soil in the locality of Tzicatlacoyan, applying the Universal Soil Loss Equation (USLE) through Geographic Information Systems (GIS). The results indicated that Tzicatlacoyan faces risk of soil erosion with an average annual rate of 117.18 t/ha?year, due to natural factors and anthropogenic activities such as the use of agricultural land without appropriate conservation practices. Four classes of soil erosion risk were identified, according to the rate of erosion (A) in t/ha?year: extreme risk (114 ≥ A ≤ 234.36), severe risk (59 ≥ A 114), moderate risk (23?≥ A ?59), and low risk (A 23). Most of the area (180.96 km2, 64.83%) was characterised by the low risk of erosion, while a small part (11.64 km2, 4.17%) of the study area showed extreme risk. The results indicated that 13.33% of the territory of Tzicatlacoyan present values of soil loss exceeding tolerable. The assessment of the soil erosion using the USLE model and GIS might allow land users to make better decisions about the use and conservation of the soil and the ecosystem, adding scientific criteria to their traditional knowledge.
机译:天然草原对农业土地的森林砍伐和转化构成了对土壤和水资源保护,造成侵蚀和可能,荒漠化的两个主要威胁。本研究的目的是估算Tzicatlacoyan的局部土壤的侵蚀,通过地理信息系统(GIS)应用通用土壤损失方程(USLE)。结果表明,Tzicatlacoyan面临土壤侵蚀的风险,平均年增长率为117.18吨/小时?一年,由于自然因素和人为的活动,如农业用地没有适当的保护做法。根据T / HA的侵蚀率(a)的速度,确定了四种阶段的土壤侵蚀风险?年份:极端风险(114≥a≤234.36),严重风险(59≥<114),风险适中(23? ≥<?59),风险低(<23)。该地区的大部分(180.96 km2,64.83%)的特点是侵蚀的风险低,而小部分(11.64 km2,4.17%)的研究区表现出极端的风险。结果表明,Tzicatlacoyan的13.33%的土壤损失价值超过可容忍。使用USLE模型和GIS对土壤侵蚀的评估可能允许土地用户对土壤和生态系统的使用和保护做出更好的决定,为其传统知识增加科学标准。

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