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Irrigation salinity hazard assessment and risk mapping in the lower Macintyre Valley, Australia

机译:澳大利亚麦金太尔河谷下游的灌溉盐度危害评估和风险绘图

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摘要

In the Murray-Darling Basin of Australia, secondary soil salinization occurs due to excessive deep drainage and the presence of shallow saline water tables. In order to understand the cause and best management, soil and vadose zone information is necessary. This type of information has been generated in the Toobeah district but owing to the state border an inconsistent methodology was used. This has led to much confusion from stakeholders who are unable to understand the ambiguity of the results in terms of final overall risk of salinization. In this research, a digital soil mapping method that employs various ancillary data is presented. Firstly, an electromagnetic induction survey using a Geonics EM34 and EM38 was used to characterise soil and vadose zone stratigraphy. From the apparent electrical conductivity (EC_a) collected, soil sampling locations were selected and with laboratory analysis carried out to determine average (2-12 m) clay and EC of a saturated soil-paste extract (EC_e). EM34 EC_a, land surface parameters derived from a digital elevation model and measured soil data were used to establish multiple linear regression models, which allowed for mapping of various hazard factors, including clay and EC_e, EM38 EC_a data were calibrated to deep drainage obtained from Salt and Leaching Fraction (SaLF) modelling of soil data. Expert knowledge and indicator kriging were used to determine critical values where the salinity hazard factors were likely to contribute to a shallow saline water table (i.e., clay ≤35%; EC_e > 2.5 dS/m, and deep drainage > 100 mm/year). This information was combined to produce an overall salinity risk map for the Toobeah district using indicator kriging. The risk map shows potential salinization areas and where detailed information is required and where targeted research can be conducted to monitor soil conditions and water table heights and determine best management strategies.
机译:在澳大利亚的默里-达令盆地,由于过度的深排水和浅层地下水位的存在,使土壤次生盐碱化。为了了解原因和最佳管理,需要土壤和渗流带信息。此类信息是在Toobeah地区生成的,但是由于州边界的原因,使用了不一致的方法。这导致利益相关者感到困惑,他们无法理解盐渍化最终总体风险方面的结果模棱两可。在这项研究中,提出了一种采用各种辅助数据的数字土壤制图方法。首先,使用Geonics EM34和EM38进行电磁感应测量来表征土壤和渗流带地层。从收集的表观电导率(EC_a)中选择土壤采样位置,并进行实验室分析,以确定饱和土浆提取物(EC_e)的平均粘土(2-12 m)和EC。 EM34 EC_a,从数字高程模型导出的地表参数和测得的土壤数据用于建立多个线性回归模型,从而可以绘制各种危险因素的图,包括黏土和EC_e,将EM38 EC_a数据校准为从盐分获得的深层排水和土壤数据的淋洗分数(SaLF)建模。专家知识和指标克里金法用于确定盐分危害因素可能导致浅水地下水位(即粘土≤35%; EC_e> 2.5 dS / m,深层排水> 100 mm /年)的临界值。 。结合使用这些信息,使用指标克里金法绘制了Toobeah地区的总体盐度风险图。风险图显示了潜在的盐渍化区域,需要详细的信息,可以在其中进行针对性的研究,以监测土壤状况和地下水位高度,并确定最佳管理策略。

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