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Soil erosion and deposition modelling in a semi-arid grazing catchment in North Central Queensland

机译:昆士兰州北部中部半干旱放牧流域的土壤侵蚀和沉积模拟

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摘要

The Springvale study site is a small 10 hectare, second order catchment in a badly degraded part of the Nogoa River basin that lies in the 600 to 700 mm rainfall belt of tropical Australia. Sheet and rill erosion are associated with highly dispersible subsoils developed from flaggy sandstones, siltstones and mudstones. Over grazing and unfavourable climate variability have been given as reasons for land degradation and reduced grass production within the catchment. It has been postulated that in addition to the onsite effects of degradation of the catchment due to erosion associated with declining grass production, the millions of tons of soil removed from the Nogoa basin, in which the Springvale catchment is nested, would be a substantial threat to the economic life of the Fairbairn dam, which supports irrigation, industry and urban needs in the area. Rainfall, runoff, soil loss and vegetation cover data have been continually collected both at hillslope and catchment scales in the Springvale catchment since 1979. In this study, data from hillslopes have been used to calibrate an erosion model, which has been modified and upscaled to simulate erosion and deposition at a small catchment scale using a raster based Geographic Information Systems (GIS). Data at the catchment outlet are used for model verification. Two erosion index models are also used to compare the spatial pattern of predicted net erosion and net deposition in the catchment and show that, while the insitu erosion is high, the exiting sediment load from the catchment is quite low by comparison. Sensitivity analyses were conducted to evaluate uncertainties in model predictions due to uncertainties in input values. It was shown that the model was more sensitive to changes in some model parameters than others.
机译:斯普林韦尔研究场址位于Nogoa河流域严重退化的部分中,面积只有10公顷,是二阶流域,位于澳大利亚热带600至700 mm的降雨带中。薄片和小溪的侵蚀与由贫瘠的砂岩,粉砂岩和泥岩形成的高度分散的底土有关。过度放牧和不利的气候变化被认为是造成流域土地退化和集水草减少的原因。据推测,除了因草产量下降带来的侵蚀而造成的流域退化的现场影响外,从筑巢有Springvale流域的Nogoa盆地移走的数百万吨土壤也将构成重大威胁。费尔贝恩大坝的经济生活,该地区可满足该地区的灌溉,工业和城市需求。自1979年以来,一直在Springvale集水区的山坡和集水规模上连续收集降雨,径流,土壤流失和植被覆盖数据。在本研究中,已使用山坡的数据校准侵蚀模型,并对其进行了修改和放大,以使用基于栅格的地理信息系统(GIS)在小流域尺度上模拟侵蚀和沉积。集水口的数据用于模型验证。还使用两个侵蚀指数模型来比较流域内预测的净侵蚀和净沉积的空间格局,结果表明,尽管原位侵蚀较高,但流域的出口泥沙负荷却相对较低。由于输入值的不确定性,进行了敏感性分析以评估模型预测中的不确定性。结果表明,该模型对某些模型参数的变化比对其他参数更敏感。

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