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101.
A comparative study of soil erosion modelling by MMF,USLE and RUSLE   总被引:1,自引:0,他引:1  
The quantitative assessment of spatial soil erosion is valuable information to control the erosion. The study area in a part of Narmada river in central India is selected. The main objective is to assess and compare the results obtained from three soil erosion models using GIS platform. Variation in the rate of erosion of the three models is compared considering varying slope, soil and land use of the area. Three models selected are Morgan–Morgan–Finney (MMF), Universal Soil Loss Equation (USLE) and Revised Universal Soil Loss Equation (RUSLE). The best fit or the most reliable model for the study area is selected after validation with the observed sedimentation data. The results give –39.45%, –9.60% and 4.80% difference in the values of sedimentation by MMF, USLE and RUSLE, respectively, from the observed data. Finally, RUSLE model has been found to be most reliable for the study area.  相似文献   
102.
近年来无人机低空遥感技术不断发展,利用无人机影像生成的真正射影像(TDOM)在成图精度、制作流程方面仍有提高的空间。本文采用固定翼无人机和专业摄影相机采集影像,布设地面控制点,提出了利用运动恢复结构(SfM)和多视立体视觉(MVS)工作流来生成高精度数字表面模型(DSM)和数字正射影像(DOM)的方法;对遮蔽倾斜部分进行阴影检测、DSM修编和多视影像纹理补偿生成TDOM;最后用TDOM上随机分布的检查点进行精度检查,水平精度为3.3 cm,垂直精度为7.5 cm;消除了DOM中倾斜和阴影部分,使建筑物保持垂直视角,生成的满足1:500比例尺高精度并消除倾斜阴影的TDOM可用于农村宅基地确权、国土规划设计等领域。  相似文献   
103.
104.
Revised Universal Soil Loss Equation(RUSLE) model coupled with transport limited sediment delivery(TLSD) function was used to predict the longtime average annual soil loss, and to identify the critical erosion-/deposition-prone areas in a tropical mountain river basin, viz., Muthirapuzha River Basin(MRB; area=271.75 km~2), in the southern Western Ghats, India. Mean gross soil erosion in MRB is 14.36 t ha~(-1) yr~(-1), whereas mean net soil erosion(i.e., gross erosion-deposition) is only 3.60 t ha~(-1) yr~(-1)(i.e., roughly 25% of the gross erosion). Majority of the basin area(~86%) experiences only slight erosion(5 t ha~(-1) yr~(-1)), and nearly 3% of the area functions as depositional environment for the eroded sediments(e.g., the terraces of stream reaches, the gentle plains as well as the foot slopes of the plateau scarps and the terrain with concordant summits). Although mean gross soil erosion rates in the natural vegetation belts are relatively higher, compared to agriculture, settlement/built-up areas and tea plantation, the sediment transport efficiency in agricultural areas and tea plantation is significantly high,reflecting the role of human activities on accelerated soil erosion. In MRB, on a mean basis, 0.42 t of soil organic carbon(SOC) content is being eroded per hectare annually, and SOC loss from the 4th order subbasins shows considerable differences, mainly due to the spatial variability in the gross soil erosion rates among the sub-basins. The quantitative results, on soil erosion and deposition, modelled using RUSLE and TLSD, are expected to be beneficial while formulating comprehensive land management strategies for reducing the extent of soil degradation in tropical mountain river basins.  相似文献   
105.
Most structures are subjected to more cyclic loads during their life time than static loads. These cyclic action could be a result of either natural or man-made activities and may lead to soil failure. In order to understand the response of the foundation and its interaction with these complex cyclic loadings, various researchers have over the years developed different constitutive models. Although a lot of research is being carried out on these relatively new models, little or no details exist in literature about the model-based identification of the cyclic constitutive parameters which to a large extent govern the quality of the model output. This could be attributed to the difficulties and complexities of the inverse modeling of such complex phenomena. A variety of optimisation strategies are available for the solution of the sum of least-squares problems as usually done in the field of model calibration. However, for the back analysis (calibration) of the soil response to oscillatory load functions, this article gives insight into the model calibration challenges and also puts forward a method for the inverse modeling of cyclic loaded foundation response such that high-quality solutions are obtained with minimum computational effort.  相似文献   
106.
基于中国587站日最高、最低气温观测资料、月平均的ERA_interim土壤湿度(Soil Moisture,SM)再分析资料及扩展重建的海表面温度(Sea Surface Temperature,SST)资料(ERSST),对极端气温指数进行了定义,利用变形的典型相关分析和集合典型相关分析方法(Ensemble Canonical Correlation,ECC),分析了1979-2009年我国夏季极端气温与前期(春、前冬)SM、SST间的线性联系,建立了中国夏季极端气温预测模型,并对独立样本检验的效果进行了评估。结果表明:1)与中国夏季极端气温联系密切的前期SST异常的空间分布为类PDO(Pacific Decadal Oscillation)型,前期土壤湿度异常的区域为华南、青藏高原、东北和西北地区。2)交叉检验结果表明基于前冬预测因子的极端气温预测模型技巧高于春季,基于SM的极端气温预测模型技巧高于SST。3)独立样本检验表明基于前期SM、SST的ECC模型对中国东部夏季极端气温有一定的预测能力。因此,可以在夏季极端气温的预测业务中考虑前期SM、SST的影响。  相似文献   
107.
土壤质量评价是提高对土壤质量理解的关键环节。为了了解青藏高原多年冻土区高寒草地土壤质量的基本情况,在青藏高原腹地西大滩至安多地区,根据不同海拔梯度和植被盖度共采集了154个土壤样品。通过主成分分析(PCA)法确定了影响青藏高原多年冻土区高寒草地土壤质量的最小数据集(MDS):全氮、全磷、全钾。根据影响土壤质量的最小数据集对青藏高原多年冻土区高寒草地土壤质量进行评价,得出了不同海拔、不同植被盖度下的土壤质量指数(SQI)。通过对不同海拔、不同植被盖度的土壤质量指数进行对比研究表明:随着海拔的升高,SQI呈增加的趋势,即海拔4 300~4 600 m(0.270±0.043) < 海拔4 600~4 900 m(0.326±0.061) < 海拔4 900~5 200 m(0.410±0.075);随着植被盖度的增加,SQI也呈现增加的变化趋势,即植被盖度小于50%(0.262~0.265) < 植被盖度大于50%(0.336~0.344)。在分别考虑了有机质、盐分、土壤水分对土壤质量的影响下得出的土壤质量指数值与基于最小数据集得到的土壤质量指数相一致,说明基于主成分分析的最小数据集可以对青藏高原多年冻土区高寒草地土壤质量做出较准确的评价。  相似文献   
108.
上海地区水平定向钻进铺管(HDD)钻遇不易成孔的砂性软土的概率甚高,这种地层对泥浆性能有特殊要求。但目前普遍使用的复配型增效商品土粉基调相近,难以就大量工程个案恰如其分地发挥关键功效。为此,论述了该类工程环境下泥浆性能设计要点,分析了材料添配的作用机理,重点给出了泥浆密度、粘度、切力以及失水量等参数调控的宜于实用的若干配材技术,以提供相类似工程条件下泥浆运用的可参考方法。  相似文献   
109.
为研究高压水射流切割、破碎南海天然气水合物储层的过程,采用著名的LS—DYNA显示动力分析有限元程序,对淹没状态下,水射流破碎海底含水合物沉积物过程进行数值模拟研究,研究了不同射流速度对高压水射流作用下含水合物沉积物破碎效果的影响规律。随着射流速度的增大,冲蚀深度逐渐增大,两者呈线性递增关系。含水合物沉积物冲蚀体积是轴向冲蚀与径向冲蚀共同作用的结果,射流速度越大,对含水合物沉积物的轴向与径向冲蚀作用增强,加大了含水合物沉积物冲蚀体积递增速率。  相似文献   
110.
This work restored the erosion thickness of the top surface of each Cretaceous formations penetrated by the typical well in the Hari sag, and simulated the subsidence burial history of this well with software BasinMod. It is firstly pointed out that the tectonic subsidence evolution of the Hari sag since the Cretaceous can be divided into four phases: initial subsidence phase, rapid subsidence phase,uplift and erosion phase, and stable slow subsidence phase. A detailed reconstruction of the tectonothermal evolution and hydrocarbon generation histories of typical well was undertaken using the EASY R_0% model, which is constrained by vitrinite reflectance(R_0) and homogenization temperatures of fluid inclusions. In the rapid subsidence phase, the peak period of hydrocarbon generation was reached at c.a.105.59 Ma with the increasing thermal evolution degree. A concomitant rapid increase in paleotemperatures occurred and reached a maximum geothermal gradient of about 43-45℃/km. The main hydrocarbon generation period ensued around 105.59-80.00 Ma and the greatest buried depth of the Hari sag was reached at c.a. 80.00 Ma, when the maximum paleo-temperature was over 180℃.Subsequently, the sag entered an uplift and erosion phase followed by a stable slow subsidence phase during which the temperature gradient, thermal evolution, and hydrocarbon generation decreased gradually. The hydrocarbon accumulation period was discussed based on homogenization temperatures of inclusions and it is believed that two periods of rapid hydrocarbon accumulation events occurred during the Cretaceous rapid subsidence phase. The first accumulation period observed in the Bayingebi Formation(K_1 b) occurred primarily around 105.59-103.50 Ma with temperatures of 125-150℃. The second accumulation period observed in the Suhongtu Formation(K_1 s) occurred primarily around84.00-80.00 Ma with temperatures of 120-130℃. The second is the major accumulation period, and the accumulation mainly occurred in the Late Cretaceous. The hydrocarbon accumulation process was comprehensively controlled by tectono-thermal evolution and hydrocarbon generation history. During the rapid subsidence phase, the paleo temperature and geothermal gradient increased rapidly and resulted in increasing thermal evolution extending into the peak period of hydrocarbon generation,which is the key reason for hydrocarbon filling and accumulation.  相似文献   
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