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991.
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993.
Regional soil erosion risk mapping using RUSLE,GIS, and remote sensing: a case study in Miyun Watershed,North China 总被引:1,自引:1,他引:0
Tao Chen Rui-qing Niu Ping-xiang Li Liang-pei Zhang Bo Du 《Environmental Earth Sciences》2011,63(3):533-541
This paper applied the Revised Universal Soil Loss Equation (RUSLE), remote-sensing technique, and geographic information
system (GIS) to map the soil erosion risk in Miyun Watershed, North China. The soil erosion parameters were evaluated in different
ways: the R factor map was developed from the rainfall data, the K factor map was obtained from the soil map, the C factor map was generated based on a back propagation (BP) neural network method of Landsat ETM+ data with a correlation coefficient
(r) of 0.929 to the field collected data, and a digital elevation model (DEM) with a spatial resolution of 30 m was derived
from topographical map at the scale of 1:50,000 to develop the LS factor map. P factor map was assumed as 1 for the watershed because only a very small area has conservation practices. By integrating the
six factor maps in GIS through pixel-based computing, the spatial distribution of soil loss in the upper watershed of Miyun
reservoir was obtained by the RUSLE model. The results showed that the annual average soil loss for the upper watershed of
Miyun reservoir was 9.86 t ha−1 ya−1 in 2005, and the area of 47.5 km2 (0.3%) experiences extremely severe erosion risk, which needs suitable conservation measures to be adopted on a priority
basis. The spatial distribution of erosion risk classes was 66.88% very low, 21.90% low, 6.19% moderate, 2.90% severe, and
1.84% very severe. Among all counties and cities in the study area, Huairou County is in the extremely severe level of soil
erosion risk, about 39.6% of land suffer from soil erosion, while Guyuan County in the very low level of soil erosion risk
suffered from 17.79% of soil erosion in 2005. Therefore, the areas which are in the extremely severe level of soil erosion
risk need immediate attention from soil conservation point of view. 相似文献
994.
Qingjie Han Jianjun Qu Kongtai Liao Shujuan Zhu Kecun Zhang Ruiping Zu Qinghe Niu 《Environmental Earth Sciences》2011,64(5):1375-1385
This article reported a wind tunnel test of sediment transport related to surface moisture content and wind velocity using
sands from tropical humid coastal area. A 1 mm-thick portion of surface sand was scraped using a self-made sediment sampler,
and the gravimetric moisture content was determined. Sand transport was measured via a standard vertical sand trap with a
60 cm height. The result shows that the sand transport profile above the wet surface can be expressed with an exponential
equation. In general, the influence of moisture content on sand transport profile mainly focuses on the bottom of the blowing
sand cloud. Meanwhile, with moisture content increased, total sand transport dropped, and a relatively larger proportion is
transported at greater heights. The vertical movement of particles on higher moisture surface (0.587% < M < 1.448%) is more sensitive to moisture content variation as compared to those on low wet surface (M < 0.587%), total sand transport rate tends to be rather low (0.99 g cm−1 s−1) when M > 1.448%. The total sand transport rate varying with moisture content is divided into three regions of differing gradient
at the moisture contents of 0.587 and 1.448%. The gradient of the curve reflected the different influences of the various
water forms in surface sediments. The higher moisture surface (M > 1.448%) merely functions as a transport plain for the saltation material. Surface moisture content was the dominant control
factor for saltation activity between the moisture contents of 0.587 and 1.448%, wind velocity could resume control saltation
after the surface dried to the extent (M < 0.587%). 相似文献
995.
996.
针对葛亭煤矿的构造地质和水文地质条件,利用概率神经网络岩性反演方法获得岩性数据体,该数据体包含了煤系地层到奥陶系灰岩顶部的构造、岩性和水文地质信息,构成了评价煤层突水危险性所需的基本数据。将其各种信息进行融合后对3煤层顶板的突水危险性进行定量评价:其中波阻抗反演的岩浆侵入及煤层变焦区域(含水层)与视电阻率反演结果高度一致,同时依据孔隙度反演结果证实该区域具有相应的低孔隙度反应。将该区域3煤层顶板视电阻率与孔隙度值进行乘积归一化处理,计算其突水隶属度,依此划分了该层位的突水程度。 相似文献
997.
Alpine soil infiltration process is an important part of the hydrological characteristics of alpine soil in permafrost. This research is carried out in the source region of the Yellow River where the permafrost is severely degraded, using various methods for choosing typical sample areas, and to experiment, study and simulate the soil water curve, soil saturated hydraulic conductivity, soil infiltration and soil moisture under different characteristics of degraded vegetation. The results indicate that the empirical equation θ=AS−B, proposed by Gradner and Visser, is very reliable in simulating the soil moisture curve; soil saturated hydraulic conductivity and soil infiltration are significantly different under different vegetation coverage: in the soil surface within 0–10 cm, the saturated hydraulic conductivity and infiltration intensity of Black Beach are the strongest; respectively, in soil layers below 30 cm, vegetation has almost no impacts on the saturated hydraulic conductivity, infiltration intensity and soil moisture content. Significant reduction of soil moisture occurs in soil surfaces with degraded vegetation. The more serious the degradation, the more water loss, and it can be up to 38.6% in the worst situation. Soil moisture of developed vegetation root systems in depths within 10–20 cm has the greatest impact on the soil environment, and the loss of moisture induces difficulty in the restoration of degraded meadows. Through a comparative study, the Kostiakov infiltration equation f(t) = at−b is more applicable for studies on the process of soil moisture infiltration of the alpine meadow in the source region of the Yellow River. 相似文献
998.
蒙古国南戈壁省中蒙边界地区分布多个二叠系大型—特大型煤矿,为一套以砾岩为主的粗碎屑岩和含煤系地层夹火山岩建造。银额盆地周缘地表剖面揭示,二叠系发育一套以海相沉积为主的碎屑岩+碳酸盐岩+火山岩建造。银额盆地希热哈达—赛汗桃来地区的钻井资料揭示其为一套粗碎屑岩+含煤系地层夹火山岩岩性组合,与盆地周缘地表剖面各时代地层的岩性组合均存在巨大差异,而与蒙古国南戈壁省二叠系的岩性组合特征相同。通过中蒙边界地区二叠系地层层序与岩性组合特征的对比,明确了银额盆地希热哈达—赛汗桃来地区钻井资料发现的含煤系地层时代为二叠纪,结合沉积充填特征,对银额盆地二叠纪沉积演化与沉积相平面展布有了新的认识,为银额盆地及邻区石炭纪—二叠纪构造演化的研究提供了新的证据。 相似文献
999.
Baoyu Jiang Hugh D. Sinclair Yazhuo Niu Jinhai Yu 《International Journal of Earth Sciences》2014,103(1):23-40
The Early Paleozoic Wuyi-Yunkai fold belt of South China represents a major orogenic belt in East Asia; however, its formation is not well understood. This paper evaluates the origins of the Neoproterozoic–Early Paleozoic basin and the southern margin of the South China Block (SCB) based on a compilation of the spatiotemporal evolution of the Late Neoproterozoic–Early Paleozoic strata and their depositional environments. These data are combined with high-resolution structural, geochronologic, metamorphic and petrologic data that are published from the region. A new model of a retroarc thrust wedge/foreland basin system is proposed for the succession based on the following: (1) the nature of the basal unconformity, (2) the wedge-shaped basin-fill geometry bounded by the mountain belt to the south, (3) basinward propagation of the thrust-front with time and (4) the presence of a typical underfilled stratigraphic trinity of the foreland basin. The proposed model suggests two major cycles of evolution of the retroarc thrust wedge/foreland basin system (<725–<635 and ca. 564–446 Ma), which record two periods of northwestward subduction of the oceanic slab beneath the southern margin of the SCB. Terrane accretion is inferred to have taken place during the late stage of these cycles. 相似文献
1000.
Landslide susceptibility assessment using object mapping units,decision tree,and support vector machine models in the Three Gorges of China 总被引:4,自引:3,他引:1
Due to the particular geographical location and complex geological conditions, the Three Gorges of China suffer from many landslide hazards that often result in tragic loss of life and economic devastation. To reduce the casualty and damages, an effective and accurate method of assessing landslide susceptibility is necessary. Object-based data mining methods were applied to a case study of landslide susceptibility assessment on the Guojiaba Town of the Three Gorges. The study area was partitioned into object mapping units derived from 30 m resolution Landsat TM images using multi-resolution segmentation algorithm based on the landslide factors of engineering rock group, homogeneity, and reservoir water level. Landslide locations were determined by interpretation of Landsat TM images and extensive field surveys. Eleven primary landslide-related factors were extracted from the topographic and geologic maps, and satellite images. Those factors were selected as independent variables using significance testing and correlation coefficient analysis, including slope, profile curvature, engineering rock group, slope structure, distance from faults, land cover, tasseled cap transformation wetness index, reservoir water level, homogeneity, and first and second principal components of the images. Decision tree and support vector machine (SVM) models with the optimal parameters were trained and then used to map landslide susceptibility, respectively. The analytical results were validated by comparing them with known landslides using the success rate and prediction rate curves and classification accuracy. The object-based SVM model has the highest correct rate of 89.36 % and a kappa coefficient of 0.8286 and outperforms the pixel-based SVM, object-based C5.0, and pixel-based SVM models. 相似文献