scholarly journals Spatial distribution characteristics of phaeozem in Songliao Plain based on RS

2020 ◽  
Vol 194 ◽  
pp. 05016
Author(s):  
XING Yu ◽  
Wang Jie ◽  
Yin Yaqiu ◽  
Zhou Yingjie ◽  
Yao Weiling ◽  
...  
Keyword(s):  
Organic Matter ◽  
Spatial Distribution ◽  
Three Dimensional ◽  
Organic Matter Content ◽  
Relevant Information ◽  
Matter Content ◽  
Distribution Characteristics ◽  
Terrain Rendering ◽  
Spatial Distribution Characteristics ◽  
Songliao Plain

Phaeozem is one kind of scarce resources on the earth. Due to the restrictions of natural factors and the influence of human activities over the years, phaeozem degradation has become increasingly serious. Based on images of the ASTER in 2006 and the ETM+ in 2000 in this paper, the phaeozem organic matter content which is greater than 2 ％ was obtained by using quantitative retrieval. Through the three-dimensional remote sensing image, terrain rendering and relevant information were analyzed. On the basis of the above, the spatial distribution characteristics of phaeozem in Songliao Plain were analyzed using DEM (digital elevation model) data. The results show that the total area of phaeozem in Songliao Plain is about 51360.15 km2, and the phaeozem organic matter content is gradually increasing along with the increasing latitude or longitude, and decreasing along with increasing slope. In addition, the soil organic matter content is lower in southern slopes than that in northern slopes.

scholarly journals Comparison of Different Spatial Regression Methods for Predicting Organic Matter Content in Soil

2022 ◽  
Author(s):  
Xumeng Zhang ◽  
Wuping Zhang ◽  
Mingjing Huang ◽  
Li Gao ◽  
Lei Qiao ◽  
...  
Keyword(s):  
Organic Matter ◽  
Spatial Distribution ◽  
Soil Organic Matter ◽  
Land Use Planning ◽  
Prediction Accuracy ◽  
Meteorological Data ◽  
Organic Matter Content ◽  
Spatial Prediction ◽  
Matter Content ◽  
Soil Organic Matter Content

Abstract Dynamic changes in soil organic matter content affects the sustainable supply of soil water and fertilizer and impacts the stability of soil ecological function. Understanding the spatial distribution characteristics of soil organic matter will help deepen our understanding of the differences in soil organic matter content, soil formation law; such understanding would be useful for rational land use planning. Taking terrain data, meteorological data, and remote sensing data as auxiliary variables and the ordinary Kriging (OK) method as a control, this study compares the spatial prediction accuracies and mapping effects of various models (MLR, RK, GWR, GWRK, MGWR, and MGWRK) on soil organic matter. Our results show that the spatial distribution trend of soil organic matter predicted by each model is similar, but the prediction of composite models can reflect more mapping details than that of unitary models. The OK method can provide better support for spatial prediction when the sampling points are dense; however, the local models are superior in dealing with spatial non-stationarity. Notably, the MGWR model is superior to the GWR model, but the MGWRK model is inferior to the GWRK model. As a new method, the prediction accuracy of MGWRK reached 47.72% for the OK and RK methods and 40.08% for the GWRK method. The GWRK method achieved a better prediction accuracy. The influence mechanism of soil organic matter is complex, but the MGWR model more clearly reveals the complex nonlinear relationship between soil organic matter content and factors influencing it. This research can provide reference methods and mapping technical support to improve the spatial prediction accuracy of soil organic matter.

Spatial distribution characteristics of organic matter and total nitrogen of marsh soils in river marginal wetlands

Geoderma ◽  
2005 ◽  
Vol 124 (1-2) ◽  
pp. 181-192 ◽  
Author(s):  
Junhong Bai ◽  
Hua Ouyang ◽  
Wei Deng ◽  
Yanming Zhu ◽  
Xuelin Zhang ◽  
...  
Keyword(s):  
Organic Matter ◽  
Spatial Distribution ◽  
Total Nitrogen ◽  
Distribution Characteristics ◽  
Spatial Distribution Characteristics

Spatial distribution of Alitta virens burrows in intertidal sediments studied by axial tomodensitometry

2013 ◽  
Vol 93 (6) ◽  
pp. 1543-1552 ◽  
Author(s):  
Flora Salvo ◽  
Suzanne C. Dufour ◽  
Philippe Archambault ◽  
Georges Stora ◽  
Gaston Desrosiers
Keyword(s):  
Organic Matter ◽  
Spatial Distribution ◽  
Ct Scan ◽  
Sediment Cores ◽  
Organic Matter Content ◽  
Matter Content ◽  
Small Scale ◽  
Lawrence Estuary ◽  
Biogenic Structures ◽  
Sheltered Site

Relationships between sediment characteristics and the spatial organization of biogenic structures remain poorly understood, albeit important for characterizing bioturbation impacts and small-scale ecological patterns. Using axial tomodensitometry (CT-scan) and core sectioning, we studied the spatial distribution of Alitta virens burrows in sediment cores from two mudflats with different degrees of exposure along the St Lawrence Estuary, Canada. A variety of burrow morphologies was observed at both sites, with most being I-shaped. Most values measured (organic matter content, mean tomographic intensity, the number and diameter of burrow shafts and the percentage of space they occupy per transverse section) covaried with depth. The more sheltered site had higher organic matter and mud contents, and lower average tomographic intensity values. The spatial distribution of burrow shafts also differed between sites, with the more sheltered site having a higher number of burrow shafts and percentage of biogenic space in the upper sediment column, as well as a greater volume of biogenic structures that were connected to the surface (although intra-site variability was great). Along the horizontal plane and at various depths within sediments, burrow shafts were more randomly distributed at the exposed site, compared to a more even, maximal spacing at the sheltered site. In addition to finding differences in burrow organization at two spatial scales, we found significant correlations between tomographic intensity and (1) the number of burrow shafts, (2) biogenic space and (3) organic matter content. CT-scan data, including tomographic intensity, are useful for examining and comparing biogenic structures in sediment cores.

scholarly journals Spatial distribution of organic matter in the surface sediments of Ubatuba Bay (Southeastern - Brazil)

2003 ◽  
Vol 75 (1) ◽  
pp. 77-80 ◽  
Author(s):  
LETICIA BURONE ◽  
PABLO MUNIZ ◽  
ANA MARIA S. PIRES-VANIN ◽  
MARCELO RODRIGUES
Keyword(s):  
Organic Matter ◽  
Spatial Distribution ◽  
Organic Carbon ◽  
Carbon Content ◽  
Pearson Correlation ◽  
Organic Matter Content ◽  
Matter Content ◽  
Southeastern Brazil ◽  
Organic Carbon Content ◽  
Fast Evaluation

Analyses of organic matter content, organic carbon, nitrogen, sulfur and granulometric variables were performed on 101 surface sediment samples from Ubatuba Bay in order to investigate the spatial distribution of organic matter, its origin and the relationships among its components. The samples were obtained with a manual corer, from water depths between 1 and 15m during 5 cruises of the R/V "Veliger II'', two months apart. Pearson correlation, regression and Principal Component Analysis (PCA) statistical methods were used to analyze the data. Strong correlations between organic matter and fine sediment fractions were obtained. The PCA revealed at least two main sample groups that reflect the different environmental conditions prevalent in the bay. There is a simple linear relationship between organic carbon content and the organic matter content determined by the calcination technique. Taking into account that the analysis of organic matter content is less expensive and less time consuming than the analysis of organic carbon, the present method of estimation can be useful when fast evaluation of the organic carbon content is needed for samples from similar environments.

scholarly journals Speciation and spatial distribution of nitrogen in surface sediments of in Ming Lake

2019 ◽  
Vol 131 ◽  
pp. 01047
Author(s):  
Yu Li ◽  
Qi-yu Kuang ◽  
Chao Din
Keyword(s):  
Organic Matter ◽  
Spatial Distribution ◽  
Surface Sediments ◽  
Controlling Factors ◽  
Nutrient Level ◽  
Distribution Characteristics ◽  
Spatial Distribution Characteristics ◽  
Main Controlling Factors ◽  
Local Areas ◽  
Very High

To reveal the diverse occurrence forms and spatial distribution characteristics of nitrogen in the surface sediments of Ming Lake, a sequential leaching method was employed to determine the nitrogen in the surface sediments of Ming Lake. The results show that the total Nitrogen (TN) of the surface sediments of Ming Lake are between 383.23 and 3270.38 ug/g, and the spatial distribution is generally shown as southwest>middle>southeast>west of the lake. The results indicate the nutrient level of the whole lake is not very high. However, for some local areas a risk of high eutrophication pollution may exist due to excessive content; the average TTN is 638.77 ug/g which occupying 36 % of the lake; the spatial distribution is the same with TN; the average (NTN) is 928.61 ug/g that occupied 61 % of TN. With the exception of SAEF-N, every occurrence form of nitrogen was positive with TOM, indicating that the content and spatial distribution of organic matter in the surface sediments of Minghu Lake are the main controlling factors for the content and spatial distribution characteristics of various forms of nitrogen in the sediments.

Study on Correlation between Vegetation Restoration and Physics and Chemistry Characters of Soil in Embankment Slope

2013 ◽  
Vol 361-363 ◽  
pp. 1024-1027
Author(s):  
Yang Liu ◽  
Zhong Ping Qiu ◽  
Jun Ru Shen ◽  
Yue Hu ◽  
Yin Yin Liu ◽  
...  
Keyword(s):  
Organic Matter ◽  
Spatial Distribution ◽  
Soil Moisture ◽  
Bulk Density ◽  
Organic Matter Content ◽  
Soil Bulk Density ◽  
Matter Content ◽  
Vegetation Changes ◽  
Content Increase ◽  
Embankment Slope

By study features of recovering vegetation and physics and chemistry characters of soil in embankment slopes of 3 years and10 years respectively, the correlation among those factors were investigated . The results show: the physics and chemistry characters of soil vary observably with recovering process; Soil bulk density decreases while soil moisture,TP,TNand organic matter content increase evidently; Although the coverage of vegetation changes little, the structure of vegetation community becomes more complex and spatial distribution is more even; The correlation between spatial distribution of vegetation and characters of soil is most remarkable. With process of restoration, the vegetation is affected more effectively by water and nutrients in site.

Factors influencing the accumulation of Pb in sediments of deep and shallow dam reservoirs

2017 ◽  
Vol 46 (2) ◽  
Author(s):  
Anna Czaplicka ◽  
Ewa Szarek-Gwiazda ◽  
Zbigniew Ślusarczyk
Keyword(s):  
Grain Size ◽  
Organic Matter ◽  
Spatial Distribution ◽  
Organic Matter Content ◽  
Hierarchical Cluster ◽  
Matter Content ◽  
Sediment Samples ◽  
Factors Influencing ◽  
Dam Reservoirs ◽  
Pb Accumulation

AbstractThe study determines the differences in Pb accumulation in sediments of dam reservoirs with respect to locations of the old river beds and their depth (deep Czorsztyn Reservoir and shallow Goczałkowice Reservoir in southern Poland). Parameters (grain size, organic matter content and reservoir depth) that may influence the spatial distribution of Pb concentrations in the sediments were analyzed. Based on the hierarchical cluster analysis, sediment samples from the reservoirs were ranked with respect to particle size distribution. We found differences in the spatial distribution of grain size and organic matter in the studied reservoirs, caused mostly by the topography of these reservoirs. The spatial distribution of Pb concentrations in the sediments of the Czorsztyn Reservoir (range 4.8-35.8 μg g

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