Sensitivity evaluation of soil erosion based on land use types: A case study of Minjiang River Basin

2020 ◽  
Vol 38 (5) ◽  
pp. 5697-5705
Author(s):  
Jinxin Zhang ◽  
Hui Li ◽  
Xiufang Zhang ◽  
Hua Yu ◽  
Fengna Liang ◽  
...  
2012 ◽  
Vol 16 (8) ◽  
pp. 2739-2748 ◽  
Author(s):  
W. W. Zhao ◽  
B. J. Fu ◽  
L. D. Chen

Abstract. Land use and land cover are most important in quantifying soil erosion. Based on the C-factor of the popular soil erosion model, Revised Universal Soil Loss Equation (RUSLE) and a scale-pattern-process theory in landscape ecology, we proposed a multi-scale soil loss evaluation index (SL) to evaluate the effects of land use patterns on soil erosion. We examined the advantages and shortcomings of SL for small watershed (SLsw) by comparing to the C-factor used in RUSLE. We used the Yanhe watershed located on China's Loess Plateau as a case study to demonstrate the utilities of SLsw. The SLsw calculation involves the delineations of the drainage network and sub-watershed boundaries, the calculations of soil loss horizontal distance index, the soil loss vertical distance index, slope steepness, rainfall-runoff erosivity, soil erodibility, and cover and management practice. We used several extensions within the geographic information system (GIS), and AVSWAT2000 hydrological model to derive all the required GIS layers. We compared the SLsw with the C-factor to identify spatial patterns to understand the causes for the differences. The SLsw values for the Yanhe watershed are in the range of 0.15 to 0.45, and there are 593 sub-watersheds with SLsw values that are lower than the C-factor values (LOW) and 227 sub-watersheds with SLsw values higher than the C-factor values (HIGH). The HIGH area have greater rainfall-runoff erosivity than LOW area for all land use types. The cultivated land is located on the steeper slope or is closer to the drainage network in the horizontal direction in HIGH area in comparison to LOW area. The results imply that SLsw can be used to identify the effect of land use distribution on soil loss, whereas the C-factor has less power to do it. Both HIGH and LOW areas have similar soil erodibility values for all land use types. The average vertical distances of forest land and sparse forest land to the drainage network are shorter in LOW area than that in HIGH area. Other land use types have shorter average vertical distances in HIGH area than that LOW area. SLsw has advantages over C-factor in its ability to specify the subwatersheds that require the land use patterns optimization by adjusting the locations of land uses to minimize soil loss.


CATENA ◽  
2018 ◽  
Vol 167 ◽  
pp. 116-129 ◽  
Author(s):  
Azade Mehri ◽  
Abdolrassoul Salmanmahiny ◽  
Ali Reza Mikaeili Tabrizi ◽  
Seyed Hamed Mirkarimi ◽  
Amir Sadoddin

The purpose of the article is to analyze anthropogenic transformation of river-basin geosystems of the outer Subcarpathian region by geoinformational modeling tools using various methods of quantitative estimation of anthropogenic pressure; comparison of modeling results on the basis of administrative-territorial and natural units, selection of optimal structural units for the study of anthropogenic changes in basin geosystems. Research methods. The features of estimation methods of anthropogenic transformation level of territorial complexes, based on various conceptual approaches to the study of anthropogenic changes in the components of the environment were investigated. In particular, the article compares methods of F.M. Milkov, P.G. Shyshchenko, E. Klementova and V. Geinige, P.P. Borschevsky, M.V. Boyarin, I.P. Kovalchuk, N.M. Ridey and D.L. Shofolov, A.M. Tretyak and others and by the means of geoinformation modeling of river-basin geosystems (namely, the case study of the outer Subcarpathian Dniester tributaries) shows the degree of representativeness of the results produced by each of them. It is noted that the technique by P.G. Shyshchenko allows to more accurately reflect the state of anthropogenic transformation of the river-basin system’s natural conditions Results. A range of digital cartographic models was developed to evaluate and compare anthropogenic transformation level of the two Carpathian basin systems and to identify similar and distinctive features of the state and the transformation level of the basin systems’ natural environment andstability of agricultural and forest landscapes in the studied basin geosystems. In particular, the study has revealed that the anthropogenic transformation of the outer Carpathian river basins is rising downstream. In the upper parts of the basins, it manifests itself in deforestation, while in the lower parts agricultural influence dominates. In addition, the index of anthropogenic transformation is rising with an increase in the order of sub-basins. The worst conditions of agro-landscapes are observed in the reclaimed valleys of the main rivers and their tributaries (due to the considerable level of plowing in the plain parts of the basins due to low fertility of soils, high levels of their acidity, degradation processes and chemical pollution). Stable territories are inherent exclusively in sub-basins which remain in their natural state or bear only traces of human activity. Settlements, which influence adjacent areas, are characterized by unsustainable land use. As for anthropogenic transformation, in the basin geosystem of the Berezhnytsia river its indicators increase upwards due to an increase in the share of arable land. On the contrary, in the basin of Bystrica much more land is occupied by industrial facilities, which affect the components of the geosystem the hardest. In this regard, the largest values of nature anthropogenic transformation indicators are found in the northern part of the basin and upstream of the city of Nadvirna and the town of Bykiv. Scientific significance. Case study of the administrative regions and the river basin located within them reveals the advantages of studying the geoenvironmental state of the territories according to their natural geographic taxonomic units, which allows to determine the most strained areas in geosystems. Particular attention is paid to the choice of optimum sized geospatial objects during the study of diverse basin systems. River sub-basins of the third order (according to the classification scheme of A. Strahler) were chosen to this purpose. Their size corresponds to that of the combined territorial communities’ area. The importance of formation a database that reflects on the state of the geospatial entities under study is emphasized. For this purpose, it is appropriate to convey the structure of land use, represented by indices of different land cover and land use types (protected areas, forest covered areas, swamps and wetlands, meadows, gardens and vineyards), arable land, land under rural and urban development, natural objects modified by human activities (reservoirs , ponds, channels), land utilized by industry and transport in each investigated object. The article shows that the best solution to this problem is provided by the processing of high-resolution spatial (in panchromatic and multispectral) remote sensing data. The most appropriate in this case are QuickBird satellite imagery, designed to create and update topographic maps and plans, to make inventories of forests and agricultural lands and to assess their condition, therefore allowing mapping of land use types that are not identified in statistical inventories. Practical significance. The results of this work will be helpful in selecting the specific technique allowing the most complete representation of anthropogenic transformation of natural objects; in choosing the most optimal spatial units to carry out the analysis and, accordingly, to fill in the database. The developed models reveal the most anthropogenically loaded parts of river-basin geosystems of the outer Subcarpathian region, which is essential for the extrapolation of the obtained results to other right tributaries of the Dniester River.


Author(s):  
Trần Thanh Đức

This research carried out in Huong Vinh commune, Huong Tra town, Thua Thien Hue province aimed to identify types of land use and soil characteristics. Results showed that five crops are found in Huong Vinh commune including rice, peanut, sweet potato, cassava and vegetable. There are two major soil orders with four soil suborders classified by FAO in Huong Vinh commune including Fluvisols (Dystric Fluvisols<em>, </em>Gleyic Fluvisols and Cambic Fluvisols) and Arenosols (Haplic Arenosols). The results from soil analysis showed that three soil suborders including Dystric Fluvisols<em>, </em>Gleyic Fluvisols and Cambic Fluvisols belonging to Fluvisols were clay loam in texture, low pH, low in OC, total N, total P<sub>2</sub>O<sub>5</sub> and total K<sub>2</sub>O. Meanwhile, the Haplic Arenosols was loamy sand in texture, poor capacity to hold OC, total N, total P<sub>2</sub>O<sub>5</sub> and total K<sub>2</sub>O


1995 ◽  
Vol 22 (1) ◽  
pp. 20-30 ◽  
Author(s):  
Nandini Chatterjee

Social Forestry (SF) schemes have been implemented in India since the 1980s to combat deforestation, increase the supply of fuel-wood and fodder, and provide minor forest products for the rural populaton. The relevance of such Schemes in the Mayurakshi River Basin is basically due to its environmentally degraded state. Latterly the Basin has been brought under the Mayurakshi River Valley Project, but unless measures are undertaken to mitigate problems of soil erosion, the efficiency of the Project will be hampered.


2020 ◽  
Vol 12 (1) ◽  
pp. 1406-1420
Author(s):  
Jianwei Wang ◽  
Kun Wang ◽  
Tianling Qin ◽  
Hanjiang Nie ◽  
Zhenyu Lv ◽  
...  

AbstractLand use/cover change plays an important role in human development and environmental health and stability. Markov chain and a future land use simulation model were used to predict future change and simulate the spatial distribution of land use in the Huang-Huai-Hai river basin. The results show that cultivated land and grassland are the main land-use types in the basin, accounting for about 40% and 30%, respectively. The area of cultivated land decreased and artificial surfaces increased from 1980 to 2010. The degree of dynamic change of land use after the 1990s was greater than that before the 1990s. There is a high probability of exchange among cultivate land, forest and grassland. The area of forest decreased before 2000 and increased after 2000. Under the three emission scenarios (RCP2.6, RCP4.5, and RCP8.5) of IPSL-CM5A-LR climate model, the area of cultivated land will decrease and that of grassland will increase in the upstream area while it will decrease in the downstream area. The above methods and rules will be of great help to future land use planning.


Sign in / Sign up

Export Citation Format

Share Document