Study of Soil Characteristics on Dryland Productivity of the Supiturung Micro Watershed, Kediri Regency

A study of soil characteristics dryland productivity of the Supiturung Micro Watershed, Kediri Regency, was conducted by observing the physical conditions of the environment and identifying the morphological and physical properties of the soil in each horizon in the soil profile. Parameters observed were physical properties (texture, bulk density) and chemical properties (CEC, total N, organic C, and base saturation). Data on soil characteristics and plant productivity were then analyzed by correlation and regression to determine the relationship between the two. The results showed that the soil in the study area belongs to the order Inceptisols and Entisols with the dominant subgroup Typic Humudepts. Pineapple plants were spread at SST 5, 7, 9, and 10 with the productivity of 71.18%, 76.35%, 75.76%, and 72%, respectively. Meanwhile, sugarcane was spread in SPL 1, 2, 3, 4, 6, and 8 with the productivity of 71%, 77%, 73.43%, 76.29, and 70.81%, respectively. The results of the analysis show that the land characteristics that affect the productivity of pineapple plants are sand texture with a correlation coefficient value of 0.84 and a regression of 0.71 with a linear equation y= -0.07x + 67.57 R² = 0.53 Land with a sand texture class increasingly has low productivity.

Soil Erodibility Analysis and Mapping in Gilgel Gibe-I Catchment, Omo-Gibe River Basin, Ethiopia

The soil erosion factor, erodibility, measures the susceptibility of soil particles to transport and detachment by erosive agents. Soil erosion and sedimentation models use soil properties and erodibility as the main input. However, in developing countries such as Ethiopia, data on soil erosion and soil-related properties are limited. For this reason, different researchers use different data sources that are adopted from a large scale and come with very different results. For this reason, the study was proposed to analyze and map the soil erodibility of the catchment area using primary data. 80 mixed soil samples were taken from the catchment with GPS coordinates and analyzed in the laboratory for soil texture class and soil organic matter. Accordingly, sandy clay loam is a dominant soil texture class covering 65% of the catchment area with 2.46% average soil organic matter, which is high in the mountainous part and lower in the lower valley of the catchment area. Most of the catchment area, which accounts for more than 78% of the area, was dominated by medium- or coarse-grained soil structure, and in the upper parts of the catchment area, 21% of the catchment area was covered with fine-grained soil structure. Similarly, 66% of the catchment area was covered with slow to moderate soil permeability, followed by slow soil permeability covering 21% of the area. Finally, the soil erodibility value of the Gilgel Gibe-I catchment was determined to be 0.046 ton h·MJ−1·mm−1 with a range of 0.032 to 0.063 ton·h·MJ−1·mm−1. In general, soils with slow permeability, high silt content, and medium- to fine-grained soil structures are the most erodible. They are conveniently separate; they tend to crust and form high drainage. Knowing this, the catchment has a moderate soil erodibility value. Thus, the study recommends evidence of land cover and the protection of arable land through suitable soil and water protection measures to improve soil permeability and soil structure.

RIEMANNIAN METRIC FOR TEXTURE RECOGNITION

The article discusses the recognition of textures on digital images by methods of computational topology and Riemannian geometry. Topological properties of patterns are represented by segments (barcodes) obtained by filtering by the level of photometric measure. Beginning of barcode encodes level at which topological property appears (connected component and/or “hole”), and its end - level at which the property disappears. Barcodes are conveniently parameterized by coordinates of their ends in rectangular coordinate system “birth” and “death” of topological property. Such representation in form of a cloud of points on plane is called a persistence diagram (PD). In the article show that texture class recognition results are significantly better compared to other vectorization methods of PD.

Compatibility of granulometric groups determined based on standard BN-78/9180-11 and granulometric groups according to PTG 2008 and USDA texture classes

Two groups of soil texture classification, differing in limit diameters for particular soil fractions, are used in Poland. The older groups of classifications consider soil particles as < 1 mm and divide them into sand (1.0–0.1 mm), silt (0.1–0.02 mm) and fine or flowable particles (< 0.02 mm). These classifications are used, in a version which originated in 1956 and here denominated as PTG/Musierowicz 1956 in land quality assessment and elaboration of soil agricultural maps. Newer versions of these classifications – professional standard BN-78/9180-11 (1978) and division of soils in agronomic categories described in 1986 – are used in fertilizer recommendations and in agricultural drought monitoring. According to the new soil texture classification PTG 2008, the upper diameter limit for soil particles is 2 mm and these parts are divided into sand (2.0–0.05 mm), silt (0.05–0.002 mm) and clay (<0.002 mm). This classification is compatible with soil texture classification elaborated by the United States Department of Agriculture (USDA) and most frequently applied worldwide. In this paper, the results of analyses of 1087 soil samples representing almost all granulometric groups existing in older and newer Polish soil texture classifications were considered. On the base of the current and earlier studies, the table with probability of occurrence of granulometric group PTG 2008 or texture class USDA for particular granulometric groups BN-78/9180-11 was prepared. For majority of granulometric groups (pl, ps, psp, pgl, pgmp, gp, gpp, gl, glp, gc, gcp, ip, płi) determined on the base of BN-78/9180-11, it is possible to determine their granulometric group/texture class according to PTG 2008/USDA correctly and, frequently, unambiguously. For granulometric groups pglp, pgm, gs, gsp i and płg it is possible to propose with great probability more than one equivalent according to PTG 2008/USDA, and in other cases more studies are recommended.

Evaluasi Kesesuaian Lahan Tambak Ikan Bandeng Di Desa Salemba Kecamatan Ujung Loe Kabupaten Bulukumba

Research results showed the characteristics of land on the site of the research includes average rainfall is 1872.2 mm per year. Milkfish farmed land with temperature range between 20-30 ° c. the brightness of the embankment between 19-45 cm. salinity between 6-21 mg/L. The degree of Acidity or pH of the water between 6.90-7,48. Dissolved oxygen (DO) between the 9.28-12, 16 mg/l. Orthophosphat (PO_4) between 0,586-1,864 mg/l. nitrate (NO3) between 0.001-0.020 mg/l. dominant clay texture class. The degree of Acidity (pH) of between 5.5-6.0. Results of the study i.e. land kesesuian classes consists of pretty fit (S2) with land area of farmed land suitability 145.96 ha and consists of marginal fit (S3) with land area of ponds 45.62 ha. The conclusion to the suitability of the land farmed whitefish yanitu pretty fit (S2) and corresponding marginal (S3) factor in the a barrier suitability of land embankment based on variable salinity, dissolved oxygen/brightness, DO, temperature, nitrate.

Hydrocarbons content in soils of the northernmost taiga ecosystem of Komi Republic (North-East of Russia)

The background concentrations of hydrocarbons (HCs) were estimated for soils of the northernmost and northern taiga ecosystem of the Komi Republic. It was shown that accumulation and distribution of hydrocarbons in soil cover is regulated by following pedological factors: texture class, parent material and landform type and the type of soil forming process. In all studied soils of accumulative positions showed more pronounces accumulation of hydrocarbons than the soils of well-drained eluvial positions. Interprofile differentiation of hydrocarbons content is more expressed in clay-textured soils than sandy ones.