• Title/Summary/Keyword: 토양등급

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Development of Soil Erosion Analysis Model to Couple the HyGIS (HyGIS와 연계한 토양유실분석 모형 개발)

  • Kim, Kyeong-Tak;Kim, Joo-Hun;Choi, Yun-Seok;Won, Young-Jin
    • Proceedings of the Korea Water Resources Association Conference
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    • 2010.05a
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    • pp.784-788
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    • 2010
  • 본 연구는 자연재해대책법에 의해 개발사업으로 인한 재해유발요인을 예측 분석하고 이에 대한 대책을 강구하기 위해 수행되고 있는 사전재해영향평가에서 토양유실도 작성을 위한 HyGIS와 연계한 토양유실량 분석 모형을 개발하는 것을 목적으로 하고 있다. HyGIS(Hydro Geographic Information System)는 GIS를 수자원의 다양한 분야에 손쉽게 적용하기 위해서 컴포넌트 형태로 개발된 시스템이다. HyGIS에서는 DEM을 이용하여 유역 및 하천망의 추출과 지형분석이 가능하며, 하천 네트워크를 기반으로 유역의 다양한 정보를 운용할 수 있다. 또한 HyGIS는 데이터베이스를 기반으로 운영되며, GIS를 이용한 수자원 분야의 응용프로그램 개발 시 기반 시스템으로 활용될 수 있다. 본 연구에서 개발한 HyGIS와 연계한 토양유실 분석 모형은 HyGIS의 데이터베이스를 공동으로 이용할 수 있도록 개발하였다. 개발 툴은 GEOMania GMMap2009의 Add-on 형태로 개발하였고, OECD에서 제안한 토양유실 위험 등급도도 작성할 수 있도록 개발하였다.

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Wetness Index와 Profile Model을 이용한 암석의 화학적 풍화연구

  • 김성욱;한지영;윤운상;김상현;김인수
    • Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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    • 2004.04a
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    • pp.272-276
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    • 2004
  • 화강암에 대한 화학적 풍화특성과 풍화 정도의 정량적으로 표현하기 위한 방법으로 조사지역의 지형자료에 기초한 습윤지수(wetness indes)를 산정하였으며, 중화속도 및 등급을 산정하였다. 습윤지수는 지형 고도를 이용하여 2-5m 크기의 격자로 구성 된 수치고도모형을 작성하여 계산하였으며 풍화속도와 등급은 Profile model을 이용하였다. 연구대상지역은 마산지역과 서부산지역으로 집수지형을 지시하는 습윤지수의 분포는 마산지역에서 다소 높은 지수 값을 보인다. 임계부하량(critical loads)에 의한 풍화등급은 마산 가포동 지역과 서부산 견마도 지역은 각각 3등급과 4등급에 해당하여 견마도 일원에서 높은 풍화 정도를 지시한다. 이와 같은 결과는 동일한 화강암 분포지의 경우에도 구성 광물의 비율과 기온과 강수량과 같은 지역적인 특성에 따라 상이한 풍화 경향이 나타남을 지시한다.

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Assessment of Soil Loss Estimated by Soil Catena Originated from Granite and Gneiss in Catchment (소유역단위 화강암/편마암 기원 토양 연접군(catena)에 따른 토양 유실 평가)

  • Hur, Seung-Oh;Sonn, Yeon-Kyu;Jung, Kang-Ho;Park, Chan-Won;Lee, Hyun-Hang;Ha, Sang-Keun;Kim, Jeong-Gyu
    • Korean Journal of Soil Science and Fertilizer
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    • v.40 no.5
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    • pp.383-391
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    • 2007
  • This study was conducted for an assessment through the estimation of soil loss by each catchment classified by soil catena. Ten catchments, which are Geumgang21, Namgang03, Dongjincheon, Gapyongcheon01, Gyongancheon02, Geumgang16, Byongsungcheon01, Daesincheon, Bukcheon02, Youngsangang08, were selected from the hydrologic unit map and the detailed soil digital map (1:25,000) for this study. The catchments like Geumgang21, Namgang03, Dongjincheon, Gapyongcheon01 and Gyongancheon02 were mainly composed with soils originated from gneiss. The catchments like Geumgang16, Byongsungcheon01, Daesincheon, Bukcheon02 and Youngsangang08 were mainly composed with soils originated from granites. The grades, which are divided into seven grades with A(very tolerable), B(tolerable), C(moderate), D(low), E(high), F(severe), G(very severe), of soil erosion estimated by USLE in catchments were distributed in most A and B because of paddy land and forestry. In detailed, the soil erosion grade of catchments mainly distributing soils originated from gneiss showed more the distribution of B and C than it of catchments mainly distributing soils originated from granites. The reason of results would be derived from topographic characteristics of soils originated from gneiss located at mountainous. The soil loss according to soil catena linked with Songsan and Jigok series, which are soils originated from gneiss was calculated with $7.66ton\;ha^{-1}\;yr^{-1}$. The soil loss of Geumgang16, Byongsungcheon01, Daesincheon, Bukcheon02 which have the soil catena linked with Samgak and Sangju soil series originated from granite, was calculated with $5.55ton\;ha^{-1}\;yr^{-1}$. The soil loss of Youngsangang08 which have the soil catena linked with Songjung and Baeksan soil series originated from granite was calculated with $9.6ton\;ha^{-1}\;yr^{-1}$, but the conclusion on soil loss in this kind of soil catena would be drawn from the analysis of more catchments. In conclusion, the results of this study inform that the classification of soil catena by catchments and estimation of soil loss according to soil catena would be effective for analysis on the grade of non-point pollution by soil erosion in a catchment.

화강암 분포 지역에서 화학적 풍화변질지수와 풍화등급의 비교

  • 김성욱;이선갑;류호정;김춘식;김인수
    • Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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    • 2004.04a
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    • pp.266-271
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    • 2004
  • 지리적으로 이격된 마산과 서부산 지역의 불국사 화강암 분포지에서 정량적인 풍화도를 판별하기 위해 화학적 풍화지수와 등급을 산정하였다. 연구를 위해 채취된 시료에 대해 풍화 생성광물 동정, 전암분석, 산침수에 의한 이온용출 시험을 실시하였으며, 풍화지수와 지형적인 요소와 풍화속도를 고려하여 풍화등급들 산정하였다. 분석 결과 동일한 물리적, 광물학적 특성을 가지고 있으나 풍화에 따라 생성되는 점토광물의 종류와 함량에서 차이를 보여주며, 풍화의 진행 경로과 범위는 매우 상이한 결과를 보여 준다. 이러한 결과는 암석의 풍화가 모암의 조건 외에 지형, 지질구조, 기온, 강수량과 같은 환경적인 요소에 밀접하게 관련되어 있는 것을 의미할 뿐만 아니라 풍화도 산정에서 환경적인 요소에 대한 해석이 반드시 요구된다.

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Application and Use of Land Quality Ratings in the Valuation of Agricultural Land:An Evaluation of the South Dakota Experience (농지평가에 있어서 토질등급의 이용과 적용 ; 사우스다코다주의 사례)

  • Larry, Janssen;Chung, Doug-Young;Shim, Ho-Young
    • Korean Journal of Soil Science and Fertilizer
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    • v.37 no.4
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    • pp.288-291
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    • 2004
  • The development of land classification and soil productivity rating systems (SPR) are examined for their application to valuation of agricultural land in South Dakota, USA. For current and impending environmental and agricultural land issues, there is virtually no hard data available. Therefore, the study works with government and private sector clients to identify needs, and develop and apply a variety of techniques to mine data and carry out appropriate assessment methods. The application of SPR data to land valuation work conducted by real estate appraisers, tax assessors, and economists are discussed along with an assessment of its benefits and limitations. However, the actual value of the agricultural land can be determined by fulfilling the agricultural's vision of protecting and improving the environment by agricultural activities besides the safe food production. Therefore, it is increasingly important that we understand the impacts of farming and forestry on land, water and air.

Suitability Grouping System of Paddy Soils for Multiple Cropping -Part II : Criteria of the Suitability Grouping (다모작(多毛作)을 위한 답토양(畓土壤) 적성등급(適性等級) 구분(區分) -제(第)2보(報) : 적성등급(適性等級) 구분기준(區分基準))

  • Jung, Yeun-Tae;Park, Eun-Ho;No, Yeong-Pal;Um, Ki-Tae
    • Korean Journal of Soil Science and Fertilizer
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    • v.19 no.4
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    • pp.283-289
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    • 1986
  • To establish a suitability grouping system of paddy soils for multiple cropping of rice with other upland crops, the study was carried out after a few basic experiments. In succession to the results on basic experiment prior, the suitability system proposed and the results of application mentioned in this report were summarized as follows; 1. The factors of soil properties in the system were productivities represented by soil texture and drainage class, as well as salinity of surface and sub-soil pH of chemical properties were considered together with slope, warmth index, ground water table, parent materials etc. of soil physical or environmental conditions. The weights of the factors were combined with multiplicatively and additively so as the total marks of ideal soil to be 100. The system was composed with 5 suitability classes; over 91 mark is class I, under 60 mark class V, and each 10 point interval between classes. The limiting factors "P" (in the case that Physical properties or Productivity marks under 24), "S" (Surface slope less than 15) and "C" (Chemical condition below 15) etc. were appended up to two kinds to the classes except a part of soils in class I. 2. The areas where the warmth index exceed 110 in Yeongnam were 19% for class I, 22.7% for class II, 44.7% for class III, 11.5% for class IV, and 2.1% for class V. The rates in class I and II were slightly more than those of the whole country. 3. The points of each soil gained by the system had a positive correlation ($r=.922^{**}$) with the potential productivities.

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Assessment of the Soil Quality of Chonan City using Soil Pollution Index (토양오염지표에 의한 천안시 토양환경 평가)

  • 장인성;정창모;임계규
    • Journal of Korea Soil Environment Society
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    • v.4 no.2
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    • pp.185-192
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    • 1999
  • To assess the soil quality of Chonan City, soil analyses were conducted according to the 14 different sampling sites. The soil pH of the agricultural area near the expressway was lower than that of the other farming area, which indicated that this acidification was probably attributed to the acid rain caused by the traffic exhaust gas such as SOx and NOx. Acidification was more severe in the dry farming area than in the rice paddy area. All concentration of 6 different heavy metals (As, Cu, Cd, $Cr^{6+}$, Hg, Pb) and organic contaminants (cyanide, organic-p, PCBs, phenols) were found to be lower than the standard of soil pollution. The concentration of BTEX also lower than the standard of soil pollution. An assessment using the SPI (Soil Pollution Index). which was developed to estimate an overall soil quality, was performed. Each SPC (Soil Pollution Score) were evaluated with the results of the data from this study. The soil quality of most area of Chonan City was determined to Class 1 , which indicated that the soil was healthy.

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Analysis of Soil Erosion Hazard Zone by R Factor Frequency (빈도별 R인자에 의한 토양침식 위험지역 분석)

  • Kim, Joo-Hun;Oh, Deuk-Keun
    • Journal of the Korean Association of Geographic Information Studies
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    • v.7 no.2
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    • pp.47-56
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    • 2004
  • The purpose of this study is to estimate soil loss amount according to the rainfall-runoff erosivity factor frequency and to analyze the hazard zone that has high possibilities of soil erosion in the watershed. RUSLE was used to analyze soil loss quantity. The study area is Gwanchon that is part of Seomjin river basin. To obtain the frequency rainfall-runoff erosivity factor, the daily maximum rainfall data for 39 years was used. The probability rainfall was calculated by using the Normal distribution, Log-normal distribution, Pearson type III distribution, Log-Pearson type III distribution and Extreme-I distribution. Log-Pearson type III was considered to be the most accurate of all, and used to estimate 24 hours probabilistic rainfall, and the rainfall-runoff erosivity factor by frequency was estimated by adapting the Huff distribution ratio. As a result of estimating soil erosion quantity, the average soil quantity shows 12.8 and $68.0ton/ha{\cdot}yr$, respectively from 2 years to 200 years frequency. The distribution of soil loss quantity within a watershed was classified into 4 classes, and the hazard zone that has high possibilities of soil erosion was analyzed on the basis of these 4 classes. The hazard zone represents class IV. The land use area of class IV shows $0.01-5.28km^2$, it ranges 0.02-9.06% of total farming area. Especially, in the case of a frequency of 200 years, the field area occupies 77.1% of total fanning area. Accordingly, it is considered that soil loss can be influenced by land cover and cultivation practices.

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Characteristics and classification of paddy soils on the Gimje-Mangyeong plains (김제만경평야(金堤萬頃平野)의 답토양특성(沓土壤特性)과 그 분류(分類)에 관(關)한 연구(硏究))

  • Shin, Yong Hwa
    • Korean Journal of Soil Science and Fertilizer
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    • v.5 no.2
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    • pp.1-38
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    • 1972
  • This study, designed to establish a classification system of paddy soils and suitability groups on productivity and management of paddy land based on soil characteristics, has been made for the paddy soils on the Gimje-Mangyeong plains. The morphological, physical and chemical properties of the 15 paddy soil series found on these plains are briefly as follows: Ten soil series (Baeggu, Bongnam, Buyong, Gimje, Gongdeog, Honam, Jeonbug, Jisan, Mangyeong and Suam) have a B horizon (cambic B), two soil series (Geugrag and Hwadong) have a Bt horizon (argillic B), and three soil series (Gwanghwal, Hwagye and Sindab) have no B or Bt horizons. Uniquely, both the Bongnam and Gongdeog series contain a muck layer in the lower part of subsoil. Four soil series (Baeggu, Gongdeog, Gwanghwal and Sindab) generally are bluish gray and dark gray, and eight soil series (Bongnam, Buyong, Gimje, Honam, Jeonbug, Jisan, Mangyeong and Suam) are either gray or grayish brown. Three soil series (Geugrag, Hwadong and Hwagye), however, are partially gleyed in the surface and subsurface, but have a yellowish brown to brown subsoil or substrata. Seven soil series (Bongnam, Buyong, Geugrag, Gimje, Gongdeog, Honam and Hwadong) are of fine clayey texture, three soil series (Baeggu, Jeonbug and Jisan) belong to fine loamy and fine silty, three soil series (Gwanghwal, Mangyeong and Suam) to coarse loamy and coarse silty, and two soil series (Hwagye and Sindab) to sandy and sandy skeletal texture classes. The carbon content of the surface soil ranges from 0.29 to 2.18 percent, mostly 1.0 to 2.0 percent. The total nitrogen content of the surface soil ranges from 0.03 to 0.25 percent, showing a tendency to decrease irregularly with depth. The C/N ratio in the surface soil ranges from 4.6 to 15.5, dominantly from 8 to 10. The C/N ratio in the subsoil and substrata, however, has a wide range from 3.0 to 20.25. The soil reaction ranges from 4.5 to 8.0. All soil series except the Gwanghwal and Mangyeong series belong to the acid reaction class. The cation exchange cpacity in the surface soil ranges from 5 to 13 milliequivalents per 100 grams of soil, and in all the subsoil and substrata except those of a sandy texture, from 10 to 20 milliequivalents per 100 grams of soil. The base saturation of the soil series except Baeggu and Gongdeog is more than 60 percent. The active iron content of the surface soil ranges from 0.45 to 1.81 ppm, easily-reduceable manganese from 15 to 148 ppm, and available silica from 36 to 366 ppm. The iron and manganese are generally accumulated in a similar position (10 to 70cm. depth), and silica occurs in the same horizon with that of iron and manganese, or in the deeper horizons in the soil profile. The properties of each soil series extending from the sea shore towards the continental plains change with distance and they are related with distance (x) as follows: y(surface soil, clay content) = $$-0.2491x^2+6.0388x-1.1251$$ y(subsoil or subsurface soil, clay content) = $$-0.31646x^2+7.84818x-2.50008$$ y(surface soil, organic carbon content) = $$-0.0089x^2+0.2192x+0.1366$$ y(subsoil or subsurface soil, pH) = $$-0.0178x^2-0.04534x+8.3531$$ Soil profile development, soil color, depositional and organic layers, soil texture and soil reaction etc. are thought to be the major items that should be considered in a paddy soil classification. It was found that most of the soils belonging to the moderately well, somewhat poorly and poorly drained fine and medium textured soils and moderately deep fine textured soils over coarse materials, produce higher paddy yields in excess of 3,750 kg/ha. and most of the soils belonging to the coarse textured soils, well drained fine textured soils, moderately deep medium textured soils over coarse materials and saline soils, produce yields less than 3,750kg/ha. Soil texture of the profile, available soil depth, salinity and gleying of the surface and subsurface soils etc. seem to be the major factors determining rice yields, and these factors are considered when establishing suitability groups for paddy land. The great group, group, subgroup, family and series are proposed for the classification categories of paddy soils. The soil series is the basic category of the classification. The argillic horizon (Bt horizon) and cambic horizon (B horizon) are proposed as two diagnostic horizons of great group level for the determination of the morphological properties of soils in the classification. The specific soil characteristics considered in the group and subgroup levels are soil color of the profile (bluish gray, gray or yellowish brown), salinity (salic), depositonal (fluvic) and muck layers (mucky), and gleying of surface and subsurface soils (gleyic). The family levels are classified on the basis of soil reaction, soil texture and gravel content of the profile. The definitions are given on each classification category, diagnostic horizons and specific soil characteristics respectively. The soils on these plains are classified in eight subgroups and examined under the existing classification system. Further, the suitability group, can be divided into two major categories, suitability class and subclass. The soils within a suitability class are similar in potential productivity and limitation on use and management. Class 1 through 4 are distinguished from each other by combination of soil characteristics. Subclasses are divided from classes that have the same kind of dominant limitations such as slope(e), wettness(w), sandy(s), gravels(g), salinity(t) and non-gleying of the surface and subsurface soils(n). The above suitability classes and subclasses are examined, and the definitions are given. Seven subclasses are found on these plains for paddy soils. The classification and suitability group of 15 paddy soil series on the Gimje-Mangyeong plains may now be tabulated as follows.

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Land Suitability Assessment by Combining Classification Results by Climate and Soil Information Using the Most Limiting Characteristic Method in the Republic of Korea (기후 및 토양 정보에서 최대저해인자법을 이용한 재배적지 구분의 통합에 관한 연구)

  • Kim, Hojung;Shim, Kyomoon;Hyun, Byungkeun
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.18 no.3
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    • pp.127-134
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    • 2016
  • Land suitability assessment for apples and pears was conducted with soil and climate information in South Korea. In doing so, we intended to preserve land and increase the productivity by providing valuable information regarding where more suitable areas for apples or pears are located. We used soil classification driven by soil environmental information system developed by National Institute of Agricultural Science, RDA, and also used climate classification in digital agro-climate map database for which is made by National Institute of Horticultural and Herbal Science. We combined both soil and climate classification results using a most-limiting characteristic method. The combined results showed very similar patterns with the results by classification based on soil information. Such results seem to come from the fact that the classification results by soil relatively lower than those by climate information. The results by soil classification seem to be too downgraded and checking if the final classification ranges in soil are reasonably made is strongly required. Although the most limiting characteristic method had been used widely in land suitability assessment, adapting the method based on results by soil and climate can be influenced by one downgraded factor. Therefore, alternative ways should be carefully considered for increasing the accuracy.