• Title/Summary/Keyword: Rainfall classification

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Impervious Surface Estimation of Jungnangcheon Basin Using Satellite Remote Sensing and Classification and Regression Tree (위성원격탐사와 분류 및 회귀트리를 이용한 중랑천 유역의 불투수층 추정)

  • Kim, Sooyoung;Heo, Jun-Haeng;Heo, Joon;Kim, SungHoon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.28 no.6D
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    • pp.915-922
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    • 2008
  • Impervious surface is an important index for the estimation of urbanization and the assessment of environmental change. In addition, impervious surface influences on short-term rainfall-runoff model during rainy season in hydrology. Recently, the necessity of impervious surface estimation is increased because the effect of impervious surface is increased by rapid urbanization. In this study, impervious surface estimation is performed by using remote sensing image such as Landsat-7 ETM+image with $30m{\times}30m$ spatial resolution and satellite image with $1m{\times}1m$ spatial resolution based on Jungnangcheon basin. A tasseled cap transformation and NDVI(normalized difference vegetation index) transformation are applied to Landsat-7 ETM+ image to collect various predict variables. Moreover, the training data sets are collected by overlaying between Landsat-7 ETM+ image and satellite image, and CART(classification and regression tree) is applied to the training data sets. As a result, impervious surface prediction model is consisted and the impervious surface map is generated for Jungnangcheon basin.

Crop Yield Estimation Utilizing Feature Selection Based on Graph Classification (그래프 분류 기반 특징 선택을 활용한 작물 수확량 예측)

  • Ohnmar Khin;Sung-Keun Lee
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.6
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    • pp.1269-1276
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    • 2023
  • Crop estimation is essential for the multinational meal and powerful demand due to its numerous aspects like soil, rain, climate, atmosphere, and their relations. The consequence of climate shift impacts the farming yield products. We operate the dataset with temperature, rainfall, humidity, etc. The current research focuses on feature selection with multifarious classifiers to assist farmers and agriculturalists. The crop yield estimation utilizing the feature selection approach is 96% accuracy. Feature selection affects a machine learning model's performance. Additionally, the performance of the current graph classifier accepts 81.5%. Eventually, the random forest regressor without feature selections owns 78% accuracy and the decision tree regressor without feature selections retains 67% accuracy. Our research merit is to reveal the experimental results of with and without feature selection significance for the proposed ten algorithms. These findings support learners and students in choosing the appropriate models for crop classification studies.

A new classification rule of hydrological soil groups of Jeju Island: Application to representative basins and evaluation of previous studies (제주도의 새로운 수문학적 토양군 분류 방법: 대표 유역에 대한 적용 및 기존연구 평가)

  • Kang, Minseok;Lee, Youngju;Park, Changyeol;Yoo, Chulsang
    • Journal of Korea Water Resources Association
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    • v.51 no.12
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    • pp.1261-1271
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    • 2018
  • This study evaluates the applicability of the classification rule of hydrological soil group proposed by Lee et al. (2018) with its application to three river basins (Jungmuncheon, Cheonmicheon, and Hancheon) in Jeju Island. The CN values are estimated as results of this application to these three basins, which is then compared with those estimated by applying the conventional three methods. Additionally, previous studies related with the classification of soil groups of Jesu Island, such as the infiltration and rainfall-runoff analysis, are reviewed to evaluate how the resulting hydrological soil groups vary depending on the adopted classification method.. Summarizing the results is as follows. (1) Comparison result of the hydrological soil groups of Jeju Island with respect to the classification method shows that the soil group B is dominant in the application of Lee et al. (2018). However, it is hydrological soil groups C and D in the application of Hu and Jung (1987), hydrological soil groups A and C in the application of Jung et al. (1995), and hydrological soil group D in the application of RDA (2007). (2) In all the applications of Lee et al. (2018) to three selected river basins in Jeju Island, the CN valuse are found to be smaller than those by other conventional three methods.. Lastly, (3) The evaluation results of previous studies related with the classification of hydrological soil groups analysis in Jeju Island shows that the CN value in the Jeju Island may be smaller than those estimated by conventional three methods, also the initial loss higher than 0.2S.

A STUDY ON EROSION (CAUSES AND REMEDIES) BASED ON HYDROLOGICAL DATA

  • K.M. Ibe, Sr;H. Krynen
    • Water Engineering Research
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    • v.2 no.4
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    • pp.269-276
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    • 2001
  • The project concentrates on an hydrological analysis. The analysis consists of rainfall, infiltration, Determination of runoff and sediment yield. The risque of erosion and the control measures are related to the slopes and land use. Therefore the first approach to erosion must be correct land use based on land classification. Basically there are two types of mechanical protection works; Drainage and Storage. Realization of a drainage system will be very costly and therefore temporary storage is preferred. For farmland in flat areas hardly any measures are needed. For farmland on slopes temporary storage can be effected by applying tillage with ridges within contour bunds. Along roads infiltration pits should be constructed and in areas with houses, the solution to avoid runoff will be water harvesting.

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A Method of Extraction Landslide Risk Area using GIS (GIS를 이용한 산사태 위험지역 추출 기법)

  • Yang In-Tae;Park Jae-Guk;Park Jung-Hwan;Park Hyung-Geun
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2006.04a
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    • pp.439-444
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    • 2006
  • Korea Peninsula consists of approximately 70% of mountainous terrain of total area, in addition, annual average rainfall is plentiful, especially during rainy season of summer, and it is often accompanied with typhoon and heavy rain, which results in frequent landslides. Since there are limitations with existing methods to analyze extensive disasters, it is necessary to develop new remote sensing technology using an artificial satellite to study on landslides closely. This paper is written in order to establish the database with map information on various landslides using GIS, furthermore, to analyze precariousness of the areas, which are susceptible to landslide, and risks of potential areas in consideration of heavy rain, based on land-cover classification derived from images from satellite.

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Estimated groundwater recharge including water pipes leakage in Kumagaya City

  • Saito, Keisuke;Ogawa, Susumu;Takamura, Hiroki;Yashiro, Yusuke
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.735-737
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    • 2003
  • The drying up of seepage in Kumagaya City was caused by the increase of impermeable area with urbanization. The project of rain fall infiltration facilities has been planned for improvement of a hydrological cycle in Kumagaya City. With GIS and remote sensing, the most suitable arrangement for the rainfall infiltration inlets was examined. Distribution maps for infiltration, evapotranspiration and groundwater recharge at each town in Kumagaya City was designed from the land cover classification map with hydrological analysis. In these distribution maps, influence of the leak from drinking water and sewage networks was counted to the hydrological cycle.

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Characteristics of Precipitable Water Vapor and Liquid Water Path Retrieved from a Ground-based Microwave Radiometric Profiler at Haenam NCIO (해남 라디오미터로부터 산출된 가강수량과 구름물량의 분포특성)

  • Won, Hye Young;Kim, Yeon-Hee;Chang, Dong-Eon
    • Atmosphere
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    • v.20 no.1
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    • pp.1-12
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    • 2010
  • Temporal distributions and characteristics of PWV (Precipitable Water Vapor) and LWP (Liquid Water Path) are investigated by using the microwave radiometric profiler at Haenam NCIO from 1 August 2007 to 31 July 2008. Temporal variations of PWV are closely connected with the thermal response of water vapor in atmosphere. The variations of LWP are characterized by the rainfall variation being basically attributable to the heavy rain-bearing clouds. The frequency distributions of PWV and LWP according to the four sky conditions ('clear', 'lightly cloudy', 'cloudy', and 'deeply cloudy') by total cloud amount at Wando Observatory corresponds with a change of slope in cumulative distribution function for PWV and LWP. There results implies that the classification of sky condition can be applied by using the distribution of PWV and LWP from microwave radiometric profiler.

Estimation of Paddy Water Demand Using Land Cover Map in North Korea (토지피복도를 이용한 북한 지역의 논용수 수요량 추정)

  • Yu, Seung-Hwan;Yun, Seong-Han;Hong, Seok-Yeong;Choe, Jin-Yong
    • KCID journal
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    • v.14 no.2
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    • pp.236-244
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    • 2007
  • Agricultural water demand in North Korea must be considered for the near-future investment in agricultural consolidation projects and to prepare for the future unification. Thus, the objective of this study is to estimate the agricultural water demand of paddy fieldss in North Korea. GIS data including land cover classification map, Thiessen network and administration maps of North Korea, and meteorological data were synthesized. In order to estimate paddy water demand for a 10-year return period, the FAO Blaney-Criddle method and the fixed effective rainfall ratio method were used. The results showed that 4.77 billion $\beta$(c)/year paddy water demand is required for the 512,400 ha of paddy fieldss. Paddy water demand in the three major regions - Hwanghaedo, Pyeongando, Hamgyeongnamdo - was estimated chargong 81.7 percent of total paddy water demand in North Korea.

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Rainfall Classification from a Dogye Coal Mining Area (도계 석탄광산 지역의 강우계급특성)

  • Seo, Ji-Yeon;Choi, Yong-Hun;Shin, Hyun-Jun;Won, Chul-Hee;Choi, Joong-Dae
    • Proceedings of the Korea Water Resources Association Conference
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    • 2010.05a
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    • pp.1211-1215
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    • 2010
  • 국내의 석탄자원은 1989년부터 비경제 탄광은 폐광시키고 경제성 있는 탄광을 육성하는 석탄산업 합리화시책을 실시하여, 전국 343개의 탄광이 폐광되어 현재는 5개의 탄광만이 가행되고 있다. 이들 가행광산중 강원도 삼척시 도계읍에 위치한 채탄작업을 위한 갱구 입구의 작업지역(DCM, Dogye coal mine)을 선정하여 강우 유출수 모니터링을 시행하였다. DCM지역의 수문분석 결과 연강우량의 83%는 일 강우 80 mm 이하에서 발생하였다. 또한 연강우량의 50% 이상이 40 mm 이하의 강우계급에서 발생하고 있는 것으로 나타났다. 연간 강우횟수는 약 90회 정도 발생하고 있으며, 평균적으로 4일에 1회의 강우가 발생하였다. 또한 100 mm 이상의 강우도 연평균 강수량의 13.78%를 차지하고 있어 집중호우가 총 강우량에 미치는 영향이 작지 않음을 나타냈다. 비점오염의 배출은 강우량에 의해 영향을 많이 받기 때문에 기상이변으로 게릴라성 집중호우가 많이 발생하는 요즘 큰 강우사상에 대하여 많은 대비를 해야 할 것으로 판단되었다.

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Runoff and Erosion of Alachlor, Ethalfluralin, Ethoprophos and Pendimethalin by Rainfall Simulation (인공강우에 의한 alachlor, ethalfluralin, ethoprophos 및 pendimethalin의 토양표면 유출)

  • Kim, Chan-Sub;Ihm, Yang-Bin;Lee, Young-Deuk;Oh, Byung-Youl
    • Korean Journal of Environmental Agriculture
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    • v.25 no.4
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    • pp.306-315
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    • 2006
  • Two different experiments, adsorption/desorption and runoff by rainfall simulation of four pesticides, such as alachlor, ethalfluralin, ethoprophos and pendimethalin were undertaken their runoff and erosion losses from sloped land and to assess the influence of their properties and environmental factors on them. The mobility of four pesticides and which phase they were transported by were examined in adsorption study, and the influence of rainfall pattern and sloping degree on the pesticide losses were evaluated in simulated rainfall study. Freundlich adsorption parameters (K) by the adsorption and desorption methods were 1.2 and 2.2 for ethoprophos, 1.5 and 2.6 for alachlor, respectively. And adsorption distribution coefficients (Kd) by the adsorption and desorption methods were 56 and 94 for ethalfluralin, and 104 and 189 for pendimethalin, respectively. K or Kd values of pesticides by the desorption method which were desorbed from the soil after thoroughly mixing, were higher than these ones by the adsorption method which pesticides dissolved in water were adsorbed to the soil. Another parameter (1/n), representing the linearity of adsorption, in Freundlich equation for the pesticides tested ranged from 0.96 to 1.02 by the desorption method and from 0.87 to 1.02 by the adsorption method. Therefore, the desorption method was more independent from pesticide concentration in soil solution than the adsorption method. By Soil Survey and Land Research Center (SSLRC)'s classification for pesticide mobility, alachlor and ethoprophos were classified into moderately mobile $(75{\leq}Koc<500)$, and ethalfluralin and pendimethalin were included to non-mobile class (Koc > 4000). Runoff and erosion loss of pesticides by three rainfall scenarios were from 1.0 to 6.4% and from 0.3 to 1.2% for alachlor, from 1.0 to 2.5% and from 1.7 to 10.1% for ethalfluralin, from 1.3 to 2.9% and from 3.9 to 10.8% for pendimethalin, and from 0.6 to 2.7% and from 0.1 % 0.3% for ethoprophos, respectively. Distribution of pesticides in soil profile were investigated after the simulated rainfall study. Alachlor and ethoprophos were leached to from 10 to 15 cm of soil layer, but ethalfluralin and pendimethalin were mostly remained at the top 5 cm of soil profile. The losses of the pesticides at 30% of sloping degree were from 0.2 to 1.9 times higher than those at 10%. The difference of their runoff loss was related with their concentration in runoff water while the difference of their erosion loss must be closely related with the quantity of soil eroded.