http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Jeevan Kumar Ban (검색결과 4 건)
- 무료
- 기관 내 무료
- 유료
-
-
jeevan kumar ban,유인상,정상만 한국방재학회 2016 한국방재학회논문집 Vol.16 No.3
This study intended to spatially estimate the soil erosion rate of Kulekhani reservoir catchment area, Nepal applying Revised Universal Soil Loss Equation (RUSLE), adopting remote sensing data and geographic information system (GIS) techniques. Average soil erosion rate of watershed was found to be 195.11Mg ha -1 year -1 which is quite high as compared to threshold rate of erosion 15Mg ha -1 year -1 applicable for Himalayan region. It is concluded that soil erosion rate of comparatively 41% area was tolerable but has no distinct zone and approximately 58% area of catchment was on the verge of high to very severe intensity classes. Higher severity of soil erosion was scattered all over the watershed hence conservation measures should be implemented over whole catchment area. The research demonstrates that the use of remote sensing data and GIS has an abundant advantage in predicting soil erosion rate for the sustainable land use and ecological management planning of Himalayan region of Nepal.
-
Ban, Jeevan Kumar,Yu, Insang,Jeong, Sangman Korean Society of Hazard Mitigation 2016 한국방재학회논문집 Vol.16 No.3
본 연구에서는 개정범용토양유실공식을 적용하고 위성자료를 활용한 GIS기법을 통해 네팔의 쿨리카니 저수지(Kulekhani reservoir) 유역의 공간적인 토양침식률을 예측하였다. 쿨라카니저수지 유역의 평균토양침식률은 $195.11Mg/ha{\cdot}yr$로 산정되었으며 이 수치는 히말라야 지역의 토양침식률 역치인 $15Mg/ha{\cdot}yr$ 과 비교하여 상당히 높은 것으로 분석되었다. 산정된 토양침식률 분포는 침식정도에 따라 slight, moderate, high, very high, severe, very severe 6가지 등급으로 구분하였다. 분석결과, 유역전체 면적의 41%는 slight erosion, 1%는 moderate erosion, 58%는 high erosion과 severe erosion 등급으로 나타났다. 유역 전체에서 토양침식률이 높게 나타나 전 유역에 대한 토양침식의 보존을 위한 대책이 수립되어야 할 것으로 판단된다. 또한, GIS를 통한 위성자료의 활용은 네팔 히말라야 지역의 지속가능한 토지이용과 생태관리계획을 위한 토양침식률 추정에 매우 유용한 것으로 판단된다. This study intended to spatially estimate the soil erosion rate of Kulekhani reservoir catchment area, Nepal applying Revised Universal Soil Loss Equation (RUSLE), adopting remote sensing data and geographic information system (GIS) techniques. Average soil erosion rate of watershed was found to be $195.11Mg\;ha^{-1}year^{-1}$ which is quite high as compared to threshold rate of erosion $15Mg\;ha^{-1}year^{-1}$ applicable for Himalayan region. It is concluded that soil erosion rate of comparatively 41% area was tolerable but has no distinct zone and approximately 58% area of catchment was on the verge of high to very severe intensity classes. Higher severity of soil erosion was scattered all over the watershed hence conservation measures should be implemented over whole catchment area. The research demonstrates that the use of remote sensing data and GIS has an abundant advantage in predicting soil erosion rate for the sustainable land use and ecological management planning of Himalayan region of Nepal.
-
Pilot Early Warning System of the University of Santo Tomas
Rubio.Christabel Jane P,Poblete.Shikara,Jose.Malcolm L.,Ban. Jeevan Kumar 한국방재학회 2016 Journal of Disaster Management Vol.1 No.3
During typhoon season, the University of the Santo Tomas (UST) and its outlying areas are the most susceptible to floods in Manila. In line with this, a model was developed in order to generate a more realistic flood simulation. Storm Water Management Model (SWMM) was utilized for the hydrologic modeling of surface run-off. A flood forecasting and early warning system was developed for UST which is located at España Boulevard, Sampaloc, Manila to aid the Thomasian community in times of rainfall events. This study aimed to determine the flood volume within and surrounding the university, to generate inundation reports for 5yr, 15yr, 25yr and 50yr return periods, and to plan a framework for the sensor and broadcasting device integrating the resulting critical amount of rainfall. The data processing was divided into two sequence: accumulate hydrologic data and plot study area input. Accumulation of hydrologic data includes gathering of rainfall data and drainage properties while plot of study area is the actual modelling of the study area in SWMM. Lead time and critical amount of rainfall needed were obtained after a successful simulation of the model. The resulting initial flood occurrence and flood volumes were applied in the proposal of a flood warning system for the University of Santo Tomas. After the simulation and data analysis, the lead time and critical amount of rainfall attained in this study using SWMM, presented advantageous outcomes to predict flooding in the UST. Moreover, the resulted values were suitable for integration on a web-based flood warning system.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
