메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
Yong-Su Choi (국립농업과학원) Sung-Chul Kim (Chungnam National University) Joung-Du Shin (National Institute of Agricultural Science)
저널정보
한국토양비료학회 한국토양비료학회지 한국토양비료학회지 제48권 제5호
발행연도
2015.10
수록면
413 - 420 (8page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
Objective of this study was to investigate adsorption characteristics and kinetic models of NH₄-N to biochar produced from rice hull in respective to mitigation of greenhouse gases. NH₄-N concentration was analyzed by UV Spectrophotometer. For the experiment, the soil texture used in this study was sandy loam soil, and application rates of chemical fertilizer and pig compost were 420-200-370 kg ha<SUP>-1</SUP> (N-P-K) and 5,500 kg ha<SUP>-1</SUP> as recommended amount after soil test for corn cultivation. Biochar treatments were 0.2-5% to soil weight. Its adsorption characteristic was investigated with application of Langmuir isotherm, and pseudo-first order kinetic model and pseudo-second order kinetic model were used as kinetic models. Adsorption amount and removal rates of NH₄-N were 39.3 mg g<SUP>-1</SUP> and 28.0% in 0.2% biochar treatment, respectively. The sorption of NH₄-N to biochar was fitted well by Langmiur model because it was observed that dimensionless constant (RL) was 0.48. The maximum adsorption amount (q<SUB>m</SUB>) and binding strength constant (b) were calculated as 4.1 mg g<SUP>-1</SUP> and 0.01 L mg<SUP>-1</SUP> in Langmuir isotherm, respectively. The pseudo-second order kinetic model was more appropriate than pseudo-first order kinetic model for high correlation coefficient (r<SUP>2</SUP>) of pseudo-second order kinetic model. Therefore, biochar produced from rice hull could reduce N₂O by adsorbing NH₄-N to biochar cooperated in sandy loam soil.

목차

Introduction
Materials and Methods
Results and Discussion
Conclusion
References

참고문헌 (22)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2016-521-002012954