林业科学
林業科學
임업과학
SCIENTIA SILVAE SINICAE
2010年
2期
103-109
,共7页
常禹%冷文芳%贺红士%刘滨凡
常禹%冷文芳%賀紅士%劉濱凡
상우%랭문방%하홍사%류빈범
大兴安岭%呼中%林火%证据权重法
大興安嶺%呼中%林火%證據權重法
대흥안령%호중%림화%증거권중법
Daxing'an Mountains%Huzhong area%forest fire%weights of evidence
以大兴安岭呼中林区为研究区,综合考虑影响林火发生的自然和人为因素,应用证据权重法,从众多的影响因素中,选取能反映地形(坡向、坡位指数)、气象(年均温、年降水量)、可燃物(1 h,10 h时滞地表死可燃物的载量、1 h时滞地表死可燃物含水量)和人类活动(距道路的距离)等因素,分析林火发生的可能性.结果表明:呼中林区林火的发生存在一定的不确定性,但研究结果对该地区森林的管理仍具有很好的指导作用,可以为森林火险区划、森林可燃物优先处理区的选择提供科学依据.应加强森林可燃物的基础研究,尤其是森林可燃物载量的时空分布规律的探讨,提高空间数据的准确性,减少不确定性,从而更好地对林火的发生作出科学的预测.
以大興安嶺呼中林區為研究區,綜閤攷慮影響林火髮生的自然和人為因素,應用證據權重法,從衆多的影響因素中,選取能反映地形(坡嚮、坡位指數)、氣象(年均溫、年降水量)、可燃物(1 h,10 h時滯地錶死可燃物的載量、1 h時滯地錶死可燃物含水量)和人類活動(距道路的距離)等因素,分析林火髮生的可能性.結果錶明:呼中林區林火的髮生存在一定的不確定性,但研究結果對該地區森林的管理仍具有很好的指導作用,可以為森林火險區劃、森林可燃物優先處理區的選擇提供科學依據.應加彊森林可燃物的基礎研究,尤其是森林可燃物載量的時空分佈規律的探討,提高空間數據的準確性,減少不確定性,從而更好地對林火的髮生作齣科學的預測.
이대흥안령호중림구위연구구,종합고필영향림화발생적자연화인위인소,응용증거권중법,종음다적영향인소중,선취능반영지형(파향、파위지수)、기상(년균온、년강수량)、가연물(1 h,10 h시체지표사가연물적재량、1 h시체지표사가연물함수량)화인류활동(거도로적거리)등인소,분석림화발생적가능성.결과표명:호중림구림화적발생존재일정적불학정성,단연구결과대해지구삼림적관리잉구유흔호적지도작용,가이위삼림화험구화、삼림가연물우선처리구적선택제공과학의거.응가강삼림가연물적기출연구,우기시삼림가연물재량적시공분포규률적탐토,제고공간수거적준학성,감소불학정성,종이경호지대림화적발생작출과학적예측.
Understanding the probability of fire occurrence at different spatial locations has important significance for forest fire prevention and management.Many factors and their complicated interactions may affect the occurrence of fire.These make the predicting of fire occurrence very difficult.Fire occurrence prediction has become hot topics in the field of forest fire research.This study was conducted in Huzhong area of the Daxing'an Mountains.By using weights of evidence,we chose the natural and anthropogenic factors that comprehensively affect forest fire occurrence,including aspect,topographic position,annual mean temperature,annual precipitation,1 hour dead fuel loads,10 hour dead fuel load,1 hour dead fuel water content and distance to road.With these chosen factors as evidences,the fire occurrence probability map was generated.Our results showed that fire occurrence in Huzhong area had uncertainty to some extent.But our results still have significant implications for forest management.They may provide scientific basis for zoning forest fire risk and choosing priority areas for fuel treatment.Future research should be focused on forest fuels,especially on the spatial and temporal distribution of forest fuel load,to improve the accuracy of forest fuel data and to predict scientifically the occurrence of forest fire.