河海大学学报(自然科学版)
河海大學學報(自然科學版)
하해대학학보(자연과학판)
JOURNAL OF HOHAI UNIVERSITY (NATURAL SCIENCES)
2015年
3期
197-202
,共6页
颜梅春%陈贝贝%李致家%金文韬%杨宇晖
顏梅春%陳貝貝%李緻傢%金文韜%楊宇暉
안매춘%진패패%리치가%금문도%양우휘
土壤地形指数%SCS模型参数%下垫面水文分区%遥感%屯溪流域%东湾流域
土壤地形指數%SCS模型參數%下墊麵水文分區%遙感%屯溪流域%東灣流域
토양지형지수%SCS모형삼수%하점면수문분구%요감%둔계류역%동만류역
soil topography index%SCS model parameter%hydrological partition of underlying surface%remote sensing%Tunxi Watershed%Dongwan Watershed
针对流域水文响应会受到地质、地形、地貌、植被、土壤等自然地理因素以及土地利用等下垫面因素综合作用的特点,根据流域下垫面的地理特征进行水文响应分区。借助遥感资料对流域下垫面进行分类并获取土地覆盖/土地利用信息,结合流域土壤类型数据与地形指数推求流域的土壤地形指数。进一步地,利用遥感分类信息和土壤地形指数进行流域的水文分区,率定各个水文分区SCS模型的参数CN值并进行水文模拟,结果表明,屯溪流域21次和东湾流域32次洪水径流模拟相对误差均比传统方法的小。
針對流域水文響應會受到地質、地形、地貌、植被、土壤等自然地理因素以及土地利用等下墊麵因素綜閤作用的特點,根據流域下墊麵的地理特徵進行水文響應分區。藉助遙感資料對流域下墊麵進行分類併穫取土地覆蓋/土地利用信息,結閤流域土壤類型數據與地形指數推求流域的土壤地形指數。進一步地,利用遙感分類信息和土壤地形指數進行流域的水文分區,率定各箇水文分區SCS模型的參數CN值併進行水文模擬,結果錶明,屯溪流域21次和東灣流域32次洪水徑流模擬相對誤差均比傳統方法的小。
침대류역수문향응회수도지질、지형、지모、식피、토양등자연지리인소이급토지이용등하점면인소종합작용적특점,근거류역하점면적지리특정진행수문향응분구。차조요감자료대류역하점면진행분류병획취토지복개/토지이용신식,결합류역토양류형수거여지형지수추구류역적토양지형지수。진일보지,이용요감분류신식화토양지형지수진행류역적수문분구,솔정각개수문분구SCS모형적삼수CN치병진행수문모의,결과표명,둔계류역21차화동만류역32차홍수경류모의상대오차균비전통방법적소。
Because the hydrological response of watersheds is comprehensively affected by physical geographical factors, such as geology, topography, landforms, vagetation, and soil, and underlying surface factors, such as land use, hydrological partition was conducted based on the geographical characteristics of underlying surface of watersheds. The underlying surface of watersheds was classified with remote sensing data and information on land cover and land use was obtained. By combining data of watershed agrotype and the topography index, the soil topography index was calculated. Furthermore, taking advantage of the remote sensing data and soil topography index, hydrological partition was conducted, the parameter CN of the SCS model was calibrated in every hydrological subregion, and hydrological simulation was conducted. The results showed that the relative error was less with the proposed method than with the traditional method in 21 flood runoff simulations in the Tunxi Watershed and 32 flood runoff simulations in the Dongwan Watershed.