水科学进展
水科學進展
수과학진전
Advances in Water Science
2015年
5期
614-623
,共10页
土地覆被%潜在蒸散发量%Shuttleworth-Wallace模型%黑河
土地覆被%潛在蒸散髮量%Shuttleworth-Wallace模型%黑河
토지복피%잠재증산발량%Shuttleworth-Wallace모형%흑하
land cover%potential evapotranspiration%Shuttleworth-Wallace model%Heihe River
基于多源遥感数据产品, 利用Shuttleworth-Wallace( S-W)模型估算了黑河上中游流域2000—2010年潜在蒸散发( potential evapotranspiration, ETP ) , 并考虑不同土地覆被类型, 分析了ETP的时空变化特征及影响要素, 分别利用ETP和ET0驱动水文模型, 比较径流模拟精度. 结果表明: ① 基于高精度遥感数据, S-W模型可模拟区域ETP.黑河上中游流域, 夏季ETP对年值的贡献最大, 各土地覆被类型的ETP年内变化趋势一致. 总体而言, 植被条件越好, ETP越小; ② 在研究区内, 相对湿度对ETP变化的影响最大, 叶面积指数( LAI)对ETP变化的影响与辐射相近.植被越稀疏, ETP对气象要素及LAI的敏感性越强; ③ 与ET0相比, ETP能够更好地描述陆面蒸散发能力, 相同条件下使用ETP驱动水文模型模拟精度更高.
基于多源遙感數據產品, 利用Shuttleworth-Wallace( S-W)模型估算瞭黑河上中遊流域2000—2010年潛在蒸散髮( potential evapotranspiration, ETP ) , 併攷慮不同土地覆被類型, 分析瞭ETP的時空變化特徵及影響要素, 分彆利用ETP和ET0驅動水文模型, 比較徑流模擬精度. 結果錶明: ① 基于高精度遙感數據, S-W模型可模擬區域ETP.黑河上中遊流域, 夏季ETP對年值的貢獻最大, 各土地覆被類型的ETP年內變化趨勢一緻. 總體而言, 植被條件越好, ETP越小; ② 在研究區內, 相對濕度對ETP變化的影響最大, 葉麵積指數( LAI)對ETP變化的影響與輻射相近.植被越稀疏, ETP對氣象要素及LAI的敏感性越彊; ③ 與ET0相比, ETP能夠更好地描述陸麵蒸散髮能力, 相同條件下使用ETP驅動水文模型模擬精度更高.
기우다원요감수거산품, 이용Shuttleworth-Wallace( S-W)모형고산료흑하상중유류역2000—2010년잠재증산발( potential evapotranspiration, ETP ) , 병고필불동토지복피류형, 분석료ETP적시공변화특정급영향요소, 분별이용ETP화ET0구동수문모형, 비교경류모의정도. 결과표명: ① 기우고정도요감수거, S-W모형가모의구역ETP.흑하상중유류역, 하계ETP대년치적공헌최대, 각토지복피류형적ETP년내변화추세일치. 총체이언, 식피조건월호, ETP월소; ② 재연구구내, 상대습도대ETP변화적영향최대, 협면적지수( LAI)대ETP변화적영향여복사상근.식피월희소, ETP대기상요소급LAI적민감성월강; ③ 여ET0상비, ETP능구경호지묘술륙면증산발능력, 상동조건하사용ETP구동수문모형모의정도경고.
On the basis of the MODIS LAI remote sensing products, China Meteorological Forcing Dataset and other multi-source datasets, the Shuttleworth-Wallace ( S-W) model, which considers the temporal variation of leaf area in-dex ( LAI) , was applied to estimate potential evapotranspiration ( ETP ) during the period of 2000—2010 in the up-stream and midstream areas of the Heihe River basin. To investigate the temporal and spatial variability of ETP , sensi-tivity of ETP to meteorological parameters and LAI was calculated for each land cover type. To compare ETP and ET0 values for runoff simulation, a conceptual hydrologic model with precipitation and ETP or ET0 was developed in the up-stream area of the Heihe River basin. Results showed that: ① S-W model, based on high-resolution remote sensing datasets, was able to accurately estimate annual and seasonal ETP in large river basins with complex underlying sur-faces as well as in ungauged basins. The values of ETP in summer contributed more to the annual value than those of other seasons. ETP in areas with different land cover types varied greatly. Generally speaking, ETP decreased with the development of vegetation. ② In the study area, ETP was most sensitive to relative humidity. The sensitivity of ETP to LAI was as great as that to net solar radiation. The sensitivity of ETP to meteorological parameters and LAI became greater with the decline of vegetation. ③ Compared with hydrologic model with ET0 calculated by P-M model, the model with ETP better simulated the depth of runoff at Yingluoxia hydrologic station. Hence, ETP calculated by S-W model was more suitable for the simulation of runoff in the present study.