水科学进展
水科學進展
수과학진전
2015年
2期
151-160
,共10页
郭生练%郭家力%侯雨坤%熊立华%洪兴骏
郭生練%郭傢力%侯雨坤%熊立華%洪興駿
곽생련%곽가력%후우곤%웅립화%홍흥준
气候变化%Budyko假设%水量平衡%径流预测%长江流域
氣候變化%Budyko假設%水量平衡%徑流預測%長江流域
기후변화%Budyko가설%수량평형%경류예측%장강류역
climate change%Budyko hypothesis%water budgets%runoff prediction%Yangtze River basin
基于Budyko水热耦合平衡假设,推导了年径流变化的计算公式,分析了长江流域多年平均潜在蒸发量、降水量、干旱指数和敏感性参数的空间变化规律。选用BCC?CSM1?1全球气候模式和RCP4?5排放情景,把未来气候要素预估值与LS?SVM统计降尺度方法相耦合,预测长江流域未来的气温、降水和径流变化情况。采用乌江和汉江流域的长期径流观测资料,分析验证了基于Budyko公式计算年径流变化的可靠性。结果表明:降水量变化是影响径流量变化的主导因素;长江各子流域未来径流相对变化增减不一,最大变幅10%左右;在未来2020s (2010—2039年)、2050s(2040—2069年)和2080s(2070—2099年)3个时期内,长江南北两岸流域的径流将出现“南减北增”现象,北岸径流变化增幅逐渐升高,南岸径流变化减幅逐渐降低。
基于Budyko水熱耦閤平衡假設,推導瞭年徑流變化的計算公式,分析瞭長江流域多年平均潛在蒸髮量、降水量、榦旱指數和敏感性參數的空間變化規律。選用BCC?CSM1?1全毬氣候模式和RCP4?5排放情景,把未來氣候要素預估值與LS?SVM統計降呎度方法相耦閤,預測長江流域未來的氣溫、降水和徑流變化情況。採用烏江和漢江流域的長期徑流觀測資料,分析驗證瞭基于Budyko公式計算年徑流變化的可靠性。結果錶明:降水量變化是影響徑流量變化的主導因素;長江各子流域未來徑流相對變化增減不一,最大變幅10%左右;在未來2020s (2010—2039年)、2050s(2040—2069年)和2080s(2070—2099年)3箇時期內,長江南北兩岸流域的徑流將齣現“南減北增”現象,北岸徑流變化增幅逐漸升高,南岸徑流變化減幅逐漸降低。
기우Budyko수열우합평형가설,추도료년경류변화적계산공식,분석료장강류역다년평균잠재증발량、강수량、간한지수화민감성삼수적공간변화규률。선용BCC?CSM1?1전구기후모식화RCP4?5배방정경,파미래기후요소예고치여LS?SVM통계강척도방법상우합,예측장강류역미래적기온、강수화경류변화정황。채용오강화한강류역적장기경류관측자료,분석험증료기우Budyko공식계산년경류변화적가고성。결과표명:강수량변화시영향경류량변화적주도인소;장강각자류역미래경류상대변화증감불일,최대변폭10%좌우;재미래2020s (2010—2039년)、2050s(2040—2069년)화2080s(2070—2099년)3개시기내,장강남북량안류역적경류장출현“남감북증”현상,북안경류변화증폭축점승고,남안경류변화감폭축점강저。
The calculation formula of annual runoff change was derived based on Budyko hypothesis. The spatial dis?tribution laws of annual mean potential evapotranspiration, precipitation, and aridity index as well as sensitivity coeffi?cient over Yangtze River basin were analyzed. The outputs of global climate model BCC?CSM1?1under RCP4?5 emis?sion scenario was combined with LS?SVM statistical downscaling method to predict future temperature, precipitation and runoff changes in Yangtze River sub?basins. The observed hydrological data series of Wujiang and Hanjiang sub?basins were used to verify Budyko formula for estimating relative runoff change. The results show that precipitation is a dominant factor affecting runoff change;the relative runoff change values are different in each sub?basin and the lar?gest change value is around 10%; The relative runoff changes increase in the north bank and decrease in the south bank of Yangtze River basin during three future periods, i?e?, 2020s ( 2010—2039 ) , 2050s ( 2040—2069 ) and 2080s(2070—2099). The proposed methodology provides a new approach for runoff prediction in large scale basin and un?gauged region.