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万峰湖建设对区域降水时空分布的影响
Influence of Wanfeng Lake Reservoir on Spatial and Temporal Distribution of Regional Precipitation
大型水库建设将改变区域降水的时空分布特征。以喀斯特区域建成的大型水库万峰湖为对象,基于高分辨率降水产品,分析水库建设前后区域平均降水量的年、季变化特征,对比建库前后降水空间分布格局,分析水汽输送通量及路径、水库建设、地形特征因子对降水的影响。结果表明万峰湖建设后局地降水空间分布格局发生明显改变,降水量的改变在不同季节也有所差异:夏秋季降水表现为减小、而春冬季表现为增加的特征;基于随机森林算法的贡献度分析表明水汽输送通量及路径方向是影响该区域降水的主导因子,建库后相对水库距离对研究区降水的重要性略有增强,反映出来自水库的陆源水汽贡献度有所增加。研究结果对于水库区域的水资源可持续利用和洪旱灾害防治具有重要的参考意义。
The construction of large reservoirs alters the spatial and temporal distribution of regional precipitation. This study focuses on the impact of the construction of Wanfeng Lake, a large reservoir situated in karst region, by analyzing the annual and seasonal variations of regional average precipitation before and after the reservoir’s construction using high-resolution precipitation data. We compared the spatial distribution patterns of precipitation before and after the reservoir construction and examined how factors such as flux and path direction of water vapor transport, reservoir construction, and topographic characteristics influence precipitation. The results indicate that the construction of Wanfeng Lake significantly changes the spatial distribution of local precipitation, with seasonal variations in precipitation amounts: decreases in summer and autumn, and increases in spring and winter. The Random Forest Feature Importance analysis identifies the flux and path direction of water vapor transport as the primary factors influencing regional precipitation. Moreover, the relative distance to reservoir plays a slightly more significant role after construction, suggesting an increased contribution of water vapor from the reservoir. These findings offer important insights for sustainable water resource management and flood/drought disaster prevention in reservoir regions.
大型水库 / 区域降水 / 时空变化 / 影响机制 / 万峰湖
large reservoir / regional precipitation / spatial and temporal variation / influence mechanism / Wanfeng Lake
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Studying the spatio-temporal evolution process and changing factors of ecological quality in Changshou District of Chongqing is of great significance for the ecological construction and restoration of the Three Gorges Reservoir area. In this study, we utilized Landsat-5 TM images and Landsat-8 OLI images from 2002 to 2021 and constructed the Remote Sensing Ecological Index (RSEI). With the RSEI, we investigated the evolution of ecological quality in Changshou District from both temporal and spatial perspectives. Additionally, we employed the random forest model regression to analyze the correlation between ecological quality and potential driving factors. Our findings revealed the following: 1) The average RSEI in Changshou District declined from 0.642 7 in 2002 to 0.566 5 in 2006. However, since 2010, the average RSEI has exhibited a steady increase, indicating an overall improvement in ecological quality after a previous deterioration. 2) The areas with better ecological quality mainly concentrates in higher elevation regions, whereas the industrial park, chemical industry park, and urban residential areas along the Yangtze River exhibited relatively poorer ecological conditions. 3) Over the period from 2002 to 2021, Changshou District experienced an improved area of 628.838 km2, accounting for 44.16% of the total, and a degraded area of 183.269 km2, which represented 12.87% of the total. The overall effect of ecological quality improvement was evident. 4) Through random forest regression analysis, we identified elevation and population density as the primary potential driving factors influencing RSEI changes. Moreover, human activities and terrain factors played a dominant role in regional ecological changes. As a result, RSEI and the random forest model can be effectively utilized for evaluating the ecological quality of both Changshou District and similar areas within the Three Gorges Reservoir region.
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According to the ERA-Interim data, the 21-year water vapor transport flux and divergence over the main water-receiving area of the water diversion project in central Yunnan Province were calculated. The spatial-temporal characteristics of water vapor transport, convergence and divergence in the studied area were also analyzed. Results demonstrate that the annual average water vapor transport in the studied area gradually increases from the northwest to the southeast, and is dominated by latitudinal transport. The source of water vapor moves with the seasons and is controlled by southwest wind in summer. The intensity of water vapor transport in the studied area in summer is significantly lower than that in the other three seasons. From May to July, the intensity of water vapor transport shows a gradual decline. In July, a water vapor convergence center emerges in the south of the studied area on the 850 hPa barosphere and a water vapor divergent zone in the southwest on the 450 hPa barosphere, beneficial for the formation of precipitation in the southwest.
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There exists lake-land breeze that wind blowing onshore from lake to land during the day and offshore in the evening around lake area, due to differences in air pressure mainly caused by different heat capacities between lake and land. Generally speaking, the closer to the lake, the more remarkable the lake climate effects. For studying the lake climate effects, it is not only important for understanding the characteristics of local climate and atmospheric circulation, but also helpful for analyzing and forecasting meso-and micro-scale weather processes. Miyun Reservoir (MYR), which located at 15 km north of Miyun District of Beijing city, is the largest artificial lake in North China. Up to now, there are seldom reports on the influence of MYR on local weather and climate. Based on hourly observation data obtained by 77 automatic weather stations surrounding MYR from 2011 to 2015, local climate effects of MYR were explored and discussed in the present work. The results showed that: 1) comparing with peripheral plains, climate effects of MYR were characterized by the facts that lower air temperature, higher humidity, slightly weaker wind speed and larger rainfall. As far as regional climate was concerned, the MYR had a modulate effect on the local climate and the spatial extent of the effect is about 10 km. The closer to the MYR, the more notable the MYR climate effects. 2) The MYR climate effects were mainly occurred in the summer, especially for temperature and rainfall. In detail, averaged air temperature was lower of 0.96℃ and averaged rainfall amount was higher of 13.3% in MYR than in the adjacent plains, where has the same elevation with MYR away from 10km. In addition, there were significant differences in diurnal variations of meteorological factors between the south and north regions of the MYR. 3) Excluding the impact of the large-scale background wind field, local wind presented the characteristics of monthly variation, i.e., mountain breeze was dominant from April to September, especially in summer; while in other months, valley breeze was more prevailing, especially in the wintertime. In general, annual averaged local wind speed was about 0.14 m/s in the east-west direction, which was slightly larger than that of 0.10 m/s in the north-south direction around the MYR. 4) In summer, there existed significant differences in wind vectors at the south and north regions of the MYR, due to the influence of local circulation. In most time of the whole day, component anomalies were usually in the same phase, while component anomalies presented out of phase at the south and north regions of the MYR. Lake-land breeze and mountain-valley breeze had the same/opposite directions at the north/south regions of the MYR, and thus these correspondingly formed the overlaying/counteractive effects. Due to lake-land differences in heat capacities and topography effects, lake-land breeze and mountain-valley breeze in the areas around MYR usually existed at the same time, which mainly caused the differences in seasonal and diurnal variations of meteorological elements at different locations around the MYR region. |
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首先利用中国区域地面气象要素数据集(CMFD)分析了1992-2015年纳木错地区月平均降水分布,发现湖泊效应导致的下风向降水在10-11月较为明显。其次根据中国科学院纳木错多圈层综合观测研究站自动气象站2 m的风速和气温的数据,分析了2005-2015年焚风累积发生次数的月分布特征,发现12月焚风发生几率最大,且10月是秋季中发生焚风现象次数最多的月份的结果。再者,运用WRF模型对纳木错地区10月份降水进行了模拟,发现在已有大气环流背景条件下,纳木错地区秋季降水受到湖泊存在的影响比上游地形影响显著。有、无湖模拟试验表明,纳木错地区湖泊的存在会使周边地区尤其是湖泊下风向降水增多,影响范围可达100 km。上风向较高地形会使整个区域降水小幅增加,上风向地形导致的焚风效应对纳木错地区降水的影响较弱。
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This paper analyzed the distribution of monthly averaged precipitation from 1992 to 2015 around Nam Co area by using CMFD (China meteorological forcing data) and the frequency of foehn from 1995 to 2015 by using wind and air temperature data from Nam Co station(Nam Co Station for Multisphere Observation and Research, Chinese Academy of Sciences). The results showed that the spatial lake-effect precipitation is most significant in fall, and foehn is the most frequent in December. And in October, the frequency of foehn is the most in fall. Then we simulated precipitation over Nam Co area in October using WRF. We found that under the background of air circulation, lake can affect the precipitation over Nam Co area more significantly than upstream orography. Comparing no lake experiment with control experiment, we can conclude that the exist of Nam Co lake can make surrounding area, especially downstream area, more precipitation and the effect distance can be 100 km. Upstream orography can enhance precipitation but the effect is little, and foehn has little effect on the precipitation in areas downstream of the lake.
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万育生, 王栋, 黄朝君. 丹江口水库来水情势分析与径流预测[J]. 南水北调与水利科技(中英文), 2021, 19(3): 417-426.
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晁红艳, 张娟, 陈海莲, 等. 1976—2017年青海湖东北部地区极端降水事件变化特征分析[J]. 中国农学通报, 2020, 36(2):109-116.
为进一步了解高寒牧区气候变化,依据1976—2017年青海湖东北部海晏站逐日降水资料,采用百分位法确定冬、夏半年极端降雨(雪)阈值并统计极端降水事件,运用线性趋势、R/S和小波分析法分析极端降水事件变化特征、未来演变趋势及周期。结果表明:青海湖东北部地区冬、夏半年极端降水日数和极端降水量呈不显著增加趋势;冬半年极端降水强度和日最大降水量不显著增加,而夏半年不显著减小;极端降水对年降水的贡献率均以不同的速率增加,其中夏半年的极端降水对年降水的影响较大;冬半年降水日数不显著减小,而降水量显著增加,表明冬半年发生短时强降水的几率增大,夏半年的降水日数和降水量增加不明显;未来,冬半年极端降水日数增加趋势将发生转变,极端降水量与之前的变化趋势无关将继续呈现震荡性,其他各要素将持续前期的变化趋势;冬(夏)半年极端降水日数和降水量分别存在明显的周期变化特征。高寒牧区的极端降水研究对于预防短时强降水带来的雪灾、洪涝事件的发生意义重大。
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To further understand the climate change in alpine pastoral areas, based on the daily precipitation data of Haiyan Station in the northeast of Qinghai Lake from 1976 to 2017, we determined the extreme precipitation (snow) threshold in winter (summer) half year and counted extreme precipitation events by using the percentile method, analyzed the variation characteristics, future trends and cycles of extreme precipitation events by linear trend, R/S and wavelet analysis. The results showed that: the extreme precipitation days and extreme precipitation in the northeastern of Qinghai Lake did not increase significantly in winter and summer half year; the extreme precipitation intensity and daily maximum precipitation did not increase significantly in winter half year, but did not decrease significantly in summer half year; the contribution rate of extreme precipitation to annual precipitation increased at different rates, and the extreme precipitation in summer half year had a greater impact on annual precipitation; the number of precipitation days in winter half year did not decrease significantly, while the precipitation increased significantly, indicating that the probability of short-term heavy precipitation in winter half year increased, and the number of precipitation days and precipitation in summer half year were not obvious; in the future, the trend of increasing the number of extreme precipitation days in winter half year would change; the extreme precipitation would continue to show volatility irrespective of the previous trend, and other factors would continue to change in the early stage; the number of extreme precipitation days and precipitation in winter (summer) half year had obvious periodic variation characteristics. The study of extreme precipitation in alpine pastoral areas is of significance in preventing the occurrence of snowstorms and floods caused by short-term heavy precipitation. |
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刘仲藜, 章新平, 黎祖贤, 等. 洞庭湖流域近58年季节性干旱时空分布及大气环流分析[J]. 长江流域资源与环境, 2020, 29(6): 1432-1444.
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