1. 宁夏大学西北土地退化与生态恢复省部共建国家重点实验室培育基地,银川,750021
2. 宁夏大学西北退化生态系统恢复与重建教育部重点实验室,银川,750021
3. 宁夏大学生态环境学院,银川,750021
[ "吴宏玥(1998—),女,硕士研究生,主要从事生态过程监测与模拟研究。E-mail:wuhongyuede@163.com" ]
纸质出版:2023
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吴宏玥, 杜灵通, 乔成龙, 等. 基于蒸散演变驱动的宁夏绿洲平原生态系统耗水变化[J]. 水土保持学报, 2023,37(3):172-180.
WU Hongyue, DU Lingtong, QIAO Chenglong, et al. Water Consumption of Ecosystem Driven by Evapotranspiration Evolution in Ningxia Oasis Plain[J]. 2023, 37(3): 172-180.
吴宏玥, 杜灵通, 乔成龙, 等. 基于蒸散演变驱动的宁夏绿洲平原生态系统耗水变化[J]. 水土保持学报, 2023,37(3):172-180. DOI: 10.13870/j.cnki.stbcxb.2023.03.023.
WU Hongyue, DU Lingtong, QIAO Chenglong, et al. Water Consumption of Ecosystem Driven by Evapotranspiration Evolution in Ningxia Oasis Plain[J]. 2023, 37(3): 172-180. DOI: 10.13870/j.cnki.stbcxb.2023.03.023.
为揭示宁夏绿洲平原蒸散水文过程演变引起的区域耗水变化规律
在谷歌地球引擎平台下
利用2001—2020年的MOD16A2蒸散数据
基于Sen趋势度、重新标度极差分析、多元回归残差分析等时空分析手段
对宁夏绿洲平原蒸散时空演变特征开展研究
并分析其驱动因素。结果表明:(1)2001—2020年间
宁夏绿洲平原的年平均蒸散量为355.37 mm
且呈6.75 mm/a的增加趋势(p<0.01)
其中
耕地的年蒸散为443.50~605.47 mm
明显高于区域平均蒸散;同时
多年平均蒸散远高于同期降水量
故维持绿洲生态系统平衡需要大量引黄灌溉水源。(2)宁夏绿洲平原蒸散在空间上有一定的异质性
并与地表覆盖类型差异有关
表现出耕地区高、草地和城市建成区低的规律。(3)宁夏绿洲平原有77.60%的区域其蒸散呈显著增加
但2020年后将有93.90%的区域蒸散变化趋势将发生逆转。(4)人类活动强烈地驱动宁夏绿洲平原蒸散的增强
其中
人类活动协同气候变化共同正向驱动的区域占53.96%。(5)蒸散的逐渐增强
导致宁夏绿洲平原流域内的水分亏缺显著
即供给生态系统光合生产以及回补土壤储水在减少。综上
近些年
宁夏绿洲平原的人为垦殖活动显著增强生态系统的耗水量
给区域水资源供给带来压力
未来应控制合理的农业垦殖力度并加强农业结构调整
以减缓水资源压力。
To reveal the change of regional water consumption caused by the hydrological process evolution of evapotranspiration in the Ningxia oasis plain
this study investigated the spatial and temporal evolution characteristics of evapotranspiration in the Ningxia oasis plain and analyzed its driving factors under the platform of Google Earth Engine using MOD16A2 evapotranspiration data from 2001 to 2020. The Sen trend
rescaled range analysis
and multiple regression residual analysis were used as the main methods in the study. The results showed that: (1) The annual average evapotranspiration of overall pixels over the oasis of Ningxia plain was 355.37 mm from 2001 to 2020 and showed a significant increasing trend of 6.75 mm/a (p<0.01). The annual evapotranspiration of cultivated land was 443.50~605.47 mm
which is obviously higher than the regional average evapotranspiration. The annual average evapotranspiration over the oasis of Ningxia plain was much higher than its precipitation in the same period. Therefore
a large amount of irrigation water was needed to maintain the water balance of the oasis ecosystem in Ningxia plain. (2) There was a spatial heterogeneity of evapotranspiration in the oasis of Ningxia plain
which is induced by the differences in land cover types
showing that the cultivated area is higher in evapotranspiration
while the grassland and urban built-up area are lower in evapotranspiration. (3) 77.60% of the areas showed a significant increase in evapotranspiration in the oasis of Ningxia plain. But 93.90% of the areas will had a reverse trend of evapotranspiration after 2020 when compared with the present trend. (4) Human activities strongly drove the increase of evapotranspiration over the oasis of Ningxia plain
and 53.96% of the areas were positively driven by both human activities and climate change. (5) With the gradual increase of evapotranspiration
the water budget in the oasis of Ningxia plain was significantly reduced
which induced the decreasing water supply for photosynthetic production
and soil water remediation in the ecosystem is decreasing. Based on the above results
it can be concluded that human reclamation activities in recent years in the oasis of Ningxia plain have significantly increased the water consumption of the ecosystem
which brought pressure on the regional water balance. In the future
the agricultural reclamation in the oasis of Ningxia plain should be controlled at a reasonable range and the agricultural structure adjustment should be strengthened to mitigate the water resource shortage.
Bhattarai N, Wagle P. Recent advances in remote sensing of evapotranspiration[J].Remote Sensing,2021,13(21):e4260.
Feddes R A, Hoff H, Bruen M, et al. Modeling root water uptake in hydrological and climate models[J].Bulletin of the American Meteorological Society,2001,82(12):2797-2810.
Chahine M T. The hydrological cycle and its influence on climate[J].Nature,1992,359(6394):373-380.
赵文智,程国栋.干旱区生态水文过程研究若干问题评述[J].科学通报,2001,46(22):1851-1857.
Agam N, Evett S R, Tolk J A, et al. Evaporative loss from irrigated interrows in a highly advective semi-arid agricultural area[J].Advances in Water Resources,2012,50:20-30.
Javadian M, Behrangi A, Smith W K, et al. Global trends in evapotranspiration dominated by increases across large cropland regions[J].Remote Sensing,2020,12(7):e1221.
Cha M X, Li M M, Wang X Q. Estimation of seasonal evapotranspiration for crops in arid regions using multisource remote sensing images[J].Remote Sensing,2020,12(15):e2398.
Miralles D G, Holmes T R H, De J R A M, et al. Global land-surface evaporation estimated from satellite-based observations[J].Hydrology and Earth System Sciences,2011,15(2):453-469.
Yao Y J, Liang S L, Li X L, et al. Bayesian multimodel estimation of global terrestrial latent heat flux from eddy covariance, meteorological, and satellite observations[J].Journal of Geophysical Research:Atmospheres,2014,119(8):4521-4545.
Mu Q Z, Zhao M S, Running S W. Improvements to a MODIS global terrestrial evapotranspiration algorithm[J].Remote Sensing of Environment,2011,115(8):1781-1800.
Mu Q Z, Heinsch F A, Zhao M S, et al. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data[J].Remote Sensing of Environment,2007,111(4):519-536.
Dzikiti S, Jovanovic N Z, Bugan R D, et al. Comparison of two remote sensing models for estimating evapotranspiration:Algorithm evaluation and application in seasonally arid ecosystems in South Africa[J].Journal of Arid Land,2019,11(4):495-512.
吴桂平,刘元波,赵晓松,等.基于MOD16产品的鄱阳湖流域地表蒸散量时空分布特征[J].地理研究,2013,32(4):617-627.
贺添,邵全琴.基于MOD16产品的我国2001-2010年蒸散发时空格局变化分析[J].地球信息科学学报,2014,16(6):979-988.
王鹏涛,延军平,蒋冲,等.2000-2012年陕甘宁黄土高原区地表蒸散时空分布及影响因素[J].中国沙漠,2016,36(2):499-507.
刘可,杜灵通,候静,等.2000-2014年宁夏草地蒸散时空特征及演变规律[J].草业学报,2018,27(3):1-12.
云龙,段超宇,李海霞.宁夏水资源承载能力评价研究[J].中国农村水利水电,2019(1):36-40,50.
吴洪相,白耀华,宁夏水资源公报(2001-2020年)[R].银川:宁夏回族自治区水利厅,2001-2020.
Jiang W G, Yuan L H, Wang W J, et al. Spatio-temporal analysis of vegetation variation in the Yellow River basin[J].Ecological Indicators,2015,51:117-126.
Hurst H E. The long-term storage capacity of reser-voirs[J].Transactions of the American Society of CivilEngineer,1951,116:770-799.
皮贵宁,贺中华,游漫,等.2001-2020年贵州省气候变化及人类活动对植被变化的影响[J].水土保持学报,2022,36(4):160-167.
宫菲,杜灵通,刘可,等.两种遥感蒸散产品在干旱半干旱地区的应用对比[J].干旱区资源与环境,2019,33(1):197-202.
马小燕,朱晓雯,赵金涛,等.1995-2015年宁夏沿黄城市带蒸散发时空变化特征[J].水资源与水工程学报,2022,33(2):216-224.
王志成,李稚,张辉,等.阿克苏河流域灌区土地利用变化对蒸散耗水的影响[J].灌溉排水学报,2018,37(6):79-85.
赵芸,贾荣亮,滕嘉玲,等.腾格里沙漠人工固沙植被演替生物土壤结皮盖度对沙埋的响应[J].生态学报,2017,37(18):6138-6148.
宁夏回族自治区统计局.宁夏统计年鉴(2001-2020年)[M].北京:中国统计出版社,2001-2021.
郑方,马力文,赵慧.宁夏灌区压减水稻面积对水环境的影响[J].湖北农业科学,2021,60(19):25-29.
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