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Relationship between polar motion and key hydrological elements at multiple scales

Science China Earth Sciences 2022年第5期65卷 882-898页

作者： Shanshan DENG Suxia LIU xingguo mo Gongbing PENG Key Laboratory of Water Cycle and Related Land Surface Processes Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of ScienceBeijing 100101China College of Resources and Environment University of Chinese Academy of SciencesBeijing 100190China Sino-Danish College University of Chinese Academy of SciencesBeijing 100049China

Changes in the elements of the Earth system are closely *** the key factors linked with hydrological changes is significant for in-depth analysis of hydrological *** study chooses polar motion,which is the movement of the Earth’s rotational axis relative to its crust,as a key factor in the investigation of the physical processes of its interaction with several hydrological ***,the statistical relationships between polar motion and multi-hydrological elements(i.e.,precipitation,evaporation,runoff,and terrestrial water storage)are investigated,using trend analysis,mutation analysis,cycle analysis,and correlation analysis methods,from basinal to global and from intra-annual to inter-annual ***,their interactions are *** study quantifies the effect of hydrological changes on polar motion using the excitation *** explores the effect of polar motion on hydrological changes based on the theory of equilibrium tides and atmospheric *** results show that they are significantly correlated and abruptly changed at a similar ***,regional to global hydrological changes can significantly excite polar *** April 2002 to June 2020,the global terrestrial water storage decreased significantly(by approximately−4.68 mm yr^(−1)),which significantly drove polar motion towards the direction of the Greenwich Meridian(by approximately 4.32 mas yr^(−1)).Changes in regional terrestrial water storage also contributed significantly to directional changes in polar motion around 2005 and ***,polar motion can perturb the Earth’s centrifugal force system and generate equilibrium tides,and thus further cause changes in sea-level pressure,wind,and water vapor *** show that polar motion-induced water vapor flux divergences correlate significantly with actual precipitation and terrestrial water storage changes in the Yangtze River and the Pearl River *** correlations are also significant when

关键词： Polar motion Hydrological changes Polar motion deformation Excitation Function

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Indexing the relationship between polar motion and water mass change in a giant river basin

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Science China Earth Sciences 2018年第8期61卷 1065-1077页

作者： Suxia LIU Shanshan DENG xingguo mo Haoming YAN Key Laboratory of Water Cycle and Related Land Surface Processes Institute of Geographic Sciences and Natural Resources Research(IGSNRR) Chinese Academy of Sciences University of Chinese Academy of Sciences (UCAS) College of Resources and Environment Sino-Danish College State Key Laboratory of Geodesy and Earth’s Dynamics Institute of Geodesy and Geophysics Chinese Academy of Sciences

Previous studies on the relationship between polar motion and water mass change have mainly concentrated on the excitation of polar motion via global terrestrial water storage changes(TWSC). In view of the uneven distribution of global terrestrial water storage, the relationship between regional water mass change and polar motion needs to be further explored owing to the lack of documented results. In addition, given the uncertainty in the estimation of TWSC, it is required to develop appropriate indices to describe water mass change from different perspectives. The Amazon River basin(referred to Amazon hereafter), containing the world's largest river, located at around the 90°W longitude, is selected as the study area. Water vapor flux, precipitation, runoff and TWSC are selected as the indices of water mass changes to reveal the relationship between polar motion and water mass change in this giant basin. The Mann-Kendall(M-K) method, the accumulated anomaly analysis method and the curvature method are used to identify the abrupt change points; the least squares method is used to estimate the trends,and the Fast Fourier Transform(FFT) and the Ensemble Empirical mode Decomposition(EEMD) are used to perform a periodic analysis, for all the above indices. It is shown that, of all the indices from 1948 to 2011, water vapor flux is the most closely related index to polar motion. In detail, precipitation and water vapor flux contain beat periods of polar motion; water vapor flux,precipitation and polar motion have a common M-K test abrupt change point(occurring in ca. 1968) at the 0.05 significance level; water vapor flux has a similar accumulated anomaly curve with that of polar motion; and water vapor flux is more highly correlated with polar motion than most other indexes. It is found, just like global TWSC, the χ2 component of the excitation via water vapor flux and water storage change in the Amazon follows that of observed polar motion; χ1 does not follow. However,

关键词： Polar motion the Amazon River Basin Location of Vapor-based Inter Tropical Convergence Zone(LVITCZ) Terrestrial water storage changes(TWSC) Water vapor flux

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Global sensitivity and uncertainty analysis of the VIP ecosystem model with an expanded soil nitrogen module for winter wheat-summer maize rotation system in the North China Plain

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Pedosphere 2021年第5期31卷 822-838页

作者： Lihong HE xingguo mo Shi HU Suxia LIU Key Laboratory of Water Cycle and Related Land Surface Processes Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101(China) College of Resources and Environment University of Chinese Academy of SciencesBeijing 100049(China) Sino-Danish Center University of Chinese Academy of SciencesBeijing 100049(China)

Accurately simulating the soil nitrogen(N)cycle is crucial for assessing food security and resource utilization *** accuracy of model predictions relies heavily on model *** sensitivity and uncertainty of the simulations of soil N cycle of winter wheat-summer maize rotation system in the North China Plain(NCP)to the parameters were ***,the N module in the Vegetation Interface Processes(VIP)model was expanded to capture the dynamics of soil N cycle calibrated with field measurements in three ecological stations from 2000 to ***,the morris and Sobol algorithms were adopted to identify the sensitive parameters that impact soil nitrate stock,denitrification rate,and ammonia volatilization ***,the shuffled complex evolution developed at the University of Arizona(SCE-UA)algorithm was used to optimize the selected sensitive parameters to improve prediction *** results showed that the sensitive parameters related to soil nitrate stock included the potential nitrification rate,Michaelis constant,microbial C/N ratio,and slow humus C/N ratio,the sensitive parameters related to denitrification rate were the potential denitrification rate,Michaelis constant,and N2 O production rate,and the sensitive parameters related to ammonia volatilization rate included the coefficient of ammonia volatilization exchange and potential nitrification *** on the optimized parameters,prediction efficiency was notably increased with the highest coefficient of determination being approximately ***,the average relative interval length at the 95% confidence level for soil nitrate stock,denitrification rate,and ammonia volatilization rate were 11.92,0.008,and 4.26,respectively,and the percentages of coverage of the measured values in the 95% confidence interval were 68%,86%,and 92%,*** identifying sensitive parameters related to soil N,the expanded VIP model optimized by the SCE-UA algorithm can effectively si

关键词： ammonia volatilization denitrification rate global sensitivity analyses shuffled complex evolution developed at the University of Arizona(SCE-UA)algorithm vegetation interface processes model

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Dynamics and Responses of Vegetation to Climatic Variations in Ziya- Daqing Basins, China

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Chinese Geographical Science 2016年第4期26卷 478-494页

作者： HUANG Farong mo xingguo LIN Zhonghui HU Shi Key Laboratory of Water Cycle and Related Land Surface Processes Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China University of Chinese Academy of Sciences Beijing 100049 China

Examining the direct and indirect effects of climatic factors on vegetation growth is critical to understand the complex linkage between climate change and vegetation dynamics. Based on the moderate Resolution Imaging Spectroradiometer(moDIS) Normalized Difference Vegetation Index(NDVI) data and meteorological data(temperature and precipitation) from 2001 to 2012, the trend of vegetation dynamics were examined in the Ziya-Daqing basins, China. The path analysis was used to obtain the information on the relationships among climatic factors and their effects on vegetation growth. It was found that the trends of growing season NDVI were insignificant in most plain dry land, while the upward trends were significant in forest, grass and dry land in Taihang mountains. According to the path analysis, in 23% of the basins the inter-annual NDVI variation was dominated by the direct effect of precipitation, in 5% by the direct effects of precipitation and temperature, and in less than 1% by the direct effect of temperature or indirect effects of these two climatic factors. It indicated that precipitation significantly affected the vegetation growth in the whole basins, and this effect was not regulated by temperature. Precipitation increase(especially in July, August and September) was favorable to greenness enhancement. Summer temperature rising showed negative effect on plant productivity enhancement, but temperature rise in April was beneficial for the vegetation growth. When April temperature increases by 1℃, the onset date of greenness for natural vegetation will be 2 days in advance. There was a lag-time effect of precipitation or temperature on monthly NDVI for all land use types except grass.

关键词： Normalized Difference Vegetation lndex (NDVI) phenology climate variation direct effect indirect effect

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Contributions of climate change and human activities to ET and GPP trends over North China Plain from 2000 to 2014

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Journal of Geographical Sciences 2017年第6期27卷 661-680页

作者： CHEN Xuejuan mo xingguo HU Shi LIU Suxia Key Laboratory of Water Cycle and Related Land Surface Processes Natural Resources Research CAS Beijing 100101 China University of Chinese Academy of Sciences Beijing 100049 China College of Resources and Environment/Sino-Danish Center University of Chinese Academy of Sciences Beijing 100049 China

College of Resources and Environment/Sino-Danish Center, Univers Beijing 100049, China nstitute of Geographic Sciences and ty of Chinese Academy of SciencesAbstract： Quantifying the contributions of climate change and human activities to ecosystem evapotranspiration （ET） and gross primary productivity （GPP） changes is important for adaptation assessment and sustainable development. Spatiotemporal patterns of ET and GPP were estimated from 2000 to 2014 over North China Plain （NCP） with a physical and remote sensing-based model. The contributions of climate change and human activities to ET and GPP trends were separated and quantified by the first difference de-trending method and multivariate regression. Results showed that annual ET and GPP increased weakly, with climate change and human activities contributing 0.188 mm yr-2 and 0.466 mm yr-2 to ET trend of 0.654 mm yr-2, and -1.321 g C m-2 yr-2 and 7.542 g C m-2 yr-2 to GPP trend of 6.221 g C m-2 yr-2, respectively. In cropland, the increasing trends mainly occurred in wheat growing stage; the contributions of climate change to wheat and maize were both negative. Precipitation and sunshine duration were the major climatic factors regulating ET and GPP trends. It is concluded that human activities are the main drivers to the long term tendencies of water consumption and gross primary productivity in the NCP.

关键词： evapotranspiration gross primary production contribution process-based model multi-regression North China Plain

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Assessing the impact of climate change on potential evapotranspiration in Aksu River Basin

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Journal of Geographical Sciences 2011年第4期21卷 609-620页

作者： ZHANG Shouhong LIU Suxia mo xingguo SHU Chang SUN Yang ZHANG Chun Key Laboratory of Water Cycle & Related Land Surface Processes Institute of Geographic Sciences and Natural Resources Research CAS Beijing 100101 China Graduate University of Chinese Academy of Sciences Beijing 100049 China

Evapotranspiration is one of the key components of hydrological processes. Assessing the impact of climate factors on evapotranspiration is helpful in understanding the impact of climate change on hydrological processes. In this paper, based on the daily meteorological data from 1960 to 2007 within and around the Aksu River Basin, reference evapotranspiration （RET） was estimated with the FAO Penman-monteith method. The temporal and spatial variations of RET were analyzed by using ARCGIS and Mann-Kendall method. Multiple Regression Analysis was employed to attribute the effects of the variations of air temperature, solar radiation, relative humidity, vapour pressure and wind speed on RET. The results showed that average annual RET in the eastern plain area of the Aksu River Basin was about 1100 mm, which was nearly twice as much as that in the western mountainous area. The trend of annual RET had significant spatial variability. Annual RET was reduced significantly in the southeastern oasis area and southwestern plain area and increased slightly in the mountain areas. The amplitude of the change of RET reached the highest in summer, contributing most of the annual change of RET. Except in some high elevation areas where relative humidity predominated the change of the RET, the variations of wind velocity predominated the changes of RET almost throughout the basin. Taking Kuqa and Ulugqat stations as an example, the variations of wind velocity accounted for more than 50% of the changes of RET.

关键词： climate change reference evapotranspiration Penman-monteith method Aksu River Basin

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Optimizing water resources allocation in the Haihe River basin under groundwater sustainability constraints

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Journal of Geographical Sciences 2019年第6期29卷 935-958页

作者： Grith MARTINSEN LIU Suxia mo xingguo BAUER-GOTTWEIN Peter Key Laboratory of Water Cycle and Related Land Surface Processes Institute of Geographic Sciences and Natural Resources ResearchCAS Department of Environmental Engineering Technical University of Denmark College of Resources and Environment/Sino-Danish Center for Education and Research University of Chinese Academy of Sciences Sino-Danish Center for Education and Research

This study applies a hydroeconomic optimization method for water resources management in the highly water stressed Haihe River basin. A multi-objective, multi-temporal deterministic hydroeconomic optimization model has been built to quantify the economic trade-offs and reveal "minimum cost strategies" when reducing groundwater abstraction to sustainable levels. A complex basin representation, with ～140,000 decision variables is formulated where each decision variable represents a flow-path from a water source to a sink. Available water sources are runoff generated by the sub-basins upstream the nine major surface water reservoirs, the inter-basin transfers from Yellow River and South to North Water Transfer Project(SNWTP) and the natural groundwater recharge to the three main groundwater aquifers. Water demands, i.e. sinks, are aggregated for each model sub-basin in categories of the major agricultural users, domestic, industrial and ecological water demands. Each demand is associated with a curtailment cost and groundwater abstraction with a pumping cost. Groundwater overdraft is constrained in each model scenario, ranging from unlimited overdraft in the plain area groundwater aquifer to sustainable abstractions over an 8-year period. Inflow upstream Yuqiao reservoir, and the inter-basin transfers from SNWTP and Yellow River are identified as the water resources with the highest increase in average shadow prices when limiting groundwater overdraft. An increase in inflow shadow prices of 37.5% indicates that these water sources will be most valuable if sustainable groundwater abstraction should be achieved. The shadow prices of water sources reveal when and where in the Haihe River basin users are curtailed if water resources are managed in the most optimal way. Average shadow prices of 1.6 yuan/m3 for all surface water sources in the sustainable abstraction scenarios shows that overdraft can be avoided by curtailment of users with a willingness-to-pay ≤1.6 yuan/m3.

关键词： Haihe River China hydroeconomic optimization linear programming groundwater sustainability spatio-temporal economic trade-offs decision support

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NDVI时间序列谐波分析与地表物候信息获取

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农业工程学报 2006年第12期22卷 138-144页

作者：林忠辉莫兴国中国科学院地理科学与资源研究所北京100101

植被指数具有明显的季节节律,NDV I时间序列分析可以获取地表植被物候信息,但已有的AVHRR NDV I数据产品仍然存在高噪声,需要进一步校正。在考虑农业植被季节变化特征的基础上,基于先验知识对NDV I时间序列数据傅立叶校正算法进行了改... 详细信息

植被指数具有明显的季节节律,NDV I时间序列分析可以获取地表植被物候信息,但已有的AVHRR NDV I数据产品仍然存在高噪声,需要进一步校正。在考虑农业植被季节变化特征的基础上,基于先验知识对NDV I时间序列数据傅立叶校正算法进行了改进。利用1992年旬最大值合成1 km NOAA-AVHRR NDV I数据,使用该方法对河北省南部地区几种不同植被类型的NDV I数据进行校正,结果显示:改进的傅立叶谐波校正算法能更好地反映农业植被NDV I季节变化节律,且对自然植被同样适用。对校正后的NDV I时间序列数据进行谐波分析表明:谐波的特征值(谐波余项、振幅和位相)与地表植被动态之间存在相关性,谐波余项表征NDV I时间序列的均值,谐波振幅表征NDV I年内波动幅度大小,不同谐波的位相可以表征NDV I季节变化的时间特征,利用这些参数可以获取地表植被物候信息,并可用于土地覆被和土地利用分类研究以及全球变化研究。

关键词：归一化差值植被指数时间序列谐波分析物候

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黄河源区气候-植被-水文协同演变及成因辨析

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地理学报 2022年第7期77卷 1730-1744页

作者：莫兴国刘苏峡胡实中国科学院地理科学与资源研究所中国科学院陆地水循环及地表过程重点实验室北京100101 中国科学院大学资源与环境学院/中丹学院北京100049

全球变化下黄河源区水文过程的演变影响流域生态系统的水源涵养功能,流域植被改变也影响水循环。本文基于气候、植被信息和VIP分布式生态水文模型,开展黄河源区水碳循环要素变化的集成模拟,分析了气候—植被—水文要素的协同演变机制。... 详细信息

全球变化下黄河源区水文过程的演变影响流域生态系统的水源涵养功能,流域植被改变也影响水循环。本文基于气候、植被信息和VIP分布式生态水文模型,开展黄河源区水碳循环要素变化的集成模拟,分析了气候—植被—水文要素的协同演变机制。结果表明,2000年以来黄河源区气候呈暖湿化趋势;植被绿度明显提高,2010—2019年比2000—2009年平均增加了4.5%;生长季延长了至少10 d;植被生产力(GPP)显著上升,倾向率为4.57 gC m^(-2)a^(-1);植被恢复措施对GPP变化的贡献约为23%,气候变化和大气CO_(2)升高的施肥效应的贡献为77%。源区植被蒸散量(ET)呈增加趋势,倾向率为2.54 mm a,水分利用效率(WUE)亦提高,平均相对上升率为5.1%a。GPP、ET和WUE年总量及其变化率在海拔4200 m以下随高度上升而减小,之后变化趋缓。源区植被绿度和径流系数与当年和前一年降水呈显著正相关,反映降水蓄存于植物根层土壤的遗留效应。蒸散增强在一定程度上有利于源区地表—大气之间的水分再循环,帮助缓解生态恢复引起的产水能力下降,促进降水—植被—径流之间的良性互馈关系的形成。揭示水文对气候变化和植被恢复的响应和互馈机制,可为生态恢复措施对源区水源涵养功能的影响及效应的定量评估提供科学依据。

关键词：生态水文蒸散植被生产力 VIP模型气候变化

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水利工程对年楚河流域农业水资源利用效率和作物生产力的影响

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农业工程学报 2022年第14期38卷 98-107页

作者：花顶胡实莫兴国中国科学院地理科学与资源研究所陆地水循环及地表过程重点实验室北京100101 中国科学院大学中丹学院北京101408

水库是水资源调配的主要举措之一,影响着流域生态水文过程和农业生产。满拉水库作为“西藏第一坝”,其兴建与运行对青藏高原的水资源管理与农业发展都具有重要意义。该研究以满拉水库所在的年楚河流域为例,结合SWAT水文模型与遥感影像,... 详细信息

水库是水资源调配的主要举措之一,影响着流域生态水文过程和农业生产。满拉水库作为“西藏第一坝”,其兴建与运行对青藏高原的水资源管理与农业发展都具有重要意义。该研究以满拉水库所在的年楚河流域为例,结合SWAT水文模型与遥感影像,分析了满拉水库蓄水量变化。基于农田水量平衡原理,利用植被界面过程(VegetationInterface Processes,VIP)模型估算了水库调度下流域耕地总初级生产力(Gross Primary Productivity,GPP)的变化。采用岭回归定量分析了人类活动(水库灌溉)、气候因子(气温、降水、辐射)以及大气CO_(2)浓度对流域GPP变化的影响。结果表明:1)自满拉水库修建以来,年楚河径流量减少3.78×10^(9)m^(3)/a,其中,66%的水量经由水库调蓄补给灌溉。2)2000-2019年,流域内耕地多年平均GPP在143~853gC/(m^(2)·a)之间,90%以上耕地的GPP呈上升趋势,平均上升速率为5.3 gC/(m^(2)·a2),其中67%以上的区域上升趋势显著(P<0.05)。3)灌溉量增加和大气CO_(2)浓度上升对耕地GPP上升的贡献率分别为43.9%和25.1%,是GPP增加的主导因素。满拉水库的修建不仅显著改变了流域的生态水文过程,更提高了下游农业灌溉水平和作物生产潜力,研究结果对年楚河流域水资源配置及农业规划具有科学参考价值。

关键词：径流灌溉 GPP 满拉水库年楚河流域

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