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1.
1973-2018年青海湖岸线动态变化 总被引：2，自引：2，他引：0
青海湖独特的地理位置使得其不仅对环湖周边区域气候起着天然调节器的作用，而且还拥有丰富的湖岸线资源，准确、及时地掌握青海湖岸线动态变化对保护沿湖生态环境有重要意义.因此本文基于1973-2018年Landsat MSS/TM/OLI遥感影像和1961-2017年实测水位资料，对青海湖岸线动态变化及对鸟类栖息地的影响进行研究，同时结合面积、水位及气象数据讨论了影响岸线变化的主要因素.研究表明：1）近45年来青海湖岸线发生变化最大的区域是东岸的沙岛，西岸的鸟岛、铁布卡湾及北岸沙柳河入口区域.尤其自2004年以来，鸟岛地区岸线后退距离最大（5.52 km），鸟类栖息地扩张约97.94 km2，为鸟类提供了较好的栖息环境.（2）1973-2018年青海湖岸线长度以0.88 km/a的速率逐渐延长.1997年之前岸线长度呈较为平稳的上升趋势，1997-2004年呈波动下降趋势，2004年之后呈剧烈波动增加趋势，岸线曲折性也表现出相同的变化趋势.（3）总体上岸线长度和曲折性受水位和面积的影响并不显著，但在不同的水位情况下，二者对青海湖动态变化做出不同的响应.尤其当水位小于3193.3 m或面积小于4249.3 km2时，岸线曲折性会随着水位和面积变化呈现相同的变化趋势，而水位高于3193.3 m时，岸线曲折性一直在增加，且水位上升速率越大则曲折性年际变化越大.（4）1973-2004年间青海湖水位下降和土地沙漠化是造成湖岸线变化的直接成因，人类活动及草场退化加速了湖泊岸线的变迁.2004年之后，随着青海湖水位回升与面积扩张，岸线逐渐后退，尤其在2017-2018年岸线后退距离最大. 相似文献
2.
利用美国NCEP再分析月平均资料及我国华北地区26个测站月降水资料,采用奇异值分解（SVD）方法,研究了华北降水的年代际和年际变化特征与北半球大气环流的联系.结果表明,首先对降水和大气变量资料作相应时间尺度的分离是非常必要的,否则所得到的SVD结果不能反映年代际变化特征而只能反映年际变化特征;华北降水年代际和年际变化对应的大气环流异常有明显的差异;对应发生在20世纪70年代后期华北降水的一次年代际跃变,环流场均存在明显的跃变,而且有一个从地面向对流层上层传播的过程. 相似文献
3.
淮河流域夏季降水的振荡特征及其与气候背景的联系 总被引：1，自引：0，他引：1
利用1922~2007年淮河流域和长江中下游夏季降水量资料,使用小波变换、广义极值分布等方法,分析了近86年来淮河流域夏季降水的年际、年代际振荡和概率分布特征.在此基础上,分析了东亚夏季风、太平洋海表温度及东亚遥相关环流等气候背景与淮河流域夏季降水年际和年代际振荡的联系.另外,还比较了淮河流域与长江中下游夏季降水年代际振荡特征及其气候背景的差异.结果表明：①淮河流域夏季降水存在显著的准2年振荡和年代际振荡特征.准2年振荡的强弱变化与年代际振荡强弱变化一致.20世纪90年代末以来,淮河流域夏季降水处在年代际偏多期,准2年振荡特征突出,极端强降水事件的概率亦显著增加;②淮河流域夏季降水年代际振荡与PDO及东亚夏季风年代际振荡关系密切,当PDO处于冷位相年代际阶段且东亚夏季风处于年代际偏弱时,淮河流域夏季降水呈年代际偏多趋势;③淮河流域夏季降水的准2年振荡主要受到东亚夏季风准2年振荡的控制,同时与东亚环流系统从高纬至低纬的＂＋,？,＋＂特定配置有关;④淮河流域与长江中下游夏季降水存在年代际位相差异,其差异主要与西太平洋副热带高压强度和位置的年代际变化有关. 相似文献
4.
根据上海地区2个气象站近50年的年均气温数据,采用回归分析、滑动平均和Mann\|Kendall检验法研究上海地区气温的年代际变化与跃变,城郊温差的年际变化;采用趋势拟合与相关分析,研究城郊温差与城市人口、GDP、能源消耗量、建成区面积和住宅竣工面积等各项城市发展指标的关系.结果表明：（1）近50年来,上海地区年均气温缓慢上升,20世纪90年代后城郊温差呈锯齿状上升趋势,若以徐家汇代表城区,奉贤代表郊区,则近50年来,城郊温差增温率为0.23℃/10a.（2）1989~1990年为上海城区气温的跃变年份,而郊区的气温跃变出现在20世纪90年代中期.（3）各项城市发展指标均与上海城郊温差有着显著的相关性,表明它们与上海城市热岛的发展关系密切,其中,住宅建设是上海城市热岛最主要的驱动因素,城市人口和经济发展也具有重要影响. 相似文献
5.
北极海冰的急剧消融在近年来欧亚大陆频发的低温事件中扮演着关键角色.秋季北极海冰的偏少对应着冬季欧亚大陆的低温天气,然而二者的联系在年代际和年际两种时间尺度上存在显著区别.本文运用1979—2012年哈德莱中心第一套海冰覆盖率(HadISST1)、欧洲中心(ERA_Interim)的2m温度、风场、海平面气压场、高度场等资料,分别研究了年代际和年际时间尺度上前期秋季北极海冰与欧亚冬季气温的联系.结果表明,欧亚和北极地区(0°—160°E,15°N—90°N)的冬季气温具有显著的年代际和年际变化.在年代际尺度上,温度异常分布在21世纪初由北极冷-大陆暖转为北极暖-大陆冷.这一年代际转折与前期秋季整个北极地区的海冰年代际减少联系密切.秋季北极全区海冰年代际偏少对应冬季欧亚大陆中高纬地区的高压异常,有利于北大西洋的暖湿气流北上和北极的冷空气南侵,造成北极暖-大陆冷的温度分布;在年际时间尺度上,温度异常分布主要由第一模态的年际变化部分和第二模态组成,且第一模态包含的年际变率信号也存在显著的年代际变化.年际尺度上全区北极海冰对欧亚冬季气温的影响远不及位于北冰洋西南边缘的巴伦支海、喀拉海和拉普捷夫海西部(30°E—120°E,75°N—85°N)的关键区海冰影响显著.关键区内海冰的偏少会引发冬季的北大西洋涛动负位相,导致北大西洋吹往欧亚大陆的暖湿气流减弱和欧亚大陆中高纬地区的气温偏低. 相似文献
6.
为探索三峡水库运行前后长江中下游干流及两湖径流过程的变化及其驱动因素,利用宜昌、监利、大通、七里山、湖口共5个水文站的流量资料,分析了各站径流过程的变化特征及其成因。结论:(1)各站年径流量均减少,但除七里山站之外,其它各站减少比例均小于10%且变化不显著;(2)干流各站月径流量最大减幅发生在10月,而七里山站、湖口站分别发生在7月、4月;(3)干流各站月径流量最大增幅发生在3月,而七里山站、湖口站分别发生在1月、6月;(4)宜昌站,1—4月径流量增加是三峡水库入库径流增加和水库调度的共同作用结果,6—8月径流量减少的主因是三峡水库入库径流量减少,5、9、10月径流量变化的主因是三峡水库调度;(5)监利站,径流量的变化与宜昌站表现出高度的一致性,但冬季各月径流量的增幅均大于宜昌站;(6)大通站,4—6月径流量变化方向与湖口站一致,其它月份变化方向均与宜昌站一致。(7)七里山站,7月径流量减少的主因是洞庭湖流域来水减少,9、10月径流量减少的主要原因是荆江分流减少,但洞庭湖流域来水减少也是重要原因。(8)湖口站,4、5月径流量减少的主因是流域降水减少,9、10月径流量减少的主要原因是鄱阳... 相似文献
7.
1979～2004年中国大陆南方地区春季降水的年代际变化特征及其与欧亚大陆积雪的联系 总被引：1，自引：0，他引：1
本文研究了中国南方春季降水在1979～2004年期间的年代际变化特征,结果表明无论在年际还是在年代际时间尺度上,中国南方东南和西南地区降水都具有反相变化的特征,并分别呈现出显著的减少趋势和增加趋势.中国南方春季降水在20世纪80年代末出现了一次明显的年代际气候转型.东南地区的春季降水明显减少,降水量在80年代末以后比80年代末之前减少了30%;而西南地区的春季降水则明显增加,80年代末之后的降水量是80年代末之前的两倍.伴随着这次年代际转型,欧亚大陆西伯利亚上空对流层中低层位势高度增强,对流层低层中国东部北风增强,造成中国东部西南风减弱,使得降水在东南地区减少,西南地区增多.中国南方春季降水在20世纪80年代末出现的年代际气候转型与欧亚大陆春季积雪的年代际转型有密切联系.从20世纪80年代末开始欧亚大陆春季积雪明显减少,与欧亚大陆春季积雪变化所伴随的大气环流变化,是造成春季我国东南地区降水减少和西南地区降水增多的一个重要原因. 相似文献
8.
淮河流域径流过程变化时空特征及成因 总被引：2，自引：2，他引：0
径流变化特征及成因研究对于农业灌溉、流域水资源配置与管理等具有重要理论与现实意义,而淮河流域是我国重要农业区,因而淮河流域径流过程特征及机理研究更突显其重要性.利用非参数Mann-Kendall趋势检验和小波转换等方法系统分析了淮河中上游息县、王家坝和蒋家集等9个水文站点径流资料,分析淮河流域中上游径流年内分配、年际变化、径流趋势、突变特征及周期变化等径流过程变化特征,并探讨了径流变化特征的成因.研究发现:(1)淮河中上游径流量主要集中于5-9月,约占年径流总量的70.37%,变差系数介于0.16~0.85之间,径流年际极值比则介于1.7~23.9之间,径流年际变化剧烈;(2)淮河中上游径流量整体呈下降趋势,尤其是4-5月径流下降趋势显著,季节变化不明显;(3)各站点年径流量在2000s呈显著周期变化,班台、王家坝、鲁台子和蚌埠站在该尺度上存在2.0~3.4 a尺度的小周期,息县、潢川和蒋家集站处于高能区.季节和汛期与非汛期的显著周期集中出现在1960s、1980s和2000s,1960s周期主要为2~8a.(4)潢川站年径流量对气候因子的响应最为明显,其对混合ENSO指数和太平洋中高纬年代际振荡指数(PDO)的响应分别通过了95%和99%的显著性检验.PDO对各站点月径流的直接影响最为显著,且主要集中在6月份,多呈显著负相关关系,以班台站最为显著,分别在1、4和6月通过了95%的显著性检验.南方涛动指数、北大西洋涛动指数和Nino3.4区海表温度距平指数(Nino3.4)对研究区月径流量的响应存在显著滞后性,Nino3.4对研究区月径流量滞后期的影响主要发生在潢川和蒋家集站,而北极涛动指数和PDO指数无滞后性响应. 相似文献
9.
1974-2016年青海湖水面面积变化遥感监测 总被引：6，自引：2，他引：4
位于青藏高原东北部的青海湖是我国最大的咸水湖和内陆湖，也是青藏高原东北部的重要水汽源，青海湖面积的动态变化是气候和周围生态环境状况的重要体现.本研究利用长时间序列中分辨率遥感影像数据，通过人工提取湖岸水涯线信息对青海湖水面面积进行监测.结果显示：1974-2016年期间，青海湖面积总体上呈先减后增的变化趋势.2004年水面积最小，为4223.73 km2，比1974年减少253.80 km2.其中1974-1987年期间面积骤减；2000 2009年期间青海湖水面面积变化幅度相对较小，平均变化幅度为6.85 km2.2009-2016年7 a间，水面面积增加了128.27 km2.2012年青海湖面积骤增，比2011年8月同期增加65.12 km2；同年6月和9月的面积变化为2002-2016年最大，达到59.18 km2.湖东岸沙岛的湖岸线变化最为显著，1974-2004年岸线后退最大距离达4.59 km，2012年的年内最大变化距离为0.39 km.青海湖流域内降水补给增加，生态环境治理措施促使入湖河流径流量增大，是近年来湖水面积增加的主要原因. 相似文献
10.
《中国科学:地球科学》2015,(9)
东亚夏季降水和环流在1979~2004年间的20世纪90年代初期发生了显著的年代际转折.基于三套探空资料与四套再分析资料,分析了东亚夏季对流层温度的年代际变化,结果表明:东亚夏季200~500 h Pa平均温度(upper tropospheric temperature,UTT)的南北向温差在1992年前后发生年代际减弱,表现为1992年之后中国35°N以南地区年代际变冷,中心位于长江流域,35°N以北年代际变暖,中心位于中国西北-蒙古地区.多种资料对比分析表明,JRA-25再分析资料在揭示东亚夏季对流层温度在20世纪90年代初年代际变化方面优于其他再分析资料.研究表明,20世纪90年代初东亚夏季UTT年代际变化的可能原因在于,ENSO周期由1979~1992年的5~6年周期占主导转变为1993~2004年的2~3年周期占主导,使得在1993~2004年间ENSO衰减年夏季出现的次数少于1992年之前,而ENSO发展年夏季次数增加,导致ENSO发展年夏季的SST强迫对东亚UTT的影响年代际增加,ENSO衰减年夏季SST的强迫作用年代际减弱,即东亚夏季UTT一致增暖的模态出现次数增加,南暖北冷的模态次数减少,UTT的差值表现为东亚南侧变冷,北侧变暖,进而导致东亚夏季温度南北向温差减弱. 相似文献
11.
青海湖水位变化与湖区气候要素的相关分析 总被引：7，自引：2，他引：7
对湖区现有气象和水文资料作相关分析后得出，影响青海湖水位或水量的主要气象因子是前期降水量、当年蒸发量、水汽压饱和差及融冰期开始后的气温。影响湖周水系流量的气象因子则视发源地远近而异：源于近处的短程河溪的流量受制于当时降水量；源于冰山雪岭的较长河流的流量，由发源地及其流域的固态水储量和当时热状况而定。 相似文献
12.
Impact of climate change on streamflow in the arid Shiyang River Basin of northwest China 总被引：2，自引：0，他引：2
Climate change may significantly affect the hydrological cycle and water resource management, especially in arid and semi‐arid regions. In this paper, output from the Providing Regional Climates for Impacts Studies (PRECIS) regional climate model were used in conjunction with the Soil and Water Assessment Tool (SWAT) to analyse the effects of climate change on streamflow of the Xiying and Zamu rivers in the Shiyang River basin, an important arid region in northwest China. After SWAT model calibration and validation, streamflow in the Shiyang River Basin was simulated using the PRECIS climate model data for greenhouse gas emission scenarios A2 (high emission rate) and B2 (low emission rate) developed by Intergovernmental Panel on Climate Change. Monthly streamflow and hydrological extremes were compared for present‐day years (1961–1990), the 2020s (2011–2040), 2050s (2041–2070) and 2080s (2071–2100). The results show that mean monthly streamflow in Shiyang River Basin generally increased in the 2020s, 2050s and 2080s between 0.7–6.1% at the Zamu gauging station and 0.1–4.8% at the Xiying gauging station. The monthly minimum streamflow increased persistently, but the maximum monthly streamflows increased in the 2020s and slightly decreased in the 2050s and 2080s. This study provides valuable information for guiding future water resource management in the Shiyang River Basin and other arid and semi‐arid regions in China. Copyright © 2011 John Wiley & Sons, Ltd. 相似文献
13.
Trend,periodicity and abrupt change in streamflow of the East River,the Pearl River basin 总被引：2，自引：0，他引：2 
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下载免费PDF全文 The East River in the Pearl River basin, China, plays a vital role in the water supply for mega‐cities within and in the vicinity of the Pearl River Delta. Knowledge of statistical variability of streamflow is therefore important for water resources management in the basin. This study analyzed streamflow from four hydrological stations on the East River for a period of 1951–2009, using ensemble empirical mode decomposition (EEMD), continuous wavelet transform (CWT) technique, scanning t and F tests. Results indicated increasing/decreasing streamflow in the East River basin before/after the 1980s. After the early 1970s, the high/low flow components were decreasing/increasing. CWT‐based analysis demonstrates a significant impact of water reservoirs on the periodicity of streamflow. Scanning t and F test indicates that significantly abrupt changes in streamflow are largely influenced by both water reservoirs construction and precipitation changes. Thus, changes of streamflow, which are reflected by variations of trend, periodicity and abrupt change, are due to both water reservoir construction and precipitation changes. Further, the changes of volume of streamflow in the East River are in good agreement with precipitation changes. Copyright © 2012 John Wiley & Sons, Ltd. 相似文献
14.
A case study on the responses of streamflow to climate change in the Toutun River basin was carried out based on data analysis of streamflow, precipitation, and temperatures during the past 50 years.Temporal series of the streamflow change in the Toutun River basin was analyzed and tested using the Mann-Kendall nonparametric test. Results revealed that the annual runoff of the Toutun River had been in a monotonic decreasing trend for the past 50 years. Compared with the 1950s and 1960s, the annual runoff in the 1990s decreased by 4.0×105 m3 and 7.2×105 m3. The precipitation did not show monotonic trend during the past 50 years, but the annual temperature increased by 1.12℃ since the 1950s. Further data analysis indicated that the monthly runoff of the Toutun River decreased significantly from August to October, with precipitation displaying the similar pattern of seasonal change. Analysis suggests that the reduction of streamflow in the Toutun River basin is possibly caused by the seasonal change of precipitation, especially the precipitation reduction in summer, and temperature increases. 相似文献
15.
Evaluation of impacts of climate change and human activities on streamflow in the Poyang Lake basin,China 总被引：3，自引：0，他引：3 下载免费PDF全文
下载免费PDF全文 Variations in streamflows of five tributaries of the Poyang Lake basin, China, because of the influence of human activities and climate change were evaluated using the Australia Water Balance Model and multivariate regression. Results indicated that multiple regression models were appropriate with precipitation, potential evapotranspiration of the current month, and precipitation of the last month as explanatory variables. The NASH coefficient for the Australia Water Balance Model was larger than 0.842, indicating satisfactory simulation of streamflow of the Poyang Lake basin. Comparison indicated that the sensitivity method could not exclude the benchmark‐period human influence, and the human influence on streamflow changes was overestimated. Generally, contributions of human activities and climate change to streamflow changes were 73.2% and 26.8% respectively. However, human‐induced and climate‐induced influences on streamflow were different in different river basins. Specifically, climate change was found to be the major driving factor for the increase of streamflow within the Rao, Xin, and Gan River basins; however, human activity was the principal driving factor for the increase of streamflow of the Xiu River basin and also for the decrease of streamflow of the Fu River basin. Meanwhile, impacts of human activities and climate change on streamflow variations were distinctly different at different temporal scales. At the annual time scale, the increase of streamflow was largely because of climate change and human activities during the 1970s–1990s and the decrease of streamflow during the 2000s. At the seasonal scale, climate change was the main factor behind the increase of streamflow in the spring and summer season. Human activities increase the streamflow in autumn and winter, but decrease the streamflow in spring. At the monthly scale, different influences of climate change and human activities were detected. Climate change was the main factor behind the decrease of streamflow during May to June and human activities behind the decrease of streamflow during February to May. Results of this study can provide a theoretical basis for basin‐scale water resources management under the influence of climate change and human activities. Copyright © 2016 John Wiley & Sons, Ltd. 相似文献
16.
1990s长江流域降水趋势分析 总被引：2，自引：0，他引：2
依据国家气象局提供的实测月降水和日降水资料,运用Mann-Kendall(M-K)非参数检验法验证了降水趋势,并通过空间插补法,由点扩展到面,分析了1990s长江流域降水变化特征,发现1990s长江流域降水变化以降水在时间和空间分布上的集中度的增加为主要特点:时间上,年降水的增加趋势以冬季1月和夏季6月降水的集中增加为主;一日降水量大于等于50mm的暴雨日数和暴雨量在1990s也有了较明显的增加.空间上,年降水、夏季降水、冬季降水的增加都以中下游区的增加为主,尤其以鄱阳湖水系、洞庭湖水系的降水增加为主.1990s长江流域春季和秋季降水的减少以5月和9月两个汛期月份的降水减少为主,除金沙江水系和洞庭湖水系等少数地区外,流域大部分地区降水呈减少趋势.上述1990s出现的降水趋势明显与近年来全球变暖背景下长江流域各地区不同的温度及水循环变异有关. 相似文献
17.
Streamflow trends and climate linkages in the source region of the Yellow River,China 总被引：1，自引：0，他引：1
Much of the discussion on hydrological trends and variability in the source region of the Yellow River centres on the mean values of the mainstream flows. Changes in hydrological extremes in the mainstream as well as in the tributary flows are largely unexplored. Although decreasing water availability has been noted, the nature of those changes is less explored. This article investigates trends and variability in the hydrological regimes (both mean values and extreme events) and their links with the local climate in the source region of the Yellow River over the last 50 years (1959–2008). This large catchment is relatively undisturbed by anthropogenic influences such as abstraction and impoundments, enabling the characterization of widely natural, climate‐driven trends. A total of 27 hydrological variables were used as indicators for the analysis. Streamflow records from six major headwater catchments and climatic data from seven stations were studied. The trend results vary considerably from one river basin to another, and become more accentuated with longer time period. Overall, the source region of the Yellow River is characterized by an overall tendency towards decreasing water availability. Noteworthy are strong decreasing trends in the winter (dry season) monthly flows of January to March and September as well as in annual mean flow, annual 1‐, 3‐, 7‐, 30‐ and 90‐day maxima and minima flows for Maqu and Tangnag catchments over the period 1959–2008. The hydrological variables studied are closely related to precipitation in the wet season (June, July, August and September), indicating that the widespread decrease in wet season precipitation is expected to be associated with significant decrease in streamflow. To conclude, decreasing precipitation, particularly in the wet season, along with increasing temperature can be associated with pronounced decrease in water resources, posing a significant challenge to downstream water uses. Copyright © 2011 John Wiley & Sons, Ltd. 相似文献
18.
The Columbia River is a major source of and conduit for Pacific Northwest economic activity, and is one of the more heavily modified rivers in North America. Understanding human and climate‐induced changes in its hydrologic properties is, therefore, vital. Long streamflow records are essential to determining how runoff has changed over time, and Columbia River daily streamflow record at The Dalles began in 1878. To understand and separate anthropogenic and climate effects, however, it is also necessary to have a basin‐scale estimate of virgin or naturalized flow. The United States Geological Survey has calculated a monthly averaged adjusted river flow at The Dalles for 1879–1999 that accounts for the effects of flow regulation. The Bonneville Power Administration has estimated the monthly averaged virgin flow at The Dalles, i.e. the flow in the absence of both flow regulation and irrigation depletion for 1929–89. We have estimated the monthly virgin flow of the Columbia River at The Dalles from records of irrigated area for the missing early years, i.e. for the period 1879–1928. In addition, to allow hindcasting of a virgin flow sediment transport for the system, a daily virgin flow index with realistic higher moments and spectral properties has been calculated. Examination of the virgin flow record shows that climate change since the late 19th century has decreased annual average flow volume by > 7%; irrigation depletion has reduced the flow by another ∼7%. Copyright © 2005 John Wiley & Sons, Ltd. 相似文献
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Streamflow drought time series forecasting 总被引：5，自引：2，他引：5
Reza Modarres 《Stochastic Environmental Research and Risk Assessment (SERRA)》2007,21(3):223-233
Drought is considered to be an extreme climatic event causing significant damage both in the natural environment and in human
lives. Due to the important role of drought forecasting in water resources planning and management and the stochastic behavior
of drought, a multiplicative seasonal autoregressive integrated moving average (SARIMA) model is applied to the monthly streamflow
forecasting of the Zayandehrud River in western Isfahan province, Iran. After forecasting 12 leading month streamflow, four
drought thresholds including streamflow mean, monthly streamflow mean, 2-, 5-, 10- and 20-year return period monthly drought
and standardized streamflow index were chosen. Both observed and forecasted streamflow showed a drought period with different
severity in the lead-time. This study also demonstrates the usefulness of SARIMA models in forecasting, water resources planning
and management. 相似文献
20.
L. Ribeiro 《水文科学杂志》2013,58(10):1840-1852
AbstractToday, more than ever, there is a need to implement robust statistical methods to ensure the proper evaluation of water resources data to support decision makers in water resources planning and management. Graphing or mapping data for visualization is the easiest way to communicate trends, especially to a non-technical audience. This paper describes the use of an approach that combines the Mann-Kendall test, Sen slope test and principal component analysis to detect and map the monthly trends of piezometric time series and their magnitude in the period 1979–2008. The data were obtained in 23 shallow wells in the alluvial aquifers of the Elqui River basin in central Chile, an area characterized by scarce water resources and intense agricultural and mining activities. The results show significant downward trends at the majority of the wells. Because groundwater in these shallow wells is highly dependent on the water in the river and its tributaries, the reasons for these downward trends are mainly related to a decrease of streamflow observed in the Elqui River. The streamflow is derived from mountain snowmelt rather than from rainfall, which showed no flow trend during the same period. 相似文献