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Accuracy evaluation and comparison of GSMaP series for retrieving precipitation on the eastern edge of the Qinghai-Tibet Plateau 用于青藏高原东部边缘降水量检索的全球降水测绘卫星系列的精度评估和比较
IF 4.7 2区 地球科学 Q1 WATER RESOURCES Pub Date : 2024-10-19 DOI: 10.1016/j.ejrh.2024.102017
Chun Zhou , Li Zhou , Juan Du , JiaJia Yue , Tianqi Ao

Study Region

Min River Basin on the eastern Qinghai-Tibet Plateau.

Study Focus

Precipitation is critical for hydrological processes, making accurate data essential for water management and flood forecasting. Satellite precipitation products offer valuable high-resolution spatiotemporal information, with the GSMaP series being widely used. However, comprehensive evaluations of different versions are limited. This study assesses the accuracy of Gauge and MVK products (versions 06, 07, and 08) across spatial and temporal scales and evaluates their performance in detecting precipitation events of varying intensities.

New Hydrological Insights for the Study Region

(1) GSMaP versions 06 and 07 exhibit higher detection rates for precipitation events, with POD values exceeding 0.8, while version 08 has a lower false alarm rate, with FAR values below 0.15. (2) GSMaP products are more successful in capturing precipitation events during the rainy season than the dry season. (3) With increasing elevation, the Gauge product consistently maintains a high hit rate and reduced false alarm rate, whereas the MVK product's hit rates improve. (4) For different rainfall intensities, GSMaP products more accurately detect moderate and heavy rain events, with the Gauge product outperforming the MVK product in terms of accuracy. These insights enhance the understanding of GSMaP product performance on eastern edge of the Qinghai-Tibet Plateau, aiding in improved water management practices.
研究区域青藏高原东部的岷江流域。研究重点降水对水文过程至关重要,因此准确的数据对水资源管理和洪水预报至关重要。卫星降水产品提供了宝贵的高分辨率时空信息,其中全球降水测绘卫星系列得到了广泛应用。然而,对不同版本的全面评估却很有限。本研究评估了 Gauge 和 MVK 产品(版本 06、07 和 08)在不同时空尺度上的准确性,并评价了它们在探测不同强度降水事件方面的性能。对研究区域的新水文见解(1)GSMaP 版本 06 和 07 对降水事件的探测率较高,POD 值超过 0.8,而版本 08 的误报率较低,FAR 值低于 0.15。(2) 全球降水测绘卫星产品在雨季比旱季更容易捕捉降水事件。(3) 随着海拔高度的增加,Gauge 产品始终保持较高的命中率和较低的误报率,而 MVK 产品的命中率则有所提高。(4) 对于不同的降雨强度,全球降水测绘卫星产品能更准确地探测到中雨和大雨事件,其中 Gauge 产品的准确性优于 MVK 产品。这些见解加深了人们对青藏高原东部边缘地区全球降水测绘卫星产品性能的理解,有助于改进水资源管理实践。
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引用次数: 0
Using reanalysis precipitation data for developing intensity-duration-frequency curves in a poorly gauged city 利用再分析降水量数据绘制一个测量条件较差城市的降水强度-持续时间-频率曲线
IF 4.7 2区 地球科学 Q1 WATER RESOURCES Pub Date : 2024-10-19 DOI: 10.1016/j.ejrh.2024.102005
Frank Joseph Wambura

Study region

The Msimbazi River catchment traversing Dar es Salaam city in east-central Tanzania.

Study focus

The lack of high-resolution rainfall data in cities in developing countries hinders the development of suitable intensity–duration–frequency (IDF) curves for designing and evaluating hydraulic structures. Thus, this study investigated the potential of relatively high-resolution reanalysis precipitation data for developing IDF curves in the poorly gauged Msimbazi River catchment in Dar es Salaam city. The time series of hourly ERA5-Land reanalysis precipitation data were used to generate the annual maximum series at four selected points in the river catchment. These were subsequently bias-corrected using parameters derived from limited observed rainfall data. The bias-corrected annual maximum series of reanalysis precipitation (AMSRP) data were fitted with the best probability distribution functions, which were then used to estimate quantiles of IDF curves for various annual exceedance probabilities.

New hydrological insights

The findings revealed that uncorrected AMSRP data would have underestimated rainfall intensities in this region by a factor of two to six. Different areas in the Msimbazi River catchment have different rainfall distributions and IDF curves. Thus, no single set of IDF curves can represent rainfall intensities in the entire river catchment. Due to the potential of relatively high-resolution reanalysis precipitation data, designs and evaluations of hydraulic structures in poorly gauged cities are encouraged to use bias-corrected and location-specific IDF curves.
研究区域横穿坦桑尼亚中东部达累斯萨拉姆市的 Msimbazi 河集水区。研究重点发展中国家的城市缺乏高分辨率的降雨量数据,这阻碍了设计和评估水力结构所需的合适的强度-持续时间-频率(IDF)曲线的开发。因此,本研究调查了相对高分辨率的再分析降水数据在达累斯萨拉姆市测量条件较差的姆辛巴齐河流域开发 IDF 曲线的潜力。每小时ERA5-Land再分析降水量数据的时间序列被用于生成该流域四个选定点的年最大降水量序列。随后,利用从有限的观测降雨数据中得出的参数对这些数据进行了偏差校正。经过偏差校正的再分析年最大降水量序列(AMSRP)数据采用最佳概率分布函数拟合,然后用于估算各种年超标概率的 IDF 曲线定量。姆辛巴齐河流域的不同地区有不同的降雨分布和 IDF 曲线。因此,没有一组 IDF 曲线可以代表整个流域的降雨强度。由于相对高分辨率的再分析降水数据的潜力,我们鼓励在测量条件较差的城市进行水力结构设计和评估时,使用经过偏差校正的、针对具体地点的 IDF 曲线。
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引用次数: 0
A parsimonious model for springs discharge reconstruction and forecast for drought management: Lessons from a case study in Central Italy 为干旱管理重建和预测泉水排放的简易模型:意大利中部案例研究的启示
IF 4.7 2区 地球科学 Q1 WATER RESOURCES Pub Date : 2024-10-18 DOI: 10.1016/j.ejrh.2024.102021
N. Guyennon , S. Passaretti , C. Mineo , E. Boscariol , A.B. Petrangeli , A. Varriale , E. Romano

Study region

Karst springs located in Central Apennine ridge (Central Italy), in the Tiber River basin.

Study focus

The assessment of water availability is a key issue in a water supply system because of increasing drought and water scarcity events. Analysing and predicting the dynamic behaviour of groundwater resources is challenging to conceptualize and model, especially in poorly-monitored systems. A parsimonious model based on linear regression between the monthly spring discharge time series and Standardized Precipitation Index is proposed. The model is conceived for management purposes and suitable for users with a limited background in modelling techniques, who can take advantage from an initial knowledge of the aquifers hydrological regime.

New hydrological insights for the region

The model developed for long-term monitored springs is used to reconstruct the historical groundwater hydrographs and to make predictions for poorly-monitored springs with similar properties, exploiting the “similarity principle”. Results highlight the notable performance of this approach, which represents a useful tool for overcoming the limitations in spring discharge monitoring networks. Moreover, the tool is used to test forecast performance enabling water managers to develop a monthly early-warning system fostering a sustainable water resource exploitation and limiting the critical issues of the water supply system, especially during drought periods. Results are discussed from the perspective of the water utilities entrusted to manage their resources in the study region.
研究地区卡斯特泉位于意大利中部亚平宁山脊,台伯河流域。 研究重点由于干旱和缺水事件日益增多,因此对供水系统中的水供应情况进行评估是一个关键问题。分析和预测地下水资源的动态行为对概念化和模型化而言具有挑战性,尤其是在监测不足的系统中。本文提出了一个基于月度春季排泄量时间序列与标准化降水指数之间线性回归的简易模型。针对长期监测泉水开发的模型被用于重建历史地下水水文图,并利用 "相似性原则 "对具有相似属性的监测不足的泉水进行预测。结果凸显了这种方法的显著性能,是克服泉水排放监测网络局限性的有用工具。此外,该工具还用于测试预测性能,使水资源管理者能够开发月度预警系统,促进水资源的可持续开发,限制供水系统的关键问题,尤其是在干旱时期。从受托管理研究地区水资源的水务公司的角度对结果进行了讨论。
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引用次数: 0
Changes of blue and green water in arid inland dissipation area based on coupled surface water and groundwater model 基于地表水和地下水耦合模型的干旱内陆消落区蓝水和绿水的变化
IF 4.7 2区 地球科学 Q1 WATER RESOURCES Pub Date : 2024-10-18 DOI: 10.1016/j.ejrh.2024.102010
Lu Wang , Feilong Jie , Bing He

Study region

The Mainstream in the Tarim River Basin, Southern Xinjiang, China

Study focus

Climate change and human activities have significantly altered the water cycle, and water security evaluation and management are urgent. In arid and semi-arid areas, the assessment of blue and green water is particularly important. In this study, the MIKE SHE model is used to simulate the spatial and temporal changes of blue and green water resources in the mainstream of the Tarim River Basin (TRB) from 1990 to 2050 under land use and climate change conditions. The scarcity and vulnerability of blue-green water are introduced to evaluate the water security of the basin. The impacts of different land uses on blue-green water resources were also calculated according to the model zoning.

New hydrological insights for the region

The results indicate that from 1990 to 2050, blue water resources show a spatial pattern of gradual decrease from upstream to downstream. Compared to blue water, green water is dispersed more evenly over space. Future climatic scenarios will impact water security, as will changes in blue and green water security in terms of time and space. By comparing the influence of ecological water transport on the change of blue and green water before and after 2000, it was found that environmental water transport plays a certain role in improving the blue water scarcity in downstream of the TRB. The study is significant in maintaining regional water security and ecosystem stability.
研究地区中国新疆南部塔里木河流域的主流研究重点气候变化和人类活动极大地改变了水循环,水安全评估和管理迫在眉睫。在干旱和半干旱地区,蓝水和绿水的评估尤为重要。本研究利用 MIKE SHE 模型模拟了在土地利用和气候变化条件下,塔里木河流域(TRB)主流地区从 1990 年到 2050 年蓝色和绿色水资源的时空变化。引入蓝绿水的稀缺性和脆弱性来评估流域的水安全。结果表明,从 1990 年到 2050 年,蓝水资源呈现出从上游到下游逐渐减少的空间格局。与蓝水相比,绿水的空间分布更为均匀。未来的气候情景将对水安全产生影响,而蓝水和绿水安全在时间和空间上的变化也将对水安全产生影响。通过比较 2000 年前后生态输水对蓝水和绿水变化的影响,发现环境输水对改善 TRB 下游蓝水稀缺状况有一定作用。该研究对维护区域水安全和生态系统稳定具有重要意义。
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引用次数: 0
Evaluation of gridded precipitation datasets in mountainous terrains of Northwestern Mexico 墨西哥西北部山区网格降水数据集评估
IF 4.7 2区 地球科学 Q1 WATER RESOURCES Pub Date : 2024-10-18 DOI: 10.1016/j.ejrh.2024.102019
Pasquinel de la Fraga , Francisco José Del-Toro-Guerrero , Enrique R. Vivoni , Tereza Cavazos , Thomas Kretzschmar

Study region

The complex mountainous terrains of the Sierra Madre Occidental in northwestern Mexico.

Study focus

Acquiring high-resolution precipitation data in regions with limited conventional rain gauge coverage poses significant challenges. Gridded precipitation (GP) datasets, including gauge-based, satellite, and reanalysis products, provide a potential solution, but their reliability in areas with complex terrain and intricate precipitation patterns remains uncertain. This study comprehensively evaluates the performance of four GP datasets—AORC, CHIRPS, Daymet, and ERA5—in estimating precipitation. The evaluation was conducted at a daily, monthly, and seasonal timescale, further analyzing extreme precipitation, the influence of elevation, and spatial averaging across hydrologic basins, using as reference the NERN rain gauge data from 2002 to 2004.

New hydrological insights for the region

Results indicate that Daymet and AORC are the most accurate GP datasets for daily and monthly timescales, respectively. All datasets improve in accuracy over longer timescales but face challenges during the wet summer monsoon months and extreme events, with Daymet performing relatively better. Terrain elevation had a minimal impact on overall dataset accuracy, though a slight improvement in precipitation detection was noted as elevation increased. This work provides valuable insights into the strengths and limitations of GP datasets in regions with complex terrain and orographically-forced convective precipitation, offering practical outcomes for climate and hydrologic studies in similar regions.
研究区域墨西哥西北部西马德雷山脉复杂的山区地形。研究重点在传统雨量计覆盖范围有限的地区获取高分辨率降水数据是一项重大挑战。网格降水(GP)数据集(包括基于雨量计、卫星和再分析产品)提供了一种潜在的解决方案,但在地形复杂、降水模式错综复杂的地区,这些数据集的可靠性仍不确定。本研究全面评估了四个 GP 数据集(AORC、CHIRPS、Daymet 和 ERA5)在估计降水量方面的性能。结果表明,Daymet 和 AORC 分别是日和月时间尺度上最准确的 GP 数据集。在较长的时间尺度上,所有数据集的准确性都有所提高,但在潮湿的夏季季风月份和极端事件期间,Daymet 的表现相对较好。地形海拔对数据集的整体准确性影响很小,但随着海拔的升高,降水检测的准确性略有提高。这项工作为了解 GP 数据集在复杂地形和地貌对流降水地区的优势和局限性提供了宝贵的见解,为类似地区的气候和水文研究提供了实用的成果。
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引用次数: 0
Hydrological processes in multi-layered aquifers of a karst watershed with coal mining activity: Insights from hydrochemistry and isotopes 有采煤活动的岩溶流域多层含水层的水文过程:水化学和同位素的启示
IF 4.7 2区 地球科学 Q1 WATER RESOURCES Pub Date : 2024-10-17 DOI: 10.1016/j.ejrh.2024.102016
Lanchu Tao , Yunhui Zhang , Xingcheng Yuan , Qingsong Chen , Jinhai Yu , Yiqi Ma , Honghao Liu , Chunlin Tu

Study region

The Laochang Karst watershed (LCKW) is located in eastern Yunnan Province, southwestern China. It is the representative karst area affected by coal-mining activities in southwestern China.

Study focus

Identifying hydrological processes of multi-layered aquifers in karst watersheds is challenging due to complex natural and anthropogenic processes. This study attempts to clarify the hydrological conceptual model of the LCKW using hydrochemistry and D, O, Sr, S, and C isotopes.

New hydrological insights for the region

Surface water and multi-layered groundwater have the hydrochemical types of SO4-Ca·Mg, HCO3·SO4-Ca, and HCO3-Ca. Meteoric water and condensate were the major recharge sources. The main processes dominating hydrochemical compositions consist of sulfide oxidative dissolution, carbonate dissolution, positive cation exchange, and agricultural activities. Elevated SO42− concentration in the mine water, river water and shallow coalbed water mainly originated from the oxidation of pyrite in the coal-bearing strata of the Longtan Formation. whereas the deeper layers and groundwater away from the mines were hardly contaminated by SO42− due to the presence of aquiclude. HCO3 concentrations of surface water and multi-layered groundwater were mainly derived from carbonate dissolution and soil CO2, and mine water was also influenced by atmospheric CO2. Positive cation exchange contributed to increasing Na+ concentration. Agricultural activities contributed NO3, Cl, and K+ ions in aquifers, especially near large karst fallout caves. A hydrological model of multi-layered aquifers in the LCKW was built based on the above results. These findings will provide valuable guidance for understanding the hydrological processes of complex karst watersheds worldwide.
研究区域老场喀斯特流域(LCKW)位于中国西南部云南省东部,是中国西南部受采煤活动影响的代表性喀斯特地区。研究重点由于复杂的自然和人为过程,确定岩溶流域多层含水层的水文过程具有挑战性。本研究试图利用水化学和 D、O、Sr、S 和 C 同位素来澄清泸沽湖水文概念模型。对该地区水文的新认识地表水和多层地下水的水化学类型为 SO4-Ca-Mg、HCO3-SO4-Ca 和 HCO3-Ca。陨水和凝结水是主要的补给来源。主导水化学组成的主要过程包括硫化物氧化溶解、碳酸盐溶解、阳离子正交换和农业活动。矿井水、河水和浅层煤床水的 SO42- 浓度升高主要源于龙潭地层含煤地层中黄铁矿的氧化作用,而远离矿井的深层和地下水由于含水层的存在,几乎不受 SO42- 的污染。地表水和多层地下水的 HCO3- 浓度主要来自碳酸盐溶解和土壤中的 CO2,矿井水也受到大气中 CO2 的影响。正阳离子交换导致 Na+ 浓度增加。农业活动导致含水层中的 NO3-、Cl- 和 K+ 离子增加,尤其是在大型岩溶溶洞附近。根据上述结果,建立了荔枝角湾多层含水层的水文模型。这些发现将为了解全球复杂岩溶流域的水文过程提供宝贵的指导。
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引用次数: 0
Spatio-temporal heterogeneity and driving mechanism of ecosystem water use efficiency in the Loess Plateau, China 中国黄土高原生态系统用水效率的时空异质性及其驱动机制
IF 4.7 2区 地球科学 Q1 WATER RESOURCES Pub Date : 2024-10-17 DOI: 10.1016/j.ejrh.2024.102012
Feiyu Wang , Jun Xia , Lei Zou , Liping Zhang , Xiaoyang Li , Jiarui Yu

Study region

The Loess Plateau, China

Study focus

The trade-off between carbon uptake and water loss, characterized by ecosystem water use efficiency (WUE), deeply influences ecosystem sustainability. In this study, WUE was estimated based on GPP from the Moderate Resolution Imaging Spectroradiometer (MODIS) product and ET simulated by the Priestley Taylor Jet Propulsion Laboratory (PT-JPL) model. The emerging hot spot analysis (EHSA) was used to comprehensively examine the spatio-temporal heterogeneity of WUE. Additionally, the Geodetector model was employed to identify the main drivers of WUE and quantify the interactive effects of drivers on WUE, focusing on different vegetation types.

New hydrological insights for the region

Results indicated obvious spatial heterogeneity of WUE under different vegetation and hydro-climatic conditions. Significant increases in WUE occurred in sub-humid cropland and grassland areas that have experienced large-scale ecological restoration and agricultural intensification. By contrast, slight decreases in WUE were observed in semi-arid grassland areas, some of which were accompanied by intensifying cold spots. It was noteworthy that WUE in some hot spots with excessive vegetation coverage also showed a slight downward trend. Further, the WUE pattern in cropland/forests/grassland was dominated by the interaction of vegetation coverage (characterized by the Normalized Difference Vegetation Index, NDVI) and precipitation/air temperature/vapor pressure deficit, with NDVI playing a leading role and hydro-climatic drivers playing a supporting role.
研究区域中国黄土高原研究重点以生态系统水分利用效率(WUE)为特征的碳吸收与水分损失之间的权衡深刻影响着生态系统的可持续性。本研究根据中分辨率成像分光仪(MODIS)产品的 GPP 和普利斯特里-泰勒喷气推进实验室(PT-JPL)模型模拟的蒸散发估算水分利用效率。新出现的热点分析(EHSA)用于全面研究 WUE 的时空异质性。结果表明,在不同植被和水文气候条件下,WUE 具有明显的空间异质性。在经历了大规模生态恢复和农业集约化的亚湿润耕地和草地地区,WUE 显著增加。相比之下,在半干旱的草地地区,WUE 则略有下降,其中一些地区还伴随着冷斑的加剧。值得注意的是,在一些植被覆盖率过高的热点地区,WUE 也呈轻微下降趋势。此外,耕地/森林/草地的 WUE 模式主要受植被覆盖率(以归一化差异植被指数表征)和降水/气温/蒸气压差的相互作用影响,其中归一化差异植被指数起主导作用,水文气候驱动因素起辅助作用。
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引用次数: 0
Remote sensing insights into water allocation and evaporation challenges in the Hirmand River Basin, after the operation of Kamal Khan Dam 通过遥感洞察赫曼德河流域在卡玛尔汗大坝运行后面临的水资源分配和蒸发挑战
IF 4.7 2区 地球科学 Q1 WATER RESOURCES Pub Date : 2024-10-17 DOI: 10.1016/j.ejrh.2024.101996
Saeid Maleki , Seyed Hossein Mohajeri , Amir Samadi , Hosna Hasani , Mehry Akbary

Study Region

The Hirmand River Basin is a vital transboundary river system, that originates in Afghanistan’s Hindu Kush Mountains and flows into the Sistan Depression, and encompassing the Chah Nimeh Reservoirs in Iran and the Godzareh Depression in Afghanistan.

Study Focus

The Kamal Khan Dam, constructed on the Hirmand River in Afghanistan, has significantly altered the downstream water direction and distribution between the Chah Nimeh Reservoirs and Godzareh Depression. Utilizing remote sensing techniques, particularly Landsat 8 satellite imagery and the FAO 56 PM as a evaporation retrieval method, the research focuses on evaluating changes in water allocation and evaporation rates in these regions over the past decade.

New Hydrological Insights for the Region

The findings reveal that after operation of the Kamal Khan Dam, water allocation to the Chah Nimeh Reservoirs has drastically decreased, leading to a 54 % reduction in their average area from 2020–2023 compared to the previous years. Conversely, the Godzareh Depression, now receiving the redirected water, has experienced significantly higher evaporation rates, contributing to substantial water losses. These changes underscore the critical need for effective water management strategies to address the escalating water scarcity and hydrological imbalances in this arid region.
研究区域赫曼德河流域是一个重要的跨境河流系统,发源于阿富汗兴都库什山脉,流入锡斯坦洼地,包括伊朗的查赫尼梅赫水库和阿富汗的戈扎雷洼地。研究重点在阿富汗赫曼德河上修建的卡迈勒汗大坝极大地改变了下游水流方向以及查赫尼梅赫水库和戈扎雷洼地之间的水量分配。研究利用遥感技术,特别是大地遥感卫星 8 号卫星图像和粮农组织 56 PM 蒸发检索方法,重点评估了过去十年这些地区水分配和蒸发率的变化。相反,戈扎雷洼地(Godzareh Depression)现在接受的是改道后的水量,其蒸发率却大幅提高,造成大量水量损失。这些变化突出表明,亟需制定有效的水资源管理战略,以解决这一干旱地区日益严重的缺水和水文失衡问题。
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引用次数: 0
What drives the distinct evolution of the Aral Sea and Lake Balkhash? Insights from a novel CD-RF-FA method 是什么推动了咸海和巴尔喀什湖的独特演变?新型 CD-RF-FA 方法的启示
IF 4.7 2区 地球科学 Q1 WATER RESOURCES Pub Date : 2024-10-16 DOI: 10.1016/j.ejrh.2024.102014
Shuang Liu , Aihua Long , Geping Luo , Hao Wang , Denghua Yan , Xiaoya Deng

Study Region

The Aral Sea and Lake Balkhash.

Study Focus

This study explores the impacts of climate change and human activities on the inflow of the Aral Sea and Lake Balkhash, revealing the different driving factors behind the evolution of inland lakes in arid environments. To achieve this, we propose a novel approach that combines classical seasonal decomposition with Random Forest and Factor Analysis (CD-RF-FA) to quantitatively assess the influences of climate change and human activities on lake inflow.

New Hydrological Insights for the Region

During the period from 1960 to 1990, anthropogenic factors predominantly influenced the inflow to the lakes, contributing 89.9 %, 91.8 %, and 91.6 % to the Lake Balkhash Basin (BAK), the Syr Darya Basin (SYR), and the Amu Darya Basin (AMU), respectively. However, from 1991 to 2020, the influence of human activities diminished, and climate variables gradually dominated the changes in inflow, contributing 52.2 % and 47.2 % to BAK and SYR, respectively, with upstream inflow being the main driving factor. Additionally, reservoir construction and political factors also played significant roles in the variation of inflow, exerting direct or indirect effects. This study provides crucial insights into the complex interplay of factors affecting inland lakes in arid regions and informs strategies to mitigate the Aral Sea Syndrome.
研究地区咸海和巴尔喀什湖。研究重点本研究探讨了气候变化和人类活动对咸海和巴尔喀什湖入湖量的影响,揭示了干旱环境中内陆湖演变背后的不同驱动因素。为此,我们提出了一种将经典季节分解与随机森林和因子分析(CD-RF-FA)相结合的新方法,以定量评估气候变化和人类活动对湖泊流入量的影响。对该地区水文的新认识1960 年至 1990 年期间,人为因素对湖泊流入量的影响占主导地位,分别占巴尔喀什湖流域(BAK)、锡尔河流域(SYR)和阿姆河流域(AMU)流入量的 89.9%、91.8% 和 91.6%。然而,从 1991 年到 2020 年,人类活动的影响逐渐减弱,气候变量逐渐主导了流入量的变化,对巴尔喀什湖流域和锡尔河流域的影响分别为 52.2% 和 47.2%,其中上游流入量是主要驱动因素。此外,水库建设和政治因素也在流入量变化中发挥了重要作用,产生了直接或间接的影响。这项研究为了解影响干旱地区内陆湖的各种因素之间复杂的相互作用提供了重要见解,并为缓解咸海综合症的战略提供了参考。
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引用次数: 0
Intercomparison of reanalysis and satellite precipitation products in endorheic and exorheic basins on the Tibetan Plateau 青藏高原内流河流域和外流河流域再分析与卫星降水产品的相互比较
IF 4.7 2区 地球科学 Q1 WATER RESOURCES Pub Date : 2024-10-16 DOI: 10.1016/j.ejrh.2024.102004
Rong Wang , Yuanbo Liu , Ruonan Wang , Yongwei Liu , Xinqu Wu
Study Region: Endorheic and exorheic basins of the Tibetan Plateau (TP). Study Focus: Reanalysis and satellite precipitation products provide alternatives for regions of sparse ground precipitation observation, but pose a tough task to select a suitable one for the TP. This study conducts a multi-scale evaluation of six reanalysis and satellite precipitation products in endorheic and exorheic basins using water balance and extended triple collocation (ETC) methods. The reanalysis precipitation products include ECMWF Re-Analysis version 5 (ERA5-Land), China Meteorological Forcing Dataset (CMFD), Global Land Data Assimilation Systems (GLDAS), and High-resolution Precipitation dataset for the Third Pole region (TPHiPr). The satellite precipitation data include Global Precipitation Measurements (GPM) and Tropical Rainfall Measuring Mission (TRMM) products. New Hydrological Insights for the Region: The precipitation products vary in accuracy from basin to basin, with better performance in exorheic than endorheic basins. Reanalysis-based ERA5-land, TPHiPr, and CMFD perform well in most basins at annual scale, among which TPHiPr performs best at daily scale. At regional scale, GPM performs well in endorheic region, and ERA5-land in exorheic region. While all the products increase significantly in accuracy from basin to regional scale in endorheic region, ERA5-land shows best performance at annual and multi-year scales in the entire region. Our findings provide valuable supports for precipitation product selection in the Tibetan endorheic and exorheic basins.
研究区域:青藏高原(TP)的内流盆地和外流盆地。研究重点:再分析和卫星降水产品为地面降水观测稀少的地区提供了替代产品,但为青藏高原选择合适的产品是一项艰巨的任务。本研究采用水平衡和扩展三重定位(ETC)方法,对内流河流域和外流河流域的六种再分析和卫星降水产品进行了多尺度评估。再分析降水产品包括 ECMWF 再分析版本 5(ERA5-Land)、中国气象强迫数据集(CMFD)、全球陆地数据同化系统(GLDAS)和第三极地区高分辨率降水数据集(TPHiPr)。卫星降水数据包括全球降水测量(GPM)和热带降雨测量任务(TRMM)产品。为该地区提供新的水文见解:不同流域的降水产品精度不同,外流河流域比内流河流域的降水产品精度更高。基于再分析的 ERA5-land、TPHiPr 和 CMFD 在大多数流域的年尺度上表现良好,其中 TPHiPr 在日尺度上表现最佳。在区域尺度上,GPM 在内流河区域表现良好,ERA5-land 在外流河区域表现良好。在内流河区域,从盆地到区域尺度,所有产品的精度都有明显提高,而在整个区域,ERA5-land 在年度和多年尺度上表现最佳。我们的研究结果为西藏内流河流域和外流河流域降水产品的选择提供了宝贵的支持。
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Journal of Hydrology-Regional Studies
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