Journal of Hydrology-Regional Studies最新文献_第6页

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

Journal of Hydrology-Regional Studies

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

Journal of Hydrology-Regional Studies

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

Journal of Hydrology-Regional Studies

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

Journal of Hydrology-Regional Studies

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

Journal of Hydrology-Regional Studies

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

Journal of Hydrology-Regional Studies

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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引用次数: 0

Estimating operational costs for enhanced continuity in water supply and sanitation services: An inverse data envelopment analysis approach in Chilean utilities 估算加强供水和卫生服务连续性的运营成本：智利公用事业的逆数据包络分析方法

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2024-10-15 DOI: 10.1016/j.ejrh.2024.102008

Manuel Mocholi-Arce , Alexandros Maziotis , Ramón Sala-Garrido , María Molinos-Senante

Study region

The largest 23 water utilities in Chile providing water and sanitation services to 97.9 % of total urban customers.

Study focus

This study introduces an innovative methodological framework based on inverse data envelopment analysis technique to quantify the additional operational costs required for water utilities to enhance their water supply and sanitation continuity while maintaining their techno-economic efficiency. This framework is pivotal for setting realistic continuity targets and assessing potential impacts on water and sanitation tariffs, thereby aiding in policy and operational planning within the water sector.

New hydrological insights for the region

The analysis was performed across four distinct continuity scenarios revealing substantial cost variability contingent on continuity targets, current service levels, and the efficiency of each utility. Results showed a median operational cost increase that varied from 28.41 % in the most stringent scenario to just 0.27 % in the most lenient. The financial implications of meeting these costs through water and sanitation tariffs would necessitate a median monthly increase in water bills, ranging from $17.24 per household in the most demanding scenarios to only $0.01 per household in the more lenient scenarios. This research provides a valuable tool for water sector regulators and managers, enabling informed decision-making by balancing service improvement objectives with economic considerations and customer willingness to pay for enhanced service continuity.

研究区域智利最大的 23 家供水公司，为 97.9% 的城市用户提供供水和卫生服务。研究重点本研究引入了一种基于逆数据包络分析技术的创新方法框架，用于量化供水公司在保持技术经济效率的同时，为提高供水和卫生连续性所需的额外运营成本。该框架对于制定切实可行的连续性目标以及评估对供水和卫生收费的潜在影响至关重要，从而有助于水务部门的政策和运营规划。该地区新的水文见解该分析针对四种不同的连续性情景进行，揭示出成本的巨大差异取决于连续性目标、当前服务水平以及各公用事业的效率。结果显示，运营成本增加的中位数从最严格方案的 28.41% 到最宽松方案的 0.27% 不等。通过水和卫生设施收费来满足这些成本的财务影响将导致每月水费的中位数增加，从最严格方案中的每户 17.24 美元到较宽松方案中的每户仅 0.01 美元不等。这项研究为水利部门的监管者和管理者提供了一个宝贵的工具，通过平衡服务改进目标与经济考虑因素以及客户对增强服务连续性的支付意愿，使他们能够做出明智的决策。

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引用次数: 0

Evaluating the impact of coal seam roof groundwater using variable weights theory: A special emphasis on skylight-type water inrush pattern 利用可变权重理论评估煤层顶板地下水的影响：特别强调天窗型涌水模式

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2024-10-15 DOI: 10.1016/j.ejrh.2024.102009

Shihao Meng , Qiang Wu , Yifan Zeng , Aoshuang Mei , Guoqing Yang , Zhaolai Hua , Lei Yang , Yao Zhang

Study region

This study is based in the rapidly developing large-scale coal base located in Northwest China.

Study focus

This study focuses on addressing a critical yet overlooked aspect of large-scale coal resource development in arid regions: the impact on coal seam roof groundwater. Recognizing the paramount importance of safeguarding groundwater resources for sustainable mining practices, the research introduces a novel concept of “skylight-type secondary water inrush pattern” and develops a comprehensive evaluation methodology to quantify its extent.

New hydrological insights for the region

The study presents groundbreaking hydrological insights into the behavior of groundwater systems impacted by coal mining in arid regions. It reveals that secondary water inrush pattern, a phenomenon driven by hydrodynamics, extends beyond the immediate mechanical footprint of mining, posing significant challenges for groundwater resource management. This research underscores the importance of considering not just the structural alterations to aquifers but also the broader hydrological consequences of mining activities. By integrating multivariate geological information with a variable weights theory, the developed evaluation method provides a nuanced understanding of how mining alters groundwater abundance and flow patterns. These new insights challenge traditional approaches and offer a scientific basis for designing effective strategies to mitigate water damage, manage mine groundwater, and promote sustainable mining practices in arid environments.

研究区域本研究以中国西北地区快速发展的大型煤炭基地为基础。研究重点本研究侧重于解决干旱地区大规模煤炭资源开发中一个关键但被忽视的方面：对煤层顶板地下水的影响。由于认识到保护地下水资源对可持续采矿实践的极端重要性，该研究提出了 "天窗型二次涌水模式 "的新概念，并开发了一种综合评价方法来量化其程度。对该地区的新水文见解该研究对干旱地区受煤炭开采影响的地下水系统的行为提出了突破性的水文见解。它揭示了由流体力学驱动的二次涌水模式，这种现象超出了采矿的直接机械影响范围，给地下水资源管理带来了重大挑战。这项研究强调，不仅要考虑含水层的结构变化，还要考虑采矿活动带来的更广泛的水文后果。通过将多元地质信息与可变权重理论相结合，所开发的评估方法提供了对采矿如何改变地下水丰度和流动模式的细致理解。这些新见解对传统方法提出了挑战，并为设计有效战略以减轻水害、管理矿山地下水和促进干旱环境中的可持续采矿实践提供了科学依据。

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引用次数: 0

Groundwater dynamics clustering and prediction based on grey relational analysis and LSTM model: A case study in Beijing Plain, China 基于灰色关系分析和 LSTM 模型的地下水动态聚类与预测：中国北京平原案例研究

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2024-10-15 DOI: 10.1016/j.ejrh.2024.102011

Yan Zhou , Qiulan Zhang , Guoying Bai , Hongyan Zhao , Guanyin Shuai , Yali Cui , Jingli Shao

Study region

Beijing Plain, China

Study focus

The traditional zoning of groundwater systems relies on lithological characteristics and hydraulic connections. However, the influence of climate change and human activities has led to the emergence of diverse dynamic patterns within these systems. Additionally, the differences in groundwater dynamic characteristics are often ignored when modeling with machine learning methods. In this study, a new clustering method named GRA-CLU was proposed to classify dynamic types of groundwater. Then, regional models are built using LSTM based on the dynamic zoning, aiming to incorporate hydrogeological significance into the pure data-driven model.

New hydrological insights for the region: The GRA-CLU method classified the study area into six groundwater dynamic types. Compared with the traditional hydrogeological units, the new zoning result identified two dynamic types that have never been considered: urban influence zone and mountain-plain junction zone where surface water interacts with groundwater. Through analysis, the significant rise of groundwater levels in 2021 was more influenced by heavy rainfall events rather than human activities. This study further explored the performance of LSTM regional models based on the six dynamic zones. The results indicated that the NSE of models increased by 5.7–50.0 %, the improvement was more obvious in zones with irregular fluctuations. The RMSE decreased by 31.5–59.8 %, particularly noticeable in zones with regular annual fluctuations and large samples.

研究地区中国北京平原研究重点地下水系统的传统分区依赖于岩性特征和水力联系。然而，受气候变化和人类活动的影响，这些系统内部出现了多种多样的动态模式。此外，在使用机器学习方法建模时，地下水动态特征的差异往往被忽视。本研究提出了一种名为 GRA-CLU 的新聚类方法来划分地下水的动态类型。然后，使用基于动态分区的 LSTM 建立区域模型，旨在将水文地质意义纳入纯数据驱动模型：GRA-CLU 方法将研究区域划分为六个地下水动态类型。与传统的水文地质单元相比，新的分区结果发现了两个从未考虑过的动态类型：城市影响区和地表水与地下水相互作用的山原交界区。通过分析，2021 年地下水位的大幅上升更多是受暴雨事件而非人类活动的影响。本研究进一步探讨了基于六个动态区域的 LSTM 区域模型的性能。结果表明，模型的 NSE 增加了 5.7-50.0%，在不规则波动区的改善更为明显。均方根误差降低了 31.5-59.8%，在年波动规律和样本量大的区域尤为明显。

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引用次数: 0

Unrevealing the water-use strategies for typical ecological restoration plants and cash crops in the Eastern Chinese Loess Plateau region 揭示中国东部黄土高原地区典型生态恢复植物和经济作物的用水策略

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2024-10-14 DOI: 10.1016/j.ejrh.2024.102013

Congjian Sun , Caixin Gao , Wei Chen

Study region

Four geomorphic types in the eastern Loess Plateau (ECLP).

Study focus

quantitatively study the water-use strategies of typical plants (ecological restoration plants, food crops) based on stable isotope technology.

New hydrological insights for the region

Significant spatial-temporal heterogeneity appeared in regional soil water content and stable isotopes, with more significant fluctuations in soil water isotope values appearing in the rocky mountain region. Regional tree growth (including natural and plantation forests) was mainly influenced by precipitation (35±14 %) and surface layer (0–40 cm depth) soil water (25±11 %) during April and June, whereas deep soil water gradually became the main water source (> 20 %) in autumn and winter. A. Lavandulifolia mainly uses surface soil water (> 23 %), and the proportion of deep soil water utilization has increased after September. Surface soil water (0–40 cm) was the primary water source for T. aestivum during the overwintering (> 16 %) and reviving periods (> 26 %), and Z. mays utilized the largest proportion of soil water from 0 to 20 cm depth layer during the seeding (> 60 %) and maturation stages (> 35 %). Collectively, the results of this study have important implications for sustainable vegetation protection and the optimal allocation of water resources in the arid region.

研究区域黄土高原东部四个地貌类型。研究重点基于稳定同位素技术定量研究典型植物（生态恢复植物、粮食作物）的水分利用策略。区域水文新认识区域土壤含水量和稳定同位素出现了显著的时空异质性，岩石山区土壤水同位素值波动更为显著。区域树木生长（包括天然林和人工林）在 4-6 月间主要受降水（35±14%）和表层（0-40 cm 深）土壤水（25±11%）的影响，而在秋冬季土壤深层水逐渐成为主要水源（> 20%）。A. Lavandulifolia主要利用表层土壤水（> 23 %），9月后利用深层土壤水的比例有所增加。越冬期（> 16 %）和恢复期（> 26 %），表层土壤水（0-40 cm）是 T. aestivum 的主要水源；播种期（> 60 %）和成熟期（> 35 %），Z. mays 对 0 至 20 cm 深层土壤水的利用比例最大。总之，这项研究的结果对干旱地区的可持续植被保护和水资源优化配置具有重要意义。

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