Journal of Hydrology-Regional Studies最新文献_第10页

Analyzing water uptake of apple trees using isotopic techniques in the Shandong Peninsula, China

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2025-02-01 DOI: 10.1016/j.ejrh.2024.102153

Tianze Pang , Ying Zhao , María Poca , Jianjun Wang , Hongchen Li , Jinzhao Liu

Study region

The hilly area of Shandong Peninsula is a pivotal apple-producing region in China. However, the precise water sources utilized by the apple trees for transpiration remain poorly understood in this region.

Study focus

Here we quantify the water sources used by apple trees in this area using stable isotopic tracing methods. Through on-field studies in a representative apple orchard and subsequent isotopic assessments, the primary water sources tapped by the apple trees were identified in three plots with contrasting soil characteristics and through 5 days of sub daily sampling.

New hydrological insights for the region

Our results show that apple trees have a marked preference for soil water centered at the 60 cm depth, with more deep water use at plots without weathered layers. Notably, the isotopic compositions of the xylem water leaned more towards signatures of soil water, rather than immediate irrigation water or groundwater. Given the irrigation water used to be the dominant water source recharging into soil, the weak contribution of irrigation water to plant would be attributed to the high soil evaporation rates during the growth phase, which strongly alter the isotopic composition of irrigation water in shallow soil layers. These insights boosted our comprehension of water sourcing mechanisms in the sloped orchard ecosystems in the Shandong Peninsula and lay the groundwork for deeper exploration into the irrigation ratio to rainwater utilized by apple trees in comparable regions.

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引用次数: 0

Sources of hydrochemistry and chemical weathering rate at Urumqi Glacier No.1 catchment in central Asia

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2025-02-01 DOI: 10.1016/j.ejrh.2024.102107

Qin Yang , Xiangying Li , Donghui Shangguan , Tianding Han

Study area

Urumqi Glacier No.1 Catchment in central Asia.

Study focus

Chemical weathering at the basin scale is important process for understanding the feedback mechanism of the carbon cycle and climate change. This study mainly used the actual sampling data in 2013, 2014, and 2016, and the first collection from the literature in same catchment to analyze the seasonal and interannual characteristics of meltwater runoff, as well as cation denudation rate (CDR).

New hydrological insights for the study region

The dominant ions of meltwater runoff are Ca^2 +, HCO₃^-, and SO₄^2-, which are mainly derived from calcite dissolution, feldspar weathering and sulfide oxidation. Meltwater runoff at Urumqi Glacier No.1 has higher concentrations of Ca²⁺ and lower concentrations of HCO₃^- than that from glaciers in Asia. Compared to 2006 and 2007, cation concentrations increased in 2013 and 2014, while SO₄^2- concentration decreased. The daily ion concentration has seasonality and exhibits a negative relationship with discharge. Daily CDR is positively related to discharge and temperature. Annual CDR values range from 12.34 to 19.04 t/km²/yr in 2013, 2014, and 2016, which are 1–1.7 times higher than those in 2006 and 2007 and higher than some glaciers in Asia. These results indicate that chemical weathering rate in the Urumqi Glacier No.1 catchment has increased with climate warming, and it is stronger than that of some glaciers in the Tibetan Plateau and surroundings.

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引用次数: 0

Spatiotemporal variations of water levels and river-lake interaction in the Poyang Lake basin under the extreme drought

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2025-02-01 DOI: 10.1016/j.ejrh.2024.102165

Hexiang Chen , Guangqiu Jin , Hongwu Tang , Jinran Wu , You-Gan Wang , Zhongtian Zhang , Yanqing Deng , Siyi Zhang

Study region

Poyang Lake, China's largest freshwater lake

Study focus

The water level variations of Poyang Lake and the combined effects of the upstream rivers and the Yangtze River during extreme drought events are not yet fully understood. In this study, the temporal and spatial variations of Poyang Lake's water level and the river-lake interactions were investigated using mathematical statistics and regression models.

New hydrological insights for the region

Extreme drought occurrences in Poyang Lake have increased over fourfold compared to previous periods since the 21st century. The 2022 extreme drought represents the most intense, severe, and prolonged drought event in Poyang Lake since 1956. It is characterized by unprecedented low water levels during both the flood and dry seasons. The study further emphasizes the changes in river-lake interactions during the extreme drought, indicating a reduced blocking effect of the Yangtze River on Poyang Lake during the flood season and a diminished emptying effect during the retreating and dry seasons. Compared to multi-year averages, reduced upstream discharge, Yangtze River flow, and the Three Gorges Dam operations during this drought contributed 23.68 %, 38.10 %, and 38.22 % respectively to the water level decline. During the drought period, both natural precipitation-driven flow increase in upstream rivers and water released from the dam provided short-term relief, though insufficient to fully mitigate the drought conditions.

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引用次数: 0

Study on the nonlinear transition relationship between water resources consumption and economic development in Heilongjiang province based on system dynamics

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2025-02-01 DOI: 10.1016/j.ejrh.2025.102193

Meiyun Tao , Youzhu Zhao , Qiuxiang Jiang, Zilong Wang, Yunxing Wu

Study region

Heilongjiang Province, north-eastern region of China.

Study focus

Water resources are important resources for steady economic and social progress, and the coordination between water resources consumption and economic development is the prerequisite for ensuring sustainable regional development. This study aims to promote the coordination of water resources consumption and economic development in Heilongjiang Province. In this study, system dynamics was used as a technical tool to simulate the water consumption and economic benefits of Heilongjiang Province from 2000 to 2050. The nonlinear trend of water resources consumption and economic development in Heilongjiang Province was explored by using the Sequential T-Test analysis of regime shifts (STARS) and the threshold generalized additive models (TGAM) for the first time.

New hydrological insights for the region

The results indicated the following: (1) No nonlinear changes in agricultural water footprint (WF_A) were detected in Heilongjiang Province. Both the industrial water footprint (WF_I) and the domestic water footprint (WF_D) showed one nonlinear change in 2018. Two nonlinear changes in ecological water footprint (WF_E) in 2021 and 2033. (2) The WEF in Heilongjiang Province fluctuated, reaching a peak of 8.32 × 10⁷ hm² in 2007 and a low of 4.31 × 10⁷ hm² in 2019. The water ecological footprint (WEF) per 10⁴ yuan GDP decreased from 2.39 hm²/10⁴ yuan to 0.29 hm²/10⁴ yuan. (3) Thresholds in the total WF and WEF with GDP were detected in 2010 and 2017. (4) The decoupling of the WF and WEF from economic development in Heilongjiang Province was mostly in intermediate optimal state, but with higher water consumption. The findings provide valuable insights for accelerating the green transformation of Heilongjiang Province and fostering the economy's and water resources' outstanding development.

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引用次数: 0

Evaluating combinations of rainfall datasets and optimization techniques for improved hydrological predictions using the SWAT+ model

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2025-02-01 DOI: 10.1016/j.ejrh.2024.102134

Mahesh R. Tapas , Randall Etheridge , Thanh-Nhan-Duc Tran , Manh-Hung Le , Brian Hinckley , Van Tam Nguyen , Venkataraman Lakshmi

Study Region

This study focuses on the Cape Fear and Tar-Pamlico watersheds in North Carolina, which are characterized by diverse hydrological conditions, varied land use, soil types, and hydrological characteristics.

Study Focus

The primary goal of this study is to examine the combined effects of three satellite precipitation products (SPPs) — ERA-5, gridMET, and GPM IMERG — along with three autocalibration techniques — DDS, GLUE, and LHS — on SWAT+ river flow predictions. Flow accuracy was assessed using three evaluation metrics: NSE, KGE, and R².

New Hydrological Insights for the Region

Key findings revealed that five SWAT+ parameters (cn2, revap_co, flo_min, revap_min, and awc) were consistently sensitive across all SPPs and watersheds, with rainfall products exerting a greater influence on simulated river flow than optimization techniques. Among the SPPs, GPM IMERG performed the best, followed by ERA-5 and gridMET, while NSE was more responsive to changes in SPPs and calibration methods than KGE and R². For the Cape Fear and Tar-Pamlico watersheds, the study highlighted SWAT+ 's challenges in predicting base flow for groundwater-driven systems and demonstrated the potential of optimization techniques to improve flow simulations despite poor satellite-gauge rainfall correlation. The combination of the GPM IMERG dataset and the GLUE method proved most effective, offering valuable guidance for selecting optimal datasets and methods to enhance prediction accuracy in complex watersheds.

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引用次数: 0

Precipitation phase shift variations under a warming climate over the Qilian Mountain, China in the 21st century

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2025-02-01 DOI: 10.1016/j.ejrh.2024.102151

Mingyu Dou, Keqin Duan, Rong Chen, Liang Li

Study region

Qilian Mountains (QLM), China

Study focus

Precipitation phase shift over the mountain profoundly impacts glacier surface mass balance, seasonal river runoff, and surface albedo. However, it remains unclear how these shifts manifest in the Qilian Mountains under global warming. Here, we examined the variations of rainfall and snowfall from 1961 to 2020 based on the ERA5-Land data and then projected the length of potential snowfall days (LPSD) during 2021–2100 using the simulations from the Coupled Model Intercomparison Project Phase 6 over the QLM.

New hydrological insights for the region

The results showed that the annual mean temperature increased at a rate of 0.25 °C/10a, resulting in rainfall increasing and snowfall decreasing at 5.61 and −1.89 mm/10a, respectively. However, the temperature faced a faster increase in 0.28 [0.12–0.45] and 0.82 [0.45–1.20] °C/10a under the SSP2–4.5 and SSP5–8.5 from 2020 to 2100. The LPSD would shorten dramatically with 3.00 [4.54–1.44] and 8.84 [13.02–4.66] days/10a, leading to an approximate decline of 35 [12.44–56.60] and 74 [34.19–113.96] days in LPSD at the end of the 21st century relative to 2001–2020, respectively. Notably, the summer snowfall decreased dramatically at a rate of −1.95 mm/10a, while the rainfall increased at 8.33 mm/10a from 1961 to 2020 over 4000 m.a.s.l. The LPSD would be absent in summer by mid-century under the SSP5–8.5 scenario, implying that snowfall would totally shift to rainfall. This potential snowfall-rainfall shift would strongly threaten the sustainable usage of water resources in the oasis downstream of QLM.

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引用次数: 0

Permanent aquifer storage loss from long-term groundwater withdrawal: A case study of subsidence in Bandung (Indonesia)

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2025-02-01 DOI: 10.1016/j.ejrh.2024.102129

Michelle Rygus , Marco Bianchi , Alessandro Novellino , Ekbal Hussain , Ahmad Taufiq , Steven Reinaldo Rusli , Dwi Sarah , Claudia Meisina

Study Region

In this study, the focus is on the Bandung groundwater basin in Indonesia, where industrial groundwater exploitation has led to declining groundwater levels and consequent land subsidence.

Study Focus

A highly parameterized three-dimensional hydro-geomechanical model was developed for the Bandung groundwater basin. The region faces challenges due to scarce hydrogeological data, necessitating the use of satellite-based Interferometric Synthetic Aperture Radar (InSAR) techniques to supplement the parameterization of numerical groundwater models. By calibrating the model against InSAR-derived land displacement measurements, the study addressed the lack of detailed historical pumping data and estimated past groundwater extraction volumes. The model was also used to forecast future subsidence and evaluate aquifer storage changes until 2050 under various pumping scenarios. Our study is one of the first examples of using satellite data with geomechanical models to constrain groundwater extraction rates and emphasises the importance of remote sensing data in groundwater resource management, and the irreversible impact of unsustainable groundwater extraction, which has implications for long term water security.

New Hydrological Insights for the Region

The study found that continued industrial groundwater extraction has resulted in permanent aquifer storage loss, with significant implications for long-term water security. Our simulated subsidence rates peaked at 16.4 cm/yr over the 1950–2020 period, with a maximum cumulative subsidence of 6.9 m. Continued industrial groundwater extraction, primarily from the deeper, confined aquifer, has resulted in permanent aquifer storage loss totalling 7.2 km³. Our model projections indicate that subsidence will persist, with continued industrial extraction potentially leading to up to 5.6 m of additional subsidence and 11.1 km³ of aquifer storage loss by 2050. Reducing industrial groundwater use by 30 % could slightly reduce further subsidence (5.0 m) and aquifer storage loss (9.2 km³) by 2050.

{"title":"Permanent aquifer storage loss from long-term groundwater withdrawal: A case study of subsidence in Bandung (Indonesia)","authors":"Michelle Rygus , Marco Bianchi , Alessandro Novellino , Ekbal Hussain , Ahmad Taufiq , Steven Reinaldo Rusli , Dwi Sarah , Claudia Meisina","doi":"10.1016/j.ejrh.2024.102129","DOIUrl":"10.1016/j.ejrh.2024.102129","url":null,"abstract":"<div><h3>Study Region</h3><div>In this study, the focus is on the Bandung groundwater basin in Indonesia, where industrial groundwater exploitation has led to declining groundwater levels and consequent land subsidence.</div></div><div><h3>Study Focus</h3><div>A highly parameterized three-dimensional hydro-geomechanical model was developed for the Bandung groundwater basin. The region faces challenges due to scarce hydrogeological data, necessitating the use of satellite-based Interferometric Synthetic Aperture Radar (InSAR) techniques to supplement the parameterization of numerical groundwater models. By calibrating the model against InSAR-derived land displacement measurements, the study addressed the lack of detailed historical pumping data and estimated past groundwater extraction volumes. The model was also used to forecast future subsidence and evaluate aquifer storage changes until 2050 under various pumping scenarios. Our study is one of the first examples of using satellite data with geomechanical models to constrain groundwater extraction rates and emphasises the importance of remote sensing data in groundwater resource management, and the irreversible impact of unsustainable groundwater extraction, which has implications for long term water security.</div></div><div><h3>New Hydrological Insights for the Region</h3><div>The study found that continued industrial groundwater extraction has resulted in permanent aquifer storage loss, with significant implications for long-term water security. Our simulated subsidence rates peaked at 16.4 cm/yr over the 1950–2020 period, with a maximum cumulative subsidence of 6.9 m. Continued industrial groundwater extraction, primarily from the deeper, confined aquifer, has resulted in permanent aquifer storage loss totalling 7.2 km<sup>3</sup>. Our model projections indicate that subsidence will persist, with continued industrial extraction potentially leading to up to 5.6 m of additional subsidence and 11.1 km<sup>3</sup> of aquifer storage loss by 2050. Reducing industrial groundwater use by 30 % could slightly reduce further subsidence (5.0 m) and aquifer storage loss (9.2 km<sup>3</sup>) by 2050.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"57 ","pages":"Article 102129"},"PeriodicalIF":4.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143153432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A flexible multi-scale approach for downscaling GRACE-derived groundwater storage anomaly using LightGBM and random forest in the Tashk-Bakhtegan Basin, Iran

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2025-02-01 DOI: 10.1016/j.ejrh.2024.102086

Arezo Mohtaram, Hossein Shafizadeh-Moghadam , Hamed Ketabchi

Study region

Tasht-Bakhtegan Basin, Iran

Study focus

The main objectives of this study are to reconstruct and downscale GRACE data from a coarse resolution of 1-degree to a finer resolution of 1-km. This was accomplished using a robust and flexible multi-scale approach, leveraging machine learning algorithms, specifically random forest and LightGBM. The models were meticulously calibrated and thoroughly evaluated across various spatial scales. Additionally, the study examined the lag effects of influential covariates in the downscaling process, further enhancing model accuracy. New hydrological insights for the region.

The multi-scale calibration of the models provided new insights into the relationship between terrestrial water storage anomalies (TWSa) and various environmental and hydrological factors. It was found that precipitation and land surface temperature (LST) were the most influential covariates in the reconstruction and downscaling process. Specifically, precipitation with a two-month delay, LST with a three-month delay, and evapotranspiration with an eight-month delay exhibited the highest correlations with TWSa. These findings offer valuable insights into the temporal influence of key hydrological variables on TWSa within the region, shedding light on how delayed responses of precipitation, LST, and evapotranspiration affect groundwater storage. This enhances the understanding of the underlying dynamics governing hydrological variability in the study area.

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引用次数: 0

Hydrological changes in the Upper Yellow River under the impact of upstream cascade reservoirs over the past 70 years

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2025-02-01 DOI: 10.1016/j.ejrh.2024.102105

Jing Hu , Xiong Zhou , Yujun Yi , Chunhui Li , Xuan Wang , Qiang Liu , Jiansu Mao

Study region

The Upper Yellow River Basin (UYRB), China.

Study focus

In this study, a variety of mathematical statistical methods, the Indicators of Hydrologic Alteration—Range of Variability (IHA-RVA) method, and the newly proposed Flow Surplus-Deficit (QS-QD) method were integrated to analyze the impact of cascade dam development on hydrological changes over the past 70 years in the UYRB. Additionally, the Double Mass Curve (DMC) method was utilized to evaluate changes in annual sediment transport, quantifying the influences of precipitation and human activities.

New hydrological insights for the region

Long-term statistical analysis revealed significant declining trends in both the annual runoff and sediment load following dam construction. Abrupt changes in runoff and sediment were identified during the study period in 1969 and 1987. Dam operations have altered the relationship between water and sediment, resulting in intensified summer flow deficits and winter-spring flow surpluses, with significant increases in flow deficit during July. The operation of the Longyangxia Reservoir and Liujiaxia Reservoir cascade systems exhibits cumulative effects over time and space. The proposed QS-QD method quantitatively estimates monthly flow variations and effectively addresses the limitations of RVA variation based on frequency. Furthermore, sediment transport at hydrological stations indicated a sequential downstream decrease, with human activities contributing between 95.93 % and 116.51 % to these changes.

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引用次数: 0

An explainable Bayesian gated recurrent unit model for multi-step streamflow forecasting

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2025-02-01 DOI: 10.1016/j.ejrh.2024.102141

Lizhi Tao , Yueming Nan , Zhichao Cui , Lei Wang , Dong Yang

Study region: In the middle and lower reaches of the Yangtze River Basin of China

Study focus: We propose an explainable Bayesian gated recurrent unit (EB-GRU) model for reliable multi-step streamflow forecasting. The proposed model introduces Bayesian inference into a gated recurrent unit (GRU) to quantify the uncertainty of streamflow prediction, and uses SHapley Additive exPlanations (SHAP) method to analyze the importance of hydrometeorological indices on streamflow prediction. The EB-GRU is examined by forecasting the multi-step streamflow at Hukou and Qilishan stations in the middle and lower reaches of the Yangtze River Basin, and compared with the Transformer (TSF), multi-layer perceptron (MLP) and support vector machine (SVM).

New hydrological insights for the region: The comparative results show that the performance of the proposed EB-GRU surpasses that of the TSF, except for the streamflow forecast at the Hukou station with a 1-day lead time. The EB-GRU outperforms the MLP and SVM at each lead time, particularly at shorter lead times, highlighting its effectiveness in capturing short-term streamflow dynamics. The analysis of uncertainty quantization shows that noise in the input data is the primary source of overall uncertainty in model prediction, whereas a notable increase is observed in the uncertainty caused by the model in the flood season. Furthermore, the application of the SHAP method reveals the critical role of water level in streamflow prediction.

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引用次数: 0