Journal of Hydrology X最新文献

{"title":"Withdrawal notice to “Development of a simple Budyko-based framework for the simulation and attribution of ET variability in dry regions” [J. Hydrol. X 16 (2022) 100128]","authors":"Xuefeng Xu , Xuliang Li , Chansheng He , Wei Tian , Jie Tian","doi":"10.1016/j.hydroa.2022.100129","DOIUrl":"10.1016/j.hydroa.2022.100129","url":null,"abstract":"","PeriodicalId":36948,"journal":{"name":"Journal of Hydrology X","volume":"16 ","pages":"Article 100129"},"PeriodicalIF":4.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589915522000116/pdfft?md5=28e55d82bcd3806c907bde03fbb01ab8&pid=1-s2.0-S2589915522000116-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44113945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing nature-based solutions by combining social equity, hydro-environmental performance, and economic costs through a novel Gini coefficient","authors":"C.V. Castro","doi":"10.1016/j.hydroa.2022.100127","DOIUrl":"https://doi.org/10.1016/j.hydroa.2022.100127","url":null,"abstract":"<div><p>A robust multi-functional framework for widespread planning of nature-based solutions (NBS) must incorporate components of social equity and hydro-environmental performance in a cost-effective manner. NBS systems address stormwater mitigation by increasing on-site infiltration and evaporation through enhanced greenspace while also improving various components of societal well-being, such as physical health (e.g., heart disease, diabetes), mental health (e.g., post-traumatic stress disorder, depression), and social cohesion. However, current optimization tools for NBS systems rely on stormwater quantity abatement and, to a lesser extent, economic costs and environmental pollutant mitigation. Therefore, the objective of this study is to explore how NBS planning may be improved to maximize hydrological, environmental, and social co-benefits in an unequivocal and equitable manner. Here, a novel equity-based indexing framework is proposed to better understand how we might optimize social and physical functionalities of NBS systems as a function of transdisciplinary characteristics. Specifically, this study explores the spatial tradeoffs associated with NBS allocation by first optimizing a local watershed-scale model according to traditional metrics of stormwater efficacy (e.g., cost efficiency, hydrological runoff reduction, and pollutant load reduction) using SWMM modeling. The statistical dispersion of social health is then identified using the Area Deprivation Index (ADI), which is a high-resolution spatial account of socioeconomic disadvantages that have been linked to adverse health outcomes, according to United States census properties. As NBSs have been shown to mitigate various adverse health conditions through increased urban greening, this improved understanding of geospatial health characteristics may be leveraged to inform an explicit representation of social wellness within NBS planning frameworks. This study presents and demonstrates a novel framework for integrating hydro-environmental modeling, economic efficiency, and social health deprivation using a dimensionless Gini coefficient, which is intended to spur the positive connection of social and physical influences within robust NBS planning. Hydro-environmental risk (according to hydro-dynamic modeling) and social disparity (according to ADI distribution) are combined within a common measurement unit to capture variation across spatial domains and to optimize fair distribution across the study area. A comparison between traditional SWMM-based optimization and the proposed Gini-based framework reveals how the spatial allocation of NBSs within the watershed may be structured to address significantly more areas of social health deprivation while achieving similar hydro-environmental performance and cost-efficiency. The results of a case study for NBS planning in the White Oak Bayou watershed in Houston, Texas, USA revealed runoff volume reductions of 3.45% and 3.38%, pollutant l","PeriodicalId":36948,"journal":{"name":"Journal of Hydrology X","volume":"16 ","pages":"Article 100127"},"PeriodicalIF":4.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589915522000098/pdfft?md5=743ab8327d9264a81ad8cda457fe0791&pid=1-s2.0-S2589915522000098-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72099567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"WITHDRAWN: Development of a simple Budyko-based framework for the simulation and attribution of ET variability in dry regions","authors":"Xuefeng Xu ,&nbsp;Xuliang Li ,&nbsp;Chansheng He ,&nbsp;Wei Tian ,&nbsp;Jie Tian","doi":"10.1016/j.hydroa.2022.100128","DOIUrl":"https://doi.org/10.1016/j.hydroa.2022.100128","url":null,"abstract":"<div><p>The Publisher regrets that this article is an accidental duplication of an article that has already been published in Journal of Hydrology, Volume 610, July 2022, 127955, <span>https://doi.org/10.1016/j.jhydrol.2022.127955</span><svg><path></path></svg>. The duplicate article has therefore been withdrawn.</p><p>The full Elsevier Policy on Article Withdrawal can be found at <span>https://www.elsevier.com/about/our-business/policies/article-withdrawal</span><svg><path></path></svg>.</p></div>","PeriodicalId":36948,"journal":{"name":"Journal of Hydrology X","volume":"16 ","pages":"Article 100128"},"PeriodicalIF":4.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589915522000104/pdfft?md5=8def77f98cc59b3940151d74310107bb&pid=1-s2.0-S2589915522000104-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72099568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Changes in extreme daily precipitation over Africa: Insights from a non-asymptotic statistical approach","authors":"Francesco Marra,&nbsp;Vincenzo Levizzani,&nbsp;Elsa Cattani","doi":"10.1016/j.hydroa.2022.100130","DOIUrl":"10.1016/j.hydroa.2022.100130","url":null,"abstract":"<div><p>Extreme precipitation heavily affects society and economy in Africa because it triggers natural hazards and contributes large amounts of freshwater. Understanding past changes in extreme precipitation could help us improve our projections of extremes, thus reducing the vulnerability of the region to climate change. Here, we combine high-resolution satellite data (1981–2019) with a novel non-asymptotic statistical approach, which explicitly separates intensity and occurrence of the process. We investigate past changes in extreme daily precipitation amounts relevant to engineering and risk management. Significant (<span><math><mrow><mi>α</mi><mo>=</mo><mn>0.05</mn></mrow></math></span>) positive and negative trends in annual maximum daily precipitation are reported in ∼20 % of Africa both at the local scales (0.05°) and mesoscales (1°). Our statistical model is able to explain ∼90% of their variance, and performs well (72% explained variance) even when annual maxima are explicitly censored from the parameter estimation. This suggests possible applications in situations in which the observed extremes are not quantitatively trusted. We present results at the continental scale, as well as for six areas characterized by different climatic characteristics and forcing mechanisms underlying the ongoing changes. In general, we can attribute most of the observed trends to changes in the tail heaviness of the intensity distribution (25% of explained variance, 38% at the mesoscale), while changes in the average number of wet days only explain 4% (12%) of the variance. Low-probability extremes always exhibit faster trend rates than annual maxima (∼44% faster, in median, for the case of 100-year events), implying that changes in infrastructure design values are likely underestimated by approaches based on trend analyses of annual maxima: flexible change-permitting models are needed. No systematic difference between local and mesoscales is reported, with locally-varying impacts on the areal reduction factors used to transform return levels across scales.</p></div>","PeriodicalId":36948,"journal":{"name":"Journal of Hydrology X","volume":"16 ","pages":"Article 100130"},"PeriodicalIF":4.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589915522000128/pdfft?md5=caefd15fa09576882d34159975a4ef7a&pid=1-s2.0-S2589915522000128-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42787833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mapping the groundwater memory across Ireland: a step towards a groundwater drought susceptibility assessment","authors":"P. Schuler, J. Campanyà, H. Moe, D. Doherty, N. H. Hunter Williams, T. McCormack","doi":"10.1016/j.hydroa.2022.100131","DOIUrl":"https://doi.org/10.1016/j.hydroa.2022.100131","url":null,"abstract":"","PeriodicalId":36948,"journal":{"name":"Journal of Hydrology X","volume":" ","pages":""},"PeriodicalIF":4.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46821715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intercomparison of Sentinel-2 and modelled snow cover maps in a high-elevation Alpine catchment","authors":"Florentin Hofmeister ,&nbsp;Leonardo F. Arias-Rodriguez ,&nbsp;Valentina Premier ,&nbsp;Carlo Marin ,&nbsp;Claudia Notarnicola ,&nbsp;Markus Disse ,&nbsp;Gabriele Chiogna","doi":"10.1016/j.hydroa.2022.100123","DOIUrl":"10.1016/j.hydroa.2022.100123","url":null,"abstract":"<div><p>Modelling runoff generation in high-elevation Alpine catchments requires detailed knowledge on the spatio-temporal distribution of snow storage. With Sentinel-2 MultiSpectral Instrument (MSI), it is possible to map snow cover with a high temporal and spatial resolution. In contrast to the coarse MODIS data, Sentinel-2 MSI enables the investigation of small-scale differences in snow cover duration in complex terrains due to gravitational redistribution (slope), energy balance and wind-driven redistribution (aspect). In this study, we describe the generation of high-resolution spatial and temporal snow cover data sets from Sentinel-2 images for a high-elevation Alpine catchment and discuss how the data contribute to our understanding of the spatio-temporal snow cover distribution. The quality of snow and cloud detection is evaluated against in-situ snow observations and against other snow and cloud products. The main problem was in the false detection of snow in the presence of clouds and in topographically shaded areas. We then seek to explore the potential of the generated high-resolution snow cover maps in calibrating the gravitational snow redistribution module of a physically based snow model, especially for an area with a very data-scarce point snow observation network. Generally, the calibrated snow model is able to simulate both the mean snow cover duration with a high F1 accuracy score of &gt; 0.9 and the fractional snow-covered area with a correlation coefficient of 0.98. The snow model is also able to reproduce spatio-temporal variability in snow cover duration due to surface energy balance dynamics, wind and gravitational redistribution.</p></div>","PeriodicalId":36948,"journal":{"name":"Journal of Hydrology X","volume":"15 ","pages":"Article 100123"},"PeriodicalIF":4.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589915522000050/pdfft?md5=d2516a474bd52cebdf2ba53ad2737fcd&pid=1-s2.0-S2589915522000050-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47971301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of a simple Budyko-based framework for the simulation and attribution of ET variability in dry regions","authors":"Xuefeng Xu, Xuliang Li, Chansheng He, W. Tian, Jie Tian","doi":"10.1016/j.hydroa.2022.100128","DOIUrl":"https://doi.org/10.1016/j.hydroa.2022.100128","url":null,"abstract":"","PeriodicalId":36948,"journal":{"name":"Journal of Hydrology X","volume":" ","pages":""},"PeriodicalIF":4.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42645938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Complex wave propagation from open water bodies into aquifers: A fast analytical approach","authors":"Wout Hanckmann ,&nbsp;Thomas Sweijen ,&nbsp;Alraune Zech","doi":"10.1016/j.hydroa.2022.100125","DOIUrl":"10.1016/j.hydroa.2022.100125","url":null,"abstract":"<div><p>Aquifers are of particular interest in the vicinity of rivers, lakes and coastal areas due to their extensive usage. Hydraulic properties such as transmissivity and storativity can be deduced from periodical water level fluctuations in both open water bodies and groundwater. Here, we model the effect of complex wave propagation into adjacent isotropic and homogeneous aquifers. Besides confined aquifers, we also study wave propagation in leaky aquifers and situations with flow barriers near open water bodies as encountered in harbours where sheet piling are in place. We present a fast analytical solution for the hydraulic head distribution which allows for determining the hydraulic diffusivity (<span><math><mrow><msub><mrow><mi>S</mi></mrow><mrow><mi>s</mi></mrow></msub><mo>/</mo><mi>K</mi></mrow></math></span>) of the aquifer, with low investigational efforts. We make use of the Fast Fourier Transform to decompose complex wave boundary conditions and derive solutions through superposition. Analytical solutions are verified by comparing to numerical MODFLOW models for three application examples: a tidal wave measured in the harbour of Rotterdam, a synthetic square wave and river fluctuations in the river Rhine near Lobith. We setup a parameter estimation routine to identify hydraulic diffusivity, which can be easily adapted to real observation data from piezometers. Inverse estimates show relative differences of less than <span><math><mrow><mn>2</mn><mo>%</mo></mrow></math></span> to numerical input data. A sensitivity study further shows how to achieve reliable estimates depending on the piezometer location or other influencing factors such as resistance values of the confining layer (for leaky aquifers) and flow barriers.</p></div>","PeriodicalId":36948,"journal":{"name":"Journal of Hydrology X","volume":"15 ","pages":"Article 100125"},"PeriodicalIF":4.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589915522000074/pdfft?md5=6f6f9c69d2a590548d60b34b45a576bb&pid=1-s2.0-S2589915522000074-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48607898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing the role of groundwater recharge from tanks in crystalline bedrock aquifers in Karnataka, India, using hydrochemical tracers","authors":"Bentje Brauns ,&nbsp;Somsubhra Chattopadhyay ,&nbsp;Dan J. Lapworth ,&nbsp;Sian E. Loveless ,&nbsp;Alan M. MacDonald ,&nbsp;Andrew A. McKenzie ,&nbsp;Muddu Sekhar ,&nbsp;Siva Naga Venkat Nara ,&nbsp;Veena Srinivasan","doi":"10.1016/j.hydroa.2022.100121","DOIUrl":"10.1016/j.hydroa.2022.100121","url":null,"abstract":"<div><p>The majority of India’s rural drinking water supply is sourced from groundwater, which also plays a critical role in irrigated agriculture, supporting the livelihoods of millions of users. However, recent high abstractions are threatening the sustainable use of groundwater, and action is needed to ensure continued supply. Increased managed aquifer recharge (MAR) using the &gt; 200,000 existing tanks (artificially created surface water bodies) is one of the Indian government’s key initiatives to combat declining groundwater levels. However, few studies have directly examined the effectiveness of tank recharge, particularly in the complex fractured hydrogeology of Peninsular India. To address this gap, this study examined the impact of tanks in three crystalline bedrock catchments in Karnataka, southern India, by analysing the isotopic and hydrochemical composition of surface waters and groundwaters, combined with groundwater level observations. The results indicate that tanks have limited impact on regional groundwater recharge and quality in rural areas, where recharge from precipitation and groundwater recycling from irrigation dominate the recharge signal. In the urban setting (Bengaluru), impermeable surfaces increased the relative effect of recharge from point sources such as tanks and rivers, but where present, pipe leakage from public-water-supply accounted for the majority of recharge. Shallow groundwater levels in the inner parts of the city may lead to groundwater discharge to tanks, particularly in the dry season. We conclude that the importance of aquifer recharge from tanks is limited compared to other recharge sources and highly dependent on the specific setting. Additional studies to quantify tank recharge and revisions to the current guidelines for national groundwater recharge estimations, using a less generalised approach, are recommended to avoid over-estimating the role tanks play in groundwater recharge.</p></div>","PeriodicalId":36948,"journal":{"name":"Journal of Hydrology X","volume":"15 ","pages":"Article 100121"},"PeriodicalIF":4.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589915522000037/pdfft?md5=4b829791c0de1c456dcc560daa3a344c&pid=1-s2.0-S2589915522000037-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48853355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimal planning of natural stormwater solutions using a composite Gini coefficient: A watershed assessment of hydrological, environmental, social, and economic efficiency","authors":"Cyndi Vail Castro","doi":"10.1016/j.hydroa.2022.100127","DOIUrl":"https://doi.org/10.1016/j.hydroa.2022.100127","url":null,"abstract":"","PeriodicalId":36948,"journal":{"name":"Journal of Hydrology X","volume":" ","pages":""},"PeriodicalIF":4.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48994688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}