HydroShare Resources最新文献

QUADICA - water quality, discharge and catchment attributes for large-sample studies in Germany QUADICA -水质，排放和集水区属性的大样本研究在德国

HydroShare Resources Pub Date : 2022-08-17 DOI: 10.4211/hs.26e8238f0be14fa1a49641cd8a455e29

Pia Ebeling, Rohini Kumar, S. Lutz, Tam V. Nguyen, F. Sarrazin, M. Weber, O. Büttner, S. Attinger, A. Musolff

{"title":"QUADICA - water quality, discharge and catchment attributes for large-sample studies in Germany","authors":"Pia Ebeling, Rohini Kumar, S. Lutz, Tam V. Nguyen, F. Sarrazin, M. Weber, O. Büttner, S. Attinger, A. Musolff","doi":"10.4211/hs.26e8238f0be14fa1a49641cd8a455e29","DOIUrl":"https://doi.org/10.4211/hs.26e8238f0be14fa1a49641cd8a455e29","url":null,"abstract":"Abstract. Environmental data are the key to defining and addressing\u0000water quality and quantity challenges at the catchment scale. Here, we present\u0000the first large-sample water quality data set for 1386 German catchments\u0000covering a large range of hydroclimatic, topographic, geologic, land use, and\u0000anthropogenic settings. QUADICA (water QUAlity, DIscharge and Catchment\u0000Attributes for large-sample studies in Germany) combines water quality with\u0000water quantity data, meteorological and nutrient forcing data, and catchment\u0000attributes. The data set comprises time series of riverine macronutrient\u0000concentrations (species of nitrogen, phosphorus, and organic carbon) and\u0000diffuse nitrogen forcing data (nitrogen surplus,\u0000atmospheric deposition, and fixation) at the catchment scale. Time series are generally aggregated\u0000to an annual basis; however, for 140 stations with long-term water quality\u0000and quantity data (more than 20 years), we additionally present monthly\u0000median discharge and nutrient concentrations, flow-normalized concentrations,\u0000and corresponding mean fluxes as outputs from Weighted Regressions on Time,\u0000Discharge, and Season (WRTDS). The catchment attributes include catchment\u0000nutrient inputs from point and diffuse sources and characteristics from\u0000topography, climate, land cover, lithology, and soils. This comprehensive,\u0000freely available data collection with a large spatial and temporal coverage\u0000can facilitate large-sample data-driven water quality assessments at the\u0000catchment scale as well as mechanistic modeling studies. QUADICA is\u0000available at https://doi.org/10.4211/hs.0ec5f43e43c349ff818a8d57699c0fe1 (Ebeling et al., 2022b) and https://doi.org/10.4211/hs.88254bd930d1466c85992a7dea6947a4 (Ebeling et al., 2022a).\u0000","PeriodicalId":388186,"journal":{"name":"HydroShare Resources","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114239126","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}

引用次数: 4

On-Road Tailpipe Characterization of Exhaust Ammonia Emissions from in-use Light-Duty Gasoline Motor Vehicles 在用轻型汽油机动车辆氨排放的道路排气管特性

HydroShare Resources Pub Date : 2022-05-01 DOI: 10.4211/hs.865bde53eff34163a790998622e1caca

M. Abualqumboz, Randal S. Martin, Joe Thomas

引用次数: 5

Supplement materials for publication: Modelling evaporation with local, regional and global BROOK90 frameworks: importance of parameterization and forcing. 出版补充材料:用地方、区域和全球BROOK90框架模拟蒸发:参数化和强迫的重要性。

HydroShare Resources Pub Date : 2021-12-17 DOI: 10.4211/hs.567d7bdc7b84465ca333b6e0c011853a

Ivan Vorobevskii, Thi Thanh Huyen Luong, R. Kronenberg, T. Grünwald, C. Bernhofer

{"title":"Supplement materials for publication: Modelling evaporation with local, regional and global BROOK90 frameworks: importance of parameterization and forcing.","authors":"Ivan Vorobevskii, Thi Thanh Huyen Luong, R. Kronenberg, T. Grünwald, C. Bernhofer","doi":"10.4211/hs.567d7bdc7b84465ca333b6e0c011853a","DOIUrl":"https://doi.org/10.4211/hs.567d7bdc7b84465ca333b6e0c011853a","url":null,"abstract":"Abstract. Observation and estimation of evaporation is a challenging task. Evaporation occurs on each surface and is driven by different energy sources. Thus the correct process approximation in modelling of the terrestrial water balance plays a crucial part. Here, we use a physically-based 1D lumped soil-plant-atmosphere model (BROOK90) to study the role of parameter selection and meteorological input for modelled evaporation on the point scale. Then, with the integration of the model into global, regional and local frameworks, we made cross-combinations out of their parameterization and forcing schemes to analyse the associated model uncertainty. Five sites with different land uses (grassland, cropland, deciduous broadleaf forest, two evergreen needleleaf forests) located in Saxony, Germany were selected for the study. All combinations of the model setups were validated using FLUXNET data and various goodness of fit criteria. The output from a calibrated model with in-situ meteorological measurements served as a benchmark. We focused on the analysis of the model performance with regard to different time-scales (daily, monthly, and annual). Additionally, components of evaporation are addressed, including their representation in BROOK90. Finally, all results are discussed in the context of different sources of uncertainty: model process representation, input meteorological data and evaporation measurements themselves.\u0000","PeriodicalId":388186,"journal":{"name":"HydroShare Resources","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134441650","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}

引用次数: 4

After the Storm: Fate and leaching of particulate nitrogen (PN) in the fluvial network and the influence of watershed sources and moisture conditions 风暴过后:河流网中颗粒氮(PN)的命运和淋滤以及流域来源和湿度条件的影响

HydroShare Resources Pub Date : 2021-11-11 DOI: 10.4211/hs.4478fc64e802496d86badefffe809ab4

C. Krieg, Erin L. Johnson, E. Peck, J. Kan, S. Inamdar

{"title":"After the Storm: Fate and leaching of particulate nitrogen (PN) in the fluvial network and the influence of watershed sources and moisture conditions","authors":"C. Krieg, Erin L. Johnson, E. Peck, J. Kan, S. Inamdar","doi":"10.4211/hs.4478fc64e802496d86badefffe809ab4","DOIUrl":"https://doi.org/10.4211/hs.4478fc64e802496d86badefffe809ab4","url":null,"abstract":"Large storms can erode, transport, and deposit substantial amounts of particulate nitrogen (PN) in the fluvial network. The fate of this input and its consequence for water quality is poorly understood. This study investigated the transformation and leaching of PN using a 56-day incubation experiment with five PN sources: forest floor humus, upland mineral A horizon, stream bank, storm deposits, and stream bed. Experiments were subjected to two moisture regimes: continuously moist and dry–wet cycles. Sediment and porewater samples were collected through the incubation and analyzed for N and C species, as well as the quantification of nitrifying and denitrifying genes (amoA, nirS, nirK). C- and N-rich watershed sources experienced decomposition, mineralization, and nitrification and released large amounts of dissolved N, but the amount of N released varied depending on the PN source and moisture regime. Drying and rewetting stimulated nitrification and suppressed denitrification in most PN sources. Storm deposits released large amounts of porewater N regardless of the moisture conditions, indicating that they could readily act as N sources under a variety of conditions. The inputs, processing, and leaching of large, storm-driven PN inputs become increasingly important as the frequency and intensity of large storms is predicted to increase with global climate change.","PeriodicalId":388186,"journal":{"name":"HydroShare Resources","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130314566","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}

引用次数: 0

High temporal resolution hydrometeorological data collected in the tropical Cordillera Blanca, Peru (2004–2020) 2004-2020年秘鲁热带白卡山脉高时间分辨率水文气象数据

HydroShare Resources Pub Date : 2021-08-17 DOI: 10.5194/essd-2021-215

Emilio I. Mateo, B. Mark, Robert Å. Hellström, M. Baraer, J. McKenzie, T. Condom, A. C. Rapre, Gilber Gonzales, Joe Quijano Gómez, Rolando Cesai Crúz Encarnación

{"title":"High temporal resolution hydrometeorological data collected in the tropical Cordillera Blanca, Peru (2004–2020)","authors":"Emilio I. Mateo, B. Mark, Robert Å. Hellström, M. Baraer, J. McKenzie, T. Condom, A. C. Rapre, Gilber Gonzales, Joe Quijano Gómez, Rolando Cesai Crúz Encarnación","doi":"10.5194/essd-2021-215","DOIUrl":"https://doi.org/10.5194/essd-2021-215","url":null,"abstract":"Abstract. This article provides a comprehensive hydrometeorological dataset collected over the past two decades throughout the Cordillera Blanca, Peru. The data recording sites, located in the upper portion of the Rio Santa valley, also known as the Callejon de Huaylas, span an elevation range of 3738–4750 m a.s.l. As many historical hydrological stations measuring daily discharge across the region became defunct after their installation in the 1950s, there was a need for new stations to be installed and an opportunity to increase the temporal resolution of the streamflow observations. Through inter-institutional collaboration the hydrometeorological network described in this paper was deployed with goals to evaluate how progressive glacier mass loss was impacting stream hydrology, and to better understand the local manifestation of climate change over diurnal to seasonal and interannual time scales. The four automatic weather stations supply detailed meteorological observations, and are situated in a variety of mountain landscapes, with one on a high-mountain pass, another next to a glacial lake, and two in glacially carved valleys. Four additional temperature and relative humidity loggers complement the weather stations within the Llanganuco valley by providing these data across an elevation gradient. The six streamflow gauges are located in tributaries to the Rio Santa and collect high temporal resolution runoff data. The datasets presented here are available freely from https://doi.org/10.4211/hs.059794371790407abd749576df8fd121 (Mateo et al., 2021). Combined, the hydrological and meteorological data collected throughout the Cordillera Blanca enable detailed research of atmospheric and hydrological processes in tropical high-mountain terrain.\u0000","PeriodicalId":388186,"journal":{"name":"HydroShare Resources","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116165450","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}

引用次数: 0

Jupyter Notebook for Pump Test Analysis in Confined Aquifers 承压含水层泵试验分析Jupyter笔记本

HydroShare Resources Pub Date : 1900-01-01 DOI: 10.4211/hs.de85625a8db04474bb066809ae93521e

引用次数: 0

CESEP Brine Leakage Control Experiment CESEP卤水泄漏控制实验

HydroShare Resources Pub Date : 1900-01-01 DOI: 10.4211/hs.ea5d0091789043e8a8091ae43d314554

引用次数: 0

Annual mean water quality metrics for catchments draining to German drinking water reservoirs 德国饮用水水库集水区的年平均水质指标

HydroShare Resources Pub Date : 1900-01-01 DOI: 10.4211/hs.43601618877945c5a46b715aa98db729

引用次数: 0

JavaScript code for retrieval of MODIS Collection 6 NDSI snow cover at SNOTEL sites and a Jupyter Notebook to merge/reprocess data 用于检索SNOTEL站点MODIS Collection 6 NDSI积雪的JavaScript代码和用于合并/再处理数据的Jupyter Notebook

HydroShare Resources Pub Date : 1900-01-01 DOI: 10.4211/hs.d287f010b2dd48edb0573415a56d47f8

引用次数: 1

Digital Hydroconnectivity of Reservoirs and Streamgages across the coterminous United States using RICON algorithm 使用RICON算法的美国沿岸水库和河流的数字水连通性

HydroShare Resources Pub Date : 1900-01-01 DOI: 10.4211/hs.d31bf19dbd5042b5960e374e9c9b2e94

引用次数: 0