Articles | Volume 14, issue 6
https://doi.org/10.5194/essd-14-2883-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-2883-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
24 Jun 2022
Data description paper |
| 24 Jun 2022
| 24 Jun 2022
Escherichia coli concentration, multiscale monitoring over the decade 2011–2021 in the Mekong River basin, Lao PDR
Laurie Boithias
CORRESPONDING AUTHOR
Géosciences Environnement Toulouse (GET), Université de
Toulouse, CNRS, IRD, UPS, Toulouse, France
Olivier Ribolzi
CORRESPONDING AUTHOR
Géosciences Environnement Toulouse (GET), Université de
Toulouse, CNRS, IRD, UPS, Toulouse, France
Emma Rochelle-Newall
Sorbonne Université, Univ. Paris Est Creteil, IRD, CNRS, INRAE,
Institute of Ecology and Environmental Sciences of Paris (iEES-Paris),
Paris, France
Chanthanousone Thammahacksa
IRD, Department of Agricultural Land Management (DALaM), Vientiane,
Lao PDR
Paty Nakhle
Géosciences Environnement Toulouse (GET), Université de
Toulouse, CNRS, IRD, UPS, Toulouse, France
Bounsamay Soulileuth
IRD, Department of Agricultural Land Management (DALaM), Vientiane,
Lao PDR
Anne Pando-Bahuon
IRD, Department of Agricultural Land Management (DALaM), Vientiane,
Lao PDR
Keooudone Latsachack
IRD, Department of Agricultural Land Management (DALaM), Vientiane,
Lao PDR
Norbert Silvera
IRD, Department of Agricultural Land Management (DALaM), Vientiane,
Lao PDR
Phabvilay Sounyafong
IRD, Department of Agricultural Land Management (DALaM), Vientiane,
Lao PDR
Khampaseuth Xayyathip
IRD, Department of Agricultural Land Management (DALaM), Vientiane,
Lao PDR
Rosalie Zimmermann
Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit, Microbiology
Laboratory, Mahosot Hospital, Vientiane, Lao PDR
Department of Environmental Sciences, University of Basel, Basel,
Switzerland
Department of Medical Microbiology and Infection Prevention, Amsterdam
University Medical Centers (UMC), Amsterdam, the Netherlands
Sayaphet Rattanavong
Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit, Microbiology
Laboratory, Mahosot Hospital, Vientiane, Lao PDR
Priscia Oliva
Géosciences Environnement Toulouse (GET), Université de
Toulouse, CNRS, IRD, UPS, Toulouse, France
Thomas Pommier
Laboratoire d'Ecologie Microbienne (LEM), CNRS, UCBL, VetAgroSup,
Université de Lyon, Villeurbanne, France
Olivier Evrard
Laboratoire des Sciences du Climat et de l'Environnement (LSCE/IPSL),
CEA, CNRS, UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France
Sylvain Huon
Sorbonne Université, Univ. Paris Est Creteil, IRD, CNRS, INRAE,
Institute of Ecology and Environmental Sciences of Paris (iEES-Paris),
Paris, France
Jean Causse
Société Transcender, Rennes, France/Ecole des Hautes Etudes
en Santé Publique (EHESP), Laboratoire d'Etude et de Recherche en
Environnement et Santé, IRSET-INSERM, Rennes, France
Thierry Henry-des-Tureaux
IRD, Department of Agricultural Land Management (DALaM), Vientiane,
Lao PDR
Oloth Sengtaheuanghoung
Ministry of Agriculture and Forestry (MAF), Department of
Agricultural Land Management (DALaM), Vientiane, Lao PDR
Nivong Sipaseuth
Ministry of Agriculture and Forestry (MAF), Department of
Agricultural Land Management (DALaM), Vientiane, Lao PDR
Alain Pierret
IRD, Department of Agricultural Land Management (DALaM), Vientiane,
Lao PDR
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The CAMELS-DE dataset features data from 1582 streamflow gauges across Germany, with records spanning from 1951 to 2020. This comprehensive dataset, which includes time series of up to 70 years (median 46 years), enables advanced research on water flow and environmental trends and supports the development of hydrological models.
Einara Zahn and Elie Bou-Zeid
Earth Syst. Sci. Data, 16, 5603–5624, https://doi.org/10.5194/essd-16-5603-2024, https://doi.org/10.5194/essd-16-5603-2024, 2024
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Quantifying water and CO2 exchanges through transpiration, evaporation, net photosynthesis, and soil respiration is essential for understanding how ecosystems function. We implemented five methods to estimate these fluxes over a 5-year period across 47 sites. This is the first dataset representing such large spatial and temporal coverage of soil and plant exchanges, and it has many potential applications, such as examining the response of ecosystems to weather extremes and climate change.
Sanchit Minocha and Faisal Hossain
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-470, https://doi.org/10.5194/essd-2024-470, 2024
Revised manuscript accepted for ESSD
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Trustworthy and independently verifiable information on declining storage capacity or sedimentation rates around the world is sparse and suffers from inconsistent metadata and curation to allow global-scale archiving and analyses. Global Reservoir Inventory of Lost Storage by Sedimentation (GRILSS) dataset addresses this challenge by providing organized, well-curated and open-source data on sedimentation rates and capacity loss for 1,015 reservoirs in 75 major river basins across 54 countries.
Olivier Delaigue, Guilherme Mendoza Guimarães, Pierre Brigode, Benoît Génot, Charles Perrin, Jean-Michel Soubeyroux, Bruno Janet, Nans Addor, and Vazken Andréassian
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-415, https://doi.org/10.5194/essd-2024-415, 2024
Revised manuscript accepted for ESSD
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This dataset covers 654 rivers all flowing in France. The provided time series and catchment attributes will be of interest to those modelers wishing to analyse hydrological behavior, perform model assessments.
Ling Zhang, Yanhua Xie, Xiufang Zhu, Qimin Ma, and Luca Brocca
Earth Syst. Sci. Data, 16, 5207–5226, https://doi.org/10.5194/essd-16-5207-2024, https://doi.org/10.5194/essd-16-5207-2024, 2024
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This study presented new annual maps of irrigated cropland in China from 2000 to 2020 (CIrrMap250). These maps were developed by integrating remote sensing data, irrigation statistics and surveys, and an irrigation suitability map. CIrrMap250 achieved high accuracy and outperformed currently available products. The new irrigation maps revealed a clear expansion of China’s irrigation area, with the majority (61%) occurring in the water-unsustainable regions facing severe to extreme water stress.
Dominik Paprotny, Paweł Terefenko, and Jakub Śledziowski
Earth Syst. Sci. Data, 16, 5145–5170, https://doi.org/10.5194/essd-16-5145-2024, https://doi.org/10.5194/essd-16-5145-2024, 2024
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Knowledge about past natural disasters can help adaptation to their future occurrences. Here, we present a dataset of 2521 riverine, pluvial, coastal, and compound floods that have occurred in 42 European countries between 1870 and 2020. The dataset contains available information on the inundated area, fatalities, persons affected, or economic loss and was obtained by extensive data collection from more than 800 sources ranging from news reports through government databases to scientific papers.
Paulina Bartkowiak, Bartolomeo Ventura, Alexander Jacob, and Mariapina Castelli
Earth Syst. Sci. Data, 16, 4709–4734, https://doi.org/10.5194/essd-16-4709-2024, https://doi.org/10.5194/essd-16-4709-2024, 2024
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This paper presents the Two-Source Energy Balance evapotranspiration (ET) product driven by Copernicus Sentinel-2 and Sentinel-3 imagery together with ERA5 climate reanalysis data. Daily ET maps are available at 100 m spatial resolution for the period 2017–2021 across four Mediterranean basins: Ebro (Spain), Hérault (France), Medjerda (Tunisia), and Po (Italy). The product is highly beneficial for supporting vegetation monitoring and sustainable water management at the river basin scale.
Fanny J. Sarrazin, Sabine Attinger, and Rohini Kumar
Earth Syst. Sci. Data, 16, 4673–4708, https://doi.org/10.5194/essd-16-4673-2024, https://doi.org/10.5194/essd-16-4673-2024, 2024
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Nitrogen (N) and phosphorus (P) contamination of water bodies is a long-term issue due to the long history of N and P inputs to the environment and their persistence. Here, we introduce a long-term and high-resolution dataset of N and P inputs from wastewater (point sources) for Germany, combining data from different sources and conceptual understanding. We also account for uncertainties in modelling choices, thus facilitating robust long-term and large-scale water quality studies.
Haiguang Cheng, Kaiheng Hu, Shuang Liu, Xiaopeng Zhang, Hao Li, Qiyuan Zhang, Lan Ning, Manish Raj Gouli, Pu Li, Anna Yang, and Peng Zhao
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-382, https://doi.org/10.5194/essd-2024-382, 2024
Revised manuscript accepted for ESSD
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After reviewing 2,519 literature and media reports, we compiled the first comprehensive global dataset of 555 debris flow barrier dams (DFBDs) from 1800 to 2023. Our dataset meticulously documents 36 attributes of DFBDs, and we have utilized Google Earth for validation. Additionally, we discussed the applicability of landslide dam stability and peak discharge models to DFBDs. This dataset offers a rich foundation of data for future studies on DFBDs.
Jan Magnusson, Yves Bühler, Louis Quéno, Bertrand Cluzet, Giulia Mazzotti, Clare Webster, Rebecca Mott, and Tobias Jonas
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-374, https://doi.org/10.5194/essd-2024-374, 2024
Revised manuscript accepted for ESSD
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In this study, we present a dataset for the Dischma catchment in eastern Switzerland, which represents a typical high-alpine watershed in the European Alps. Accurate monitoring and reliable forecasting of snow and water resources in such basins are crucial for a wide range of applications. Our dataset is valuable for improving physics-based snow, land-surface, and hydrological models, with potential applications in similar high-alpine catchments.
Rohit Mukherjee, Frederick Policelli, Ruixue Wang, Elise Arellano-Thompson, Beth Tellman, Prashanti Sharma, Zhijie Zhang, and Jonathan Giezendanner
Earth Syst. Sci. Data, 16, 4311–4323, https://doi.org/10.5194/essd-16-4311-2024, https://doi.org/10.5194/essd-16-4311-2024, 2024
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Global water resource monitoring is crucial due to climate change and population growth. This study presents a hand-labeled dataset of 100 PlanetScope images for surface water detection, spanning diverse biomes. We use this dataset to evaluate two state-of-the-art mapping methods. Results highlight performance variations across biomes, emphasizing the need for diverse, independent validation datasets to enhance the accuracy and reliability of satellite-based surface water monitoring techniques.
Giulia Evangelista, Paola Mazzoglio, Daniele Ganora, Francesca Pianigiani, and Pierluigi Claps
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-387, https://doi.org/10.5194/essd-2024-387, 2024
Revised manuscript accepted for ESSD
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This paper presents the first comprehensive dataset of 528 Large Dams in Italy. It contains structural characteristics of the dams, such as coordinates, reservoir surface area and volume, together with a range of geomorphological, climatological, extreme rainfall, land cover and soil-related attributes of their upstream catchments.
Lei Huang, Yong Luo, Jing M. Chen, Qiuhong Tang, Tammo Steenhuis, Wei Cheng, and Wen Shi
Earth Syst. Sci. Data, 16, 3993–4019, https://doi.org/10.5194/essd-16-3993-2024, https://doi.org/10.5194/essd-16-3993-2024, 2024
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Timely global terrestrial evapotranspiration (ET) data are crucial for water resource management and drought forecasting. This study introduces the VISEA algorithm, which integrates satellite data and shortwave radiation to provide daily 0.05° gridded near-real-time ET estimates. By employing a vegetation index–temperature method, this algorithm can estimate ET without requiring additional data. Evaluation results demonstrate VISEA's comparable accuracy with accelerated data availability.
Sibylle Kathrin Hassler, Rafael Bohn Reckziegel, Ben du Toit, Svenja Hoffmeister, Florian Kestel, Anton Kunneke, Rebekka Maier, and Jonathan Paul Sheppard
Earth Syst. Sci. Data, 16, 3935–3948, https://doi.org/10.5194/essd-16-3935-2024, https://doi.org/10.5194/essd-16-3935-2024, 2024
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Agroforestry systems (AFSs) combine trees and crops within the same land unit, providing a sustainable land use option which protects natural resources and biodiversity. Introducing trees into agricultural systems can positively affect water resources, soil characteristics, biomass and microclimate. We studied an AFS in South Africa in a multidisciplinary approach to assess the different influences and present the resulting dataset consisting of water, soil, tree and meteorological variables.
Kaihao Zheng, Peirong Lin, and Ziyun Yin
Earth Syst. Sci. Data, 16, 3873–3891, https://doi.org/10.5194/essd-16-3873-2024, https://doi.org/10.5194/essd-16-3873-2024, 2024
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We develop a globally applicable thresholding scheme for DEM-based floodplain delineation to improve the representation of spatial heterogeneity. It involves a stepwise approach to estimate the basin-level floodplain hydraulic geometry parameters that best respect the scaling law while approximating the global hydrodynamic flood maps. A ~90 m resolution global floodplain map, the Spatial Heterogeneity Improved Floodplain by Terrain analysis (SHIFT), is delineated with demonstrated superiority.
Yuzhong Yang, Qingbai Wu, Xiaoyan Guo, Lu Zhou, Helin Yao, Dandan Zhang, Zhongqiong Zhang, Ji Chen, and Guojun Liu
Earth Syst. Sci. Data, 16, 3755–3770, https://doi.org/10.5194/essd-16-3755-2024, https://doi.org/10.5194/essd-16-3755-2024, 2024
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We present the temporal data of stable isotopes in different waterbodies in the Beiluhe Basin in the hinterland of the Qinghai–Tibet Plateau (QTP) produced between 2017 and 2022. In this article, the first detailed stable isotope data of 359 ground ice samples are presented. This first data set provides a new basis for understanding the hydrological effects of permafrost degradation on the QTP.
Pragnaditya Malakar, Aatish Anshuman, Mukesh Kumar, Georgios Boumis, T. Prabhakar Clement, Arik Tashie, Hitesh Thakur, Nagaraj Bhat, and Lokendra Rathore
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-324, https://doi.org/10.5194/essd-2024-324, 2024
Revised manuscript accepted for ESSD
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Groundwater dynamics depend on groundwater recharge, but daily benchmark data of recharge is scarce. Here we present a daily groundwater recharge per unit specified yield (RpSy) data at 485 US groundwater monitoring wells. RpSy can be used to validate temporal consistency of recharge products from land surface and hydrologic models and facilitate assessment of recharge-driver functional relationships in them.
Jun Liu, Julian Koch, Simon Stisen, Lars Troldborg, Anker Lajer Højberg, Hans Thodsen, Mark F. T. Hansen, and Raphael J. M. Schneider
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-292, https://doi.org/10.5194/essd-2024-292, 2024
Revised manuscript accepted for ESSD
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We developed a CAMELS-style dataset in Denmark, which contains hydrometeorological time series and landscape attributes for 3,330 catchments. Many of the catchments in CAMELS-DK are small and located at low elevations. The dataset provides information on groundwater characteristics and dynamics, as well as quantities related to human impact on the hydrological system in Denmark. The dataset is especially relevant for developing data-driven and hybrid physically-informed modeling frameworks.
Bernhard Lehner, Mira Anand, Etienne Fluet-Chouinard, Florence Tan, Filipe Aires, George H. Allen, Pilippe Bousquet, Josep G. Canadell, Nick Davidson, C. Max Finlayson, Thomas Gumbricht, Lammert Hilarides, Gustaf Hugelius, Robert B. Jackson, Maartje C. Korver, Peter B. McIntyre, Szabolcs Nagy, David Olefeldt, Tamlin M. Pavelsky, Jean-Francois Pekel, Benjamin Poulter, Catherine Prigent, Jida Wang, Thomas A. Worthington, Dai Yamazaki, and Michele Thieme
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-204, https://doi.org/10.5194/essd-2024-204, 2024
Preprint under review for ESSD
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The Global Lakes and Wetlands Database (GLWD) version 2 distinguishes a total of 33 non-overlapping wetland classes, providing a static map of the world’s inland surface waters. It contains cell fractions of wetland extents per class at a grid cell resolution of ~500 m. The total combined extent of all classes including all inland and coastal waterbodies and wetlands of all inundation frequencies—that is, the maximum extent—covers 18.2 million km2, equivalent to 13.4 % of total global land area.
Yueli Chen, Yun Xie, Xingwu Duan, and Minghu Ding
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-195, https://doi.org/10.5194/essd-2024-195, 2024
Revised manuscript accepted for ESSD
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Rainfall erosivity map is crucial for identifying key areas of water erosion. Due to the limited historical precipitation data, there are certain biases in rainfall erosivity estimates in China. This study develops a new rainfall erosivity map for mainland China using 1-minute precipitation data from 60,129 weather stations, revealing that areas exceeding 4000 MJ·mm·ha−1·h−1·yr−1 of annual rainfall erosivity mainly concentrated in the southern China and southern Tibetan Plateau.
Hordur Bragi Helgason and Bart Nijssen
Earth Syst. Sci. Data, 16, 2741–2771, https://doi.org/10.5194/essd-16-2741-2024, https://doi.org/10.5194/essd-16-2741-2024, 2024
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LamaH-Ice is a large-sample hydrology (LSH) dataset for Iceland. The dataset includes daily and hourly hydro-meteorological time series, including observed streamflow and basin characteristics, for 107 basins. LamaH-Ice offers most variables that are included in existing LSH datasets and additional information relevant to cold-region hydrology such as annual time series of glacier extent and mass balance. A large majority of the basins in LamaH-Ice are unaffected by human activities.
Chengcheng Hou, Yan Li, Shan Sang, Xu Zhao, Yanxu Liu, Yinglu Liu, and Fang Zhao
Earth Syst. Sci. Data, 16, 2449–2464, https://doi.org/10.5194/essd-16-2449-2024, https://doi.org/10.5194/essd-16-2449-2024, 2024
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To fill the gap in the gridded industrial water withdrawal (IWW) data in China, we developed the China Industrial Water Withdrawal (CIWW) dataset, which provides monthly IWWs from 1965 to 2020 at a spatial resolution of 0.1°/0.25° and auxiliary data including subsectoral IWW and industrial output value in 2008. This dataset can help understand the human water use dynamics and support studies in hydrology, geography, sustainability sciences, and water resource management and allocation in China.
Pierre-Antoine Versini, Leydy Alejandra Castellanos-Diaz, David Ramier, and Ioulia Tchiguirinskaia
Earth Syst. Sci. Data, 16, 2351–2366, https://doi.org/10.5194/essd-16-2351-2024, https://doi.org/10.5194/essd-16-2351-2024, 2024
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Nature-based solutions (NBSs), such as green roofs, have appeared as relevant solutions to mitigate urban heat islands. The evapotranspiration (ET) process allows NBSs to cool the air. To improve our knowledge about ET assessment, this paper presents some experimental measurement campaigns carried out during three consecutive summers. Data are available for three different (large, small, and point-based) spatial scales.
Ralph Bathelemy, Pierre Brigode, Vazken Andréassian, Charles Perrin, Vincent Moron, Cédric Gaucherel, Emmanuel Tric, and Dominique Boisson
Earth Syst. Sci. Data, 16, 2073–2098, https://doi.org/10.5194/essd-16-2073-2024, https://doi.org/10.5194/essd-16-2073-2024, 2024
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The aim of this work is to provide the first hydroclimatic database for Haiti, a Caribbean country particularly vulnerable to meteorological and hydrological hazards. The resulting database, named Simbi, provides hydroclimatic time series for around 150 stations and 24 catchment areas.
Changming Li, Ziwei Liu, Wencong Yang, Zhuoyi Tu, Juntai Han, Sien Li, and Hanbo Yang
Earth Syst. Sci. Data, 16, 1811–1846, https://doi.org/10.5194/essd-16-1811-2024, https://doi.org/10.5194/essd-16-1811-2024, 2024
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Using a collocation-based approach, we developed a reliable global land evapotranspiration product (CAMELE) by merging multi-source datasets. The CAMELE product outperformed individual input datasets and showed satisfactory performance compared to reference data. It also demonstrated superiority for different plant functional types. Our study provides a promising solution for data fusion. The CAMELE dataset allows for detailed research and a better understanding of land–atmosphere interactions.
Yuhan Guo, Hongxing Zheng, Yuting Yang, Yanfang Sang, and Congcong Wen
Earth Syst. Sci. Data, 16, 1651–1665, https://doi.org/10.5194/essd-16-1651-2024, https://doi.org/10.5194/essd-16-1651-2024, 2024
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We have provided an inaugural version of the hydrogeomorphic dataset for catchments over the Tibetan Plateau. We first provide the width-function-based instantaneous unit hydrograph (WFIUH) for each HydroBASINS catchment, which can be used to investigate the spatial heterogeneity of hydrological behavior across the Tibetan Plateau. It is expected to facilitate hydrological modeling across the Tibetan Plateau.
Ziyun Yin, Peirong Lin, Ryan Riggs, George H. Allen, Xiangyong Lei, Ziyan Zheng, and Siyu Cai
Earth Syst. Sci. Data, 16, 1559–1587, https://doi.org/10.5194/essd-16-1559-2024, https://doi.org/10.5194/essd-16-1559-2024, 2024
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Large-sample hydrology (LSH) datasets have been the backbone of hydrological model parameter estimation and data-driven machine learning models for hydrological processes. This study complements existing LSH studies by creating a dataset with improved sample coverage, uncertainty estimates, and dynamic descriptions of human activities, which are all crucial to hydrological understanding and modeling.
Pierluigi Claps, Giulia Evangelista, Daniele Ganora, Paola Mazzoglio, and Irene Monforte
Earth Syst. Sci. Data, 16, 1503–1522, https://doi.org/10.5194/essd-16-1503-2024, https://doi.org/10.5194/essd-16-1503-2024, 2024
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FOCA (Italian FlOod and Catchment Atlas) is the first systematic collection of data on Italian river catchments. It comprises geomorphological, soil, land cover, NDVI, climatological and extreme rainfall catchment attributes. FOCA also contains 631 peak and daily discharge time series covering the 1911–2016 period. Using this first nationwide data collection, a wide range of applications, in particular flood studies, can be undertaken within the Italian territory.
Wei Jing Ang, Edward Park, Yadu Pokhrel, Dung Duc Tran, and Ho Huu Loc
Earth Syst. Sci. Data, 16, 1209–1228, https://doi.org/10.5194/essd-16-1209-2024, https://doi.org/10.5194/essd-16-1209-2024, 2024
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Dams have burgeoned in the Mekong, but information on dams is scattered and inconsistent. Up-to-date evaluation of dams is unavailable, and basin-wide hydropower potential has yet to be systematically assessed. We present a comprehensive database of 1055 dams, a spatiotemporal analysis of the dams, and a total hydropower potential of 1 334 683 MW. Considering projected dam development and hydropower potential, the vulnerability and the need for better dam management may be highest in Laos.
Chuanqi He, Ci-Jian Yang, Jens M. Turowski, Richard F. Ott, Jean Braun, Hui Tang, Shadi Ghantous, Xiaoping Yuan, and Gaia Stucky de Quay
Earth Syst. Sci. Data, 16, 1151–1166, https://doi.org/10.5194/essd-16-1151-2024, https://doi.org/10.5194/essd-16-1151-2024, 2024
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The shape of drainage basins and rivers holds significant implications for landscape evolution processes and dynamics. We used a global 90 m resolution topography to obtain ~0.7 million drainage basins with sizes over 50 km2. Our dataset contains the spatial distribution of drainage systems and their morphological parameters, supporting fields such as geomorphology, climatology, biology, ecology, hydrology, and natural hazards.
Jingyu Lin, Peng Wang, Jinzhu Wang, Youping Zhou, Xudong Zhou, Pan Yang, Hao Zhang, Yanpeng Cai, and Zhifeng Yang
Earth Syst. Sci. Data, 16, 1137–1149, https://doi.org/10.5194/essd-16-1137-2024, https://doi.org/10.5194/essd-16-1137-2024, 2024
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Our paper provides a repository comprising over 330 000 observations encompassing daily, weekly, and monthly records of surface water quality spanning the period 1980–2022. It included 18 distinct indicators, meticulously gathered at 2384 monitoring sites, ranging from inland locations to coastal and oceanic areas. This dataset will be very useful for researchers and decision-makers in the fields of hydrology, ecological studies, climate change, policy development, and oceanography.
Ana M. Ricardo, Rui M. L. Ferreira, Alberto Rodrigues da Silva, Jacinto Estima, Jorge Marques, Ivo Gamito, and Alexandre Serra
Earth Syst. Sci. Data, 16, 375–385, https://doi.org/10.5194/essd-16-375-2024, https://doi.org/10.5194/essd-16-375-2024, 2024
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Floods are among the most common natural disasters responsible for severe damages and human losses. Agueda.2016Flood, a synthesis of locally sensed data and numerically produced data, allows complete characterization of the flood event that occurred in February 2016 in the Portuguese Águeda River. The dataset was managed through the RiverCure Portal, a collaborative web platform connected to a validated shallow-water model.
Jiawei Hou, Albert I. J. M. Van Dijk, Luigi J. Renzullo, and Pablo R. Larraondo
Earth Syst. Sci. Data, 16, 201–218, https://doi.org/10.5194/essd-16-201-2024, https://doi.org/10.5194/essd-16-201-2024, 2024
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The GloLakes dataset provides historical and near-real-time time series of relative (i.e. storage change) and absolute (i.e. total stored volume) storage for more than 27 000 lakes worldwide using multiple sources of satellite data, including laser and radar altimetry and optical remote sensing. These data can help us understand the influence of climate variability and anthropogenic activities on water availability and system ecology over the last 4 decades.
Menaka Revel, Xudong Zhou, Prakat Modi, Jean-François Cretaux, Stephane Calmant, and Dai Yamazaki
Earth Syst. Sci. Data, 16, 75–88, https://doi.org/10.5194/essd-16-75-2024, https://doi.org/10.5194/essd-16-75-2024, 2024
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As satellite technology advances, there is an incredible amount of remotely sensed data for observing terrestrial water. Satellite altimetry observations of water heights can be utilized to calibrate and validate large-scale hydrodynamic models. However, because large-scale models are discontinuous, comparing satellite altimetry to predicted water surface elevation is difficult. We developed a satellite altimetry mapping procedure for high-resolution river network data.
Marvin Höge, Martina Kauzlaric, Rosi Siber, Ursula Schönenberger, Pascal Horton, Jan Schwanbeck, Marius Günter Floriancic, Daniel Viviroli, Sibylle Wilhelm, Anna E. Sikorska-Senoner, Nans Addor, Manuela Brunner, Sandra Pool, Massimiliano Zappa, and Fabrizio Fenicia
Earth Syst. Sci. Data, 15, 5755–5784, https://doi.org/10.5194/essd-15-5755-2023, https://doi.org/10.5194/essd-15-5755-2023, 2023
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CAMELS-CH is an open large-sample hydro-meteorological data set that covers 331 catchments in hydrologic Switzerland from 1 January 1981 to 31 December 2020. It comprises (a) daily data of river discharge and water level as well as meteorologic variables like precipitation and temperature; (b) yearly glacier and land cover data; (c) static attributes of, e.g, topography or human impact; and (d) catchment delineations. CAMELS-CH enables water and climate research and modeling at catchment level.
Peter Burek and Mikhail Smilovic
Earth Syst. Sci. Data, 15, 5617–5629, https://doi.org/10.5194/essd-15-5617-2023, https://doi.org/10.5194/essd-15-5617-2023, 2023
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We address an annoying problem every grid-based hydrological model must solve to compare simulated and observed river discharge. First, station locations do not fit the high-resolution river network. We update the database with stations based on a new high-resolution network. Second, station locations do not work with a coarser grid-based network. We use a new basin shape similarity concept for station locations on a coarser grid, reducing the error of assigning stations to the wrong basin.
Najwa Sharaf, Jordi Prats, Nathalie Reynaud, Thierry Tormos, Rosalie Bruel, Tiphaine Peroux, and Pierre-Alain Danis
Earth Syst. Sci. Data, 15, 5631–5650, https://doi.org/10.5194/essd-15-5631-2023, https://doi.org/10.5194/essd-15-5631-2023, 2023
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We present a regional long-term (1959–2020) dataset (LakeTSim) of daily epilimnion and hypolimnion water temperature simulations in 401 French lakes. Overall, less uncertainty is associated with the epilimnion compared to the hypolimnion. LakeTSim is valuable for providing new insights into lake water temperature for assessing the impact of climate change, which is often hindered by the lack of observations, and for decision-making by stakeholders.
Jiabo Yin, Louise J. Slater, Abdou Khouakhi, Le Yu, Pan Liu, Fupeng Li, Yadu Pokhrel, and Pierre Gentine
Earth Syst. Sci. Data, 15, 5597–5615, https://doi.org/10.5194/essd-15-5597-2023, https://doi.org/10.5194/essd-15-5597-2023, 2023
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This study presents long-term (i.e., 1940–2022) and high-resolution (i.e., 0.25°) monthly time series of TWS anomalies over the global land surface. The reconstruction is achieved by using a set of machine learning models with a large number of predictors, including climatic and hydrological variables, land use/land cover data, and vegetation indicators (e.g., leaf area index). Our proposed GTWS-MLrec performs overall as well as, or is more reliable than, previous TWS datasets.
Shanlei Sun, Zaoying Bi, Jingfeng Xiao, Yi Liu, Ge Sun, Weimin Ju, Chunwei Liu, Mengyuan Mu, Jinjian Li, Yang Zhou, Xiaoyuan Li, Yibo Liu, and Haishan Chen
Earth Syst. Sci. Data, 15, 4849–4876, https://doi.org/10.5194/essd-15-4849-2023, https://doi.org/10.5194/essd-15-4849-2023, 2023
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Based on various existing datasets, we comprehensively considered spatiotemporal differences in land surfaces and CO2 effects on plant stomatal resistance to parameterize the Shuttleworth–Wallace model, and we generated a global 5 km ensemble mean monthly potential evapotranspiration (PET) dataset (including potential transpiration PT and soil evaporation PE) during 1982–2015. The new dataset may be used by academic communities and various agencies to conduct various studies.
Wei Wang, La Zhuo, Xiangxiang Ji, Zhiwei Yue, Zhibin Li, Meng Li, Huimin Zhang, Rong Gao, Chenjian Yan, Ping Zhang, and Pute Wu
Earth Syst. Sci. Data, 15, 4803–4827, https://doi.org/10.5194/essd-15-4803-2023, https://doi.org/10.5194/essd-15-4803-2023, 2023
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The consumptive water footprint of crop production (WFCP) measures blue and green evapotranspiration of either irrigated or rainfed crops in time and space. A gridded monthly WFCP dataset for China is established. There are four improvements from existing datasets: (i) distinguishing water supply modes and irrigation techniques, (ii) distinguishing evaporation and transpiration, (iii) consisting of both total and unit WFCP, and (iv) providing benchmarks for unit WFCP by climatic zones.
Emma L. Robinson, Matthew J. Brown, Alison L. Kay, Rosanna A. Lane, Rhian Chapman, Victoria A. Bell, and Eleanor M. Blyth
Earth Syst. Sci. Data, 15, 4433–4461, https://doi.org/10.5194/essd-15-4433-2023, https://doi.org/10.5194/essd-15-4433-2023, 2023
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This work presents two new Penman–Monteith potential evaporation datasets for the UK, calculated with the same methodology applied to historical climate data (Hydro-PE HadUK-Grid) and an ensemble of future climate projections (Hydro-PE UKCP18 RCM). Both include an optional correction for evaporation of rain that lands on the surface of vegetation. The historical data are consistent with existing PE datasets, and the future projections include effects of rising atmospheric CO2 on vegetation.
Xinyu Chen, Liguang Jiang, Yuning Luo, and Junguo Liu
Earth Syst. Sci. Data, 15, 4463–4479, https://doi.org/10.5194/essd-15-4463-2023, https://doi.org/10.5194/essd-15-4463-2023, 2023
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River flow is experiencing changes under the impacts of climate change and human activities. For example, flood events are occurring more often and are more destructive in many places worldwide. To deal with such issues, hydrologists endeavor to understand the features of extreme events as well as other hydrological changes. One key approach is analyzing flow characteristics, represented by hydrological indices. Building such a comprehensive global large-sample dataset is essential.
Tobias L. Hohenbrink, Conrad Jackisch, Wolfgang Durner, Kai Germer, Sascha C. Iden, Janis Kreiselmeier, Frederic Leuther, Johanna C. Metzger, Mahyar Naseri, and Andre Peters
Earth Syst. Sci. Data, 15, 4417–4432, https://doi.org/10.5194/essd-15-4417-2023, https://doi.org/10.5194/essd-15-4417-2023, 2023
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The article describes a collection of 572 data sets of soil water retention and unsaturated hydraulic conductivity data measured with state-of-the-art laboratory methods. Furthermore, the data collection contains basic soil properties such as soil texture and organic carbon content. We expect that the data will be useful for various important purposes, for example, the development of soil hydraulic property models and related pedotransfer functions.
Sebastien Klotz, Caroline Le Bouteiller, Nicolle Mathys, Firmin Fontaine, Xavier Ravanat, Jean-Emmanuel Olivier, Frédéric Liébault, Hugo Jantzi, Patrick Coulmeau, Didier Richard, Jean-Pierre Cambon, and Maurice Meunier
Earth Syst. Sci. Data, 15, 4371–4388, https://doi.org/10.5194/essd-15-4371-2023, https://doi.org/10.5194/essd-15-4371-2023, 2023
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Mountain badlands are places of intense erosion. They deliver large amounts of sediment to river systems, with consequences for hydropower sustainability, habitat quality and biodiversity, and flood hazard and river management. Draix-Bleone Observatory was created in 1983 to understand and quantify sediment delivery from such badland areas. Our paper describes how water and sediment fluxes have been monitored for almost 40 years in the small mountain catchments of this observatory.
Gopi Goteti
Earth Syst. Sci. Data, 15, 4389–4415, https://doi.org/10.5194/essd-15-4389-2023, https://doi.org/10.5194/essd-15-4389-2023, 2023
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Data on river gauging stations, river basin boundaries and river flow paths are critical for hydrological analyses, but existing data for India's river basins have limited availability and reliability. This work fills the gap by building a new dataset. Data for 645 stations in 15 basins of India were compiled and checked against global data sources; data were supplemented with additional information where needed. This dataset will serve as a reliable building block in hydrological analyses.
Md Safat Sikder, Jida Wang, George H. Allen, Yongwei Sheng, Dai Yamazaki, Chunqiao Song, Meng Ding, Jean-François Crétaux, and Tamlin M. Pavelsky
Earth Syst. Sci. Data, 15, 3483–3511, https://doi.org/10.5194/essd-15-3483-2023, https://doi.org/10.5194/essd-15-3483-2023, 2023
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We introduce Lake-TopoCat to reveal detailed lake hydrography information. It contains the location of lake outlets, the boundary of lake catchments, and a wide suite of attributes that depict detailed lake drainage relationships. It was constructed using lake boundaries from a global lake dataset, with the help of high-resolution hydrography data. This database may facilitate a variety of applications including water quality, agriculture and fisheries, and integrated lake–river modeling.
Cited articles
Abbas, A., Baek, S., Silvera, N., Soulileuth, B., Pachepsky, Y., Ribolzi, O., Boithias, L., and Cho, K. H.: In-stream Escherichia coli modeling using high-temporal-resolution data with deep learning and process-based models, Hydrol. Earth Syst. Sci., 25, 6185–6202, https://doi.org/10.5194/hess-25-6185-2021, 2021.
Abbas, A., Boithias, L., Pachepsky, Y., Kim, K., Chun, J. A., and Cho, K. H.: AI4Water v1.0: an open-source python package for modeling hydrological time series using data-driven methods, Geosci. Model Dev., 15, 3021–3039, https://doi.org/10.5194/gmd-15-3021-2022, 2022.
Arias, M. E., Cochrane, T. A., Kummu, M., Lauri, H., Holtgrieve, G. W.,
Koponen, J., and Piman, T.: Impacts of hydropower and climate change on
drivers of ecological productivity of Southeast Asia's most important
wetland, Ecol. Model., 272, 252–263,
https://doi.org/10.1016/j.ecolmodel.2013.10.015, 2014.
Boithias, L., Choisy, M., Souliyaseng, N., Jourdren, M., Quet, F., Buisson,
Y., Thammahacksa, C., Silvera, N., Latsachack, K., Sengtaheuanghoung, O.,
Pierret, A., Rochelle-Newall, E., Becerra, S., and Ribolzi, O.: Hydrological
regime and water shortage as drivers of the seasonal incidence of diarrheal
diseases in a tropical montane environment, PLoS Negl. Trop. Dis., 10,
e0005195, https://doi.org/10.1371/journal.pntd.0005195, 2016.
Boithias, L., Ribolzi, O., Lacombe, G., Thammahacksa, C., Silvera, N.,
Latsachack, K., Soulileuth, B., Viguier, M., Auda, Y., Robert, E., Evrard,
O., Huon, S., Pommier, T., Zouiten, C., Sengtaheuanghoung, O., and
Rochelle-Newall, E.: Quantifying the effect of overland flow on Escherichia coli pulses
during floods: Use of a tracer-based approach in an erosion-prone tropical
catchment, J. Hydrol., 594, 125935,
https://doi.org/10.1016/j.jhydrol.2020.125935, 2021a.
Boithias, L., Auda, Y., Audry, S., Bricquet, J., Chanhphengxay, A., Chaplot,
V., de Rouw, A., Henry des Tureaux, T., Huon, S., Janeau, J., Latsachack,
K., Le Troquer, Y., Lestrelin, G., Maeght, J., Marchand, P., Moreau, P.,
Noble, A., Pando-Bahuon, A., Phachomphon, K., Phanthavong, K., Pierret, A.,
Ribolzi, O., Riotte, J., Robain, H., Rochelle-Newall, E., Sayavong, S.,
Sengtaheuanghoung, O., Silvera, N., Sipaseuth, N., Soulileuth, B.,
Souliyavongsa, X., Sounyaphong, P., Tasaketh, S., Thammahacksa, C.,
Thiebaux, J., Valentin, C., Vigiak, O., Viguier, M., and Xayyathip, K.: The
Multiscale TROPIcal CatchmentS critical zone observatory M-TROPICS dataset
II: land use, hydrology and sediment production monitoring in Houay Pano,
northern Lao PDR, Hydrol. Process., 35, e14126,
https://doi.org/10.1002/hyp.14126, 2021b.
Causse, J., Billen, G., Garnier, J., Henri-des-Tureaux, T., Olasa, X.,
Thammahacksa, C., Latsachak, K. O., Soulileuth, B., Sengtaheuanghoung, O.,
Rochelle-Newall, E., and Ribolzi, O.: Field and modelling studies of
Escherichia coli loads in tropical streams of montane agro-ecosystems, J. Hydro-Environ.
Res., 9, 496–507, https://doi.org/10.1016/j.jher.2015.03.003, 2015.
Chaplot, V. and Poesen, J.: Sediment, soil organic carbon and runoff
delivery at various spatial scales, Catena, 88, 46–56,
https://doi.org/10.1016/j.catena.2011.09.004, 2012.
Exley, J. L. R., Liseka, B., Cumming, O., and Ensink, J. H. J.: The
Sanitation Ladder, What Constitutes an Improved Form of Sanitation?,
Environ. Sci. Technol., 49, 1086–1094, https://doi.org/10.1021/es503945x,
2015.
Global Water Forum: Basins under pressure: the Mekong basin, 47 pp., 2015.
Hecht, J. S., Lacombe, G., Arias, M. E., Dang, T. D., and Piman, T.:
Hydropower dams of the Mekong River basin: A review of their hydrological
impacts, J. Hydrol., 568, 285–300,
https://doi.org/10.1016/j.jhydrol.2018.10.045, 2019.
Kim, M., Boithias, L., Cho, K. H., Silvera, N., Thammahacksa, C.,
Latsachack, K., Rochelle-Newall, E., Sengtaheuanghoung, O., Pierret, A.,
Pachepsky, Y. A., and Ribolzi, O.: Hydrological modeling of Fecal Indicator
Bacteria in a tropical mountain catchment, Water Res., 119, 102–113,
https://doi.org/10.1016/j.watres.2017.04.038, 2017.
Kim, M., Boithias, L., Cho, K. H., Sengtaheuanghoung, O., and Ribolzi, O.:
Modeling the Impact of Land Use Change on Basin-scale Transfer of Fecal
Indicator Bacteria: SWAT Model Performance, J. Environ. Qual., 47,
1115–1122, https://doi.org/10.2134/jeq2017.11.0456, 2018.
Kondolf, G. M., Rubin, Z. K., and Minear, J. T.: Dams on the Mekong:
Cumulative sediment starvation, Water Resour. Res., 50, 5158–5169,
https://doi.org/10.1002/2013WR014651, 2014.
Lao Statistics Bureau: Results of Population and Housing Census 2015 – The
4th Population and Housing Census (PHC), 282 pp., 2015.
Le Meur, M., Le Phu, V., and Nicolas, G.: What Is the Future of the Lower
Mekong Basin Struggling against Human Activities? A Review, in: River Deltas
– Recent Advances, IntechOpen, https://doi.org/10.5772/intechopen.95010,
2021.
Liechti, N., Zimmermann, R. E., Zopfi, J., Robinson, M. T., Pierret, A.,
Ribolzi, O., Rattanavong, S., Davong, V., Newton, P. N., Wittwer, M., and
Dance, D. A. B.: Whole-Genome Assemblies of 16 Burkholderia pseudomallei Isolates from Rivers in
Laos, Microbiol. Resour. Announc., 10, e01226-20, https://doi.org/10.1128/MRA.01226-20,
2021.
Lyon, S. W., King, K., Polpanich, O., and Lacombe, G.: Assessing hydrologic
changes across the Lower Mekong Basin, J. Hydrol. Reg. Stud., 12, 303–314,
https://doi.org/10.1016/j.ejrh.2017.06.007, 2017.
MA: Millennium Ecosystem Assessment, Ecosystems and Human Well-being:
Synthesis, Island Press/World Resources Institute, Washington DC, 155 pp., 2005.
MRC: The flow of the Mekong, Mekong River Commission Management Information
Booklet Series No. 2, 12 pp., 2009.
Nakhle, P., Boithias, L., Pando-Bahuon, A., Thammahacksa, C., Gallion, N.,
Sounyafong, P., Silvera, N., Latsachack, K., Soulileuth, B.,
Rochelle-Newall, E. J., Marcangeli, Y., Pierret, A., and Ribolzi, O.: Decay
Rate of Escherichia coli in a Mountainous Tropical Headwater Wetland, Water, 13, 2068,
https://doi.org/10.3390/w13152068, 2021a.
Nakhle, P., Ribolzi, O., Boithias, L., Rattanavong, S., Auda, Y., Sayavong,
S., Zimmermann, R., Soulileuth, B., Pando, A., Thammahacksa, C.,
Rochelle-Newall, E., Santini, W., Martinez, J. M., Gratiot, N., and Pierret,
A.: Effects of hydrological regime and land use on in-stream Escherichia coli concentration
in the Mekong basin, Lao PDR, Sci. Rep., 11, 3460,
https://doi.org/10.1038/s41598-021-82891-0, 2021b.
Pokhrel, Y., Burbano, M., Roush, J., Kang, H., Sridhar, V., and Hyndman, D.:
A Review of the Integrated Effects of Changing Climate, Land Use, and Dams
on Mekong River Hydrology, Water, 10, 266,
https://doi.org/10.3390/w10030266, 2018.
Ribolzi, O., Cuny, J., Sengsoulichanh, P., Mousquès, C., Soulileuth, B.,
Pierret, A., Huon, S., and Sengtaheuanghoung, O.: Land Use and Water Quality
Along a Mekong Tributary in Northern Lao P.D.R., Environ. Manage., 47,
291–302, https://doi.org/10.1007/s00267-010-9593-0, 2011.
Ribolzi, O., Rochelle-Newall, E., Dittrich, S., Auda, Y., Newton, P. N.,
Rattanavong, S., Knappik, M., Soulileuth, B., Sengtaheuanghoung, O., Dance,
D. A. B., and Pierret, A.: Land use and soil type determine the presence of
the pathogen Burkholderia pseudomallei in tropical rivers, Environ. Sci. Pollut. Res., 23,
7828–7839, https://doi.org/10.1007/s11356-015-5943-z, 2016a.
Ribolzi, O., Evrard, O., Huon, S., Rochelle-Newall, E., Henri-des-Tureaux,
T., Silvera, N., Thammahacksac, C., and Sengtaheuanghoung, O.: Use of
fallout radionuclides (7Be, 210Pb) to estimate resuspension of Escherichia coli from
streambed sediments during floods in a tropical montane catchment, Environ.
Sci.Pollut. Res., 23, 3427–3435,
https://doi.org/10.1007/s11356-015-5595-z, 2016b.
Ribolzi, O., Evrard, O., Huon, S., de Rouw, A., Silvera, N., Latsachack, K.
O., Soulileuth, B., Lefèvre, I., Pierret, A., Lacombe, G.,
Sengtaheuanghoung, O., and Valentin, C.: From shifting cultivation to teak
plantation: effect on overland flow and sediment yield in a montane tropical
catchment, Sci. Rep., 7, 3987, https://doi.org/10.1038/s41598-017-04385-2,
2017.
Ribolzi, O., Boithias, L., Thammahacksa, C., Silvera, N., Pando-Bahuon, A.,
Sengtaheuanghoung, O., Sipaseuth, N., Latsachack, K., Soulileuth, B.,
Sounyafong, P., Khampaseuth, X., and Pierret, A.: Escherichia coli concentrations and
physico-chemical measurements (2011–2021) at the outlet of six catchments of
the Mekong river basin, northern Lao PDR, DataSuds, V3 [data set],
https://doi.org/10.23708/1YZQHH, 2021a.
Ribolzi, O., Boithias, L., Thammahacksa, C., Rochelle-Newall, E.,
Pando-Bahuon, A., Silvera, N., Sengtaheuanghoung, O., Sipaseuth, N., and
Pierret, A.: Escherichia coli concentrations and physico-chemical measurements (2011–2021)
at the outlet of the Houay Pano catchment, northern Lao PDR, DataSuds, V3 [data set],
https://doi.org/10.23708/EWOYNK, 2021b.
Ribolzi, O., Zimmermann, R., Thammahacksa, C., Rattanavong, S., Oliva, P.,
Sengtaheuanghoung, O., and Pierret, A.: Escherichia coli concentrations and physico-chemical
measurements at the outlet of 29 catchments of the Mekong river basin, Lao
PDR, during dry and rainy seasons (2016), DataSuds, V3 [data set],
https://doi.org/10.23708/ZRSBM4, 2021c.
Ribolzi, O., Causse, J., Thammahacksa, C., Latsachack, K., Huon, S.,
Henry-Des-Tureaux, T., Sengtaheuanghoung, O., Sipaseuth, N., and Pierret,
A.: Escherichia coli concentrations and physico-chemical measurements (2011) along a
cross-sectional profile of the Nam Khan river, Mekong river basin, northern
Lao PDR, DataSuds, V3 [data set], https://doi.org/10.23708/RNY0LD, 2022.
Rochelle-Newall, E., Nguyen, T. M. H., Le, T. P. Q., Sengtaheuanghoung, O.,
and Ribolzi, O.: A short review of fecal indicator bacteria in tropical
aquatic ecosystems: knowledge gaps and future directions, Front. Microbiol.,
6, 308, https://doi.org/10.3389/fmicb.2015.00308, 2015.
Rochelle-Newall, E. J., Ribolzi, O., Viguier, M., Thammahacksa, C., Silvera,
N., Latsachack, K., Dinh, R. P., Naporn, P., Sy, H. T., Soulileuth, B.,
Hmaimum, N., Sisouvanh, P., Robain, H., Janeau, J.-L., Valentin, C.,
Boithias, L., and Pierret, A.: Effect of land use and hydrological processes
on Escherichia coli concentrations in streams of tropical, humid headwater catchments, Sci.
Rep., 6, 32974, https://doi.org/10.1038/srep32974, 2016.
Sabo, J. L., Ruhi, A., Holtgrieve, G. W., Elliott, V., Arias, M. E., Ngor,
P. B., Räsänen, T. A., and Nam, S.: Designing river flows to improve
food security futures in the Lower Mekong Basin, Science, 358, eaao1053,
https://doi.org/10.1126/science.aao1053, 2017.
Santini, W., Camenen, B., Le Coz, J., Vauchel, P., Guyot, J.-L., Lavado, W., Carranza, J., Paredes, M. A., Pérez Arévalo, J. J., Arévalo, N., Espinoza Villar, R., Julien, F., and Martinez, J.-M.: An index concentration method for suspended load monitoring in large rivers of the Amazonian foreland, Earth Surf. Dynam., 7, 515–536, https://doi.org/10.5194/esurf-7-515-2019, 2019.
Shrestha, B., Maskey, S., Babel, M. S., van Griensven, A., and Uhlenbrook,
S.: Sediment related impacts of climate change and reservoir development in
the Lower Mekong River Basin: a case study of the Nam Ou Basin, Lao PDR,
Climatic Change, 149, 13–27, https://doi.org/10.1007/s10584-016-1874-z,
2018.
Tong, Y., Yao, R., He, W., Zhou, F., Chen, C., Liu, X., Lu, Y., Zhang, W.,
Wang, X., Lin, Y., and Zhou, M.: Impacts of sanitation upgrading to the
decrease of fecal coliforms entering into the environment in China, Environ.
Res., 149, 57–65, https://doi.org/10.1016/j.envres.2016.05.009, 2016.
USGS: Dissolved oxygen: U.S. Geological Survey Techniques and Methods, book
9, chap. A6.2, version 2.0., 48 pp., https://doi.org/10.3133/tm9A6.2, 2006.
Vos, T., Lim, S. S., Abbafati, C., Abbas, K. M., Abbasi, M., Abbasifard, M.,
Abbasi-Kangevari, M., Abbastabar, H., Abd-Allah, F., Abdelalim, A.,
Abdollahi, M., Abdollahpour, I., Abo lhassani, H., Aboyans, V., Abrams, E.
M., Abreu, L. G., Abrigo, M. R. M., Abu-Raddad, L. J., Abushouk, A. I.,
Acebedo, A., Ackerman, I. N., Adabi, M., Adamu, A. A., Adebayo, O. M.,
Adekanmbi, V., Adelson, J. D., Adetokunboh, O. O., Adham, D., Afshari, M.,
Afshin, A., Agardh, E. E., Agarwal, G., Agesa, K. M., Aghaali, M., Aghamir,
S. M. K., Agrawal, A., Ahmad, T., Ahmadi, A., Ahmadi, M., Ahmadieh, H.,
Ahmadpour, E., Akalu, T. Y., Akinyemi, R. O., Akinyemiju, T., Akombi, B.,
Al-Aly, Z., Alam, K., Alam, N., Alam, S., Alam, T., Alanzi, T. M.,
Albertson, S. B., Alcalde-Rabanal, J. E., Alema, N. M., Ali, M., Ali, S.,
Alicandro, G., Alijanzadeh, M., Alinia, C., Alipour, V., Aljunid, S. M.,
Alla, F., Allebeck, P., Almasi-Hashiani, A., Alonso, J., Al-Raddadi, R. M.,
Altirkawi, K. A., Alvis-Guzman, N., Alvis-Zakzuk, N. J., Amini, S.,
Amini-Rarani, M., Aminorroaya, A., Amiri, F., Amit, A. M. L., Amugsi, D. A.,
Amul, G. G. H., Anderlini, D., Andrei, C. L., Andrei, T., Anjomshoa, M.,
Ansari, F., Ansari, I., Ansari-Moghaddam, A., Antonio, C. A. T., Antony, C.
M., Antriyandarti, E., Anvari, D., Anwer, R., Arabloo, J., Arab-Zozani, M.,
Aravkin, A. Y., Ariani, F., Ärnlöv, J., Aryal, K. K., Arzani, A.,
Asadi-Aliabadi, M., Asadi-Pooya, A. A., Asghari, B., Ashbaugh, C., et al.:
Global burden of 369 diseases and injuries in 204 countries and territories,
1990–2019: a systematic analysis for the Global Burden of Disease Study
2019, The Lancet, 396, 1204–1222,
https://doi.org/10.1016/S0140-6736(20)30925-9, 2020.
WLE: Dataset on the Dams of the Irrawaddy, Mekong, Red and Salween River Basins, Vientiane, Lao PDR: CGIAR Research Program on Water, Land and Ecosystems – Greater Mekong, https://wle-mekong.cgiar.org/maps/, last access: 21 June 2022.
Zimmermann, R. E., Ribolzi, O., Pierret, A., Rattanavong, S., Robinson, M.
T., Newton, P. N., Davong, V., Auda, Y., Zopfi, J., and Dance, D. A. B.:
Rivers as carriers and potential sentinels for Burkholderia pseudomallei in Laos, Sci. Rep., 8, 8674,
https://doi.org/10.1038/s41598-018-26684-y, 2018.
Short summary
Fecal pathogens in surface waters may threaten human health, especially in developing countries. The Escherichia coli (E. coli) database is organized in three datasets and includes 1602 records from 31 sampling stations located within the Mekong River basin in Lao PDR. Data have been used to identify the drivers of E. coli dissemination across tropical catchments, including during floods. Data may be further used to interpret new variables or to map the health risk posed by fecal pathogens.
Fecal pathogens in surface waters may threaten human health, especially in developing countries....
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