Articles | Volume 14, issue 2
https://doi.org/10.5194/essd-14-559-2022
© 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-14-559-2022
© 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
| 
09 Feb 2022
Data description paper |
| 09 Feb 2022
| 09 Feb 2022
Distribution and characteristics of wastewater treatment plants within the global river network
Heloisa Ehalt Macedo
CORRESPONDING AUTHOR
Department of Geography, McGill University, Montreal, QC H3A 0B9,
Canada
Bernhard Lehner
CORRESPONDING AUTHOR
Department of Geography, McGill University, Montreal, QC H3A 0B9,
Canada
Jim Nicell
Department of Civil Engineering, McGill University, Montreal, QC H3A
2K7, Canada
Günther Grill
Department of Geography, McGill University, Montreal, QC H3A 0B9,
Canada
Jing Li
Department of Civil Engineering, McGill University, Montreal, QC H3A
2K7, Canada
Antonio Limtong
Department of Geography, McGill University, Montreal, QC H3A 0B9,
Canada
Ranish Shakya
Department of Geography, McGill University, Montreal, QC H3A 0B9,
Canada
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Treated and untreated wastewaters are sources of contaminants of emerging concern. HydroFATE, a new global model, estimates their concentrations in surface waters, identifying streams that are most at risk and guiding monitoring/mitigation efforts to safeguard aquatic ecosystems and human health. Model predictions were validated against field measurements of the antibiotic sulfamethoxazole, with predicted concentrations exceeding ecological thresholds in more than 400 000 km of rivers worldwide.
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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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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
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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.
Aloïs Tilloy, Dominik Paprotny, Stefania Grimaldi, Goncalo Gomes, Alessandra Bianchi, Stefan Lange, Hylke Beck, and Luc Feyen
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-41, https://doi.org/10.5194/essd-2024-41, 2024
Revised manuscript accepted for ESSD
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This article presents a reanalysis of Europe's rivers streamflow for the period 1950–2020, using a state-of-the-art hydrological simulation framework. The dataset, called HERA (Hydrological European ReAnalysis), uses detailed information about the landscape, climate, and human activities to estimate river flow. HERA can be a valuable tool for studying hydrological dynamics, including the impacts of climate change and human activities on European water resources, flood and drought risks.
Daniel Kovacek and Steven Weijs
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-508, https://doi.org/10.5194/essd-2023-508, 2024
Revised manuscript accepted for ESSD
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We made a dataset for British Columbia describing the terrain, soil, land cover, and climate of over 1 million watersheds. The attributes are often used in hydrology because they are related to the water cycle. The data is meant to be used for water resources problems that can benefit from lots of basins and their attributes. The data and instructions needed to build the dataset from scratch are freely available. The permanent home for the data is https://doi.org/10.5683/SP3/JNKZVT.
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.
Maik Heistermann, Till Francke, Lena Scheiffele, Katya Dimitrova Petrova, Christian Budach, Martin Schrön, Benjamin Trost, Daniel Rasche, Andreas Güntner, Veronika Döpper, Michael Förster, Markus Köhli, Lisa Angermann, Nikolaos Antonoglou, Manuela Zude-Sasse, and Sascha E. Oswald
Earth Syst. Sci. Data, 15, 3243–3262, https://doi.org/10.5194/essd-15-3243-2023, https://doi.org/10.5194/essd-15-3243-2023, 2023
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Cosmic-ray neutron sensing (CRNS) allows for the non-invasive estimation of root-zone soil water content (SWC). The signal observed by a single CRNS sensor is influenced by the SWC in a radius of around 150 m (the footprint). Here, we have put together a cluster of eight CRNS sensors with overlapping footprints at an agricultural research site in north-east Germany. That way, we hope to represent spatial SWC heterogeneity instead of retrieving just one average SWC estimate from a single sensor.
Benjamin M. Kitambo, Fabrice Papa, Adrien Paris, Raphael M. Tshimanga, Frederic Frappart, Stephane Calmant, Omid Elmi, Ayan Santos Fleischmann, Melanie Becker, Mohammad J. Tourian, Rômulo A. Jucá Oliveira, and Sly Wongchuig
Earth Syst. Sci. Data, 15, 2957–2982, https://doi.org/10.5194/essd-15-2957-2023, https://doi.org/10.5194/essd-15-2957-2023, 2023
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The surface water storage (SWS) in the Congo River basin (CB) remains unknown. In this study, the multi-satellite and hypsometric curve approaches are used to estimate SWS in the CB over 1992–2015. The results provide monthly SWS characterized by strong variability with an annual mean amplitude of ~101 ± 23 km3. The evaluation of SWS against independent datasets performed well. This SWS dataset contributes to the better understanding of the Congo basin’s surface hydrology using remote sensing.
Natalie Lützow, Georg Veh, and Oliver Korup
Earth Syst. Sci. Data, 15, 2983–3000, https://doi.org/10.5194/essd-15-2983-2023, https://doi.org/10.5194/essd-15-2983-2023, 2023
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Glacier lake outburst floods (GLOFs) are a prominent natural hazard, and climate change may change their magnitude, frequency, and impacts. A global, literature-based GLOF inventory is introduced, entailing 3151 reported GLOFs. The reporting density varies temporally and regionally, with most cases occurring in NW North America. Since 1900, the number of yearly documented GLOFs has increased 6-fold. However, many GLOFs have incomplete records, and we call for a systematic reporting protocol.
Hanieh Seyedhashemi, Florentina Moatar, Jean-Philippe Vidal, and Dominique Thiéry
Earth Syst. Sci. Data, 15, 2827–2839, https://doi.org/10.5194/essd-15-2827-2023, https://doi.org/10.5194/essd-15-2827-2023, 2023
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This paper presents a past and future dataset of daily time series of discharge and stream temperature for 52 278 reaches over the Loire River basin (100 000 km2) in France, using thermal and hydrological models. Past data are provided over 1963–2019. Future data are available over the 1976–2100 period under different future climate change models (warm and wet, intermediate, and hot and dry) and scenarios (optimistic, intermediate, and pessimistic).
Youjiang Shen, Karina Nielsen, Menaka Revel, Dedi Liu, and Dai Yamazaki
Earth Syst. Sci. Data, 15, 2781–2808, https://doi.org/10.5194/essd-15-2781-2023, https://doi.org/10.5194/essd-15-2781-2023, 2023
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Res-CN fills a gap in a comprehensive and extensive dataset of reservoir-catchment characteristics for 3254 Chinese reservoirs with 512 catchment-level attributes and significantly enhanced spatial and temporal coverage (e.g., 67 % increase in water level and 225 % in storage anomaly) of time series of reservoir water level (data available for 20 % of 3254 reservoirs), water area (99 %), storage anomaly (92 %), and evaporation (98 %), supporting a wide range of applications and disciplines.
Hui Zheng, Wenli Fei, Zong-Liang Yang, Jiangfeng Wei, Long Zhao, Lingcheng Li, and Shu Wang
Earth Syst. Sci. Data, 15, 2755–2780, https://doi.org/10.5194/essd-15-2755-2023, https://doi.org/10.5194/essd-15-2755-2023, 2023
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An ensemble of evapotranspiration, runoff, and water storage is estimated here using the Noah-MP land surface model by perturbing model parameterization schemes. The data could be beneficial for monitoring and understanding the variability of water resources. Model developers could also gain insights by intercomparing the ensemble members.
Alison L. Kay, Victoria A. Bell, Helen N. Davies, Rosanna A. Lane, and Alison C. Rudd
Earth Syst. Sci. Data, 15, 2533–2546, https://doi.org/10.5194/essd-15-2533-2023, https://doi.org/10.5194/essd-15-2533-2023, 2023
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Climate change will affect the water cycle, including river flows and soil moisture. We have used both observational data (1980–2011) and the latest UK climate projections (1980–2080) to drive a national-scale grid-based hydrological model. The data, covering Great Britain and Northern Ireland, suggest potential future decreases in summer flows, low flows, and summer/autumn soil moisture, and possible future increases in winter and high flows. Society must plan how to adapt to such impacts.
Jamie Hannaford, Jonathan D. Mackay, Matthew Ascott, Victoria A. Bell, Thomas Chitson, Steven Cole, Christian Counsell, Mason Durant, Christopher R. Jackson, Alison L. Kay, Rosanna A. Lane, Majdi Mansour, Robert Moore, Simon Parry, Alison C. Rudd, Michael Simpson, Katie Facer-Childs, Stephen Turner, John R. Wallbank, Steven Wells, and Amy Wilcox
Earth Syst. Sci. Data, 15, 2391–2415, https://doi.org/10.5194/essd-15-2391-2023, https://doi.org/10.5194/essd-15-2391-2023, 2023
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The eFLaG dataset is a nationally consistent set of projections of future climate change impacts on hydrology. eFLaG uses the latest available UK climate projections (UKCP18) run through a series of computer simulation models which enable us to produce future projections of river flows, groundwater levels and groundwater recharge. These simulations are designed for use by water resource planners and managers but could also be used for a wide range of other purposes.
Cited articles
Agência Nacional de Águas (ANA): Atlas Esgotos: Despoluição
de bacias hidrográficas [data set], available at: https://metadados.snirh.gov.br/geonetwork/srv/por/catalog.search#/metadata/1d8cea87-3d7b-49ff-86b8-966d96c9eb01 (last access: September 2019), 2017.
Anderson, P. D., D'Aco, V. J., Shanahan, P., Chapra, S. C., Buzby, M. E.,
Cunningham, V. L., DuPlessie, B. M., Hayes, E. P., Mastrocco, F. J., Parke,
N. J., Rader, J. C., Samuelian, J. H., and Schwab, B. W.: Screening Analysis
of Human Pharmaceutical Compounds in U.S. Surface Waters, Environ. Sci.
Technol., 38, 838–849, https://doi.org/10.1021/es034430b, 2004.
Beusen, A. H. W., Van Beek, L. P. H., Bouwman, A. F., Mogollón, J. M., and Middelburg, J. J.: Coupling global models for hydrology and nutrient loading to simulate nitrogen and phosphorus retention in surface water – description of IMAGE–GNM and analysis of performance, Geosci. Model Dev., 8, 4045–4067, https://doi.org/10.5194/gmd-8-4045-2015, 2015.
Bunzel, K., Kattwinkel, M., and Liess, M.: Effects of organic pollutants
from wastewater treatment plants on aquatic invertebrate communities, Water
Res., 47, 597–606, https://doi.org/10.1016/j.watres.2012.10.031, 2013.
Central Pollution Control Board (CPCB): Inventorization of Sewage Treatment
Plants, available at:
http://nrcd.nic.in/writereaddata/FileUpload/NewItem_210_Inventorization_of_Sewage-Treatment_Plant.pdf (last access: October 2019), 2015.
Comisión Nacional del Agua (CONAGUA): Plantas de tratamiento de agua
residual (nacional), SINA [data set], available at:
http://sina.conagua.gob.mx/sina/tema.php?tema=plantasTratamiento (last
access: October 2019), 2018.
Daughton, C. G.: Real-time estimation of small-area populations with human
biomarkers in sewage, Sci. Total Environ., 414, 6–21, https://doi.org/10.1016/j.scitotenv.2011.11.015, 2012.
Daughton, C. G. and Ternes, T. A.: Pharmaceuticals and personal care
products in the environment: agents of subtle change?, Environ. Health
Perspect., 107, 907–938, https://doi.org/10.1289/ehp.99107s6907, 1999.
Department of Water and Sanitation (DWS): National Integrated Water Information System, available at: https://www.dws.gov.za/niwis2, last access: October 2019.
Dumont, E., Johnson, A. C., Keller, V. D. J., and Williams, R. J.: Nano
silver and nano zinc-oxide in surface waters – Exposure estimation for
Europe at high spatial and temporal resolution, Environ. Pollut., 196,
341–349, https://doi.org/10.1016/j.envpol.2014.10.022, 2015.
Ehalt Macedo, H., Lehner, B., Nicell, J., Grill, G., Li, J., Limtong, A.,
and Shakya, R.: HydroWASTE version 1.0., figshare [dataset], https://doi.org/10.6084/m9.figshare.14847786.v1, 2021.
Environment Canada: Wastewater Systems Effluent Regulations, WSER [data
set], available at:
https://www.canada.ca/en/environment-climate-change/services/wastewater/publications/wastewater-data-reports.html (last access: October 2019), 2017.
Environmental Medicines Agency (EMA): Guideline on the environmental risk
assessment of medicinal products for human use: available at:
https://www.ema.europa.eu/en/environmental-risk-assessment-medicinal-products-human-use#current-version-section (last access: December 2019), 2006.
European Environment Agency (EEA): Waterbase-UWWTD: Urban Waste Water
Treatment Directive – reported data, EEA [data set], available at:
https://www.eea.europa.eu/data-and-maps/data/waterbase-uwwtd-urban-waste-water-treatment-directive-6 (last access: October 2019), 2017.
Food and Agriculture Organization of the United Nations (FAO): AQUASTAT
Core Database, available at: https://www.fao.org/aquastat/en/databases/maindatabase/ (last access: October 2019), 2016.
Font, C., Bregoli, F., Acuña, V., Sabater, S., and Marcé, R.: GLOBAL-FATE (version 1.0.0): A geographical information system (GIS)-based model for assessing contaminants fate in the global river network, Geosci. Model Dev., 12, 5213–5228, https://doi.org/10.5194/gmd-12-5213-2019, 2019.
Grill, G., Khan, U., Lehner, B., Nicell, J., and Ariwi, J.: Risk assessment
of down-the-drain chemicals at large spatial scales: Model development and
application to contaminants originating from urban areas in the Saint
Lawrence River Basin, Sci. Total Environ., 541, 825–838, https://doi.org/10.1016/j.scitotenv.2015.09.100, 2016.
Grill, G., Li, J., Khan, U., Zhong, Y., Lehner, B., Nicell, J., and Ariwi,
J.: Estimating the eco-toxicological risk of estrogens in China's rivers
using a high-resolution contaminant fate model, Water Res., 145, 707–720,
https://doi.org/10.1016/j.watres.2018.08.053, 2018.
Grill, G., Lehner, B., Thieme, M., Geenen, B., Tickner, D., Antonelli, F.,
Babu, S., Borrelli, P., Cheng, L., Crochetiere, H., Ehalt Macedo, H.,
Filgueiras, R., Goichot, M., Higgins, J., Hogan, Z., Lip, B., McClain, M.
E., Meng, J., Mulligan, M., Nilsson, C., Olden, J. D., Opperman, J. J.,
Petry, P., Reidy Liermann, C., Sáenz, L., Salinas-Rodríguez, S.,
Schelle, P., Schmitt, R. J. P., Snider, J., Tan, F., Tockner, K., Valdujo,
P. H., van Soesbergen, A., and Zarfl, C.: Mapping the world's free-flowing
rivers, Nature, 569, 215–221, https://doi.org/10.1038/s41586-019-1111-9, 2019.
Herrera, V.: Reconciling global aspirations and local realities: Challenges
facing the Sustainable Development Goals for water and sanitation, World
Dev., 118, 106–117, https://doi.org/10.1016/j.worlddev.2019.02.009, 2019.
Hill, R., Carter, L., and Kay, R.: Wastewater Treatment Facilities,
Geoscience Australia [data set], https://doi.org/10.4225/25/543B53F92E643, 2012.
Hofstra, N., Bouwman, A. F., Beusen, A. H. W., and Medema, G. J.: Exploring
global Cryptosporidium emissions to surface water, Sci. Total Environ., 442,
10–19, https://doi.org/10.1016/j.scitotenv.2012.10.013, 2013.
Jones, E. R., van Vliet, M. T. H., Qadir, M., and Bierkens, M. F. P.: Country-level and gridded estimates of wastewater production, collection, treatment and reuse, Earth Syst. Sci. Data, 13, 237–254, https://doi.org/10.5194/essd-13-237-2021, 2021.
Kapo, K. E., DeLeo, P. C., Vamshi, R., Holmes, C. M., Ferrer, D., Dyer, S.
D., Wang, X., and White-Hull, C.: iSTREEM®: An approach for
broad-scale in-stream exposure assessment of “down-the-drain” chemicals,
Integr. Environ. Assess. Manage., 12, 782–792, https://doi.org/10.1002/ieam.1793, 2016.
Keller, V. D. J., Williams, R. J., Lofthouse, C., and Johnson, A. C.:
Worldwide estimation of river concentrations of any chemical originating
from sewage-treatment plants using dilution factors, Environ. Toxicol.
Chem., 33, 447–452, https://doi.org/10.1002/etc.2441, 2014.
Kroeze, C., Gabbert, S., Hofstra, N., Koelmans, A. A., Li, A., Löhr, A.,
Ludwig, F., Strokal, M., Verburg, C., Vermeulen, L., van Vliet, M. T. H., de
Vries, W., Wang, M., and van Wijnen, J.: Global modelling of surface water
quality: a multi-pollutant approach, Curr. Opin. Env. Sust., 23, 35–45, https://doi.org/10.1016/j.cosust.2016.11.014, 2016.
Lehner, B. and Grill, G.: Global river hydrography and network routing:
baseline data and new approaches to study the world's large river systems,
Hydrol. Process., 27, 2171–2186, https://doi.org/10.1002/hyp.9740, 2013.
Lehner, B., Verdin, K., and Jarvis, A.: New global hydrography derived from
spaceborne elevation data, Eos, 89, 93–94, https://doi.org/10.1029/2008EO100001, 2008.
Link, M., von der Ohe, P. C., Voß, K., and Schäfer, R. B.:
Comparison of dilution factors for German wastewater treatment plant
effluents in receiving streams to the fixed dilution factor from chemical
risk assessment, Sci. Total Environ., 598, 805–813, https://doi.org/10.1016/j.scitotenv.2017.04.180, 2017.
Linke, S., Lehner, B., Ouellet Dallaire, C., Ariwi, J., Grill, G., Anand,
M., Beames, P., Burchard-Levine, V., Maxwell, S., Moidu, H., Tan, F., and
Thieme, M.: Global hydro-environmental sub-basin and river reach
characteristics at high spatial resolution, Sci. Data, 6, 283, https://doi.org/10.1038/s41597-019-0300-6, 2019.
Mayorga, E., Seitzinger, S. P., Harrison, J. A., Dumont, E., Beusen, A. H.
W., Bouwman, A. F., Fekete, B. M., Kroeze, C., and Van Drecht, G.: Global
Nutrient Export from WaterSheds 2 (NEWS 2): Model development and
implementation, Environ. Modell. Softw., 25, 837–853, https://doi.org/10.1016/j.envsoft.2010.01.007, 2010.
Messager, M. L., Lehner, B., Grill, G., Nedeva, I., and Schmitt, O.:
Estimating the volume and age of water stored in global lakes using a
geo-statistical approach, Nat. Commun., 7, 13603, https://doi.org/10.1038/ncomms13603, 2016.
Müller Schmied, H., Eisner, S., Franz, D., Wattenbach, M., Portmann, F. T., Flörke, M., and Döll, P.: Sensitivity of simulated global-scale freshwater fluxes and storages to input data, hydrological model structure, human water use and calibration, Hydrol. Earth Syst. Sci., 18, 3511–3538, https://doi.org/10.5194/hess-18-3511-2014, 2014.
Munz, N. A., Burdon, F. J., de Zwart, D., Junghans, M., Melo, L., Reyes, M.,
Schönenberger, U., Singer, H. P., Spycher, B., Hollender, J., and Stamm,
C.: Pesticides drive risk of micropollutants in wastewater-impacted streams
during low flow conditions, Water Res., 110, 366–377, https://doi.org/10.1016/j.watres.2016.11.001, 2017.
Musolff, A., Leschik, S., Reinstorf, F., Strauch, G., and Schirmer, M.: Assessing emerging
contaminants – Case study of the city of Leipzig, Germany, IAHS-AISH
P., 178–185, 2008.
Nakada, N., Hanamoto, S., Jürgens, M. D., Johnson, A. C., Bowes, M. J.,
and Tanaka, H.: Assessing the population equivalent and performance of
wastewater treatment through the ratios of pharmaceuticals and personal care
products present in a river basin: Application to the River Thames basin,
UK, Sci. Total Environ., 575, 1100–1108, https://doi.org/10.1016/j.scitotenv.2016.09.180, 2017.
Neale, P. A., Munz, N. A., Aït-Aïssa, S., Altenburger, R., Brion, F., Busch,
W., Escher, B. I., Hilscherová, K., Kienle, C., Novák, J., Seiler,
T.-B., Shao, Y., Stamm, C., and Hollender, J.: Integrating chemical analysis
and bioanalysis to evaluate the contribution of wastewater effluent on the
micropollutant burden in small streams, Sci. Total Environ., 576, 785–795,
https://doi.org/10.1016/j.scitotenv.2016.10.141, 2017.
O'Brien, J. W., Thai, P. K., Eaglesham, G., Ort, C., Scheidegger, A.,
Carter, S., Lai, F. Y., and Mueller, J. F.: A Model to Estimate the
Population Contributing to the Wastewater Using Samples Collected on Census
Day, Environ. Sci. Technol., 48, 517–525, https://doi.org/10.1021/es403251g, 2014.
Oldenkamp, R., Hoeks, S., Čengić, M., Barbarossa, V., Burns, E. E.,
Boxall, A. B. A., and Ragas, A. M. J.: A High-Resolution Spatial Model to
Predict Exposure to Pharmaceuticals in European Surface Waters: ePiE,
Environ. Sci. Technol., 52, 12494–12503, https://doi.org/10.1021/acs.est.8b03862, 2018.
Rice, J. and Westerhoff, P.: Spatial and Temporal Variation in De Facto
Wastewater Reuse in Drinking Water Systems across the U.S.A, Environ. Sci.
Technol., 49, 982–989, https://doi.org/10.1021/es5048057, 2015.
Rice, J. and Westerhoff, P.: High levels of endocrine pollutants in US
streams during low flow due to insufficient wastewater dilution, Nat.
Geosci., 10, 587–591, https://doi.org/10.1038/ngeo2984, 2017.
Richter, B. D., Postel, S., Revenga, C., Scudder, T., Lehner, B., Churchill,
A., and Chow, M. J. W.: Lost in development's shadow: The downstream
human consequences of dams, Water Altern., 3, 14–42, 2010.
Strokal, M., Spanier, J. E., Kroeze, C., Koelmans, A. A., Flörke, M.,
Franssen, W., Hofstra, N., Langan, S., Tang, T., van Vliet, M. T. H., Wada,
Y., Wang, M., van Wijnen, J., and Williams, R.: Global multi-pollutant
modelling of water quality: scientific challenges and future directions,
Curr. Opin. Env. Sust., 36, 116–125, https://doi.org/10.1016/j.cosust.2018.11.004, 2019.
Superintendencia Nacional de Servicios de Saneamiento (SUNASS): Plantas de
Tratamiento de Agua Residual, GEOSUNASS [data set], available at:
https://geosunass.sunass.gob.pe/geoportal/sunass/home/index (last access: October 2019), 2018.
Tang, T., Strokal, M., van Vliet, M. T. H., Seuntjens, P., Burek, P.,
Kroeze, C., Langan, S., and Wada, Y.: Bridging global, basin and local-scale
water quality modeling towards enhancing water quality management worldwide,
Curr. Opin. Env. Sust., 36, 39–48, https://doi.org/10.1016/j.cosust.2018.10.004, 2019.
Tatem, A. J.: WorldPop, open data for spatial demography, Sci. Data,
4, 170004, https://doi.org/10.1038/sdata.2017.4, 2017.
Thiebault, T., Alliot, F., Berthe, T., Blanchoud, H., Petit, F., and Guigon,
E.: Record of trace organic contaminants in a river sediment core: From
historical wastewater management to historical use, Sci. Total Environ.,
773, 145694, https://doi.org/10.1016/j.scitotenv.2021.145694, 2021.
United Nations Environment Programme (UNEP): A Snapshot of the World's Water
Quality: Towards a global assessment, United Nations Environment Programme, Nairobi, Kenya, 162 pp., 2016.
United Nations Environment Programme – World Conservation Monitoring Centre (UNEP–WCMC) and International Union for Conservation of Nature (IUCN):
Protected Planet: The World Database on Protected Areas (WDPA), available at: https://www.iucn.org/theme/protected-areas/our-work/quality-and-effectiveness/world-database-protected-areas-wdpa, last access: January 2021.
United States Environmental Protection Agency (US EPA): Clean Watersheds
Needs Survey, EPA [data set], available at: https://www.epa.gov/cwns (last access:
December 2019), 2016.
Van Drecht, G., Bouwman, A. F., Harrison, J., and Knoop, J. M.: Global
nitrogen and phosphate in urban wastewater for the period 1970 to 2050,
Global Biogeochem. Cycles, 23, GB0A03, https://doi.org/10.1029/2009gb003458, 2009.
van Vliet, M. T. H., Flörke, M., Harrison, J. A., Hofstra, N., Keller,
V., Ludwig, F., Spanier, J. E., Strokal, M., Wada, Y., Wen, Y., and
Williams, R. J.: Model inter-comparison design for large-scale water quality
models, Curr. Opin. Env. Sust., 36, 59–67, https://doi.org/10.1016/j.cosust.2018.10.013, 2019.
van Vliet, M. T. H., Jones, E. R., Flörke, M., Franssen, W. H. P.,
Hanasaki, N., Wada, Y., and Yearsley, J. R.: Global water scarcity including
surface water quality and expansions of clean water technologies,
Environ. Res. Lett., 16, 024020, https://doi.org/10.1088/1748-9326/abbfc3,
2021.
Vigiak, O., Grizzetti, B., Zanni, M., Aloe, A., Dorati, C., Bouraoui, F.,
and Pistocchi, A.: Domestic waste emissions to European waters in the 2010s,
Sci. Data, 7, 33, https://doi.org/10.1038/s41597-020-0367-0, 2020.
Water New Zealand: New Zealand Wastewater Treatment Plant Inventory, WWTP [data set], available at: https://www.waternz.org.nz/WWTPInventory, last access: October 2019.
Williams, R., Keller, V., Voß, A., Bärlund, I., Malve, O.,
Riihimäki, J., Tattari, S., and Alcamo, J.: Assessment of current water
pollution loads in Europe: estimation of gridded loads for use in global
water quality models, Hydrol. Process., 26, 2395–2410, https://doi.org/10.1002/hyp.9427, 2012.
World Bank: Gross National Income (GNI) per capita, Atlas method, available at: https://datahelpdesk.worldbank.org/knowledgebase/articles/906519-world-bank-country-and-lending-groups,
last access: December 2019.
World Health Organization (WHO) and United Nations Habitat (UN Habitat):
Progress on safe treatment and use of wastewater: piloting the monitoring
methodology and initial findings for SDG indicator 6.3.1, WHO and UN-Habitat, Geneva, Switzerland, 40 pp., ISBN 978-9241514897, 2018.
World Health Organization(WHO) and United Nations Children's Fund (UNICEF): Joint Monitoring Programme (JMP) for water supply and sanitation
(WASH), available at: https://washdata.org/, last access: December 2019.
World Health Organization (WHO) and United Nations Children's Fund (UNICEF): Progress on household drinking water, sanitation and hygiene
2000–2020: five years into the SDGs, WHO and UNICEF, Geneva, Switzerland, 164 pp., ISBN (WHO) 978-9240030848, 2021.
WorldPop and Center for International Earth Science Information Network (CIESIN): Global High Resolution Population Denominators Project, https://doi.org/10.5258/SOTON/WP00647, 2018.
Short summary
We introduce HydroWASTE, a spatially explicit global database of 58 502 wastewater treatment plants (WWTPs) and their characteristics to understand the impact of discharges from such facilities. HydroWASTE was developed by compiling regional datasets and using auxiliary information to complete missing characteristics. The location of the outfall of the WWTPs into the river system is also included, allowing for the identification of the waterbodies most likely affected.
We introduce HydroWASTE, a spatially explicit global database of 58 502 wastewater treatment...
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