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Abstract River water quality forecasting on directed river networks requires jointly modeling temporal dynamics and directional spatial dependencies among monitoring sites. Existing spatio-temporal models often emphasize...

The prediction of suspended sediment concentration (SSC) is of critical importance for the management of aquatic ecosystems, flood control, and erosion assessments. However, the continuous measurement of SSC is technical...

Abstract Snowfall is the primary contributor to Antarctic surface mass balance. Identifying regional‐scale mechanisms that drive heavy snowfall provides context for changes in Antarctic surface mass balance in a warmer...

This book makes a clear presentation of the traditional topics included in a course of undergraduate parallel programming. As explained by the authors, it was developed from their own experience in classrooms, introducin...

Reconciling urban expansion with ecological integrity is a key objective of the Kunming-Montréal Global Biodiversity Framework, particularly in fluvial and coastal cities. Their extensive river networks and urban wetlan...

Assessing DEMs is a critical step in hydrological applications to reduce uncertainties. This study assesses the uncertainty level of using several DEM products by comparing the derivation of watershed morphometric inform...

Abstract Rapid and continuous urbanization has increased water demand in cities worldwide. Global assessments of urban water scarcity should be conducted using gridded hydrological information, but are hampered by the la...

Freshwater science has grown and evolved extensively since its inception in the late 1800s. Many of the models and conceptual frameworks developed for and used in freshwater research were originally proposed by researche...

"Although property graphs are increasingly being studied by the research community, most authors do not consider the evolution of such graphs over time. However, this is needed to capture a wide range of real-world situa...

Bangladesh is highly susceptible to recurrent and devastating floods due to its geographic location. This research investigates the application of Geographic Information Systems (GIS) in developing flood evacuation route...

Downscaling is a critical step to bridge the gap between large-scale climate information and local-scale impact assessments. However, steep and complex mountainous terrain induces highly heterogeneous local-scale meteoro...

The Global Flood Awareness System (GloFAS) is a promising flood-modelling tool available for most river basins worldwide. However, it contains inherent biases, notably linked to its spatial resolution. This study propose...

The identification of suitable models for predicting daily water flow is important for planning and management of water storage in reservoirs of Argentina. Long-term prediction of water flow is crucial for regulating res...

The innovation of energy-saving and carbon-reduction technologies has become a key driver for the green and low-carbon transformation of economic development. This paper utilizes panel data from 291 cities in China from ...

Understanding spatial distribution patterns is essential to management of invasive species. Aquatic invasive species can be notably challenging to detect due to the substantial effort required to locate them underwater. ...

Regional economic growth drives significant land-use changes, impacting urban development, resource allocation, and ecological networks. Challenges such as climate change, ecological degradation, and land-use-ecology con...

Quantifying bedload transport at the catchment scale of large rivers remains a critical challenge in river management and sediment budget assessment. Traditional direct sampling methods are logistically demanding and pro...

This work is a multidisciplinary environmental study that provides new insights into the relationships between sediment-organic matter characteristics and polybrominated diphenyl ethers (PBDEs) concentration. The aim of ...

Soil erosion is a major problem, which has had adverse effects on the productivity of agriculture, the quality of water, and the sustainability of land in the long term, especially in semi-arid states of southern India. ...

"In this paper, we propose a formalism to query transportation networks that are equipped with sensors that produce time-series data. The core of the proposed query mechanism is a logic based language that is capable to...

This paper presents an introduction to Artificial Intelligence and creativity. Creativity is analyzed from a biological point of view based on the concept of neuroplasticity of the human brain. It seeks to understand the...

Abstract Microorganisms play key roles in nutrient cycling and soil remediation in saline-alkaline ecosystems. However, how their assembly rules and interaction networks change during natural succession remains unclear. ...

Recent rock art research in the Pali Aike volcanic field (PAVF, southern Argentina and Chile) expanded the chronology (ca. 3100B.P.) and morphological and technical repertoire of abstract-geometric and figurative paintin...

Accurate rainfall information is crucial for various applications, including river flow estimation, water resource management, and flood warning system development. Traditional rain gauge networks, however, suffer from l...