Results 151 to 160 of about 7,970 (210)

Bridging Event‐Based and StorAge Selection Approaches to Backward Travel Time Distributions

Water Resources Research, Volume 62, Issue 10, October 2026.
Abstract Event‐based backward travel time distributions (bTTDs) inferred from environmental tracer time series provide event‐scale insight into catchment transport, whereas StorAge Selection (SAS) functions describe integrated transport dynamics at the system scale.
Simon Hoeg
wiley   +1 more source

Seasonal forecasting of dissolved organic carbon in a Mediterranean catchment: Enhancing upstream control of disinfection by-product precursors. [PDF]

Environ Monit Assess
Pedregal-Montes A, Mercado-Bettín D, Futter M, Ledesma JLJ, Farré MJ, Marcé R, Jennings E.   +6 more
europepmc   +1 more source

Sediment Vulnerability Ranking for River Basins Across the Contiguous U.S. Using Integrated Biophysical and Social‐Ecological Data

JAWRA Journal of the American Water Resources Association, Volume 62, Issue 5, October 2026.
ABSTRACT Nearly half of streams and rivers in the United States (U.S.) have fair to poor conditions for aquatic ecosystem health as declared by the U.S. Environmental Protection Agency, and sediment was identified as a primary factor impairing these waterbodies.
Nicholas A. Sutfin, Allen C. Gellis, Nancy Baker, Christopher H. Conaway, Katherine J. Skalak   +4 more
wiley   +1 more source

Integrating hydrological simulation and paddy yield prediction using SWAT in the Bharathapuzha River basin of South India. [PDF]

Sci Rep
Karunanidhi D, Nair GS, Subramani T, Berhe BA.   +3 more
europepmc   +1 more source

Riverine Flood Forecasting Using Advanced Deep Learning Approaches

JAWRA Journal of the American Water Resources Association, Volume 62, Issue 5, October 2026.
ABSTRACT Accurate riverine flood forecasting is crucial for effective river management. This paper utilized the Time‐Series Dense Encoder (TiDE), Neural Hierarchical Interpolation for Time Series Forecasting (N‐HiTS), and Patch Time Series Transformer (PatchTST) to forecast riverine flood and benchmarked their results against Long Short‐Term Memory ...
Krishna Panthi, Mostafa Saberian, Vidya Samadi   +2 more
wiley   +1 more source

Changes in Rainfall Regime: A Case Study in the Piracicaba River Basin, Brazil

JAWRA Journal of the American Water Resources Association, Volume 62, Issue 5, October 2026.
ABSTRACT Changes in precipitation regimes associated with climate variability and climate change pose significant challenges to water resource management, agriculture, and land‐use planning, particularly in socioeconomically strategic regions such as the Piracicaba River Basin, Brazil.
Ronalton Machado, Tárcio Rocha Lopes, Sérgio Nascimento Duarte, Carlos Trucíos   +3 more
wiley   +1 more source

Naturalized and human-influenced streamflow of the Amur River for century-scale hydrological assessment. [PDF]

Sci Data
Feng Y, Li Y, Zhang B, Zhang S, Zhao T, Zhang C.   +5 more
europepmc   +1 more source

Paleo‐Hydrological Drought in the South Saskatchewan River Basin: Implications for Water Allocation and Management

JAWRA Journal of the American Water Resources Association, Volume 62, Issue 5, October 2026.
ABSTRACT The South Saskatchewan River Basin (SSRB) in southern Alberta is the only major Canadian watershed where water supplies are effectively fully allocated. This was the first region targeted for land‐use and water‐supply planning under new provincial legislation.
Mohammad Zare, David Sauchyn, David M. Meko   +2 more
wiley   +1 more source

Antecedent moisture enhances early warning of atmospheric river flood hazards. [PDF]

Nat Commun
Webb MJ, Albano CM, Bozkurt D, Garreaud RD, Wilson AM, Yu G, Anderson ML, Ralph FM.   +7 more
europepmc   +1 more source

Dynamic Land Use Change in SWAT+: A Novel Application of Scenario Decision Tables

JAWRA Journal of the American Water Resources Association, Volume 62, Issue 5, October 2026.
ABSTRACT Land use and land cover (LULC) changes significantly impact hydrological processes, yet their dynamic representation in hydrological models remains a challenge. This paper introduces and pioneers the use of the newly implemented capability of SWAT+ to simulate dynamic LULC changes using “land use scenario decision tables”.
Lucas Alcamo, Jeff Arnold, Timo Schaffhauser, Natalja Cerkasova, Markus Disse   +4 more
wiley   +1 more source