Results 41 to 50 of about 50,709 (241)

Development of Coupled SWAT-SWMM Model (I) Model Development [PDF]

Journal of Korea Water Resources Association, 2004
From the continuous long-term rainfall-runoff standpoint, the urbanization within a watershed causes land use change due to the increase in impervious areas, the addition of manmade structures, and the changes in river environment. Therefore, rainfall-runoff characteristics changes drastically after the urbanization.
Nam-Won Kim, Yoo-Seung Won
openaire   +1 more source

Soil and Water Assessment Tool (SWAT)-Informed Deep Learning for Streamflow Forecasting with Remote Sensing and In Situ Precipitation and Discharge Observations

Remote Sensing
In order to anticipate residual errors and improve accuracy while reducing uncertainties, this work integrates the long short-term memory (LSTM) with the Soil and Water Assessment Tool (SWAT) to create a deep learning (DL) model that is guided by physics.
Chunlin Huang, Ying Zhang, Jinliang Hou
doaj   +1 more source

Calibration and Validation of SWAT for the Upper Maquoketa River Watershed, June 2005 [PDF]

, 2005
A validation study has been performed using the Soil and Water Assessment Tool (SWAT) model with data collected for the Upper Maquoketa River Watershed (UMRW), which drains over 16,000 ha in northeast Iowa.

core  

Leatherworkers and Love Potions [PDF]

, 1981
This is a preprint (author's original) version of the article published in American Ethnologist 8(3):512-25. The final version of the article can be found at http://dx.doi.org/10.1525/ae.1981.8.3.02a00060 (BU login required to view full text).
Lindholm, Charles
core   +2 more sources

Alternative Developmental Toxicity Screening Methods Using Chick Embryo‐Based Models

Journal of Applied Toxicology, EarlyView.
ABSTRACT Nonclinical developmental toxicity studies are used to investigate the potential toxicities of drugs and chemical candidates on normal embryonic and fetal development during pregnancy, generally using mammalian laboratory animals such as rats and rabbits.
Jeong Hwan Kim, Cheoljin Park, Donghee Kim, Wonjun Jeong, Jinsoo Lee   +4 more
wiley   +1 more source

White Adipose Tissue Browning and Cross Talk With Metabolic Diseases and Tumors: From Molecular Mechanisms to Clinical Translation

Med Research, EarlyView.
White adipose tissue undergoes browning under endogenous and exogenous stimuli, primarily regulated by core molecules such as PRDM16 and UCP1. It exhibits a double‐edged sword effect in metabolic diseases and tumors: while mitigating metabolic disease impacts and suppressing early‐stage tumors through nutritional competition, it may accelerate cachexia
Yingjiao Wang, Diyuan Zhang, Yuqin Zhou, Ling Qian, Yan Wang, Lei Peng, Min Zhao, Hao Tian, Zhenyu Wu, Aiqi Tang, Minghao Sun, Yi Zhang, Xiaowei Qi   +12 more
wiley   +1 more source

Assessment of the hydrological and coupled soft computing models, based on different satellite precipitation datasets, to simulate streamflow and sediment load in a mountainous catchment

Journal of Water and Climate Change, 2023
This study evaluated the performance and hydrologic utility of four different satellite precipitation datasets (SPDs), including GPM (IMERG_F), PERSIANN_CDR, CHIRPS, and CMORPH, to predict daily streamflow and SL using the SWAT hydrological model as well
Muhammad Adnan Khan, Jürgen Stamm
doaj   +1 more source

Application of SWAT Model Driven by CMADS

Highlights in Science, Engineering and Technology, 2022
The SWAT (Soil and Water Assessmennt Tool) model is a hydrological model that has developed rapidly and has great influence in recent decades. It is mainly used to simulate and predict the impact of various management measures and climate change on the supply of water resources.
Yutong Sun, Panpan Zhang, Liheng Xia
openaire   +1 more source

From Prediction to Prevention: An Explainable GeoAI Framework for Flood Susceptibility and Urban Exposure Assessment Using Machine and Deep Learning Models

Sustainable Development, EarlyView.
ABSTRACT Rapid urbanisation and intensifying rainfall have increased cities' vulnerability to flooding, posing major challenges to sustainable development. Although machine learning models have improved flood prediction accuracy, most remain limited by their black‐box nature and lack of actionable insights.
Abdulwaheed Tella, Izni Zahidi, Chow Ming Fai, Chukwuma Okolie, Quoc Bao Pham   +4 more
wiley   +1 more source

Water yield estimation and sedimentation control in two Volta sub-basins: tools towards integrated water resources management [PDF]

, 2011
Small reservoirs form a major source of water supply in the Volta basin. However, sedimentation of reservoirs poses serious threats to overall water yield and storage, consequently impacting community water supplies and livelihoods.
Ba, Alassane, Kizito, Fred, Le Page, Christophe, Obuobie, Emmanuel, Venot, Jean-Philippe   +4 more
core   +1 more source