Results 31 to 40 of about 5,668 (262)

Comparison of gridded precipitation datasets for rainfall-runoff and inundation modeling in the Mekong River Basin.

open access: yesPLoS ONE, 2020
Precipitation, as a primary hydrological variable in the water cycle plays an important role in hydrological modeling. The reliability of hydrological modeling is highly related to the quality of precipitation data.
Sophal Try   +8 more
doaj   +1 more source

Unravelling the Impacts of Climate Variability on Surface Runoff in the Mouhoun River Catchment (West Africa)

open access: yesLand, 2023
This study assesses the impacts of climate variability on surface runoff generation in the Mouhoun River Catchment (MRC) in Burkina Faso, in the West African Sahel. The study uses a combination of observed and reanalysis data over the period 1983–2018 to
Cheick Oumar Zouré   +3 more
doaj   +1 more source

Technical Feasibility Study of Autonomous Field Robot‐Based on‐the‐go Assessment of Soil Nutrients Using Ion‐Sensitive Field‐Effect Transistors

open access: yesAdvanced Robotics Research, EarlyView.
Autonomous field robots equipped with ISFET‐based sensors enable rapid, spatially resolved soil nutrient analysis directly in the field. An automated system based on the BoniRob platform is presented for standardized on‐site extraction and measurement of key macronutrients and soil pH.
Vadim Riedel   +3 more
wiley   +1 more source

Impact of Spatial Rainfall Scenarios on River Basin Runoff Simulation a Nan River Basin Study Using the Rainfall-Runoff-Inundation Model

open access: yesEng, 2023
This study aims to investigate the impact of spatial rainfall distribution scenarios from ground observation stations on runoff simulation using hydrological modeling specific to the Rainfall-Runoff-Inundation (RRI) model.
Kwanchai Pakoksung
doaj   +1 more source

Interference of ATP‐Binding Cassette Transporter by Functional Nano‐Delivery System for High Efficiency Management of Insecticide‐Resistant Nilaparvata lugens

open access: yesAdvanced Science, EarlyView.
A ZIF‐90 nanocarrier delivers dinotefuran and suppresses NlABCG3 and NlABCH1 in resistant Nilaparvata lugens. This system combines pH/ATP‐triggered release with enhanced foliar retention, improving efficacy while sparing honeybees and promoting rice growth, offering a promising resistance‐breaking strategy.
Chengshuai He   +9 more
wiley   +1 more source

A distributed numerical rainfall-runoff model combined with snowmelt module

open access: yesShui kexue jinzhan, 2012
Due to the lack of studies on numerical modeling of the rainfall-runoff process combined with snowmelt runoff in China,a distributed rainfall-runoff model with a snowmelt module is developed based on geographical information systems(GIS) techniques.The ...
HUANG Jin-bo   +3 more
doaj   +1 more source

Urban flood forecasting using a hybrid modeling approach based on a deep learning technique

open access: yesJournal of Hydroinformatics, 2023
Climate change is contributing to the increasing frequency and severity of flooding worldwide. Therefore, forecasting and preparing for floods while considering extreme climate conditions are essential for decision-makers to prevent and manage disasters.
Hyeontae Moon   +2 more
doaj   +1 more source

Groundwater Rise Sustains the World's Largest Alpine Water System Under Global Warming

open access: yesAdvanced Science, EarlyView.
Shallow groundwater depth (SGWD) across the non‐permafrost plains of the Qinghai–Xizang Plateau decreased at averagely 0.02 m year−1, adding 31.44 Gt of freshwater storage from 2000 to 2020 and sustaining ∼53 500 km2 of alpine ecosystems. A vadose‐zone capacity of 426.6 Gt reveals these aquifers as promising reservoirs, highlighting groundwater's ...
Jianqing Du   +15 more
wiley   +1 more source

TOPMODEL CAPABILITY FOR RAINFALL-RUNOFF MODELING OF THE AMMAMEH WATERSHED AT DIFFERENT TIME SCALES USING DIFFERENT TERRAIN ALGORITHMS

open access: yesJournal of Urban and Environmental Engineering, 2011
In this study, the rainfall-runoff response of the Ammameh watershed located in Tehran, Iran, was studied using TOPMODEL which is a semi-distributed and geomorphologic model that simulates runoff at the watershed’s outlet on the basis of saturation ...
Vahid Nourani   +2 more
doaj   +2 more sources

Multi-step ahead forecasting of daily streamflow based on the transform-based deep learning model under different scenarios

open access: yesScientific Reports
Predicting runoff with precision holds immense importance for flood control, water resource management, and basin ecological dispatch. Deep learning, especially long short-term memory (LSTM) neural networks, has excelled in runoff prediction, often ...
Miao He   +4 more
doaj   +1 more source

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