Results 111 to 120 of about 25,373 (313)

Coupling Water Purification and Carbon Sequestration at Various Spatial Scales From Supply and Demand Perspective

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Balancing ecosystem‐service supply and demand is central to understanding both the natural and social dimensions of ecosystem services and to enhancing human well‐beings. Concurrently, collaborative efforts are underway to improve multiple ecosystem services, including the promotion of carbon neutrality and water purification (WP) within basin
Jing Cheng   +5 more
wiley   +1 more source

Carbon, Nitrogen, and Corresponding Stable Isotope Signatures Reveal Channel Banks as Major Sediment Sources in a Tropical Agricultural Watershed

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Uncertainties about the applicability of δ13C and δ15N as tracers of sediment sources in tropical river basins highlight the need for more in‐depth investigations of these isotopes. This study therefore assessed the effectiveness of δ13C and δ15N signatures in discriminating sediment sources in an agricultural catchment in Northeast Brazil ...
Fábio Farias Amorim   +10 more
wiley   +1 more source

Rainfall-Runoff Modelling [PDF]

open access: yes, 2004
Anthony Minns, Michael Hall
openaire   +2 more sources

A Deep State Space Model for Rainfall‐Runoff Simulations

open access: yesWater Resources Research
Abstract The classical way of studying the rainfall‐runoff processes in the water cycle relies on conceptual or physically‐based hydrologic models. Deep learning (DL) has recently emerged as an alternative and blossomed in the hydrology community for rainfall‐runoff simulations.
Yihan Wang   +4 more
openaire   +2 more sources

Rainfall-runoff Modeling Using Dynamic Evolving Neural Fuzzy Inference System with Online Learning

open access: yes, 2016
Rainfall-runoff Modeling Using Dynamic Evolving Neural Fuzzy Inference System with Online ...
S Alaghmand (13572829)   +3 more
core  

Short-term rainfall nowcasting: using rainfall radar imaging [PDF]

open access: yes, 2009
As one of the most useful sources of quantitative precipitation measurement, rainfall radar analysis can be a very useful focus for research into developing methods for rainfall prediction.
O\u27Connor, Edel   +7 more
core  

Application of Principal Component Analysis and Probabilistic Neural Networks in Ferralsols Recovery Evaluation Through Planting of Mabea Fistulifera and Eucalyptus Urograndis

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT This study presents an innovative assessment model for analyzing the evolution of degraded soils subjected to different reclamation strategies. The proposal combines statistical and artificial intelligence tools to jointly integrate multiple physical and chemical soil properties, allowing for a more synthetic view of the processes.
Melissa Alexandre Santos   +7 more
wiley   +1 more source

Modelling of water, sediment and phosphorus runoff: implications for grain cropping in southwest Australia

open access: yes, 2010
Fertiliser decision support systems are widely used for making phosphorus (P) fertiliser recommendations. However, the current decision support systems do not provide an environmental assessment (e.g. P runoff) of the P fertiliser recommendation.
Brennan, R.   +3 more
core  

Assessment of Soil Erosion Over Six Decades in a Long‐Term Experiment Using Fallout 137Cs and RUSLE: A South American Case Study

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Soil erosion remains a major global concern affecting agricultural productivity and land sustainability. This study investigates the magnitude and variability of soil erosion in a long‐term experiment (LTE) established in 1963 in Colonia, Uruguay, aiming to compare the performance of the 137Cs tracer technique and the RUSLE model across ...
Marcos Tassano   +6 more
wiley   +1 more source

Application of Parzen densities to probabilistic rainfall-runoff modelling Application of Parzen densities to probabilistic rainfall-runoff modelling rainfall-runoff modelling

open access: yes, 2003
In this paper a new black box approach for rainfall-runoff modelling at a daily scale is presented. The considered black box model is non-linear regression based on Parzen probability density function. When using only measured rainfall as an input to any black box model there is a serious problem with building in the necessary memory.
Wojcik, R., Torfs, P., Warmerdam, P.
openaire   +1 more source

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