Results 111 to 120 of about 77,303 (305)

Assessing the Role of Spatial Rainfall Variability on Watershed Response based on Weather Radar Data (A Case Study of the Gard Region, France)

International Journal of Technology, 2018
The primary input for hydrological the hydrological model is rainfall. The accurate illustration of rainfall in time and space is important for rainfall-runoff modeling since it impact the hydrological responses.
Evi Anggraheni, Dwita Sutjiningsih, Isabelle Emmanuel, Olivier Payrastre, Herve Andrieu   +4 more
doaj   +1 more source

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

Land 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, Mingyang Ding, Zhenya Zhu, Xinping Luo, Xin Huang, Chunbo Huang   +5 more
wiley   +1 more source

Calibrated radar-derived rainfall data for rainfall-runoff modeling. [PDF]

, 2009
This study focuses on a technique to improve runoff modeling based on radar-derived rainfall and hydrological model for the whole watershed. GIS tools were used to provide the model parameters for the Upper Bernam River Basin (1090 km2), Malaysia ...
Abdul Halim, G,, Mohamed Shariff, Abdul Rashid, Mohd Soom, Mohd Amin, Waleed, A. R. M., Wayayok, Aimrun   +4 more
core  

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

Land 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, Yuri Jacques Agra Bezerra da Silva, Rennan Cabral Nascimento, Ygor Jacques Agra Bezerra da Silva, Angelo Jamil Maia, Tales Tiecher, Jean Paolo Gomes Minella, Yusheng Zhang, Hari Ram Upadhayay, Simon Pulley, Adrian L. Collins   +10 more
wiley   +1 more source

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

Land 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, Borja Velázquez‐Martí, Jorge João Delfim, Laura Silva Nantes, Jose Augusto Liberato de Souza, Gabriel Augusto da Silva Lunardelli, Dayara Vivian Alvares, Carolina dos Santos Batista Bonini   +7 more
wiley   +1 more source

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

Land 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, Mirel Cabrera, Joan Gonzalez, Mario Perez‐Bidegain, Olivier Evrard, Kathrin Grahmann, J. Andrés Quincke   +6 more
wiley   +1 more source

Hydrogeological mapping of fracture networks using earth observation data to improve rainfall–runoff modeling in arid mountains, Saudi Arabia

Open Geosciences
Rainfall–runoff modeling is essential for the hydrological analysis of basins; however, the traditional modeling approach does not incorporate geological features such as fractures and fissures in the modeling task.
Chaabani Anis, Adem Esubalew, Elfeki Amro, Farran Mohammed M., Shults Roman, Elhag Mohamed   +5 more
doaj   +1 more source

Assessment and Modeling of Green Roof System Hydrological Effectiveness in Runoff Control: A Case Study in Dublin

IEEE Access
Green roofs are essential for urban greening and climate adaptation, especially in densely populated areas. Analyzing runoff reduction parameters is crucial for effectively designing and implementing these systems.
Mehdi Gholamnia, Payam Sajadi, Salman Khan, Srikanta Sannigrahi, Saman Ghaffarian, Himan Shahabi, Francesco Pilla   +6 more
doaj   +1 more source

Rainfall-Runoff Modelling [PDF]

, 2004
Anthony Minns, Michael Hall
openaire   +2 more sources

Estimating Soil Compaction Risk at Regional Scales Using Meteorological Data and Soil Spectroscopy

Land Degradation &Development, EarlyView.
ABSTRACT Soil compaction is a significant form of soil degradation in Europe, reducing agricultural productivity, limiting carbon sequestration and increasing greenhouse gases emissions. In response, the forthcoming European Union Soil Monitoring and Resilience Law requires spatial assessment of topsoil and subsoil compaction risk at district, that is,
Felipe Bachion de Santana, Rebecca. L. Hall, Longnan Shi, Owen Fenton, Victoria Lowe, Giulia Bondi, Lilian O'Sullivan, Karen Daly   +7 more
wiley   +1 more source