Nitrate isotopes in catchment hydrology: insights, ideas and implications for models
Abstract Models that simulate water flow and quality, particularly related to nitrate ions, are
commonly used on a catchment-scale. However, tracking nitrate ions is a challenging task …
commonly used on a catchment-scale. However, tracking nitrate ions is a challenging task …
Post construction green infrastructure performance monitoring parameters and their functional components
TK Geberemariam - Environments, 2016 - mdpi.com
Drainage system infrastructures in most urbanized cities have reached or exceeded their
design life cycle and are characterized by running with inadequate capacity. These highly …
design life cycle and are characterized by running with inadequate capacity. These highly …
Adaptation effort and performance of water management strategies to face climate change impacts in six representative basins of Southern Europe
We evaluated different management alternatives to enhance potential water availability for
agriculture under climate change scenarios. The management goal involved maximizing …
agriculture under climate change scenarios. The management goal involved maximizing …
Relationship between rainfall duration and sewer system performance measures within the context of uncertainty
Urbanization and climate change have resulted in an increase in catchment runoff, often
exceeding the designed capacity of sewer systems. The decision to modernize a sewer …
exceeding the designed capacity of sewer systems. The decision to modernize a sewer …
Bias correction of hydrologic projections strongly impacts inferred climate vulnerabilities in institutionally complex water systems
Water-resources planners use regional water management models (WMMs) to identify
vulnerabilities to climate change. Frequently, dynamically downscaled climate inputs are …
vulnerabilities to climate change. Frequently, dynamically downscaled climate inputs are …
Comparing quantile regression forest and mixture density long short-term memory models for probabilistic post-processing of satellite precipitation-driven streamflow …
Deep learning (DL) and machine learning (ML) are widely used in hydrological modelling,
which plays a critical role in improving the accuracy of hydrological predictions. However …
which plays a critical role in improving the accuracy of hydrological predictions. However …
Blue water in Europe: estimates of current and future availability and analysis of uncertainty
This study presents a regional assessment of future blue water availability in Europe under
different assumptions. The baseline period (1960 to 1999) is compared to the near future …
different assumptions. The baseline period (1960 to 1999) is compared to the near future …
Moving beyond the cost–loss ratio: economic assessment of streamflow forecasts for a risk-averse decision maker
S Matte, MA Boucher, V Boucher… - Hydrology and Earth …, 2017 - hess.copernicus.org
A large effort has been made over the past 10 years to promote the operational use of
probabilistic or ensemble streamflow forecasts. Numerous studies have shown that …
probabilistic or ensemble streamflow forecasts. Numerous studies have shown that …
[PDF][PDF] Comparing machine learning and deep learning models for probabilistic post-processing of satellite precipitation-driven streamflow simulation
Deep learning (DL) models are popular but computationally expensive, machine learning
(ML) models are old-fashioned but more efficient. Their differences in hydrological …
(ML) models are old-fashioned but more efficient. Their differences in hydrological …
[HTML][HTML] A continental assessment of reservoir storage and water availability in South America
This study presents the first continental assessment of water storage and its influence on the
availability of water of the river systems of South America. Although hydraulic infrastructure …
availability of water of the river systems of South America. Although hydraulic infrastructure …