Manual surface measurements have traditionally formed the basis for hydrometeorological observation networks. Although automation and real-time data communication has gradually increased, sufficient area coverage for minimizing uncertainties associated with spatial averaging of hydrometeorological variables is still relatively rare. The limited availability of real-time precipitation data for t...

Gold price forecast is of great importance. Many models were presented by researchers to forecast gold price. It seems that although different models could forecast gold price under different conditions, the new factors affecting gold price forecast have a significant importance and effect on the increase of forecast accuracy. In this paper, different factors were studied in comparison to the p...

Early flood warning and real-time monitoring systems play a key role in flood risk reduction and disaster response decisions. Global-scale flood forecasting and satellite-based flood detection systems are currently operating, however their reliability for decision making applications needs to be assessed. In this study, we performed comparative evaluations of several operational global flood fo...

The aim of this study is to develop the best forecast model using hybrid Gaussian-Nonlinear Autoregressive Neural Network water level with multiple hoursahead for Melaka River. developmentof flood models crucial and has led risk control, policy recommendations, a reduction in human life loss, flood-related property destruction. In research, Artificial (ANN) approach was used by modeling forecas...

Remote sensing precipitation or from numerical weather prediction (NWP) is considered to be the best substitute for in situ ground observations flood simulations transboundary, data-scarce catchments. This research was aimed evaluate possibility of using a combination satellite product and NWP better forecasting transboundary Chenab River Basin (CRB) Pakistan. The gauge-calibrated product, i.e....

Appropriate precautions in the case of flood occurrence often require long lead times (several days) in hydrological forecasting. This in turn implies large uncertainties that are mainly inherited from the meteorological precipitation forecast. Here we present a case study of the extreme flood event of August 2005 in the Swiss part of the Rhine catchment (total area 34 550 km2). This event caus...

Effectively forecasting and communicating flood hazards at national or continental scales is critical to reducing impacts of flooding. Yet, it remains a challenge due the predominance ungauged catchments in often complex steep terrain. We present development, communication, evaluation awareness system, Aotearoa (New Zealand) Flood Awareness System, AFAS. Forecasts are produced with an uncalibra...

Among the various factors that contribute to flood risk, heavy storms, inadequate storm drainage systems, and the concentration of population and assets have usually been considered to be fundamental factors affecting flood damage. Climate change is also a real threat, bringing heavier and more frequent storms. This study presents a methodology for comparatively evaluating the impact of the flo...

The worsening condition of floods in Malaysia, in terms of frequency and impact, calls for improvement in all aspects of flood management. In addition to technology enhancement of, and developing expertise, it is hoped that improvement on the governance of flood management could alleviate the problems relating to floods. Governance of flood management aims to address the issues related to flood...