نتایج جستجو برای: monthly and 24 hourly maximum rainfall data
تعداد نتایج: 17088667 فیلتر نتایج به سال:
identification of spatial-temporal anomalies sea level pressure in iran was the main aim in this research. for this purpose six hourly data used from the to eastern longitude and to northern latitude. in this location, there are 825 pixels to geographical degree. therefore, database extent created. in this matrix, 825 are number of the pixels at that location and 90520 is number of six hourly s...
Abstract In this study, the predicted monthly temperature and rainfall data from HadCM3 model (base period, ۱۹۷۲-۲۰۰۱) and next period (۲۰۱۱-۲۰۴۰) under A2emission scenario were used to investigate the impacts of climate change on runoff variations in the Kor river basin. HadCM3 model output was downscaled based on a temporal downscaling approach (Change Factor) and spatial downscaling appro...
In 2003, a network for hydrology of the semiarid region (REHISA in Portuguese) was created in Brazil. Since then, experimental watersheds in this region has been providing hydrometeorological data collected in automatic stations. However, the spatial distribution of these gauges might be insufficient to thoroughly understand the hydrological processes occurring in the area. Remotely sensed hydr...
As a follow up and an advancement of the recently published Rainfall Erosivity Database at European Scale (REDES) and the respective mean annual R-factor map, the monthly aspect of rainfall erosivity has been added to REDES. Rainfall erosivity is crucial to be considered at a monthly resolution, for the optimization of land management (seasonal variation of vegetation cover and agricultural sup...
Soil moisture exhibits spatial and temporal variability. Spatial variability is mostly associated to climatology patterns, topography, soil texture, and vegetation index; where as, temporal variability is primarily associated to rainfall and air temperature events. The spatial variability is modeled by a long-term memory model whereas the temporal variability by a short-term memory model. The l...
accelerated soil erosion is an undesirable process that adversely affects water and soil resources. rainfall erosivity is an important factor in water erosion models. accordingly, the present study was conducted to estimate the rainfall erosivity throughout iran based on the latest available detailed rainfall data while considering its temporal and spatial variations. to accomplish this, th...
Erosion rate has temporal variability and shows a cyclic fluctuation in each year as well as the factors influence it due to the seasonality of climate. This study was done to determine the seasonal variability of rainfall erosivity and suspended sediment and also to found out critical times in term of erosion risk in Kasiliyan watershed. The appropriate indices of monthly rainfall erosivity we...
Background and Objective: Since mobile resources are the most important sources of air pollution in the metropolis of Rasht and due to the importance of air pollution in wet weather condition in Rasht, this research was carried out in a specific area to determine the pattern governing the change in the monthly emissions of pollutants on a small scale, using the results obtained from that area. ...
Local dry/wet conditions are of great concern in regional water resource and floods/droughts disaster risk management. Satellite-based precipitation products have greatly improved their accuracy and applicability and are expected to offer an alternative to ground rain gauges data. This paper investigated the capability of Tropical Rainfall Measuring Mission (TRMM) rainfall data for monitoring t...
A yearlong field experimental campaign was conducted to reveal time scales over which antibiotic fluxes vary in the influent of a wastewater treatment plant (WTP). In particular, sampling was carried out to ascertain the amplitudes of monthly, daily and hourly fluctuations of several antibiotics. A total of 180 samples was collected at the entrance of a WTP in Lausanne, Switzerland. Sample conc...
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