abstract stochastic model for synthetic data generation is not available for daily flows of intermittent streams. such a model is required in the planning and operation of structures on an intermittent stream for purposes where short time flow fluctuations are important. in this study a model is developed for such a case. the model consists of four steps: determination of the days on which flow...

daily discharge data of 12 hydrometric recording stations in atrak river basin were manipulated to calculate low flows for 7-day duration for studying hydrological drought using regional analysis method. using regression models, the low flows for 7-days duration of 10-year return period were calculated and regional low flows were estimated for 20 stations. daily data in each station used to sim...

We study the Casimir force on a single surface immersed in an inhomoge-neous medium. Specifically we study the vacuum fluctuations of a scalar field with a spatially varying squared mass, m 2 + λ∆(x − a) + V (x), where V is a smooth potential and ∆(x) is a unit-area function sharply peaked around x = 0. ∆(x − a) represents a semi-penetrable thin plate placed at x = a. In the limits {∆(x−a) → δ(...

Recent work has produced a theory for tropical convective available potential energy (CAPE) that highlights the Clausius-Clapeyron (CC) scaling of the atmosphere’s saturation deficit as a driver of increases in CAPE with warming. Here we test this so-called “zero-buoyancy” theory for CAPE by modulating the saturation deficit of cloud-resolving simulations of radiative-convective equilibrium in ...

Streamflow disaggregation is used to preserve statistical attributes of time series across multiple sites and timescales. Several algorithms for spatial disaggregation and for disaggregation of annual to monthly flows are available. However, the disaggregation of monthly to daily or weekly to daily flows remains a challenge. A new algorithm is presented for simultaneously disaggregating monthly...

Objectives: This paper uses transportation data to estimate how daily spatio-temporal shifts in population influence the distribution of crime over a city’s census tracts (CTs). A “funnel hypothesis” states that these daily flows are central for crime concentrations within a city. We present arguments for and against funneling prior to empirical analysis. Methods: A municipal transport agency i...