Evaluation of the Extreme Precipitation and Runoff Flow Characteristics in a Semiarid Sub-Basin Based on Three Satellite Precipitation Products DOI Creative Commons

Rosalía López Barraza,

María Teresa Alarcón Herrera, Ana Elizabeth Marín Celestino

и другие.

Hydrology, Год журнала: 2025, Номер 12(4), С. 89 - 89

Опубликована: Апрель 15, 2025

In this study, we analyzed the suitability of using CHIRPS, CMORPH and TRMM platforms in monitoring extreme precipitation events, precipitation–runoff relationships, seasonal/year-to-year variability Saltito semiarid sub-basin Mexican state Durango. Satellite products (SPP) 16 sites were contrasted point to with data from rainfall gauge stations a daily temporal resolution for period four years (2015–2019). Using information, constructed Rx1d, Rx2d, R25mm, RR95 indices. For runoff model based on Storm Water Management Model (SWMM) was calibrated validated data, obtained Qx1d, Qx2d, Qx3d We used bias volume (%), MSE, correlation coefficient, median evaluate ability satellite detect analyze run flow events. Although these sensors tend overestimate both levels occurrence their high spatial resolutions make them reliable tool analysis trends climate change As result, they serve as useful resource evaluating intensity region, particularly terms patterns. They also allow hydrological modeling observation relationships. This is relevant absence hydrometric which usually common vast regions developing world.

Язык: Английский

Comparing SWMM and HEC-RAS Hydrological Modeling Performance in Semi-Urbanized Watershed DOI Open Access

Michael A. Bragg,

Ashmita Poudel,

José G. Vasconcelos

и другие.

Water, Год журнала: 2025, Номер 17(9), С. 1331 - 1331

Опубликована: Апрель 29, 2025

One of the most common applications hydrological models is in studying urban watersheds, with distributed and semi-distributed being used more frequently. The choice modeling tools selection processes to represent dependent on objectives, available resources, scale study. Certain setup parameters can have important effects model accuracy, such as representation aquifer components, detailed surface storage, discretization, among others. these are often unknown since studies do not systematically alter nor consider different tools. This study performs a comparative analysis between SWMM HEC-RAS describing response semi-urbanized headwater watershed Alabama. Within each model, were varied accuracy assessed stream depth velocity collected field. results showed that impactful existence an component well careful storage. Conversely, comparable when was present, but runoff highly overpredicted infiltration considered. These indicate limitations rain-on-grid neglect interactions shallow groundwater.

Язык: Английский

Процитировано

0
A Novel Hybrid Model for Hourly Streamflow and Water Level Prediction from Radar Reflectivity Using Deep Learning Approaches DOI

Thi-Linh Dinh,

D.-H. Phung, Hyun‐Han Kwon

и другие.

Water Resources Management, Год журнала: 2025, Номер unknown

Опубликована: Май 21, 2025

Язык: Английский

Процитировано

0
Evaluation of the Extreme Precipitation and Runoff Flow Characteristics in a Semiarid Sub-Basin Based on Three Satellite Precipitation Products DOI Creative Commons

Rosalía López Barraza,

María Teresa Alarcón Herrera, Ana Elizabeth Marín Celestino

и другие.

Hydrology, Год журнала: 2025, Номер 12(4), С. 89 - 89

Опубликована: Апрель 15, 2025

In this study, we analyzed the suitability of using CHIRPS, CMORPH and TRMM platforms in monitoring extreme precipitation events, precipitation–runoff relationships, seasonal/year-to-year variability Saltito semiarid sub-basin Mexican state Durango. Satellite products (SPP) 16 sites were contrasted point to with data from rainfall gauge stations a daily temporal resolution for period four years (2015–2019). Using information, constructed Rx1d, Rx2d, R25mm, RR95 indices. For runoff model based on Storm Water Management Model (SWMM) was calibrated validated data, obtained Qx1d, Qx2d, Qx3d We used bias volume (%), MSE, correlation coefficient, median evaluate ability satellite detect analyze run flow events. Although these sensors tend overestimate both levels occurrence their high spatial resolutions make them reliable tool analysis trends climate change As result, they serve as useful resource evaluating intensity region, particularly terms patterns. They also allow hydrological modeling observation relationships. This is relevant absence hydrometric which usually common vast regions developing world.

Язык: Английский

Процитировано

0