Runoff observation in a tropical Brantas watershed as observed from long-term globally available TerraClimate data 2001–2020
نویسندگان
چکیده
Abstract Runoff information and its dynamics are critical for supporting watershed management; however, spatio-temporal data about runoff is rare or unavailable in data-scarce regions. Information the performance of remote sensing-based potential application limitedly known. In regions, this condition impedes comprehensive assessment especially midst climate change impacts. This study examined globally available monthly dataset provided by TerraClimate at ~ 4 km spatial resolution employed them to assess a humid tropic watershed. Monthly shows moderate with an r 0.63, RMSE 57–127 mm/month NRMSE 18–30% simulated from well-calibrated model. The upper region Brantas was found be hotspot high runoff. About 25% area belongs (0–33rd percentile). Over last two decades, has been slightly increased across area. Green vegetation fraction (GVF), precipitation, topography regulating dynamics. While precipitation impact on straightforward, GVF’s role complex site-specific. High mostly associated steep slope. GVF appears less effective representing ground cover against generation due variability actual types. Using time-series vector analysis (CVA) GVF, examined. Long-term CVA also that fluctuated slight increase impaired condition. exemplified use tropical region. Despite limitation performance, can used support regional water resource data-scare Future improvement includes downscaling machine learning considered improve remotely sensed deliver bigger benefits such data.
منابع مشابه
Prediction and evaluation of runoff data in south of Qazvin watershed, using a fuzzy logic technique
The important criteria for designing in the most of hydrologic and hydraulic construction projects are based on runoff or peak-flow of water. Mostly, this measure and criterion is calculated or estimated by stochastic data. Another feature of these data that are used in watershed hydrological studies is their impreciseness. Therefore, in this study, in order to deal with uncertainty and impreci...
متن کاملLong-Term Ionic Increases from a Central Appalachian Forested Watershed
The electrical conductivity of stream water draining from an unmanaged and undisturbed control watershed has been increasing rather steadily, about 0.03 mS m-1 yr-1, since 1971. During this period, NO~ and Ca 2÷ concentrations increased and were shown to mathematically account for the ionic contribution to conductivity; therefore, they are believed to be primarily responsible for the increase. ...
متن کاملSimulating watershed runoff with a new data model
This paper presents the implementation of a new data model for simulating watershed runoff. This data model, called nen, allows users to visualize and analyse the processes that are simulated in the watershed runoff model. It extends data models typically used in modelling watershed runoff, such as raster, that do not give direct insight into the spatial dynamics and distribution of the process...
متن کاملHydrological modelling using globally available data
Hydrological modelling for meso-scale catchments using globally available data A. Gafurov, J. Götzinger, and A. Bárdossy Institute of Hydraulic Engineering, Department of Hydrology and Geohydrology, University of Stuttgart, Pfaffenwaldring 61, 70550 Stuttgart, Germany Received: 20 April 2006 – Accepted: 28 April 2006 – Published: 11 August 2006 Correspondence to: A. Gafurov ([email protected]...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Geoenvironmental Disasters
سال: 2022
ISSN: ['2197-8670']
DOI: https://doi.org/10.1186/s40677-022-00214-5