Rainfall network design approaches and applications.

Balkan, Guven


Rainfall runoff modelling with green-ampt infiltration process.
San, Ovul; Sevük, Süha; Department of Civil Engineering (1993)
Rainfall threshold to trigger landslides in unsaturated soils: A laboratory model study
Ahmadi-adli, Mohammad; Huvaj Sarıhan, Nejan; Toker, Nabi Kartal (2017-09-22)
Rainfall triggered landslides are common natural hazards with significant consequences all over the world. In this study, laboratory model tests are conducted which aims to obtain the rainfall intensity-duration threshold to trigger landslides in a slope composed of unsaturated soil in a flume setup. Sixteen laboratory model tests are conducted to obtain the rainfall intensityduration threshold. Some of the conclusions in this study are: (1) rainfall intensity-duration (I-D) thresholds that would trigger a ...
Drought Forecasting with Time Series and Machine Learning Approaches
Evkaya, Ömer Ozan; Yozgatlıgil, Ceylan; Kestel, Sevtap Ayşe (null; 2017-12-08)
As a main reason of undesired agricultural, economic and environmental damages, drought is one of the most important stochastic natural hazard having certain features. In order to manage the impacts of drought, more than 100 drought indices have been proposed for both monitoring and forecasting purposes [1], [3]. For different types of droughts, these indices have been used to understand the effects of dry periods including meteorological, agricultural and hydrological droughts in many distinct locations. I...
Rainfall-triggered landslides in an unsaturated soil: a laboratory flume study
Ahmadi-Adli, Mohammad; Huvaj Sarıhan, Nejan; Toker, Nabi Kartal (2017-11-01)
Extreme and/or prolonged rainfall events frequently cause landslides in many parts of the world. In this study, infiltration of rainfall into an unsaturated soil slope and triggering of landslides is studied through laboratory model (flume) tests, with the goal of obtaining the triggering rainfall intensity-duration (I-D) threshold. Flume tests with fine sand at two different relative densities (34 and 48%) and at slope angle of 56.5 degrees are prepared, and rainfall (intensity in the range of 18 to 64 mm/...
Precipitation Forecasting Assessment via Nonlinear Autoregressive Neural Network and Vector Autoregressive Models
Aslan, Sipan; İyigün, Cem; Yozgatlıgil, Ceylan; Batmaz, İnci (2013-06-28)
Citation Formats
G. Balkan, “Rainfall network design approaches and applications.,” Middle East Technical University, 1979.