Effects of Spatial Patterns of Precipitation on the Hydrologic Response. An Evaluation with Observed Data in a Tropical River Basin for Hydropower Purposes

2019 ◽  
Author(s):  
BLANCA A BOTERO ◽  
J.C. PARRA ◽  
JUAN JOSÉ OCAMPO ◽  
CAMILO CHALÁN ◽  
ESTEFANÍA LOPERA ◽  
...  
Keyword(s):  
River Basin ◽  
Spatial Patterns ◽  
Hydrologic Response ◽  
Tropical River

Modeling land use change impacts on a tropical river basin in Brazil

2020 ◽  
Author(s):  
L. F. de Sousa ◽  
C. A. S. Santos ◽  
R. L. Gomes ◽  
F. A. Rocha ◽  
R. M. de Jesus
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
River Basin ◽  
Tropical River

scholarly journals Runoff Analysis for Tropical River Basin Athi, Kenya

1995 ◽  
Vol 39 ◽  
pp. 19-24
Author(s):  
Shigeki KOBATAKE ◽  
Maurice O. Nyadawa
Keyword(s):  
River Basin ◽  
Tropical River ◽  
Runoff Analysis

scholarly journals Assessing Risk and Sources of Heavy Metals in a Tropical River Basin: A Case Study of the Selangor River, Malaysia

2018 ◽  
Vol 27 (4) ◽  
pp. 1659-1671 ◽  
Author(s):  
Faridah Othman ◽  
Md. Sadek Chowdhury ◽  
Wan Zurina Wan Jaafar ◽  
E.M. Mohammad Faresh ◽  
S.M. Shirazi
Keyword(s):  
Heavy Metals ◽  
River Basin ◽  
Tropical River

Development of a Non-Linear Integrated Drought Index (NDI) for Managing Drought and Water Resources Forecasting in the Upper Tana River Basin-Kenya

2020 ◽  
Vol 11 (1) ◽  
pp. 15-33
Author(s):  
Raphael Muli Wambua
Keyword(s):  
Water Resources ◽  
River Basin ◽  
Lead Time ◽  
Drought Index ◽  
Meteorological Data ◽  
Principal Component ◽  
Drought Forecasting ◽  
Tropical River ◽  
Tana River ◽  
Non Linear

This article uses the non-linear integrated drought index (NDI) for managing drought and water resources forecasting in a tropical river basin. The NDI was formulated using principal component analysis (PCA). The NDI used hydro-meteorological data and forecasted using recursive multi-step neural networks. In this article, drought forecasting and projection is adopted for planning ahead for mitigation and for the adaptation of adverse effects of droughts and food insecurity in the river basin. Results that forecasting ability of NDI model using ANNs decreased with increase in lead time. The formulated NDI as a tool for projecting into the future.

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