Many of the scientific and societal challenges in understanding and preparing for global environmental change rest upon our ability to understand and predict the water cycle change at large river basin, continent, and global scales. However, current large-scale land models (as a component of Earth System Models, or ESMs) do not yet reflect the best hydrologic process understanding or utilize th...

Economic ideas and processes are becoming increasingly integrated with more traditional engineering and hydrologic models of water management problems. Combining economic management concepts and performance indicators with an engineering-level of understanding of a hydrologic system can provide results and insights more directly relevant for water management decisions and policies. When such mo...

In this chapter, we present the design of Teacher (an acronym for TEchniques for the Automated Creation of HEuRistics), a system for learning and for generalizing heuristics used in problem solving. Our system learns knowledge-lean heuristics whose performance is measured statistically. The objective of the design process is to nd, under resource constraints, improved heuristic methods (HMs) as...

The basic principles underlying the most commonly used physically-based models of the rainfall-runoff transformation process are reviewed. A thorough knowledge of these principles is a pre-requisite for flood hazard studies and, thus, this chapter reviews several physically-based methods to determine flood discharges, flow depths, and other flood characteristics. The chapter starts with a thoro...

Abstract. This study employs a stochastic hydrologic modeling framework to evaluate the sensitivity of flood frequency analyses different components chain. The major chain, including model structure, parameter estimation, initial conditions, and precipitation inputs were examined across return periods from 2 100 000 years at two watersheds representing hydroclimates western USA. A total 10 stru...

Hydrologic simulation employing computer models has advanced rapidly and computerized models have become essential tools for understanding human influences on river flows and designing ecologically sustainable water management approaches. The HEC-HMS is a reliable model developed by the US Army Corps of Engineers that could be used for many hydrological simulations. This model is not calibrated...

Abstract Severe water crises in Pakistan and growing demands Afghanistan requires a bilateral agreement on Kabul River basin (KRB) but precise stream-flow data is critical matter. The aim of this research to assess the data-scarce transboundary Chitral-Kabul (C-KRB) using hydrologic modeling approach. HEC-HMS model was applied for predicting peak-flow simulating runoff C-KRB. calibrated over pe...

Predicting the impact of land cover and climate change on hydrologic responses using modeling tools are essential in understanding the movement and pattern of hydrologic processes within the watershed. The paper provided potential implications of land conversions and climate change scenarios on the hydrologic processes of Muleta watershed using soil and water assessment tool model. Model inputs...