Young and mid-career professionals, managers, engineers and technicians interested in water resources management in general, and in particular the assessment of quantity and quality of water resources. Processing and validation of both ground and remote sensing data is a key part of the module.
Water resources assessment aims to measure quantity and quality of the water in a system, including data collection, data validation, and water accounting techniques, using both ground and remote sensing.
1. Water resources assessment: – Water Resources data: Different types of water resources data, monitoring, validation, archiving, and dissemination, and a review of a WRA case study. – Surface water resources assessment: time series analysis of WR data, including: flow duration curves, statistical distribution and trend analysis, extreme value analysis (floods and droughts). – Groundwater resources assessment: assessment of aquifer hydraulic properties and areal extent, recharge and discharge, sustainable yield, and groundwater abstraction. – Water quality monitoring and assessment: requirements for WQ assessment; WQ parameters; WQ monitoring program; Pollution; WQ assessment. – Estimation of water resources data in un-gauged basins and regionalization.
2. Water using activities: Agricultural water demand, crop water requirement, net irrigation requirement, yield analysis, domestic water use, hydropower water demand, environmental water requirement.
3. Water accounting: Introduction to remote sensing data for water resources applications; Satellite image processing; Catchment water balance in GIS environment; Water productivity and water valuation; Water accounting. The learning activities include lectures and workshops in class, exercises and tutorial, and a field visit to WaterNet (Amsterdam).
Upon completion, the participant should be able to:
– Describe different types of water resources data, generated either from ground and/or RS measurements.
– Apply diverse methods of data processing and data validation for water resources assessment, including statistical analysis of time serieseseries data.
– Quantify the different components of the water resources spectrum (rainfall, river flow, groundwater), and assess availability and access at different scales.
– Describe and apply different methods of water quality monitoring and assessment.
– Analyse and quantify multiple uses of water for: agriculture, hydropower, domestic, environment and other uses
– Access different data types (rainfall, evapotranspiration, river flows) from open data sources.
– Apply water accounting techniques for assessing water resources, water use, and water productivity in a river basin context.