Canal_Structures
Description
The dataset “Canal_Structures.xlsx” provides detailed structural and operational characteristics of canal segments within an irrigation network. It is designed for researchers, engineers, and policymakers involved in water resource management, irrigation planning, and hydrodynamic modelling. Key Features 1. Dataset Scope: • Includes data on canal lengths, cross-sectional dimensions, irrigation areas, and operational details for each canal segment. • Covers primary and secondary canals, along with associated turnouts and off-take regulators. 2. Variables Included: • Structural Information: • Canal ID, Length (km), Bed Width (m), Top Width (m), Bed Level (mPWD), and Side Slope. • Irrigation Details: • Command Area (ha), Irrigable Area (ha), and Number of Turnouts. • Operational Features: • Offtake regulator dimensions, chainage (km), invert levels, and design discharge (m³/s). • Water Levels: • Full Supply Level (mPWD), Crest Level (mPWD), and Crest Width (m). 3. Geographical Context: • Data pertains to canal networks typically used for irrigation and flood control systems. This dataset is valuable for: • Irrigation Network Analysis: • Evaluation of canal capacities and structural efficiency. • Water Resource Management: • Optimization of water delivery and irrigation coverage. • Hydrodynamic Modeling: • Integration into simulation models for predicting water flow and sediment transport. • Engineering Design: • Assessment of existing canal structures for maintenance and upgrading.
Files
Steps to reproduce
Steps to Reproduce the “Canal_Structures.xlsx” Dataset To recreate or reproduce the “Canal_Structures.xlsx” dataset, follow these structured steps: 1. Data Collection 1. Field Surveys: • Conduct on-site measurements of canal structures using surveying equipment (e.g., total stations, leveling instruments). • Record canal lengths, bed widths, top widths, invert levels, crest levels, and side slopes. 2. Irrigation Network Assessment: • Use Geographic Information Systems (GIS) to map the command area and irrigable area of each canal segment. • Determine the number of turnouts and their locations using engineering schematics. 3. Regulator Specifications: • Collect data on offtake regulator dimensions from irrigation project blueprints or construction documents. 4. Hydraulic Parameters: • Measure water levels (e.g., Full Supply Level and Crest Level) using standard hydrological methods. • Obtain discharge capacity (m³/s) through flow measurement devices or design documents. 2. Data Processing 1. Compile Raw Data: • Aggregate field survey data, GIS outputs, and regulator specifications into a unified spreadsheet. 2. Data Cleaning: • Check for missing or inconsistent values and address them using engineering estimations or domain expertise. • Standardize units for all measurements (e.g., meters for lengths, hectares for areas, m³/s for discharge). 3. Validation: • Cross-check collected data against design documents or historical records for accuracy and consistency. 3. Data Integration 1. Organize the data into columns corresponding to key attributes such as: • Canal ID, Length (km), Bed Width (m), Top Width (m), Bed Level (mPWD), Full Supply Level (mPWD), etc. 2. Ensure logical relationships between attributes, such as matching command area sizes with the canal segments that supply them. 4. Tools and Software 1. Survey Tools: • Total stations, GPS devices, and leveling instruments for field measurements. 2. GIS Software: • Tools like ArcGIS or QGIS to delineate command areas and map canal networks. 3. Spreadsheet Tools: • Use Excel or Google Sheets for compiling, cleaning, and organizing the data. 5. Validation and Quality Control 1. Conduct random sampling of canal segments to verify field measurements against design documents. 2. Perform consistency checks, ensuring that: • Total command area equals the sum of individual canal segment command areas. • Hydraulic parameters align with regulator and canal design specifications. 6. Dataset Storage 1. Save the processed data in Excel format (.xlsx) for compatibility and easy sharing. 2. Include metadata to describe the variables, measurement methods, and data sources. Additional Notes • To ensure reproducibility, detailed logs of measurement procedures, tools used, and data sources should be maintained. • A map or schematic of the canal network may enhance understanding and usability of the dataset.