A geo-informatics approach for estimating water resources management components and their interrelationships

摘要: Abstract A remote sensing based geo-informatics approach was developed to estimate water resources management (WRM) components across a large irrigation scheme in the Indus Basin of Pakistan. The provides generalized framework for estimating range key variables and tool sustainable operation similar schemes globally. focus on use satellite data allowed quantification relationships spatial temporal scales. Variables including actual crop evapotranspiration, net gross irrigation, groundwater use, recharge, were estimated then their interrelationships explored Hakra Canal command area. Spatially distributed remotely sensed estimates evapotranspiration (ETa) rates determined using Surface Energy Balance System (SEBS) model evaluated against ground-based evaporation calculated from advection-aridity method. Analysis ETa simulations two cropping season, referred as Kharif Rabi, yielded Pearson correlation (R) values 0.69 0.84, Nash-Sutcliffe criterion (NSE) 0.28 0.63, percentage bias −3.85% 10.6% root mean squared error (RMSE) 10.6 mm 12.21 mm each respectively. For period study between 2008 2014, it that an average 0.63 mm day−1 supplied through canal demand 3.81 mm day−1. Approximately 1.86 mm day−1 abstraction region, which contributed fulfil gap supply. Importantly, combined canal, rainfall sources only met 70% requirements. As such, difference recharge discharge showed depletion around −115 mm year−1 during six year period. indicated monthly changes strongly correlated (R = 0.94) with rainfall, strength this relationship significantly (p