Irrigation Modeling Articles & Analysis
23 articles found
Precision Irrigation: By providing real-time data on soil moisture levels, farmers can precisely tailor irrigation schedules to the specific needs of their crops. ...
In this study, a non-linear optimization model was used to calculate the maximum WP in the Qazvin plain irrigation network. The proposed model was applied to six different water supply scenarios including 100% and 90%, 80%, 70%, 60%, and 50% of full irrigation volume. ...
The motivation of this study is to provide a better understanding of how reducing irrigation subsidies impacts farming sectors and rural households. We apply a Computable General Equilibrium model to simulate the irrigation water and irrigation subsidy in 16 provinces. The results show that reducing irrigation ...
Climate change will affect the water balance of irrigated agriculture. Therefore, farmers and irrigation managers should consider adapting to new scenarios. Changes in water demands in a Mexican irrigation district were studied using an irrigation-scheduling model. The impact on water demands of two potential ...
One of the main problems in water management of irrigation systems is the control of the equitable distribution of water among different orifice offtakes. ...
We measure the Chinese drought of 2000 based on a static computable general equilibrium model of China's macroeconomy, which describes the relationships between drought, agricultural production, and rural households' welfare from an economic perspective. In the model, the irrigation water inputs of the 16 regions of China are estimated and ...
The impact of potential future climate change scenarios on the irrigation water requirements (IRRs) of two major agricultural crops (coffee and seed corn) in Hawai'i was studied using the Irrigation Management System (IManSys) model. In addition to IRRs calculations, IManSys calculates runoff, deep percolation, canopy interception, and ...
Water, one of the most crucial inputs of irrigation, should be utilized judiciously to identify appropriate strategies for planning and management of irrigated farmland. The present study was conducted for the crop maize (Zea mays), grown mainly in the rabi-season (July–October), to evaluate the irrigation water requirements in the temperate region of Kashmir Valley, India during the ...
Considerable amounts of water can be saved by automating irrigation canals. The design of most of the practical automatic controllers rely on a simplified model of the irrigation canal. This model can be obtained from measured data (identification) or can be formulated (white box models) assuming ...
An attempt has been made to calculate the water requirement of crops in different agro-ecological zones of Palakkad district in humid tropical Kerala using the CROPWAT 8.0 model. Sensitivity analysis was done for a simulated rise in temperature from 0.5 to 3.0 °C keeping other parameters the same. The analysis showed that the total crop water requirement of all the major ...
The determination of irrigation demand is typically based on crop modelling using a long historic record of local daily weather data. ...
The conjunctive management model of water resources is developed by means of dynamically coupling a large-scale hydrological model with an optimal allocation model. ...
Filled with seawater, Lake Eyre can be used as a reservoir for irrigation in biosaline agriculture. Elementary mathematical models for the proposed tasks and rough macro–economical estimations are presented. ...
We describe the development of a regional computable general equilibrium (CGE) model for the analysis of issues concerning water supply and (re)allocation in Canterbury, New Zealand. ...
Simulated lint yield decreased as irrigation decreased; however, yields for similar irrigation totals increased with increasing irrigation capacity. Simulated yields for cotton irrigated > 8 wk did not differ among irrigation capacities, but cotton irrigated at 5.0 mm d–1 maintained yield with ...
Accurate crop development models are important tools in evaluating the effects of water deficits on crop yield or productivity. The FAO AquaCrop model predicts crop productivity, water requirement, and water use efficiency (WUE) under water-limiting conditions. ...
Abstraction of surface water for irrigation poses a serious threat to the sustainability of floodplain fisheries in Bangladesh. Previous fisheries research has accorded a central role to dry-season (Rabi) water maintenance in safeguarding the health of the fishery, but rice irrigation water abstraction dries up water bodies at a rapid rate. Having reviewed ...
The objective of this study is to quantify soil surface evaporation under micro-scale advection in drip-irrigated fields. A numerical model for estimating soil surface evaporation under micro-scale advection, assuming drip-irrigated fields, is introduced. ...
Regional groundwater vulnerability maps to indicate the impact of leaching of chemicals under different management scenarios were prepared for the Rattaphum Catchment using several leaching models and GIS techniques. The Attenuation Factor (AF) model was used to simulate the leaching potential of several pesticides for selected soils in the catchment under ...
Regional groundwater vulnerability maps to indicate the impact of leaching of chemicals under different management scenarios were prepared for the Rattaphum Catchment using several leaching models and GIS techniques. The Attenuation Factor (AF) model was used to simulate the leaching potential of several pesticides for selected soils in the catchment under ...