Agricultural Water Management Research Trends by Magnus L. Sorensen, Magnus L. Srensen PDF

By Magnus L. Sorensen, Magnus L. Srensen

ISBN-10: 1604561599

ISBN-13: 9781604561593

ISBN-10: 1606924559

ISBN-13: 9781606924556

Agricultural water administration contains many themes: farm-level and local water administration, irrigation, drainage, and salinity administration of cultivated parts, assortment and garage of rainfall relating to soil houses and crops; the function of groundwater and floor water in nutrient biking, exploitation and safeguard of water assets, keep an eye on of flooding, erosion, and desertification. This e-book provides modern learn from all over the world.

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9101 2 1 0 -1 -2 -3 Prod-Dif Yield-Dif Figure 2: Absolute differences between Egyptian and Spanish Maize productions (in BT) and yields (in T/ha). Climate change will impose a new challenge to Spanish and Mediterranean irrigation areas. Improving irrigation efficiency is an imperative, although it has been recognized that much water can still be saved in Spanish irrigation systems (Playan and Mateos, 2005). , 2001; Villalobos and Fereres, 2004). , 2005). Hence, Spanish irrigated agriculture might be affordable in the future only by reducing the water consumes.

This widely used method of modelling precipitation occurrence (which generally considers two precipitation states, wet or dry, and considers conditions on the previous day only) is not always able to 20 Angel Utset Suastegui correctly simulate the maximum dry spell length. LARS-WG follows a ‘series’ approach, in which the simulation of dry and wet spell length is the first step in the weather generation process. 0 for Windows 9x/NT/2000/XP) has undergone a complete redevelopment in order to produce a robust model capable of generating synthetic weather data for a wide range of climates (Semenov and Barrow, 2002).

According to Tubiello and Ewert (2002), more than 40 assessments of climate-change impact on agriculture have been published up to now. They pointed out that generally models provided accurate results, compared to actual data. , 2003). As pointed out above, modelling tools appeared in the eighties, due to computer availability, aimed to simulate crop growth and final yields. Numerous crop growth models have been developed since them. The models can use weather data input, such as short term weather forecast, a season’s forecasted weather or climate scenarios to estimate potential or actual growth, development or yield.

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Agricultural Water Management Research Trends by Magnus L. Sorensen, Magnus L. Srensen


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