The impacts of severe droughts on human activities, terrestrial ecosystems, and hydrologic systems are wide ranging and easily discernible. Because these impacts are felt at different times by water users, various forms of drought are recognized (e.g. agricultural, hydrological). The purpose of this study is to examine spatial patterns of drought in the contiguous United States on a seasonal ba...

in order to evaluate the best drought resistance indices in sugar beetgenotypes, an experiment was conducted in 2002 using a split- plot design within randomized complete block design with three replications at the research farm, shiraz-zarghan. the main plots consisted of three irrigated regimes: non stress, 75% (mid stress) and 50% (intense stress) non stress and the ten genotypes as the sub ...

Wheat improvement for drought tolerance requires reliable assessment of drought tolerance variability among segregating populations. One hundred and fifty-one F3 and F4 families of durum wheat derived from a cross between Oste-Gata (as drought tolerance) and Massara-1 (as susceptible) genotypes were evaluated both under moisture stress (E1) and non-stress (E2) field environments using a randomi...

drought is the most significant constraint for crop production in arid and semi-arid regions. in order to assess drought tolerance in fifteen rapeseed (brassica napus) cultivars using yield-based drought tolerance indices, two experiments were conducted at the research station of college of agriculture, shiraz university, shiraz, iran during 2009-2010 growing season. the cultivars were arranged...

This paper describes the application of data mining techniques in a Geo-spatial Decision Support System, which focuses on drought risk management. Association rule discovery is one of the widely used approaches in data mining. This paper highlights the rule discovery algorithms that we have developed and used for discovering useful patterns in ocean parameters and climatic indices to monitor dr...

This paper describes the application of data mining techniques in a National Drought Decision Support System, which focuses on drought risk management. Association rule discovery is one of the widely used approaches in data mining. This paper highlights the rule discovery algorithms that we have developed and used for discovering useful patterns in ocean parameters and climatic indices.

This paper presents a new drought assessment method by spatially and temporally integrating temperQ2 ature vegetation dryness index (TVDI) with regional water stress index (RWSI) based on a synergistic approach. With the aid of LANDSAT TM/ETM data, we were able to retrieve the land-use and land-cover (LULC), vegetation indices (VIs), and land surface temperature (LST), leading to the derivation...