Coronal Emission Measures and Abundances for Moderately Active K Dwarfs Observed by Chandra

We have used Chandra to resolve the nearby 70 Oph (K0 V+K5 V) and 36 Oph (K1 V+K1 V) binary systems for the first time in X-rays. The LETG/HRC-S spectra of all four of these stars are presented and compared with an archival LETG spectrum of another moderately active K dwarf, Epsilon Eri. Coronal densities are estimated from O VII line ratios and emission measure distributions are computed for all five of these stars. We see no substantial differences in coronal density or temperature among these stars, which is not surprising considering that they are all early K dwarfs with similar activity levels. However, we do see significant differences in coronal abundance patterns. Coronal abundance anomalies are generally associated with the first ionization potential (FIP) of the elements. On the Sun, low-FIP elements are enhanced in the corona relative to high-FIP elements, the so-called "FIP effect." Different levels of FIP effect are seen for our stellar sample, ranging from 70 Oph A, which shows a prominent solar-like FIP effect, to 70 Oph B, which has no FIP bias at all or possibly even a weak inverse FIP effect. The strong abundance difference exhibited by the two 70 Oph stars is unexpected considering how similar these stars are in all other respects (spectral type, age, rotation period, X-ray flux). It will be difficult for any theoretical explanation for the FIP effect to explain how two stars so similar in all other respects can have coronae with different degrees of FIP bias. Finally, for the stars in our sample exhibiting a FIP effect, a curious difference from the solar version of the phenomenon is that the data seem to be more consistent with the high-FIP elements being depleted in the corona rather than a with a low-FIP enhancementComment: 35 pages, 8 figures, AASTEX v5.0 plus EPSF extensions in mkfig.sty; accepted by Ap

Preferences for Domestic Water Services in the Middle Olifants Sub-Basin of South Africa

Using household survey data, this study investigates preferences for domestic water services in the Middle Olifants sub-basin of South Africa. Water is a relatively scarce resource in South Africa that is distributed unevenly both geographically and seasonally as well as sociopolitically. For a water management addressing the policy objectives of efficiency in use, equity in access and benefits and long-term sustainability, economic valuation of the different water uses is required. In order to detect households' preferences, a choice experiment of the various water services was conducted. Results suggested the presence of preference heterogeneity and therefore, a latent class model was applied, dividing households into homogeneous groups according to their preferences. Four distinct groups of households could be identified which differ significantly in terms of their socio-economic characteristics, their attitudes toward pricing of water and their satisfaction with current water service levels. Willingness to pay (WTP) estimates of different water service characteristics in all groups indicate that households are willing to pay higher prices for a better and more reliable water services provision. But the amount households are willing to pay differs among the groups. This information is helpful for policy-makers to enable the design of water services in the Middle Olifants according to preferences of local households. Besides, WTP estimation can provide a basis for setting water tariffs

§Royal Society for the Protection of Birds, The Lodge, Sandy,

Abstract. This work was undertaken to devise a technique to measure the height of crops in farmland � elds through remote sensing. Crop height is a useful spatial variable which, when measured by ground-based manual survey, has proven to be an important predictor of bird species population. An airborne scanning laser system capable of measuring topography to a height accuracy of better than 10 cm was used to acquire height data over a region of farmland near Oxford, UK. A scanning laser was pulsed from an aircraft at the ground, measuring the time between transmission and receipt of the last signi � cant return signal. DiŒerential Geographical Positioning System (GPS) and onboard attitude sensors were combined with these delay times to construct a set of spot heights through the region. Crop height was also measured from the ground. Pulses were returned from mainly within the crop, rather than predominantly the canopy or ground, so an algorithm to measure the variation of the returned height, after detrending the heights for topography, was developed. A simple relationship was found between the mean crop height and the standard deviation of detrended return heights within a � eld. This relationship could be used to derive crop height from Light Detection and Ranging (LiDAR) data with an accuracy better than 10 cm. 1