Features and evaluation of sea/saltwater intrusion in southern Laizhou Bay

Understanding the degree of sea/saltwater intrusion in coastal regions is of great significance to treating the intrusion and improving the environment. Based on the character analysis of the sea/saltwater intrusion, five factors were selected in the fuzzy-synthetical evaluation approach to form the index system, so as to evaluate the degree of sea/saltwater intrusion in southern Laizhou Bay. The results show that the sea/saltwater intrusion is stronger in the middle and northern areas and weaker on the sides and in southern area; currently, the intrusion is relatively serious, and the intrusion area has covered about 68.2% of the areas under study, among which the heavily intruded area is over 50%. Based on the factors analysis of the occurrence and development of sea/saltwater intrusion, the thesis proposes treatment measures.     

Spatial multi-criteria analysis for selecting potential sites for aquifer recharge via harvesting and infiltration of surface runoff in north Jordan

In (semi-)arid regions, available water resources are scarce and groundwater resources are often overused. Therefore, the option to increase available water resources by managed aquifer recharge (MAR) via infiltration of captured surface runoff was investigated for two basins in northern Jordan. This study evaluated the general suitability of catchments to generate sufficient runoff and tried to identify promising sites to harvest and infiltrate the runoff into the aquifer for later recovery. Large sets of available data were used to create regional thematic maps, which were then combined to constraint maps using Boolean logic and to create suitability maps using weighted linear combination. This approach might serve as a blueprint which could be adapted and applied to similar regions. The evaluation showed that non-committed source water availability is the most restricting factor for successful water harvesting in regions with <200 mm/a rainfall. Experiences with existing structures showed that sediment loads of runoff are high. Therefore, the effectiveness of any existing MAR scheme will decrease rapidly to the point where it results in an overall negative impact due to increased evaporation if maintenance is not undertaken. It is recommended to improve system operation and maintenance, as well as monitoring, in order to achieve a better and constant effectiveness of the infiltration activities.     

Land-surface segmentation as a method to create strata for spatial sampling and its potential for digital soil mapping

Sampling efforts are constrained by limited availability of resources. Therefore, methods to reduce the number of samples, while still achieving reasonable accuracy are needed. Land-surface segmentation (LSS) has proven a powerful technique to partition digital elevation models (DEMs) and their derivatives into relatively homogeneous areas, which can be further employed as support in soil sampling. Though topography is one of the main soil forming factors, a robust assessment of the potential of this technique to digital soil mapping (DSM) is still missing. In this study, we aimed at evaluating the potential of LSS in stratifying a landscape into relatively homogeneous areas, which can be used as strata for guiding the selection of sampling points in DSM. The experiments were carried out in two study areas where soil samples were available. Land-surface derivatives were derived from DEMs and segmented with a tool based on the multiresolution segmentation algorithm, into objects considered as homogeneous soil-landscape divisions. Thus, one sample was randomly selected within each segment from the existing sample data, based on which predictions of soil classes/sub-orders and properties, i.e. soil texture and A-horizon thickness, were made. Results were compared with predictions based on simple random sampling (SRS) and conditioned Latin hypercube (cLHS). The segmentation-based sampling (SBS) scheme performed better than SRS and cLHS schemes in predicting the A-horizon thickness, soil texture fractions and soil classes, showing a high potential of LSS in stratifying a landscape for the purposes of DSM. The novelty of this study is in the way strata are constructed, rather than in the sampling design itself. Further research is needed to demonstrate the value of a SBS design for practical use. The analyses presented here further highlight the importance of considering locally adaptive techniques in optimization of sampling schemes and predictions of soil properties.     

Traces of ancient geysers preserved in the travertine of Siwaqa,Jordan: conditions of their formation

A Pleistocene travertine quarrying on a hill in Siwaqa area, central Jordan, excavated solid, well-stratified travertine beds of about 12 m in thickness. The fabric and composition of the travertine indicate original deposition from hot spring water. At present, the area and its surrounding are devoid of any perennial water, except for periodic flood flows that collect at Siwaqa dam 4–5 km to the west of the quarry area, joining the catchment of the River Mujib. The travertine overlies combusted oil shale. The exposed hot spring travertine consists predominantly of well-bedded limestone, interrupted by horizons of chaotic angular debris, indicating ejection from below such as those produced by geysers. The article discusses the origins of the mottled and angular rock fragments, their transportation due to explosive geyser, the conditions and possible causes that produced the pressures leading to steam outbreaks and are responsible for the observed redistribution of travertine layers.     

Empirical assessment of rockfall and debris flow risk along the Karakoram Highway,Pakistan

Natural Hazards - The Karakoram Highway links north Pakistan with southwest China. It passes through unique geomorphological, geological and tectonic setting. This study focused 200-km-long section...     

Blind Source Separation for Compositional Time Series

Many geological phenomena are regularly measured over time to follow developments and changes. For many of these phenomena, the absolute values are not of interest, but rather the relative information, which means that the data are compositional time series. Thus, the serial nature and the compositional geometry should be considered when analyzing the data. Multivariate time series are already challenging, especially if they are higher dimensional, and latent variable models are a popular way to deal with this kind of data. Blind source separation techniques are well-established latent factor models for time series, with many variants covering quite different time series models. Here, several such methods and their assumptions are reviewed, and it is shown how they can be applied to high-dimensional compositional time series. Also, a novel blind source separation method is suggested which is quite flexible regarding the assumptions of the latent time series. The methodology is illustrated using simulations and in an application to light absorbance data from water samples taken from a small stream in Lower Austria.

     

Evaluation of daily precipitation in China from ECMWF and NCEP reanalyses

ＩＮＴＲＯＤＵＣＴＩＯＮＷｅａｔｈｅｒｆｏｒｅｃａｓｔｉｎｇａｓａｍａｊｏｒｓｕｂｊｅｃｔｉｎａｔｍｏｓｐｈｅｒｉｃｓｃｉｅｎｃｅｈａｓｄｅｖｅｌｏｐｅｄｓｉｎｃｅｔｈｅ 1 950’ｓｉｎｔｏａｍｏｄｅｒｎｓｃｉｅｎｃｅ .Ｎｕｍｅｒｉｃａｌｗｅａｔｈｅｒｆｏｒｅｃａｓｔｍｏｄｅｌｓａｒｅｅｘｔｅｎｓｉｖｅｌｙａｎｄｆｒｅｑｕｅｎｔｌｙｕｓｅｄｔｏｃｈｅｃｋｔｈｅｔｈｅｏｒｉｅｓ,ｒｕｌｅｏｕｔｔｈｅｏｌｄｉｎｃｏｒｒｅｃｔｏｎｅｓａｎｄｐｒｅｓｅｎｔｎｅｗｉｄｅａｓ,ａｎｄｓｕｇｇｅｓｔｍｅｔｈｏｄｓ…