Lineament extraction has long been performed through extensive field mapping. Recent advances in the field of remote sensing have made possible the availability of imageries from earth observation satellites with different Spatio-temporal resolutions, paving way for new automatic, semi-automatic, and manual techniques for the extraction of natural lineaments. The study focuses on the extraction of lineaments representing tectonic fault zones; the lineaments are extracted automatically and semi-automatically/manually. Results show that indirect information about the tectonic lineaments can be derived through automatic techniques whereas, the semi-automatic techniques are more effective to directly identify them. Detailed analyses of lineaments and landslides revealed that areas near lineaments, in general, experienced higher frequency of landslides. Moreover, it is also observed that lineaments are not the only factor that affects landslide density; other parameters like slope and lithology were also found to be the controlling factors in determining the spatial landslide distribution. Lastly, some recommendations have been made based on observations.
Doklady Earth Sciences - The research work involves rock physics modeling and reservoir characterization of Suliman fold belt to sulamain fold depression. This area is a brighter zone for... 相似文献
The fifth assessment report (AR5) predicted that land temperatures would rise faster over Africa than other global averages while changes in rainfall are uncertain across Sub-Saharan Africa. These portend water availability challenges with direct impacts on agricultural production. Existing studies on yield vulnerability in Nigeria are mostly at a national scale, which is not adequate for local decision making. This study provides a spatially explicit model of Maize yield vulnerabilities across the growing areas (GA). Thereby, turning available data into actionable information to support development actions. Yield vulnerability index was constructed as a relationship among exposure, yield sensitivity and adaptive capacity. Exposure was computed as the ratio between long and short-term climatic factors. Yield sensitivities were expressed as the ratio between expected and actual yield. Adaptive capacity was captured using a combination of socio-economic proxies. The result shows that Maize yields were vulnerable to climate variability across most of the GAs. Exposure values indicate a very high level of climate variability with the northern region more exposed. Yield sensitivity ranges between ranges 0.47 and 0.95, and highest along the northern extremes, moderate sensitivities were observed across large tracts of the north-west, northeast, south-east and south–south geopolitical regions. Adaptive capacity is highly variable ranging between 0.27 and 1. Yield vulnerability ranges between 0.46 and 1.51. The general assumption of a north–south divide for yield vulnerability was invalidated. Vulnerability is more disparate beyond latitudinal differences. The model presented, creates a framework to support targeted response, and opportunity for building resilience to climate change impact for crop yield.
A model is developed for annual low flow hydrographs. Its two primary components reflect the fact that hydrologic processes
during streamflow rise (function of water input) and recession (function of basin storage) are different. Durations of periods
of rise (wet intervals) and recession (dry intervals) are modelled by discrete probability distributions — negative binomial
for dry intervals and negative binomial or modified logarithmic series for wet intervals depending on goodness of fit. During
wet intervals, the total inflow is modelled by the lognormal distribution and daily amounts are allocated according to a pattern-averaged
model. During dry intervals, the flow recedes according to a deterministic-stochastic recession model.
The model was applied to three Canadian basins with drainage area ranging from 2210 to 22000 km2 to generate 50 realizations of low flow hydrographs. The resulting two standard-error confidence band for the simulated probability
distribution of annual minimum 7-day flows enclosed the probability distribution estimated from the observed record. A sensitivity
analysis for the three basins revealed that in addition to the recession submodel, the most important submodel is that describing
seasonality. The state of the basin at the beginning of the low flow period is of marginal importance and the daily distribution
of input is unimportant. 相似文献
Integrated geoelectrical and hydrochemical surveys were used to investigate and delineate different types of groundwater in
the Kuala Selangor alluvial aquifer. Previous hydrogeological borehole investigation showed that this aquifer contains several
types of groundwater in relation to its salinity. The high salinity of the groundwater in some areas is believed to be due
to either saltwater intrusion from the nearby sea or river infiltration during high tide season. The vertical electrical sounding
(VES) method was employed to study and map the subsurface variation of resistivity in the area. For each sounding measurement,
a total spread length of 300 m was obtained with a vertical depth penetration of about 60 to 75 m. Chemical analysis of the
groundwater samples taken from both shallow and deep boreholes was carried out for the water quality determination. A total
of 45 VES stations were succesfully established along three parallel roads with a direction almost perpendicular to the coastal
line. The distance between stations varies from 1 to 2 km with a maximum length of about 60 km surveyed line. Results of the
vertical electrical soundings as well as the hydrochemistry of the groundwater samples show that the soil and groundwater
in the study area can be grouped into fresh and brackish water zones. The subsurface resisitivity sections derived from the
VES study suggest that the area is dominated by brackish soil and groundwater zones, especially in the area towards the coast.
This result appears to agree well with the groundwater pumped from boreholes scattered around in the area. Water drawn from
boreholes near the coast showed higher salinity compared to the water pumped from inland boreholes. Chloride values greater
than 250 mg/L are considered to represent the brackish zones whilst values less than 250 mg/L represents zones of fresh soil
and groundwater. 相似文献
The Galileo integrity chain depends on a number of key factors, one of which is contamination of the signal-in-space errors
with residual errors other than imperfect modelling of satellite orbits and clocks. A potential consequence of this is that
the user protection limit is driven not by the errors associated with the imperfect orbit and clock modelling, but by the
distortions induced by noise and bias in the integrity chain. These distortions increase the minimum bias the integrity chain
can guarantee to detect, which is reflected in the user protection limit. A contributor to this distortion is the inaccuracy
associated with the estimation of the offset between the Galileo sensor station (GSS) receiver clocks and the Galileo system
time (GST). This offset is termed the receiver clock synchronization error (CSE). This paper describes the research carried
out to determine both the CSE and its associated error using GPS data as captured with the Galileo System Test Bed Version
1 (GSTB-V1). In the study we simulate open access to a time datum using IGS data. Two methods are compared for determining
CSE and the corresponding uncertainty (noise) across a global network of tracking stations. The single-epoch single-station
method is an ‘averaging’ technique that uses a single epoch of data, and is carried out at individual sensor stations, without
recourse to the data from other stations. The global network solution method is also single epoch based, but uses the inversion
of a linearised model of the global system to solve for the CSE simultaneously at all GSS along with a number of other parameters
that would otherwise be absorbed into the CSE estimate in the averaging technique. To test the effectiveness of various configurations
in the two methods the estimated synchronisation errors across the GSS network (comprising 25 stations) are compared to the
same values as estimated by the International GPS Service (IGS) using a global tracking network of around 150 stations, as
well as precise orbit and satellite clock models determined by a combination of global analysis centres. The results show
that the averaging technique is vulnerable to unmodelled errors in the satellite clock offsets from system time, leading to
receiver CSE errors in the region of 12 ns (3.7 m), this value being largely driven by the satellite CSE errors. The global
network approach is capable of delivering CSE errors at the level of 1.5 ns (46 cm) depending on the number of parameters
in the linearised model. The International GNSS Service (IGS) receiver clock estimates were used as a truth model for comparative
assessment. 相似文献
This paper (the first part of two to be published in this journal) presents the process and results of a critical review of
the integrated GPS and inertial navigation system (INS) architectures, the corresponding failure modes and the existing integrity
monitoring methods. The paper concludes that tightly coupled GPS/INS systems have the highest potential for detecting slowly
growing errors (SGEs). This is due to access to pseudorange measurements and a relatively simpler configuration compared to
the other architectures. The second paper (Part II) takes this further and carries out a detailed characterisation of the
performance of the current integrity algorithms for tightly coupled systems and develops a new algorithm that detects SGEs
faster than the current methods. 相似文献