A high-resolution soil erosion risk map of Switzerland as strategic policy support system

Soil erosion models and soil erosion risk maps are often used as indicators to assess potential soil erosion in order to assist policy decisions. This paper shows the scientific basis of the soil erosion risk map of Switzerland and its application in policy and practice. Linking a USLE/RUSLE-based model approach (AVErosion) founded on multiple flow algorithms and the unit contributing area concept with an extremely precise and high-resolution digital terrain model (2 m × 2 m grid) using GIS allows for a realistic assessment of the potential soil erosion risk, on single plots, i.e. uniform and comprehensive for the agricultural area of Switzerland (862,579 ha in the valley area and the lower mountain regions). The national or small-scale soil erosion prognosis has thus reached a level heretofore possible only in smaller catchment areas or single plots. Validation was carried out using soil loss data from soil erosion damage mappings in the field from long-term monitoring in different test areas. 45% of the evaluated agricultural area of Switzerland was classified as low potential erosion risk, 12% as moderate potential erosion risk, and 43% as high potential erosion risk. However, many of the areas classified as high potential erosion risk are located at the transition from valley to mountain zone, where many areas are used as permanent grassland, which drastically lowers their current erosion risk. The present soil erosion risk map serves on the one hand to identify and prioritise the high-erosion risk areas, and on the other hand to promote awareness amongst farmers and authorities. It was published on the internet and will be made available to the authorities in digital form. It is intended as a tool for simplifying and standardising enforcement of the legal framework for soil erosion prevention in Switzerland. The work therefore provides a successful example of cooperation between science, policy and practice.

Managing project risk using combined analytic hierarchy process and risk map

The main purpose of the study is to develop an integrated framework for managing project risks by analyzing risk across project, work package and activity levels, and developing responses. Design/methodology/approach: The study first reviews the literature of various contemporary risk management frameworks in order to identify gaps in project risk management knowledge. Then it develops a conceptual risk management framework using combined analytic hierarchy process (AHP) and risk map for managing project risks. The proposed framework has then been applied to a 1500 km oil pipeline construction project in India in order to demonstrate its effectiveness. The concerned project stakeholders were involved through focus group discussions for applying the proposed risk management framework in the project under study. Findings: The combined AHP and risk map approach is very effective to manage project risks across project, work package and activity levels. The risk factors in project level are caused because of external forces such as business environment (e.g. customers, competitors, technological development, politics, socioeconomic environment). The risk factors in work package and activity levels are operational in nature and created due to internal causes such as lack of material and labor productivity, implementation issues, team ineffectiveness, etc. Practical implications: The suggested model can be applied to any complex project and helps manage risk throughout the project life cycle. Originality/value: Both business and operational risks constitute project risks. In one hand, the conventional project risk management frameworks emphasize on managing business risks and often ignore operational risks. On the other hand, the studies that deal with operational risk often do not link them with business risks. However, they need to be addressed in an integrated way as there are a few risks that affect only the specific level. Hence, this study bridges the gaps. © 2010 Elsevier B.V. All rights reserved.

A high-resolution map of direct and indirect connectivity of erosion risk areas to surface waters in Switzerland: A risk assessment tool for planning and policy-making

Off-site effects of soil erosion are becoming increasingly important, particularly the pollution of surface waters. In order to develop environmentally efficient and cost effective mitigation options it is essential to identify areas that bear both a high erosion risk and high connectivity to surface waters. This paper introduces a simple risk assessment tool that allows the delineation of potential critical source areas (CSA) of sediment input into surface waters concerning the agricultural areas of Switzerland. The basis are the erosion risk map with a 2 m resolution (ERM2) and the drainage network, which is extended by drained roads, farm tracks, and slope depressions. The probability of hydrological and sedimentological connectivity is assessed by combining soil erosion risk and extended drainage network with flow distance calculation. A GIS-environment with multiple-flow accumulation algorithms is used for routing runoff generation and flow pathways. The result is a high resolution connectivity map of the agricultural area of Switzerland (888,050 ha). Fifty-five percent of the computed agricultural area is potentially connected with surface waters, 45% is not connected. Surprisingly, the larger part of 34% (62% of the connected area) is indirectly connected with surface waters through drained roads, and only 21% are directly connected. The reason is the topographic complexity and patchiness of the landscape due to a dense road and drainage network. A total of 24% of the connected area and 13% of the computed agricultural area, respectively, are rated with a high connectivity probability. On these CSA an adapted land use is recommended, supported by vegetated buffer strips preventing sediment load. Even areas that are far away from open water bodies can be indirectly connected and need to be included in planning of mitigation measures. Thus, the connectivity map presented is an important decision-making tool for policy-makers and extension services. The map is published on the web and thus available for application.

Role of malnutrition and parasite infections in the spatial variation in children’s anaemia risk in Northern Angola

Anaemia has a significant impact on child development and mortality and is a severe public health problem in most countries in sub-Saharan Africa. Nutritional and infectious causes of anaemia are geographically variable and anaemia maps based on information on the major aetiologies of anaemia are important for identifying communities most in need and the relative contribution of major causes. We investigated the consistency between ecological and individual-level approaches to anaemia mapping, by building spatial anaemia models for children aged ≤15 years using different modeling approaches. We aimed to a) quantify the role of malnutrition, malaria, Schistosoma haematobium and soil-transmitted helminths (STH) for anaemia endemicity in children aged ≤15 years and b) develop a high resolution predictive risk map of anaemia for the municipality of Dande in Northern Angola. We used parasitological survey data on children aged ≤15 years to build Bayesian geostatistical models of malaria (PfPR≤15), S. haematobium, Ascaris lumbricoides and Trichuris trichiura and predict small-scale spatial variation in these infections. The predictions and their associated uncertainty were used as inputs for a model of anemia prevalence to predict small-scale spatial variation of anaemia. Stunting, PfPR≤15, and S. haematobium infections were significantly associated with anaemia risk. An estimated 12.5%, 15.6%, and 9.8%, of anaemia cases could be averted by treating malnutrition, malaria, S. haematobium, respectively. Spatial clusters of high risk of anaemia (>86%) were identified. Using an individual-level approach to anaemia mapping at a small spatial scale, we found that anaemia in children aged ≤15 years is highly heterogeneous and that malnutrition and parasitic infections are important contributors to the spatial variation in anemia risk. The results presented in this study can help inform the integration of the current provincial malaria control program with ancillary micronutrient supplementation and control of neglected tropical diseases, such as urogenital schistosomiasis and STH infection.

Role of malnutrition and parasite infections in the spatial variation in children’s anaemia risk in northern Angola

Anaemia is known to have an impact on child development and mortality and is a severe public health problem in most countries in sub-Saharan Africa. We investigated the consistency between ecological and individual-level approaches to anaemia mapping by building spatial anaemia models for children aged ≤15 years using different modelling approaches. We aimed to (i) quantify the role of malnutrition, malaria, Schistosoma haematobium and soil-transmitted helminths (STHs) in anaemia endemicity; and (ii) develop a high resolution predictive risk map of anaemia for the municipality of Dande in northern Angola. We used parasitological survey data for children aged ≤15 years to build Bayesian geostatistical models of malaria (PfPR≤15), S. haematobium, Ascaris lumbricoides and Trichuris trichiura and predict small-scale spatial variations in these infections. Malnutrition, PfPR≤15, and S. haematobium infections were significantly associated with anaemia risk. An estimated 12.5%, 15.6% and 9.8% of anaemia cases could be averted by treating malnutrition, malaria and S. haematobium, respectively. Spatial clusters of high risk of anaemia (>86%) were identified. Using an individual-level approach to anaemia mapping at a small spatial scale, we found that anaemia in children aged ≤15 years is highly heterogeneous and that malnutrition and parasitic infections are important contributors to the spatial variation in anaemia risk. The results presented in this study can help inform the integration of the current provincial malaria control programme with ancillary micronutrient supplementation and control of neglected tropical diseases such as urogenital schistosomiasis and STH infections.

Project risk management using multiple criteria decision-making technique and decision tree analysis:a case study of Indian oil refinery

This study proposes an integrated analytical framework for effective management of project risks using combined multiple criteria decision-making technique and decision tree analysis. First, a conceptual risk management model was developed through thorough literature review. The model was then applied through action research on a petroleum oil refinery construction project in the Central part of India in order to demonstrate its effectiveness. Oil refinery construction projects are risky because of technical complexity, resource unavailability, involvement of many stakeholders and strict environmental requirements. Although project risk management has been researched extensively, practical and easily adoptable framework is missing. In the proposed framework, risks are identified using cause and effect diagram, analysed using the analytic hierarchy process and responses are developed using the risk map. Additionally, decision tree analysis allows modelling various options for risk response development and optimises selection of risk mitigating strategy. The proposed risk management framework could be easily adopted and applied in any project and integrated with other project management knowledge areas.

Analysis and estimative of schistosomiasis prevalence for the state of Minas Gerais, Brazil, using multiple regression with social and environmental spatial data

The aim of this work is to establish a relationship between schistosomiasis prevalence and social-environmental variables, in the state of Minas Gerais, Brazil, through multiple linear regression. The final regression model was established, after a variables selection phase, with a set of spatial variables which contains the summer minimum temperature, human development index, and vegetation type variables. Based on this model, a schistosomiasis risk map was built for Minas Gerais.

A geoprocessing approach for studying and controlling schistosomiasis in the state of Minas Gerais, Brazil

Geographical information systems (GIS) are tools that have been recently tested for improving our understanding of the spatial distribution of disease. The objective of this paper was to further develop the GIS technology to model and control schistosomiasis using environmental, social, biological and remote-sensing variables. A final regression model (R² = 0.39) was established, after a variable selection phase, with a set of spatial variables including the presence or absence of Biomphalaria glabrata, winter enhanced vegetation index, summer minimum temperature and percentage of houses with water coming from a spring or well. A regional model was also developed by splitting the state of Minas Gerais (MG) into four regions and establishing a linear regression model for each of the four regions: 1 (R² = 0.97), 2 (R² = 0.60), 3 (R² = 0.63) and 4 (R² = 0.76). Based on these models, a schistosomiasis risk map was built for MG. In this paper, geostatistics was also used to make inferences about the presence of Biomphalaria spp. The result was a map of species and risk areas. The obtained risk map permits the association of uncertainties, which can be used to qualify the inferences and it can be thought of as an auxiliary tool for public health strategies.

Regional Approach to Landslide Interpretation and Repair, TR-430, 2001

The objective of this report is to provide Iowa county engineers and highway maintenance personnel with procedures that will allow them to efficiently and effectively interpret and repair or avoid landslides. The research provides an overview of basic slope stability analyses that can be used to diagnose the cause and effect associated with a slope failure. Field evidence for identifying active or potential slope stability problems is outlined. A survey of county engineers provided data for presenting a slope stability risk map for the state of Iowa. Areas of high risk are along the western border and southeastern portion of the state. These regions contain deep to moderately deep loess. The central portion of the state is a low risk area where the surficial soils are glacial till or thin loess over till. In this region, the landslides appear to occur predominately in backslopes along deeply incised major rivers, such as the Des Moines River, or in foreslopes. The south-central portion of the state is an area of medium risk where failures are associated with steep backslopes and improperly compacted foreslopes. Soil shear strength data compiled from the Iowa DOT and consulting engineers files are correlated with geologic parent materials and mean values of shear strength parameters and unit weights were computed for glacial till, friable loess, plastic loess and local alluvium. Statistical tests demonstrate that friction angles and unit weights differ significantly but in some cases effective stress cohesion intercept and undrained shear strength data do not. Moreover, effective stress cohesion intercept and undrained shear strength data show a high degree of variability. The shear strength and unit weight data are used in slope stability analyses for both drained and undrained conditions to generate curves that can be used for a preliminary evaluation of the relative stability of slopes within the four materials. Reconnaissance trips to over fifty active and repaired landslides in Iowa suggest that, in general, landslides in Iowa are relatively shallow [i.e., failure surfaces less than 6 ft (2 m) deep] and are either translational or shallow rational. Two foreslope and two backslope failure case histories provide additional insights into slope stability problems and repair in Iowa. These include the observation that embankment soils compacted to less than 95% relative density show a marked strength decrease from soils at or above that density. Foreslopes constructed of soils derived from shale exhibit loss of strength as a result of weathering. In some situations, multiple causes of instability can be discerned from back analyses with the slope stability program XSTABL. In areas where the stratigraphy consists of loess over till or till over bedrock, the geologic contracts act as surfaces of groundwater accumulation that contribute to slope instability.

Kansainvälisen suunnitteluprojektin malliproseduuri ja riskit - Case Viro

Useissa suomalaisissa rakennus- tai suunnitteluyrityksissä on selkeät tavoitteet ja odotukset liiketoiminnan kasvulle. Kasvun mahdollisuudet kotimarkkinoilla ovat rajalliset. Liiketoiminnan kasvua on haettava kotimarkkinoiden ulkopuolelta.Liiketoiminnan kasvua haettaessa alan yritykset ovat nopeasti kansainvälistyneet ja etabloituneet lähialueille. Erityisesti etabloitumista on tapahtunut Baltiaan, Viroon. Heräte tämän työn tekemiseen syntyi case-yrityksentoimenpiteistä kansainväistymisessä ja etabloitumisen aiheuttamasta oletettua suuremmasta kustannusten kehittymisestä. Tutkimuksella ja toimenpiteillä tuetaan etabloitumiskehitystä ja parannetaan liiketoimintaprojektin kustannustehokkuutta. Tutkimuksen tavoitteena oli case-yrityksen toimitusprosessin kuvaaminen, suositeltavan toimitusmallin rakentaminen liiketoimintaprojektille ja kohdemaan riskien kuvaaminen projektiriskikartalle. Kansainvälisen projektiliiketoiminnan erityispiirteitä ovat toimintaympäristön ja asiakkaiden erilaisuus, erilaiset pelisäännöt ja tavat toimia, erilainen kulttuuri ja arvot, tuntematon markkinoiden kysyntä- ja tarjontatilanne. Kansainvälisessä projektiliiketoiminnassa joudumme sopeutumaan ja sopeuttamaan totuttua toimintaamme toisenlaisiin olosuhteisiin. Toisenlaisista olosuhteista johtuen kotimarkkinoille ja kotimaisiin asiakastoimituksiin laadittuun toimintajärjestelmään kuvattu prosessimalli ei sellaisenaan ole toimiva. Samanaikaisesti riskikartta muodostuu kohdemaasta johtuen hyvin erilaiseksi. Tutkimuksen lähtökohta oli toisenlaisesta markkinasta, valituista toimitusprojekteista ja kokemuksesta oppiminen. Tutkimuksen tuloksena rakentui liiketoimintaprojektimalli, joka on selkeästivaiheistettu, roolitettu ja vastuutettu. Lisäksi toisenlaisista markkinoista ja projektimallista johtuen kuvattiin kohdemaan projektiriskikartta. Tutkimuksessa kuvattu liiketoimintaprojektimalli ja kohdemaan mukainen projektiriskikartta toimivat yrityksen seuraavana kehitysaskeleena toiminnan vakauttamisessa. Henkilöstön roolia ja kumppanuuksia tulee kuitenkin jatkossa tarkastella. Työn tuloksena syntyi yksittäisen yrityksen liiketoimintaprojektimallin projektiosien ja roolien kuvaus sekä riskikartta. Työn tuloksen arvioidaan selkeyttävän yrityksen liiketoimintaa ja osaltaan varmistavan yrityksen kansainvälisen liiketoiminnan tavoitteiden saavuttamista.

Aineettomien riskien hallinta – case Itä-Suomen Biopankki

Aineeton pääoma nähdään organisaation keskeisenä kilpailutekijänä ja voimavarana. Se voi kuitenkin joissain tilanteissa olla organisaatiolle myös rasite tai jopa menestymistä heikentävä tekijä. Tutkimuksen tavoitteena oli laatia biopankin riskienhallinnalle malli, joka huomioi toimintaan vaikuttavat aineettomat riskitekijät ja toimii strategisena johtamisen ja toiminnan kehittämisen työvälineenä. Tutkimus toteutettiin tapaustutkimuksena, jossa käytettiin konstruktiivista tutkimusotetta. Biopankille luotiin konstruktio, riskienhallintamalli, jolla pyrittiin ratkaisemaan reaalimaailman ongelma ja samalla luomaan kontribuutiota tieteenalalle. Biopankki on uudentyyppinen organisaatio, joka kerää, hallinnoi ja säilyttää biologisia ihmisperäisiä näytteitä ja niihin liittyviä tietoja tulevaa tutkimusta varten. Toiminnan riskien taustasyyt ovat usein aineettomia, kuten toimintakulttuuri, asenne, osaaminen tai motivaatio. Tutkimuksessa löydettiin uusia biopankin toimintaan kytkeytyviä aineettomia riskejä koko aineettoman pääoman alueelta ja määriteltiin riskitasoihin perustuva lähestymistapa riskien hallintaan. Konstruktio aineettomien riskien hallintamalliksi sai selkeää vahvistusta tutkimuksen aineistosta, ja se voi toimia organisaation kehittämisen pohjana. Riskikartan luominen ja riskien arviointi ovat tekohetken poikkileikkauksia tilanteesta. Organisaation toiminta ja siihen kohdistuvat riskit ja mahdollisuudet muuttuvat ja kehittyvät. Riskien tunnistaminen lisää tietoa organisaatiosta ja sen toimintaympäristöstä, mikä luo puitteet myös uusien mahdollisuuksien tunnistamiselle. Sopivan riskienhallintamallin avulla voidaan löytää kilpailuetua suhteessa muihin organisaatioihin. Kilpailuetuna voi toimia myös muita parempi riskinkantokyky esimerkiksi toiminnan joustavuuden kautta.

Calibration of uncertain flood inundation models using remotely sensed water levels

A traditional method of validating the performance of a flood model when remotely sensed data of the flood extent are available is to compare the predicted flood extent to that observed. The performance measure employed often uses areal pattern-matching to assess the degree to which the two extents overlap. Recently, remote sensing of flood extents using synthetic aperture radar (SAR) and airborne scanning laser altimetry (LIDAR) has made more straightforward the synoptic measurement of water surface elevations along flood waterlines, and this has emphasised the possibility of using alternative performance measures based on height. This paper considers the advantages that can accrue from using a performance measure based on waterline elevations rather than one based on areal patterns of wet and dry pixels. The two measures were compared for their ability to estimate flood inundation uncertainty maps from a set of model runs carried out to span the acceptable model parameter range in a GLUE-based analysis. A 1 in 5-year flood on the Thames in 1992 was used as a test event. As is typical for UK floods, only a single SAR image of observed flood extent was available for model calibration and validation. A simple implementation of a two-dimensional flood model (LISFLOOD-FP) was used to generate model flood extents for comparison with that observed. The performance measure based on height differences of corresponding points along the observed and modelled waterlines was found to be significantly more sensitive to the channel friction parameter than the measure based on areal patterns of flood extent. The former was able to restrict the parameter range of acceptable model runs and hence reduce the number of runs necessary to generate an inundation uncertainty map. A result of this was that there was less uncertainty in the final flood risk map. The uncertainty analysis included the effects of uncertainties in the observed flood extent as well as in model parameters. The height-based measure was found to be more sensitive when increased heighting accuracy was achieved by requiring that observed waterline heights varied slowly along the reach. The technique allows for the decomposition of the reach into sections, with different effective channel friction parameters used in different sections, which in this case resulted in lower r.m.s. height differences between observed and modelled waterlines than those achieved by runs using a single friction parameter for the whole reach. However, a validation of the modelled inundation uncertainty using the calibration event showed a significant difference between the uncertainty map and the observed flood extent. While this was true for both measures, the difference was especially significant for the height-based one. This is likely to be due to the conceptually simple flood inundation model and the coarse application resolution employed in this case. The increased sensitivity of the height-based measure may lead to an increased onus being placed on the model developer in the production of a valid model

Analysis Of Semi-Distributed And Global Hydrological Models In The Central Tropical Basins Of The Gulf Of Mexico To The Effects Of Extreme Hydrometeorological Phenomena

In the last years extreme hydrometeorological phenomena have increased in number and intensity affecting the inhabitants of various regions, an example of these effects are the central basins of the Gulf of Mexico (CBGM) that they have been affected by 55.2% with floods and especially the state of Veracruz (1999-2013), leaving economic, social and environmental losses. Mexico currently lacks sufficient hydrological studies for the measurement of volumes in rivers, since is convenient to create a hydrological model (HM) suited to the quality and quantity of the geographic and climatic information that is reliable and affordable. Therefore this research compares the semi-distributed hydrological model (SHM) and the global hydrological model (GHM), with respect to the volumes of runoff and achieve to predict flood areas, furthermore, were analyzed extreme hydrometeorological phenomena in the CBGM, by modeling the Hydrologic Modeling System (HEC-HMS) which is a SHM and the Modèle Hydrologique Simplifié à I'Extrême (MOHYSE) which is a GHM, to evaluate the results and compare which model is suitable for tropical conditions to propose public policies for integrated basins management and flood prevention. Thus it was determined the temporal and spatial framework of the analyzed basins according to hurricanes and floods. It were developed the SHM and GHM models, which were calibrated, validated and compared the results to identify the sensitivity to the real model. It was concluded that both models conform to tropical conditions of the CBGM, having MOHYSE further approximation to the real model. Worth mentioning that in Mexico there is not enough information, besides there are no records of MOHYSE use in Mexico, so it can be a useful tool for determining runoff volumes. Finally, with the SHM and the GHM were generated climate change scenarios to develop risk studies creating a risk map for urban planning, agro-hydrological and territorial organization.

A percepção dos riscos na atividade pericial: um estudo de caso, considerando a cultura da organização com um breve olhar fenomenológico à gestão

A pesquisa objetivou analisar e compreender, considerando os aspectos culturais da organização, como os servidores do Instituto de Criminalística percebem os riscos em seus ambientes interno e externo. A integração das dimensões investigadas (cultura, risco, percepção e gestão) a última sob um breve olhar fenomenológico, possibilitou desvelar até que ponto os valores da organização policial interferem na percepção dos riscos, adicionando uma contribuição às escassas publicações sobre o tema. Em busca da cultura da organização policial, uma incursão histórica esquadrinhou a linhagem da polícia e da Criminalística. No caminho metodológico, deparou-se com raras publicações sobre o tema, demandando um desenho específico para o estudo de caso, considerando o seu contexto atual, em caráter exploratório sobre o foco investigado. Uma abordagem qualitativa, acompanhada de dados estatísticos obtidos na própria instituição, favoreceu a compreensão do problema, envolvendo valores e riscos. Foram desenhadas planilhas ajustadas à realidade da unidade e orientadas aos gestores das seções internas e externas, configurando um mapa de risco do Instituto, resultando em um documento, sem precedentes, tipológico dos riscos na atividade pericial. Levantamento bibliográfico, documental, entrevistas e questionários, garantiram integridade à pesquisa. Em termos práticos, as identificações dos riscos (incluindo o mapa) e os esclarecimentos sobre a cultura, favorecerão, aos administradores, a programação de ações de gestão, visando à redução de instabilidades e tensões que contribuem para a ocorrência de acidentes e perdas no âmbito da criminalística. Concluiu-se, que a percepção e a própria gestão dos riscos são sensíveis às influências de valores culturais, exigindo dos gestores e administrados, em ação participativa, a construção de um ambiente redutor de instabilidades e tensões com a relevância do humano cuja essencialidade representou a senda de partida, de chegada e para retomada, na gestão organizacional.

Mapeamento de áreas de risco à saúde pública por meio de métodos geoestatísticos

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)