Dynamic Modelling of Material Flows and Sustainable Resource Use: Case Studies in Regional Metabolism and Space Life Support Systems

Sustainable resource use is one of the most important environmental issues of our times. It is closely related to discussions on the 'peaking' of various natural resources serving as energy sources, agricultural nutrients, or metals indispensable in high-technology applications. Although the peaking theory remains controversial, it is commonly recognized that a more sustainable use of resources would alleviate negative environmental impacts related to resource use. In this thesis, sustainable resource use is analysed from a practical standpoint, through several different case studies. Four of these case studies relate to resource metabolism in the Canton of Geneva in Switzerland: the aim was to model the evolution of chosen resource stocks and flows in the coming decades. The studied resources were copper (a bulk metal), phosphorus (a vital agricultural nutrient), and wood (a renewable resource). In addition, the case of lithium (a critical metal) was analysed briefly in a qualitative manner and in an electric mobility perspective. In addition to the Geneva case studies, this thesis includes a case study on the sustainability of space life support systems. Space life support systems are systems whose aim is to provide the crew of a spacecraft with the necessary metabolic consumables over the course of a mission. Sustainability was again analysed from a resource use perspective. In this case study, the functioning of two different types of life support systems, ARES and BIORAT, were evaluated and compared; these systems represent, respectively, physico-chemical and biological life support systems. Space life support systems could in fact be used as a kind of 'laboratory of sustainability' given that they represent closed and relatively simple systems compared to complex and open terrestrial systems such as the Canton of Geneva. The chosen analysis method used in the Geneva case studies was dynamic material flow analysis: dynamic material flow models were constructed for the resources copper, phosphorus, and wood. Besides a baseline scenario, various alternative scenarios (notably involving increased recycling) were also examined. In the case of space life support systems, the methodology of material flow analysis was also employed, but as the data available on the dynamic behaviour of the systems was insufficient, only static simulations could be performed. The results of the case studies in the Canton of Geneva show the following: were resource use to follow population growth, resource consumption would be multiplied by nearly 1.2 by 2030 and by 1.5 by 2080. A complete transition to electric mobility would be expected to only slightly (+5%) increase the copper consumption per capita while the lithium demand in cars would increase 350 fold. For example, phosphorus imports could be decreased by recycling sewage sludge or human urine; however, the health and environmental impacts of these options have yet to be studied. Increasing the wood production in the Canton would not significantly decrease the dependence on wood imports as the Canton's production represents only 5% of total consumption. In the comparison of space life support systems ARES and BIORAT, BIORAT outperforms ARES in resource use but not in energy use. However, as the systems are dimensioned very differently, it remains questionable whether they can be compared outright. In conclusion, the use of dynamic material flow analysis can provide useful information for policy makers and strategic decision-making; however, uncertainty in reference data greatly influences the precision of the results. Space life support systems constitute an extreme case of resource-using systems; nevertheless, it is not clear how their example could be of immediate use to terrestrial systems.

Developing an Effective Construction Training Program for American Supervisors with Hispanic Craft Workers, 2005

In the construction industry, Hispanics have the highest rate of fatal work injuries among the racial/ethnic groups, and productivity in the field is limited by the language barrier between Hispanic workers and their supervisors and the level of education of many Hispanic craft workers. This research developed a training program designed to facilitate the integration process between American supervisors and Hispanic craft workers in a practical and cost-effective way, thus improving productivity and lowering fatality rates. The Iowa State University research team conducted a survey of 38 American supervisors, representing 14 Iowa construction companies. Survey results confirm that communication is the main problem experienced by American supervisors in the job site. Many American supervisors also use or depend on a link-person (an individual who interprets tasks to the rest of the Hispanic crew) to communicate to the Hispanic crew members. Research findings show that language differences affect productivity and workplace safety in the construction industry. Additionally, the educational levels of Hispanic workers indicate that they may not have the literacy skills necessary to understand training materials. This research developed two training courses designed to expand the Spanish communication skills of American supervisors. The research team modified the English-as-a-second-language course developed in Phase I into the Spanish as a Second Language (SSL) Survival Course. A series of technical training courses were also developed, titled Concrete Pavement Construction Basics (CPCB), that cover general practices in concrete pavement construction. They are much shorter and more specialized than the SSL course. The CPCB courses provide American supervisors simple and practical communication tools on a variety of topics to choose from according to their specific needs.

Cancer chronotherapeutics: experimental, theoretical, and clinical aspects.

The circadian timing system controls cell cycle, apoptosis, drug bioactivation, and transport and detoxification mechanisms in healthy tissues. As a consequence, the tolerability of cancer chemotherapy varies up to several folds as a function of circadian timing of drug administration in experimental models. Best antitumor efficacy of single-agent or combination chemotherapy usually corresponds to the delivery of anticancer drugs near their respective times of best tolerability. Mathematical models reveal that such coincidence between chronotolerance and chronoefficacy is best explained by differences in the circadian and cell cycle dynamics of host and cancer cells, especially with regard circadian entrainment and cell cycle variability. In the clinic, a large improvement in tolerability was shown in international randomized trials where cancer patients received the same sinusoidal chronotherapy schedule over 24h as compared to constant-rate infusion or wrongly timed chronotherapy. However, sex, genetic background, and lifestyle were found to influence optimal chronotherapy scheduling. These findings support systems biology approaches to cancer chronotherapeutics. They involve the systematic experimental mapping and modeling of chronopharmacology pathways in synchronized cell cultures and their adjustment to mouse models of both sexes and distinct genetic background, as recently shown for irinotecan. Model-based personalized circadian drug delivery aims at jointly improving tolerability and efficacy of anticancer drugs based on the circadian timing system of individual patients, using dedicated circadian biomarker and drug delivery technologies.

Local optima networks of hard combinatorial landscapes

Combinatorial optimization involves finding an optimal solution in a finite set of options; many everyday life problems are of this kind. However, the number of options grows exponentially with the size of the problem, such that an exhaustive search for the best solution is practically infeasible beyond a certain problem size. When efficient algorithms are not available, a practical approach to obtain an approximate solution to the problem at hand, is to start with an educated guess and gradually refine it until we have a good-enough solution. Roughly speaking, this is how local search heuristics work. These stochastic algorithms navigate the problem search space by iteratively turning the current solution into new candidate solutions, guiding the search towards better solutions. The search performance, therefore, depends on structural aspects of the search space, which in turn depend on the move operator being used to modify solutions. A common way to characterize the search space of a problem is through the study of its fitness landscape, a mathematical object comprising the space of all possible solutions, their value with respect to the optimization objective, and a relationship of neighborhood defined by the move operator. The landscape metaphor is used to explain the search dynamics as a sort of potential function. The concept is indeed similar to that of potential energy surfaces in physical chemistry. Borrowing ideas from that field, we propose to extend to combinatorial landscapes the notion of the inherent network formed by energy minima in energy landscapes. In our case, energy minima are the local optima of the combinatorial problem, and we explore several definitions for the network edges. At first, we perform an exhaustive sampling of local optima basins of attraction, and define weighted transitions between basins by accounting for all the possible ways of crossing the basins frontier via one random move. Then, we reduce the computational burden by only counting the chances of escaping a given basin via random kick moves that start at the local optimum. Finally, we approximate network edges from the search trajectory of simple search heuristics, mining the frequency and inter-arrival time with which the heuristic visits local optima. Through these methodologies, we build a weighted directed graph that provides a synthetic view of the whole landscape, and that we can characterize using the tools of complex networks science. We argue that the network characterization can advance our understanding of the structural and dynamical properties of hard combinatorial landscapes. We apply our approach to prototypical problems such as the Quadratic Assignment Problem, the NK model of rugged landscapes, and the Permutation Flow-shop Scheduling Problem. We show that some network metrics can differentiate problem classes, correlate with problem non-linearity, and predict problem hardness as measured from the performances of trajectory-based local search heuristics.

Procedimientos de exploración de entornos para la programación de operaciones en una máquina con tiempos de preparación

objetivo de minimizar el retraso total en un ambiente con preparaciones quedependen de la secuencia. Se comparan los resultados obtenidos mediante laaplicación de los procedimientos de exploración de entornos AED, ANED,Recocido Simulado, Algoritmos Genéticos, Búsqueda Tabú y GRASP alproblema planteado. Los resultados sugieren que la Búsqueda Tabú es unatécnica viable de solución que puede proporcionar buenas soluciones cuandose considera el objetivo retraso total con tiempos de preparación dependientesde la secuencia.

Tuotannon kehittäminen aihiotehtaassa

Työn tavoitteena oli kuvata Artowood Oy:ssä toteutettu tuotannon kehittämishanke sekä arvioida sen nykyistä tuotantoa. Lisäksi käsiteltiin yrityksen asemaa alihankintayrityksenä. Teoriaosuudessa verrattiin eri tuotannonohjausteorioita, käsiteltiin tuotannon ajoitukseen liittyviä kysymyksiä sekä paneuduttiin tuotannon kehittämiseen ja laatuun. Johtopäätöksenä, kehitetty tuotannonohjausjärjestelmä on toimiva nykyisissä olosuhteissa, mutta yrityksen kasvaessaon kiinnitettävä enemmän huomiota tuotannon ajoitusongelmien hallintaan. Lisäksi tuotannon laatua on joka tapauksessa kehitettävä. Artowood Oy on käynnistänyt toimenpiteet oman suoran viennin aloittamiseksi, sillä kotimaan markkinat ovat epävakaat kausivaihteluiden ja kiristyneen kilpailun seurauksena. Vientiprojektinonnistuminen on tärkeää, sillä kotimaassa on liian vähän sellaisia asiakkaita, joilla on tarve Artowood Oy:n tuotantoteknologian kannalta riittävän suurille valmistuserille.

Runkoelementtitehtaan materiaalitoimintojen kehittäminen prosessiajattelun näkökulmasta

Työn tavoitteena on ollut selvittää runkoelementtitehtaan materiaalien hankinnanorganisointi ja ohjaus nykytilanteessa. Tutkimuksessa on pyritty löytämään materiaaliprosessin kannalta toimintaa rajoittavia pullonkauloja sekä etsitty kehitystoimenpiteitä ongelmakohtiin prosessiajattelun näkökulmasta. Tarkastelun kohteena on ollut yrityksen operatiivinen materiaaliprosessi nimikkeiden tilauksesta varastointiin. Työssä on käytetty kvalitatiivista tutkimusmenetelmää ja empiirisen osuuden tiedot on hankittu haastatteluilla ja laatuohjeistuksesta. Yrityksen nykytilanne on mallinnettu prosessikaavioiden avulla, ja on selvitetty mitkä ovat prosessin tieto- ja materiaalivirrat sekä mitkä ovat tärkeimmät toiminnot materiaaliketjussa. Prosessianalyysin ja haastatteluiden pohjalta määriteltiin kehitysehdotukset prosessin suorituskyvyn tehostamiseksi. Nykytilan kartoituksen jälkeen suurimmat ongelmat materiaaliprosessissa liittyvät tilausten ajoitusten hallintaan, muutoksien vaikutukseen prosessissa sekä vastuiden ja kokonaishallinnan puuttumiseen. Ongelmat johtuvat pääosin rakennusalan projektimaisesta luonteesta. Yhdeksi kehityskohteeksi nousi myös tiedonhallinnan tehostaminen, etenkin prosessin vaiheiden automatisointi tietojärjestelmiä hyödyntäen. Toimintaan on pyritty etsimään ratkaisuja prosessiajattelun avulla, mikä osoittautui sopivaksi menetelmäksi toiminnan kehittämisessä. Tutkimuksen tuloksena syntyi kehitysehdotuksia, joiden pohjalta muodostettiin uusi materiaalien ohjauksen toimintamalli. Toimintamallissa tärkeimpänä on ennakkotiedon hyödyntäminen tilaussuunnittelun tukena. Alustavat materiaalimäärät välitetään ennakkotietona myös toimittajille, jotka voivat paremmin suunnitella omaa tuotantokapasiteettiaan. Tilausten suunnittelu tapahtuu tarkentuvasti ja lopullinen materiaalimäärä ja tarveajankohta välitetään kotiinkutsun yhteydessä. Toimintamalliin liittyy lisäksi materiaalien vastaanoton ja varastoinnin kehittäminen sekä muutoksien hallinta tietojärjestelmää paremmin hyödyntäen. Kriittisintä materiaaliprosessissa tulee olemaan prosessin tiedonhallinta ja siihen liittyvät vastuukysymykset.

Rakennusinvestointien käsittelyprosessin tehostaminen

Suomen valtionhallinnon maaliskuussa 2005 julkaisemat tuloksellisuuden tavoitteet koskettavat kaikkia hallinnonaloja. Maa- ja metsätalousministeriön ohjeistamat Työvoima- ja elinkeinokeskusten maaseutuosastot ovat yksikköjä, joita vaikuttavuus- ja tuloksellisuustavoitteet velvoittavat. Tehokasta elintarviketuotantoa ja maatalouden kustannuskehityksen hallintaa voidaan tarkastella kiinteiden tuotannontekijöiden, kuten maatalousrakennusten ja investointituilla tuetun rakentamisen, vaikuttavuuden kautta. Työn tavoitteena oli tehostaa rakennusinvestointien käsittelyprosessia: kehittää sekä tehostamisen menetelmiä että työväline toiminnan ohjaukseen maa- ja metsätalousministeriölle. Ratkaisuja etsittiin teorian ja empirian pohjalta kehitettävien käsitteistöjen ja menetelmien avulla. Teoriaosuudessa haettiin kirjallisuudesta välineitä joilla prosesseja voitaisiin analysoida, mitata ja kehittää. Prosessimallinnukset, Italian vastaavan järjestelmän tutkimus ja Suomen rakennustoimelle tehty kysely muodostavat empiirisen aineiston, jonka perusteella lopulliset tehostamisen keinot ja konstruktiot kehitettiin. Tehostamisen menetelmäksi kehitettiinaluehallinnolle sovellettu suorituskyvyn mittausjärjestelmä, panosprisma. Tuloksellisuus, vaikuttavuus ja laatu riippuvat työn tuottamisen lähtökohdista. Prosessia voidaan tehostaa kiinnittämällä huomiota tulosohjaukseen, asiakirjojen saatavuuteen ja laatuun, neuvonnan oikea-aikaiseen ajoittuvuuteen ja riittävyyteen sekä tietojärjestelmien kehittämiseen. Näiden avulla voidaan saavuttaa käsittelyprosessin aika- ja kustannussäästöjä, tukivarojen käyttöön saaminen ja hyödynnettävyys paranevat ja tukipäätöksen tuottamisen asiakaspalveluprosessi tehostuu.

Pientalon asiakaskeskeisenLVI-teknisen laatusuunnittelujärjestelmän kehittäminen

Tämä opinnäytetyö on tehty SkinnAir Oy:lle, ja se käsittelee pientalojen LVI-teknistä suunnittelua pienen suunnitteluyrityksen näkökulmasta. Nykyinen kiivas rakentamistyyli, kasvaneet asumisviihtyvyydenvaatimukset, asennusammattilaisten puute sekä jatkuvasti kohoavat vaatimukset rakennusten energiatehokkuuden parantamiseksi vaativat yhä parempia ja laadukkaampia suunnitelmia pientalojen LVI-teknisten ratkaisujen toteuttamiseksi. Suunnittelusta saatavan heikon tuottavuuden johdosta monet suunnittelutoimistot eivät ole kiinnostuneita pientalojen LVI-suunnittelusta. Tässä työssä pyritään etsimään niitä menetelmiä, joilla erityisesti pieni suunnitteluyritys kykenee parantamaankannattavuuttaan ja nostamaan palvelun laatua kyseisellä suunnittelun osa-alueella. Työ on toteutettu perehtymällä yksityiskohtaisesti suunnitteluprosessin eri vaiheisiin sekä analysoimalla näistä vaiheista saadut tulokset Työssä tunnistetaan erilaiset asiakastyypit sekä heidän tarpeensa. Asiakastarpeiden perusteellasaadaan määritettyä oikeat lähtötiedot kohteen LVI-suunnittelua varten. Työn keskeinen osa on suunnitteluprosessin etenemisen sekä suunnittelutyöhön kuuluvien tehtävien tarkastelu. Tämän tarkastelun avulla pyritään löytämään keinot, joillakyetään tehostamaan suunnitteluprosessin eri vaiheisiin liittyviä toimintoja, parantamaan palvelun laatua sekä lisäksi minimoimaan suunnitteluprosessin aikaisia kustannuksia yrityksen kannattavuuden parantamiseksi. LVI-suunnittelutyön eteneminen painottuu asiakas- ja lähtötietojen keräämiseen sekä eri välivaiheiden hyväksyttämiseen tilaajalla. Suunnittelutyöhön vaikuttavat tekijät saadaan selville jatkuvassa, ennalta hyvin aikataulutetussa asiakaskontaktissa. Asiakkaan huomioiminen suunnitteluprosessin eri vaiheissa parantaa kokonaisvaltaista asiakaspalvelua. Näin asiakkaan saama vastine rahoilleen kasvaa. Suunnittelijan kannalta turhat muutostyöt vähenevät, koska asiakas on selvillä suunnittelutyön etenemisestä. Johtopäätöksenä voidaan todeta, että hyvän suunnitteluprosessin edellytyksenä on yksityiskohtaisten lähdetietojen käyttö. Työn tuloksena ilmeni, että valmiiden, ennalta hyvin laadittujen lomakkeiden käyttäminen parantaa selkeästi suunnittelutyön tehokkuutta. Lopputuloksena syntyi jatkokehittelyä vaativa lomakepohja asiakastarpeisiin perustuvalle lähtötietolomakkeelle. Lisäksi yrityksen käyttöön on tarkoitus laatia tarvittavat tietokannat sekä valmiit asennuspiirrokset. Lopullinen tavoite on rakentaa tässä työssä kuvatuista menetelmistä kattava tietotekninen järjestelmä parantamaan sekä yrityksen kannattavuutta että suunnittelutyön laatua. Lisäksi voidaan todeta, että rakennettava järjestelmä mahdollistaa myös vaativan suunnittelutyön tuotteistamisen.

Short-term Hydropower Planning System

The Thesis gives a decision support framework that has significant impact on the economic performance and viability of a hydropower company. The studyaddresses the short-term hydropower planning problem in the Nordic deregulated electricity market. The basics of the Nordic electricity market, trading mechanisms, hydropower system characteristics and production planning are presented in the Thesis. The related modelling theory and optimization methods are covered aswell. The Thesis provides a mixed integer linear programming model applied in asuccessive linearization method for optimal bidding and scheduling decisions inthe hydropower system operation within short-term horizon. A scenario based deterministic approach is exploited for modelling uncertainty in market price and inflow. The Thesis proposes a calibration framework to examine the physical accuracy and economic optimality of the decisions suggested by the model. A calibration example is provided with data from a real hydropower system using a commercial modelling application with the mixed integer linear programming solver CPLEX.

Data-parallel computation in parallel and distributed environments

The past few decades have seen a considerable increase in the number of parallel and distributed systems. With the development of more complex applications, the need for more powerful systems has emerged and various parallel and distributed environments have been designed and implemented. Each of the environments, including hardware and software, has unique strengths and weaknesses. There is no single parallel environment that can be identified as the best environment for all applications with respect to hardware and software properties. The main goal of this thesis is to provide a novel way of performing data-parallel computation in parallel and distributed environments by utilizing the best characteristics of difference aspects of parallel computing. For the purpose of this thesis, three aspects of parallel computing were identified and studied. First, three parallel environments (shared memory, distributed memory, and a network of workstations) are evaluated to quantify theirsuitability for different parallel applications. Due to the parallel and distributed nature of the environments, networks connecting the processors in these environments were investigated with respect to their performance characteristics. Second, scheduling algorithms are studied in order to make them more efficient and effective. A concept of application-specific information scheduling is introduced. The application- specific information is data about the workload extractedfrom an application, which is provided to a scheduling algorithm. Three scheduling algorithms are enhanced to utilize the application-specific information to further refine their scheduling properties. A more accurate description of the workload is especially important in cases where the workunits are heterogeneous and the parallel environment is heterogeneous and/or non-dedicated. The results obtained show that the additional information regarding the workload has a positive impact on the performance of applications. Third, a programming paradigm for networks of symmetric multiprocessor (SMP) workstations is introduced. The MPIT programming paradigm incorporates the Message Passing Interface (MPI) with threads to provide a methodology to write parallel applications that efficiently utilize the available resources and minimize the overhead. The MPIT allows for communication and computation to overlap by deploying a dedicated thread for communication. Furthermore, the programming paradigm implements an application-specific scheduling algorithm. The scheduling algorithm is executed by the communication thread. Thus, the scheduling does not affect the execution of the parallel application. Performance results achieved from the MPIT show that considerable improvements over conventional MPI applications are achieved.

On Modelling, System Identification and Control of Servo-Systems with a Flexible Load

The present study was done with two different servo-systems. In the first system, a servo-hydraulic system was identified and then controlled by a fuzzy gainscheduling controller. The second servo-system, an electro-magnetic linear motor in suppressing the mechanical vibration and position tracking of a reference model are studied by using a neural network and an adaptive backstepping controller respectively. Followings are some descriptions of research methods. Electro Hydraulic Servo Systems (EHSS) are commonly used in industry. These kinds of systems are nonlinearin nature and their dynamic equations have several unknown parameters.System identification is a prerequisite to analysis of a dynamic system. One of the most promising novel evolutionary algorithms is the Differential Evolution (DE) for solving global optimization problems. In the study, the DE algorithm is proposed for handling nonlinear constraint functionswith boundary limits of variables to find the best parameters of a servo-hydraulic system with flexible load. The DE guarantees fast speed convergence and accurate solutions regardless the initial conditions of parameters. The control of hydraulic servo-systems has been the focus ofintense research over the past decades. These kinds of systems are nonlinear in nature and generally difficult to control. Since changing system parameters using the same gains will cause overshoot or even loss of system stability. The highly non-linear behaviour of these devices makes them ideal subjects for applying different types of sophisticated controllers. The study is concerned with a second order model reference to positioning control of a flexible load servo-hydraulic system using fuzzy gainscheduling. In the present research, to compensate the lack of dampingin a hydraulic system, an acceleration feedback was used. To compare the results, a pcontroller with feed-forward acceleration and different gains in extension and retraction is used. The design procedure for the controller and experimental results are discussed. The results suggest that using the fuzzy gain-scheduling controller decrease the error of position reference tracking. The second part of research was done on a PermanentMagnet Linear Synchronous Motor (PMLSM). In this study, a recurrent neural network compensator for suppressing mechanical vibration in PMLSM with a flexible load is studied. The linear motor is controlled by a conventional PI velocity controller, and the vibration of the flexible mechanism is suppressed by using a hybrid recurrent neural network. The differential evolution strategy and Kalman filter method are used to avoid the local minimum problem, and estimate the states of system respectively. The proposed control method is firstly designed by using non-linear simulation model built in Matlab Simulink and then implemented in practical test rig. The proposed method works satisfactorily and suppresses the vibration successfully. In the last part of research, a nonlinear load control method is developed and implemented for a PMLSM with a flexible load. The purpose of the controller is to track a flexible load to the desired position reference as fast as possible and without awkward oscillation. The control method is based on an adaptive backstepping algorithm whose stability is ensured by the Lyapunov stability theorem. The states of the system needed in the controller are estimated by using the Kalman filter. The proposed controller is implemented and tested in a linear motor test drive and responses are presented.

What to consider for applying backfilling on non-dedicated environments

The resource utilization level in open laboratories of several universities has been shown to be very low. Our aim is to take advantage of those idle resources for parallel computation without disturbing the local load. In order to provide a system that lets us execute parallel applications in such a non-dedicated cluster, we use an integral scheduling system that considers both Space and Time sharing concerns. For dealing with the Time Sharing (TS) aspect, we use a technique based on the communication-driven coscheduling principle. This kind of TS system has some implications on the Space Sharing (SS) system, that force us to modify the way job scheduling is traditionally done. In this paper, we analyze the relation between the TS and the SS systems in a non-dedicated cluster. As a consequence of this analysis, we propose a new technique, termed 3DBackfilling. This proposal implements the well known SS technique of backfilling, but applied to an environment with a MultiProgramming Level (MPL) of the parallel applications that is greater than one. Besides, 3DBackfilling considers the requirements of the local workload running on each node. Our proposal was evaluated in a PVM/MPI Linux cluster, and it was compared with several more traditional SS policies applied to non-dedicated environments.

Cartografia detallada de sòls en àrees de regadiu de Catalunya

La superfície regada a Catalunya és d'unes 260.00 ha. aproximadament, la qual constitueix el 26 % de l'àrea conreada i el 8 % de l'àrea total; tot i així, en l'àrea regada es produeix, aproximadament, el 68 % del producte final agrari. El pes econòmic de l'àrea regada, la facilitat més gran per introduir noves tecnologies amb una rendibilitat superior i la necessitat que tenen les mateixes tecnologies de disposar d'una informació de base van fer aconsellable iniciar les tasques de cartografia de sòls del Departament d'Agricultura, Ramaderia i Pesca (DARP) en les àrees indicades. La naturalesa del problema plantejat, consistent bàsicament en l'aplicació de tecnologia agrícola (programació de regs, utilització de l'aigua de reg sota condicions de salinitat-sodicitat, plans de fertilització, reg de sòls guixencs, i selecció de sòls segons l'aptitud per als cultius, etc.), i també la grandària de les explotacions i parcel·les, obliguen a disposar d'una acurada informació quantitativa i a plantejar una cartografia de sòls detallada. En aquest treball s'exposen els estudis realitzats fins ara sobre cartografia de sòls i les aplicacions que s'han efectuat o que es preveu que s'efectuaran en un termini curt. Es comenta la problemàtica sorgida en el transcurs de la realització d'aquests treballs cartogràfics, es revisen les aplicacions dutes a terme i les dificultats que s'han trobat en la transmissió i la transferència de la informació generada al sector agrari en general i als tècnics de l'Administració.

¿Turnos o demanda? En el proyecto de redes de distribución de riego a presión

Actualmente vuelve a ser viable la organización mediante turnos de redes de distribución de riego a presión gracias al desarrollo de sistemas de automáticos de telegestión. La organización por turnos supone una disminución de los caudales en la red y el consiguiente ahorro económico. En la comunicación se presentan diversas expresiones sencillas para calcular la disminución relativa de caudales conseguida mediante la organización por turnos respecto a la demanda. Dicha disminución depende del número de hidrantes abastecidos por un tramo y de la probabilidad de que los hidrantes estén abiertos. Se ha contrastado los resultados de las expresiones propuestas con datos de proyecto y se consiguen buenos ajustes. El ahorro económico obtenido con la organización por turnos respecto a la demanda se puede estimar entre un 26 y un 49 % el ahorro medio de caudales.