How the multilateral development banks can improve their technology transfer operations for water/sanitation projects in developing countries

Based on some 60 years of consulting practice in the field of environmental/sanitary engineering, about half in the USA and other affluent industrialized countries (ICs) and half with non-affluent developing countries (DCs), the Consultant summarizes the lessons leaned on why the technology transfer (TT) operation of the Multilateral Development Banks (MDBs) and other International Assistance Agencies (IAAs) have failed to achieve effective transfer of appropriate technology to DC practicioners in the environmental/sanitary engineering field, and presents the Consultant’s recommendations on feasible measures by which MDBs can significantly improve their TT operations. Eleven specific measures are recommended, all believed to be feasible for use by MDBs, as follows: (i) post-construction monitoring of project performance, (ii) develop appropriate design criteria for key infrastructure sectors, (iii) be realistic on O&M expectations, (iv) increase infrastructure project budgets to support TT, (v) prepare appropriate technology textbooks, (vi) sponsor graduate university programs in appropriate TT, (vii) sponsor appropriate TT professional journal, (viii) furnish copies of selected 1C references to DC-ers, (ix) sponsor work-type training assignments in ICs, (x) plan TT projects as series of steps, (xi) utilize ratired IC-ers for peripatetic training in DCs.     

An Urban Diffusion Simulation Model For Carbon Monoxide

A relatively simple Gaussian-type diffusion simulation model for calculating urban carbon monoxide (CO) concentrations as a function of local meteorology and the distribution of traffic is described. The model can be used in two ways: (1) in the synoptic mode, in which hourly concentrations at one or many receptor points are calculated from historical or forecast traffic and meteorological data; and (2) in the climatological mode, in which concentration frequency distributions are calculated on the basis of long-term sequences of input data. For model evaluation purposes, an extensive field study involving meteorological and air-quality measurements was conducted during November-December 1970 in San Jose, Calif., which has an automated network to provide traffic data throughout the central business district. Model refinements made on the basis of the data from this experimental program include the addition of a street-canyon submodel to compensate for the important aerodynamic effects of buildings on CO concentrations at streetside receptors. The magnitude of these effects was underscored by the concentrations measured on opposite sides of the street in San Jose, which frequently differed by a factor of two or more. Evaluation of the revised model has shown that calculated and observed concentration frequency distributions for street-canyon sites are in good agreement. Hour-average predictions are well correlated with observations (correlation coefficient of about 0.6 to 0.7), and about 80 percent of the calculated values are within 3 ppm of the observed hour-average concentrations, which ranged as high as 16 ppm.     

Heavy metal release from different ashes during serial batch tests using water and acid

Most ashes contain a significant amount of heavy metals and when released from disposed or used ash materials, they can form a major environmental concern for underground waters. The use of water extracts to assess the easily mobilisable content of heavy metals may not provide an appropriate measure. This study describes the patterns of heavy metal release from ash materials in context with results from the German standard extraction method DIN-S4 (DIN 38 414 S4). Samples of four different ashes (municipal solid waste incineration ash, wood ash, brown coal ash and hard coal ash) were subjected to a number of serial batch tests with liquid renewal, some of which involved the addition of acid to neutralize carbonates and oxides. Release of heavy metals showed different patterns depending on the element, the type of material, the method of extraction and the type of the extractant used. Only a small fraction of the total heavy metal contents occurred as water soluble salts; of special significance was the amount of Cr released from the wood ash. The reaction time (1, 24 or 72 h between each extraction step with water) had only a small effect on the release of heavy metals. However, the release of most of the heavy metals was governed by the dissolution processes following proton inputs, indicating that pH-dependent tests such as CEN TC 292 or others are required to estimate long-term effects of heavy metal releases from ashes. Based on the chemical characteristics of ash materials in terms of their form and solubility of heavy metals, recommendations were made on the disposal or use of the four ash materials.