Planning approaches for sanitation systems in peri-urban areas: a case study from Tanzania

The planning and improvement of sanitation systems represents a critical problem for low - income countries, in particular in rapid growing periurban areas. This paper illustrates the assessment of the Community - Led Urban Environmental Sanitation (CLUES) and the Sanitation Safety Planning (SSP) approaches, tested for the design of an improved sanitation system in periurban areas of Iringa Municipality, in Tanzania. The application in field of the two approaches permitted to evidence and analyse their strengths and weaknesses, and possibilities to increase their potentials with an integrated use . The experience, applied to a case study, aims to be an example of application for ractitioners dealing with sanitation planning in context showing similar characteristics

Hillslope and stream connectivity: simulation of concentration-discharge patterns using the HYDRUS model

Abstract: Nutrient concentrations and loads in streamflow are sensitive to rapidly changing stream chemistry and discharge during storms. Mechanistic models that can simulate water and solute movement at hillslope scales could be useful for predicting concentration-discharge (C-Q) patterns and thereby improve our quantitative understanding of terrestrial-aquatic linkages for targeted catchment management. Our objective was to use the HYDRUS model to represent hydro-biogeochemical processes in soils that drive seepage of water and solutes from soil profiles into streams. Specifically we compared measurements in the literature with HYDRUS outputs using two methods for simulating runoff. This model predicts runoff (R) as rainfall that is instantaneously in excess of infiltration, but it is not designed to route runoff as overland flow. Post-HYDRUS addition of seepage to runoff was used to simulate the delivery of dissolved or particulate constituents to a stream (method A). Alternatively, we demonstrated how simulations using HYDRUS could include a hypothetical layer at the top of the soil profile with extremely high porosity and hydraulic conductivity that enabled overland flow and down-slope infiltration, but in this case only dissolved constituents could be considered (method B). These methods were evaluated by comparing the simulated temporal patterns of discharge and concentration with observed patterns. The catchments considered were in Slovenia (4210 ha) and in Australia (11.9 ha). Methods A and B were shown to adequately simulate some aspects of published discharge-concentration patterns, e.g. runoff dilution or concentration effects, but the temporal patterns of discharge for both methods did not precisely match those measured at small time-steps (e.g. 15 minutes). This limitation was due mainly to inadequate simulation of the down-slope movement of runoff and down-slope infiltration of a portion of this runoff. Method A was generally more useful than method B. Despite this limitation, both methods, if used carefully, should be adequate for many purposes, especially when simulating longer time-steps. Additional hypothetical simulations illustrated the significance of soil hydraulic conductivity, soil water content, and vertical gradients in solute concentrations in soil. Two temporal types of dischargeconcentration patterns were observed; short-term hysteresis caused by runoff during and shortly after a rainfall event, and longer-term trends associated with infiltration and seepage. Clockwise and anti-clockwise hysteresis was demonstrated to be potentially due to the temporal asynchrony of peak discharge and peak concentration in runoff. Simulations also demonstrated advantages over using the more common approach of a 2-or 3-component mixing model. Our results suggest that the HYDRUS model will be useful for the mechanistic simulation of within-soil processes that are needed to predict discharge-concentration patterns at hillslope scales

Performance assessment and microbial diversity of two pilot scale multi-stage sub-surface flow constructed wetland systems

This study assessed the performance and diversity of microbial communities in multi-stage sub-surface flow constructed wetland systems (CWs). Our aim was to assess the impact of configuration on treatment performance and microbial diversity in the systems. Results indicate that at loading rates up to 100g-BOD5/m2.day, similar treatment performances can be achieved using either a 3 or 4 stage configuration. In the case of phosphorus (P), the impact of configuration was less obvious and a minimum of 80% P removal can be expected for loadings up to 10g–P/m2.day based on the performance results obtained within the first 16 months of operation. Microbial analysis showed an increased bacterial diversity in stage four compared to the first stage. These results indicate that the design and configuration of multi-stage constructed wetland systems may have an impact on the treatment performance and the composition of the microbial community in the systems, and such knowledge can be used to improve their design and performance

Calibration of a complex activated sludge model for the full-scale wastewater treatment plant

In this study, the results of the calibration of the complex activated sludge model implemented in BioWin software for the full-scale wastewater treatment plant are presented. Within the calibration of the model, sensitivity analysis of its parameters and the fractions of carbonaceous substrate were performed. In the steady-state and dynamic calibrations, a successful agreement between the measured and simulated values of the output variables was achieved. Sensitivity analysis revealed that upon the calculations of normalized sensitivity coefficient (Si,j) 17 (steady-state) or 19 (dynamic conditions) kinetic and stoichiometric parameters are sensitive. Most of them are associated with growth and decay of ordinary heterotrophic organisms and phosphorus accumulating organisms. The rankings of ten most sensitive parameters established on the basis of the calculations of the mean square sensitivity measure (δjmsqr) indicate that irrespective of the fact, whether the steady-state or dynamic calibration was performed, there is an agreement in the sensitivity of parameters

Assessing Host-Virus Codivergence for Close Relatives of Merkel Cell Polyomavirus Infecting African Great Apes

It has long been hypothesized that polyomaviruses (PyV; family Polyomaviridae) codiverged with their animal hosts. In contrast, recent analyses suggested that codivergence may only marginally influence the evolution of PyV. We reassess this question by focusing on a single lineage of PyV infecting hominine hosts, the Merkel cell polyomavirus (MCPyV) lineage. By characterizing the genetic diversity of these viruses in seven African great ape taxa, we show that they exhibit very strong host specificity. Reconciliation analyses identify more codivergence than noncodivergence events. In addition, we find that a number of host and PyV divergence events are synchronous. Collectively, our results support codivergence as the dominant process at play during the evolution of the MCPyV lineage. More generally, our results add to the growing body of evidence suggesting an ancient and stable association of PyV and their animal hosts

Persistent anthrax as a major driver of wildlife mortality in a tropical rainforest

Anthrax is a globally important animal disease and zoonosis. Despite this, our current knowledge of anthrax ecology is largely limited to arid ecosystems, where outbreaks are most commonly reported. Here we show that the dynamics of an anthrax-causing agent, Bacillus cereus biovar anthracis, in a tropical rainforest have severe consequences for local wildlife communities. Using data and samples collected over three decades, we show that rainforest anthrax is a persistent and widespread cause of death for a broad range of mammalian hosts. We predict that this pathogen will accelerate the decline and possibly result in the extirpation of local chimpanzee (Pan troglodytes verus) populations. We present the epidemiology of a cryptic pathogen and show that its presence has important implications for conservation

Quantitative monitoring of an activated sludge reactor using on-line UV-visible and near infrared spectroscopy

The performance of an activated sludge reactor can be significantly enhanced through use of continuous and real-time process-state monitoring, which avoids the need to sample for off-line analysis and to use chemicals. Despite the complexity associated with wastewater treatment systems, spectroscopic methods coupled with chemometric tools have been shown to be powerful tools for bioprocess monitoring and control. Once implemented and optimized, these methods are fast, nondestructive, user friendly, and most importantly, they can be implemented in situ, permitting rapid inference of the process state at any moment. In this work, UV-visible and NIR spectroscopy were used to monitor an activated sludge reactor using in situ immersion probes connected to the respective analyzers by optical fibers. During the monitoring period, disturbances to the biological system were induced to test the ability of each spectroscopic method to detect the changes in the system. Calibration models based on partial least squares (PLS) regression were developed for three key process parameters, namely chemical oxygen demand (COD), nitrate concentration (N-NO3−), and total suspended solids (TSS). For NIR, the best results were achieved for TSS, with a relative error of 14.1% and a correlation coefficient of 0.91. The UV-visible technique gave similar results for the three parameters: an error of ~25% and correlation coefficients of ~0.82 for COD and TSS and 0.87 for N-NO3−. The results obtained demonstrate that both techniques are suitable for consideration as alternative methods for monitoring and controlling wastewater treatment processes, presenting clear advantages when compared with the reference methods for wastewater treatment process qualification.Fundação para a Ciência e Tecnologia (FCT) - PPCDT/AMB/60141/2004, bolsa de doutoramento SFRH/BD/32614/200

Novelty Response of Wild African Apes to Camera Traps

Temperament and personality research in humans and nonhuman animals measures behavioral variation in individual, population, or species-specific traits with implications for survival and fitness, such as social status, foraging and mating success [1–5]. Curiosity and risk-taking tendencies have been studied extensively across taxa by measuring boldness and exploration responses to experimental novelty exposure [3,4,6–15]. Here, we conduct a natural field experiment using wildlife monitoring technology to test variation in the reaction of wild great apes (43 groups of naïve chimpanzees, bonobos and western gorillas, across 14 field sites in Africa) to a novel object, the camera-trap. Bonobo and gorilla groups demonstrated a stronger looking impulse towards the camera-trap device compared to chimpanzees, suggesting higher visual attention and curiosity. Bonobos were also more likely to show alarm and other fearful behaviors, although such neophobic (and conversely, neophilic) responses were generally rare. Among all three species, individuals looked at cameras longer when they were young, were associating with fewer individuals, and did not live near a long-term research site. Overall, these findings partially validate results from great ape novelty paradigms in captivity [7,8]. We further suggest that species-typical leadership styles [16] and social and environmental effects, including familiarity with humans, best explain novelty responses of wild great apes. In sum, this study illustrates the feasibility of large-scale field experiments and the importance of both intrinsic and extrinsic factors in shaping animal curiosity

PanAf20K : a large video dataset for wild ape detection and behaviour recognition

The work that allowed for the collection of the dataset was funded by the Max Planck Society, Max Planck Society Innovation Fund, and Heinz L. Krekeler. This work was supported by the UKRI CDT in Interactive AI under grant EP/S022937/1.We present the PanAf20K dataset, the largest and most diverse open-access annotated video dataset of great apes in their natural environment. It comprises more than 7 million frames across ∼20,000 camera trap videos of chimpanzees and gorillas collected at 18 field sites in tropical Africa as part of the Pan African Programme: The Cultured Chimpanzee. The footage is accompanied by a rich set of annotations and benchmarks making it suitable for training and testing a variety of challenging and ecologically important computer vision tasks including ape detection and behaviour recognition. Furthering AI analysis of camera trap information is critical given the International Union for Conservation of Nature now lists all species in the great ape family as either Endangered or Critically Endangered. We hope the dataset can form a solid basis for engagement of the AI community to improve performance, efficiency, and result interpretation in order to support assessments of great ape presence, abundance, distribution, and behaviour and thereby aid conservation efforts. The dataset and code are available from the project website: PanAf20KPeer reviewe