Mortonsharp0470

Although the discrimination skill of KDE and ME models for both target clades together was good to excellent (AUCKDE = 0.944, AUCME = 0.822), the highest theoretical mitigation efficiency, was displayed by HCM Consensus (2.89), followed by KDE (2.58), and ME (1.91). Furthermore, we show that theoretical mitigation efficiency increases with decreasing spatial clustering (Moran's I). Given pervasive budget constraints, we recommend to limit permanent mitigation measures such as fenced culverts to HCM Consensus hotspots, temporary measures to KDE hotspots, and to target additional monitoring at ME hotspots.Resource utilization of waste activated sludge (WAS) has become a mainstream development direction. Alkaline thermal pretreatment (TPT) was found to greatly promote the bioaccessibility and biodegradability of the sludge. Epigenetic signaling pathway inhibitor The organic matter including soluble chemical oxygen demand (SCOD), soluble carbohydrate, soluble protein and volatile fatty acids (VFAs) after low temperature (90 °C) pretreatment was 4.8%-65.9% higher than that after high temperature (180 °C) pretreatment. These increasements could be contributed by the alkaline treatment condition and the longer treatment time. The alkaline condition reduced the resistance of cell wall to the temperature. The pretreatment time at 90 °C was two times of that at 180 °C, allowing more organic matter to be released. But the total energy consumption of low temperature pretreatment (2580.7 kJ/L) was 30.5% lower than that of high temperature pretreatment (3711.8 kJ/L). The sludge fermentation liquid (SFL) was then employed as the substrate in microbial electrolysis cells (MECs), and the utilization efficiency of acetic acid was the highest (74.9%-83.2%). The hydrogen yield using low temperature pretreated sludge was 0.44 m3/(m3·d), which was higher than that of using high temperature pretreated sludge (0.31 m3/(m3·d)). These results suggested that alkaline TPT at 90 °C was an effective way to hydrolyze sludge and further enhance hydrogen production in MECs.Hydrodynamic and water quality modeling have provided valuable simulation results that have enhanced the understanding of the spatial and temporal distribution of algal blooms. Typical model simulations are performed with point-based observational data that are used to configure initial and boundary conditions, and for parameter calibration. However, the application of such conventional modeling approaches is limited due to cost, labor, and time constraints that preclude the retrieval of high-resolution spatial data. Thus, the present study applied fine-resolution algal data to configure the initial conditions of a hydrodynamic and water quality model and compared the accuracy of short-term algal simulations with the results simulated using conventional point-based initial conditions. The environmental fluid dynamics code (EFDC) model was calibrated to simulate Chlorophyll-a (Chl-a) concentrations. Hyperspectral images were used to generate Chl-a maps based on a two-band ratio algorithm for configuring the initial condition of the EFDC model. The model simulation with hyperspectral-based initial conditions returned relatively accurate results for Chl-a, compared to the simulation based on point-based initial conditions. The simulations exhibited percent bias values of 9.93 and 14.23, respectively. Therefore, the results of this study demonstrate how hyperspectral-based initial conditions could improve the reliability of short-term algal bloom simulations in a hydrodynamic model.In cities of the Global South, faecal sludge management (FSM) has arisen as an acceptable and economical alternative for managing excreta. Shit flow diagram (SFD) has emerged as the preferred tool for the planning and advocacy of FSM services. Besides context-specific challenges, FSM planning, especially the use of SFD is impeded by the lack of data related to on-site sanitation systems (OSSs) and lack of capacity at the local level. This paper sets out to demonstrate how the capacity-building approach can be extended to overcome these two challenges in planning FSM with a substantial share of the information collected through household surveys. We argue that even the resource-constrained towns in the Global South have access to college students, smartphones and open source applications and demonstrate how they can be harnessed to collect the data in a cost-effective manner. Using the data collected by 150+ university students, participants of a summer school, we prepare a SFD for Alleppey, a town in Kerala, India. We argue such repeated exercises by subsequent batches of students can help understand local problems, arrive at context specific solutions and monitor them to instill better accountability of local governments. We also identify two issues with the current SFD preparation process and find it is necessary to contextualise the output of the tool to use it for planning. We suggest that the methods demonstrated here be incorporated in the future refinements to the SFD tool to make it more useful for planning city-wide FSM services.Rice is a crucial part of the world's food supply but is also susceptible to uptake of contaminants including arsenic (As) and cadmium (Cd) depending on the soil redox potential. Careful control of soil redox state by implementing alternate wetting and drying (AWD) water management can decrease mobility of soil As and Cd, but can be difficult to manage. Indicators of reduction in soil (IRIS) tubes and films have been studied by pedologists for wetland delineation; here, we explore the use of the IRIS film technology as passive samplers of soil redox potential in rice paddies. The goal of this study was to test the response time of IRIS films under different water management (i.e., variable soil redox potentials). After paddy soils were exposed to severe or safe AWD, where rice paddies were allowed to dry to >30 cm below the soil surface and 15 cm below the soil surface, respectively, IRIS films, coated with Fe oxide or Mn oxide paint, were installed. Immediately following IRIS film installation, soils were reflooded, and percent removal of Fe or Mn oxides were monitored on films that were removed every 12 h for Fe films, and every 6 h for Mn films. Porewater was collected at installation and every 12 h during the studies to observe correlations between IRIS film paint removal and porewater chemistry. We observed quicker paint removal for Mn films than Fe films, and paint removal varied due to growing season and water management. Moreover, correlations between porewater chemistry and Mn paint removal were observed. While further work is still needed to understand kinetics of IRIS paint removal as it relates to porewater parameters, this work illustrates that IRIS films are a low-cost tool that rice farmers can use to better manage water and we highlight considerations for possible implementation strategies for the future.