Avaliação do reúso agrícola de águas oleosas da indústria de petróleo tratadas por eletrofloculação e osmose inversa: efeitos na germinação, no desenvolvimento de plântulas de girassol e em atributos do solo

A presente tese de doutorado teve como objetivo estabelecer parâmetros para avaliar a viabilidade do reúso agrícola de águas oleosas da indústria de petróleo, como as águas de produção (AP) de campos de exploração onshore do semiárido nordestino, na irrigação de culturas de girassol destinadas à produção de biodiesel. A AP foi produzida sinteticamente e tratada utilizando-se as técnicas de eletrofloculação (EF) e de osmose inversa (OI). Foram analisados os efeitos da AP não tratada, tratada por EF e por EF combinada com osmose inversa (EF+OI) na germinação, desenvolvimento e produção de biomassa de plântulas de girassol e também nos atributos de um solo característico do semiárido nordestino. Na melhor condição operacional do tratamento da AP por EF (28,6 A m-2 durante 4 min.) foram obtidas eficiências de remoção de óleos e graxas (O&G), demanda química de oxigênio (DQO), cor e turbidez superiores a 95%. O tratamento EF+OI promoveu a remoção do excesso de salinidade e de ferro oriundo da etapa de EF, enquadrando-se esses parâmetros dentro de níveis de referência recomendados para água de irrigação. Níveis de O&G e DQO superiores, respectivamente, a 337 mg L-1 e 1.321 mg O2 L-1 na AP bruta produziram efeitos tóxicos, reduzindo-se o índice de velocidade de germinação (IVG) e o percentual de plântulas normais do girassol. Por outro lado, os efluentes tratados por EF e EF+OI produziram efeitos similares no percentual de sementes germinadas, no IVG, no percentual de plântulas normais e na produção de biomassa do girassol. O uso da AP tratada por EF, com ou sem diluição, contribuiu significativamente para o aumento da salinidade e dos teores de sódio do solo, diferentemente da tratada por EF+OI, que produziu efeitos similares ao do controle (água destilada)

Scoping report: current status of index-based insurance in Bangladesh

With current and anticipated increases in magnitude of extreme weather events and a declining consistency in weather patterns, particularly challenging for agriculture, there has been a growing interest in weather index-based insurance (IBI) schemes in Bangladesh. A number of weather index-based insurance products have already been tested and applied across Asia and Africa, with varying degrees of success, as a mechanism to improve livelihood security by enabling vulnerable populations to transfer risk associated with climate change, extreme weather events and other hazards. In the process, these efforts have generated important new knowledge on how these schemes can be designed and implemented for optimal results. However, the practice of index-based insurance is still limited in Bangladesh, and the experience and knowledge generated by the different stakeholders involved needs to be better communicated.

Adjustment of ocean color sensor calibration through multi-band statistics

The band-by-band vicarious calibration of on-orbit satellite ocean color instruments, such as SeaWiFS and MODIS, using ground-based measurements has significant residual uncertainties. This paper applies spectral shape and population statistics to tune the calibration of the blue bands against each other to allow examination of the interband calibration and potentially provide an analysis of calibration trends. This adjustment does not require simultaneous matches of ground and satellite observations. The method demonstrates the spectral stability of the SeaWiFS calibration and identifies a drift in the MODIS instrument onboard Aqua that falls within its current calibration uncertainties.

Real-time climate monitoring using an AVHRR-based vegetation index

A normalized difference vegetation index (NDVI) has been produced and archived on a 1° latitude by 1° longitude grid between 55°S and 75°N. The many sources of data errors in the NDVI include cloud contamination, scan angle biases, changes in solar zenith angle, and sensor degradation. Week-to-week variability, primarily caused by cloud contamination and scan angle biases, can be minimized by temporally filtering the data. Orbital drift and sensor degradation introduces interannual variability into the dataset. These trends make the usefulness of a long-term climatology uncertain and limit the usefulness of the NDVI. Elimination of these problems should produce an index that can be used for climate monitoring.

Weather index insurance: Lessons learned and best practices for Bangladesh

WorldFish and the International Centre for Climate Change and Development (ICCCAD) held a two-day workshop on the topic of Weather Index-Based Insurance: Lessons Learned and Best Practices for Bangladesh. Weather index insurance is based on a predefined weather event which when triggered ensures automatic payout to farmers who have taken out insurance. For example, the climatic trigger could be a predefined consecutive number of days where rainfall is below a set level or when the floodwater level reaches above a certain point. Index insurance has been operating for about 10 years in many countries but is still at an early stage in Bangladesh, where there are two schemes currently being piloted and three other projects being developed. The aim of the two-day workshop was twofold: to ascertain the present state of index insurance in Bangladesh and elsewhere, and to work together to identify ways forward.