Analisis Tingkat Kekumuhan Permukiman Pesisir Di Kecamatan Abeli

Abstrak: Penelitian ini bertujuan untuk menentukan indeks kekumuhan permukiman pesisir dan menganalisis kondisi eksisting permukiman di Kecamatan Abeli Kota Kendari dengan menggunakan analisis deskriptif kuantitatif. Penelitian ini menggunakan metode overlay dengan memberikan penilaian pada setiap indikator kekumuhan yang telah ditetapkan oleh Dirjen Perumahan dan Permukiman seperti: kepadatan bangunan, kelayakan bangunan, aksesibilitas lingkungan, drainase lingkungan, pelayanan air bersih, pengelolaan air limbah dan pengelolaan persampahan. Hasil penelitian menunjukkan bahwa indeks kekumuhan permukiman pesisir di Kecamatan Abeli terdiri dari dua kelas yaitu kumuh sedang dan kumuh berat. Kelas kumuh sedang dengan indeks kekumuhan 2,5-3,4 terdapat di Kelurahan Pudai RT 02, Kelurahan Lapulu RT 01 dan 02, Kelurahan Poasia RT 03 dan 05, Kelurahan Talia RT 01. Kelas kumuh berat dengan indeks kekumuhan 3,5- 4,4 terdapat pada Kelurahan Pudai RT 01, Kelurahan Lapulu RT 03 dan Kelurahan Talia RT 02, 03 dan 04. kondisi eksisting untuk tingkat permukiman kumuh sedang memiliki kondisi lingkungan umumnya cenderung menengah, dimana terdapat beberapa aspek yang memiliki kesamaan dengan permukiman kumuh ringan. Kondisi kumuh berat kondidsi lingkungannya buruk, terdapat kecenderungan bahwa semakin buruk tingkat kekumuhan permukiman, maka semakin buruk pula kondisinya dengan memilki kondisi sarana dan prasarana yang tidak memadai dan kondisi lingkungan yang kurang terjaga. Kata Kunci: permukiman kumuh, tingkat kekumuhan, overlay parameter Abstract: This study aims to determine the slum index of coastal settlements and analyze the existing conditions of settlements in Kendari City Abeli District using quantitative descriptive analysis. This study uses the overlay method by giving an assessment of each slum indicator set by the Director General of Housing and Settlements such as: building density, building feasibility, environmental accessibility, environmental drainage, clean water services, waste water management and waste management. The results showed that the slum index of coastal settlements in Abeli Subdistrict consisted of two classes namely medium slums and heavy slums. Where moderate slum with 2.5-3.4 slum index found in Pudai Village RT 02, Lapulu Village RT 01 and 02, Poasia Village RT 03 and 05, Talia Village RT 01. For heavy slum classes with 3.5- slum index 4.4 is found in Pudai RT 01 Village, Lapulu Village RT 03 and Talia RT 02, 03 and 04 Village. With the existing conditions for slum settlements having moderate environmental conditions generally tend to be medium, where there are several aspects that have similarities with light slum settlements . While the condition of heavy slum conditions is poor, there is a tendency that the worse the slum level of settlements, the worse the condition is by having inadequate conditions of facilities and infrastructure and adverse environmental conditions. Keywords: slum settlement, slum level, parameter overlay

Synthesis And CharacterizationOf Eu2wo6 By Hydrothermal Method

Metal oxide nanocomposites play an important role in nanoworld. Materials with photo catalytic properties are widely studied because of their numerous applications. These applications include solar cell application and other photodegradation properties too. This photodegradation property include the waste water management too. This paper reports the synthesis and characterization of europium tungstate nanocomposites and explain their photocatalytic applications. The synthesis is carried out with hydrothermal method. XRD, FTIR, SEM and PL studies have been used to study the structural and morphological and optical studies. From these characterizations the sample is studied and further studied for its future uses.

The Rise of West Nile Virus in Europe: investigating the combined effects of climate, land use and economic changes

ABSTRACTWest Nile Virus (WNV) has recently emerged as a major public health concern in Europe, its recent expansion also coincided with some remarkable socio-economic and environmental changes, including an economic crisis and some of the warmest temperatures on record. Here we empirically investigate the drivers for this phenomenon at a European wide scale by constructing and analysing a unique spatial-temporal data-set, that includes data on climate, land-use, the economy, and government spending in key sectors such as health and the environment. Drivers and risk factors of WNV were identified by building a conceptual framework, and relationships were tested using a Generalized Additive Model (GAM), which could capture complex non-linear relationships and also account for the spatial and temporal auto-correlation. As expected, land use factors (higher percentage of wetlands and agricultural land) and climate factors (higher summer rainfall and higher summer temperatures) were positive predictors of WNV infections. However, we found that a mean winter temperature of between 2 °C and 6 °C was the best predictor of annual WNV infections, suggesting that successful overwintering of infected adult mosquitoes (likely Culex pipiens) was key to the intensity of outbreaks for a given year. This result, taken in the context of recent winter warming due to climate change, demonstrates how the virus has become so prevalent in Europe. Furthermore, lower GDP growth, lower spending growth on environmental factors such as agriculture, forest, fisheries, and waste water management were also strong predictors of WNV infections, suggesting that austerity and cuts to key sectors benefited vector species and the virus during this crucial period. Waste water management spending may be a reliable causative factor, due to, for instance, the neglect of hazard prevention efforts, such as spending on flood defences, essential works like sanitation and upkeep and of infrastructure, that can lead to the creation of mosquito breeding habitats, e.g. potholes, blocked drain. This study should act as a cautionary tale; central governments looking to embark on austerity measures should exercise extreme caution given the long term trade-offs and unintended consequences they can have on the environment and human health, especially when considering we are facing numerous threats brought about by global warming and other anthropogenic induced changes, that can benefit emerging diseases i.e. global trade in wild animals, intensive agriculture animal rearing and land use conversion.

The Rise of West Nile Virus in Europe: investigating the combined effects of climate, land use and economic changes

West Nile Virus (WNV) has recently emerged as a major public health concern in Europe, its recent expansion also coincided with some remarkable socio-economic and environmental changes, including an economic crisis and some of the warmest temperatures on record. Here we empirically investigate the drivers for this phenomenon at a European wide scale by constructing and analysing a unique spatial-temporal data-set, that includes data on climate, land-use, the economy, and government spending in key sectors such as health and the environment. Drivers and risk factors of WNV were identified by building a conceptual framework, and relationships were tested using a Generalized Additive Model (GAM), which could capture complex non-linear relationships and also account for the spatial and temporal auto-correlation. As expected, land use factors (higher percentage of wetlands and agricultural land) and climate factors (higher summer rainfall and higher summer temperatures) were positive predictors of WNV infections. However, we found that a mean winter temperature of between 2 °C and 6 °C was the best predictor of annual WNV infections, suggesting that successful overwintering of infected adult mosquitoes (likely Culex pipiens) was key to the intensity of outbreaks for a given year. This result, taken in the context of recent winter warming due to climate change, demonstrates how the virus has become so prevalent in Europe. Furthermore, lower GDP growth, lower spending growth on environmental factors such as agriculture, forest, fisheries, and waste water management were also strong predictors of WNV infections, suggesting that austerity and cuts to key sectors benefited vector species and the virus during this crucial period. Waste water management spending may be a reliable causative factor, due to, for instance, the neglect of hazard prevention efforts, such as spending on flood defences, essential works like sanitation and upkeep and of infrastructure, that can lead to the creation of mosquito breeding habitats, e.g. potholes, blocked drain. This study should act as a cautionary tale; central governments looking to embark on austerity measures should exercise extreme caution given the long term trade-offs and unintended consequences they can have on the environment and human health, especially when considering we are facing numerous threats brought about by global warming and other anthropogenic induced changes, that can benefit emerging diseases i.e. global trade in wild animals, intensive agriculture animal rearing and land use conversion.