scholarly journals Ecosistemi, boschi e servizi ecosistemici

2020 ◽  
pp. 65-83
Author(s):  
Bartolomeo Schirone
Keyword(s):  
Ecosystem Services ◽  
Catchment Area ◽  
Self Organization ◽  
Fractal Nature ◽  
Natural Ecosystems ◽  
Essential Step ◽  
Water Catchment Area ◽  
Territorial Politics ◽  
The Difference ◽  
Water Catchment

A series of considerations about the value of the living, the difference between natural ecosystems, neo-ecosystems and artificial systems, self-organization and emerging behaviors, the difference between forests managed and intact in the provision of ecosystem services lead to introduce, alongside the latter, the eco-benefit concept. This perspective requires planning on scales having as a reference the water catchment area, a key element in the fractal nature of the landscape, and to consider forest rewilding as an essential step in territorial politics.

scholarly journals Diversity and ecology of araceae in the water catchment area of Ulu Sat, Kelantan, Peninsular Malaysia

2021 ◽  
Vol 756 (1) ◽  
pp. 012087
Author(s):  
H Zulhazman ◽  
E R Aweng ◽  
M A Mohamad-Faiz ◽  
A Muhamad-Azahar ◽  
H Kamarul-Ariffin ◽  
...  
Keyword(s):  
Catchment Area ◽  
Peninsular Malaysia ◽  
Water Catchment Area ◽  
Water Catchment

scholarly journals DAMPAK PERUBAHAN GUNA LAHAN TERHADAP KEMAMPUAN RESAPAN AIR (KASUS: KOTA SAMARINDA)

2019 ◽  
Vol 15 (1) ◽  
pp. 70 ◽  
Author(s):  
Warsilan Warsilan
Keyword(s):  
Land Use ◽  
Catchment Area ◽  
Infrastructure Development ◽  
City Development ◽  
Water Catchment Area ◽  
East Kalimantan ◽  
City Culture ◽  
Water Catchment ◽  
The Impact

As the capital of the province of East Kalimantan, Samarinda City developments has a rapid progress from year to year. Samarinda City Development has a tendency oriented towards infrastructure development without regard to the existence of the quality of the existing environment. Imbalance of development in Samarinda city is to start decreasing the water catchment area, so its make increasing intensity of flood in the Samarinda City. The purpose of this study was to analyze the impact of changes in land use in the Samarinda city on the ability of the water catchment area. This research method using descriptive approach, the data collection system of primary and secondary. Intensity flood in the Samarinda city  is increasing from year to year, this condition happened as a problem that always occurs during the rainy season. Current development trends, always take an area that should be an infiltration  area for Samarinda City. Culture and inadequate infrastructure conditions such as lack of system of drainage and polder, was another factor causing the high intensity of flood  in Samarinda City. Therefore, the relevant regulations development guidelines for Samarinda  City must consider all aspects of planning, in this case especially the important of a balance of cultivated land and protected areas or zones.Keywords: Changes in land use; intensity of puddles; Samarinda

Infections with multiple Cryptosporidium species and new genetic variants in young dairy calves on a farm located within a drinking water catchment area in New Zealand

2014 ◽  
Vol 202 (3-4) ◽  
pp. 287-291 ◽  
Author(s):  
Rima D. Shrestha ◽  
Alex Grinberg ◽  
Venkata S.R. Dukkipati ◽  
Eve J. Pleydell ◽  
Deborah J. Prattley ◽  
...  
Keyword(s):  
Drinking Water ◽  
New Zealand ◽  
Genetic Variants ◽  
Catchment Area ◽  
Cryptosporidium Species ◽  
Dairy Calves ◽  
Water Catchment Area ◽  
Water Catchment

Phosphate dynamics in the drinking water catchment area of the Dobromierz Reservoir

2016 ◽  
Vol 57 (53) ◽  
pp. 25600-25609 ◽  
Author(s):  
Jolanta Dąbrowska ◽  
Krzysztof Lejcuś ◽  
Magdalena Kuśnierz ◽  
Alicja Czamara ◽  
Joanna Kamińska ◽  
...  
Keyword(s):  
Drinking Water ◽  
Catchment Area ◽  
Water Catchment Area ◽  
Water Catchment

Balancing the Fate of Terbuthylazine in a Water Catchment Area by Immunochemical Screening

1998 ◽  
Vol 70 (1-4) ◽  
pp. 59-74 ◽  
Author(s):  
Rudolf J. Schneider ◽  
Alexander Wollweber ◽  
Britta Düren-Lancaster
Keyword(s):  
Catchment Area ◽  
Water Catchment Area ◽  
Water Catchment

Soil Contamination from Non-sanitary Waste Landfill in Langat Water Catchment Area, Malaysia

2015 ◽  
Vol 7 (6) ◽  
pp. 480-493 ◽  
Author(s):  
Sharifah Ismail ◽  
Che Ishak ◽  
Mohd. Samah ◽  
Erneeza Hatta ◽  
Aini Wahab
Keyword(s):  
Soil Contamination ◽  
Catchment Area ◽  
Waste Landfill ◽  
Water Catchment Area ◽  
Water Catchment

scholarly journals Accuracy of The Level of Critical Water Catchment Area for Flood Mitigation Around Bengkulu City, Indonesia

2021 ◽  
Vol 53 (2) ◽  
Author(s):  
Bambang Sulistyo ◽  
Hery Suhartoyo ◽  
Teguh Adiprasetyo ◽  
Kanang Setyo Hindarto ◽  
Noviyanti Listyaningrum
Keyword(s):  
Catchment Area ◽  
Flood Mitigation ◽  
Disaster Mitigation ◽  
Threshold Values ◽  
Reasonable Accuracy ◽  
Water Catchment Area ◽  
Catchment Areas ◽  
Flooded Area ◽  
Water Catchment ◽  
The City

Disaster mitigation activities require the availability of a potentially flooded area (PFA) map. One of the causes of flooding is the criticality of water catchment areas; the higher the criticality level, the higher the flooding potential. This study aims to determine the accuracy of the model for determining the PFA around Bengkulu City, which was derived from the Level of Critical Water Catchment Area (LCWCA) model developed by the Ministry of Forestry. After obtaining the LCWCA Map, another analysis was performed in order to obtain the PFA Map. Furthermore, the overlaying was carried out with the Existing Flood Map in such a way that the level of accuracy is known. The threshold values from Justice are used to justify the level of accuracy in three categories, namely Good (> 85%), Moderate (70 - 85%), and Poor (<70%). The results showed that in the eight sub-watersheds around the city of Bengkulu, there were two sub-watersheds with reasonable accuracy (> 85%), which means that there was > 85% overlap between areas on the Potentially Flooded Area Map as a result of the analysis of The LCWCA with the area on the Existing Flood Map. There are three sub-watersheds with Moderate accuracy (70 - 85%) and three sub-watersheds with Poor accuracy (<70%)

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