Detection of rainwater harvesting ponds by matching terrain attributes with hydrologic response
نویسندگان
چکیده
منابع مشابه
extremal region detection guided by maxima of gradient magnitude
a problem of computer vision applications is to detect regions of interest under dif- ferent imaging conditions. the state-of-the-art maximally stable extremal regions (mser) detects affine covariant regions by applying all possible thresholds on the input image, and through three main steps including: 1) making a component tree of extremal regions’ evolution (enumeration), 2) obtaining region ...
A Rainwater Harvesting Technology by Roof Coating Using TiO2
Rainwater utilization has great potentials for recovering hydrological cycles, for buffering extreme run-off situations in the watercourses, and for reducing the costs for water supply in urban area. However, little information is available on the water qualities and runoff properties of collected rainwater, which is critical for efficient design and maintenance strategies of rainwater harvesti...
متن کاملMandatory urban rainwater harvesting: learning from experience.
Rainwater harvesting is effectively mandated in several urban areas of New Zealand. To understand the costs and benefits of rainwater harvesting from an end-user perspective, semistructured interviews were conducted with 14 homeowners in northern Auckland affected by these regulations. Residents report differences in four aspects of urban rainwater infrastructure - security of supply, water qua...
متن کاملRisk Analysis Approach to Rainwater Harvesting Systems
Urban rainwater reuse preserves water resources and promotes sustainable development in rapidly growing urban areas. The efficiency of a large number of urban water reuse systems, operating under different climate and demand conditions, is evaluated here on the base of a new risk analysis approach. Results obtained by probability analysis (PA) indicate that maximum efficiency in low demanding s...
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ژورنال
عنوان ژورنال: Journal of Cleaner Production
سال: 2021
ISSN: 0959-6526
DOI: 10.1016/j.jclepro.2021.126520