مقاله انگلیسی رایگان در مورد کاربرد جدید سنجش از دور برای مدل سازی اثرات سایه درخت بر کیفیت آب – الزویر ۲۰۱۹

elsevier

 

مشخصات مقاله
ترجمه عنوان مقاله کاربرد جدید سنجش از دور برای مدل سازی اثرات سایه درخت بر کیفیت آب
عنوان انگلیسی مقاله A novel application of remote sensing for modelling impacts of tree shading on water quality
انتشار مقاله سال ۲۰۱۹
تعداد صفحات مقاله انگلیسی ۱۰ صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه الزویر
نوع نگارش مقاله
مقاله پژوهشی (Research Article)
مقاله بیس این مقاله بیس نمیباشد
نمایه (index) MedLine – Scopus – Master Journal List – JCR
نوع مقاله ISI
فرمت مقاله انگلیسی  PDF
ایمپکت فاکتور(IF)
۴٫۲۱۹ در سال ۲۰۱۷
شاخص H_index ۱۳۱ در سال ۲۰۱۹
شاخص SJR ۱٫۱۶۱ در سال ۲۰۱۷
شناسه ISSN ۰۳۰۱-۴۷۹۷
شاخص Quartile (چارک) Q1 در سال ۲۰۱۷
رشته های مرتبط مهندسی عمران
گرایش های مرتبط نقشه برداری، سنجش از راه دور، سیستم های اطلاعات جغرافیایی
نوع ارائه مقاله
ژورنال
مجله  مجله مدیریت زیست محیطی – Journal of Environmental Management
دانشگاه  Centre for Ecology & Hydrology – Maclean Building – Crowmarsh Gifford – Wallingford
کلمات کلیدی سایه ساحل رودخانه، کیفیت آب، LIDAR، نقشه درخت قومی، تحلیل سیستم اطلاعات جغرافیایی، QUESTOR
کلمات کلیدی انگلیسی Riparian shading، Water quality، Lidar، National tree map، GIS analysis، Questor
شناسه دیجیتال – doi
https://doi.org/10.1016/j.jenvman.2018.09.037
کد محصول  E10739
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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فهرست مطالب مقاله:
Abstract

۱- Introduction

۲- Methodology

۳- Results

۴- Discussion

۵- Conclusions

References

بخشی از متن مقاله:

Abstract

Uncertainty in capturing the effects of riparian tree shade for assessment of algal growth rates and water temperature hinders the predictive capability of models applied for river basin management. Using photogrammetry-derived tree canopy data, we quantified hourly shade along the River Thames (UK) and used it to estimate the reduction in the amount of direct radiation reaching the water surface. In addition we tested the suitability of freely-available LIDAR data to map ground elevation. Following removal of buildings and objects other than trees from the LIDAR dataset, results revealed considerable differences between photogrammetry- and LIDAR-derived methods in variables including mean canopy height (10.5 m and 4.0 m respectively), percentage occupancy of riparian zones by trees (45% and 16% respectively) and mid-summer fractional penetration of direct radiation (65% and 76% respectively). The generated data on daily direct radiation for 2010 were used as input to a river network water quality model (QUESTOR). Impacts of tree shading were assessed in terms of upper quartile levels, revealing substantial differences in indicators such as biochemical oxygen demand (BOD) (1.58–۲٫۱۹ mg L−۱ respectively) and water temperature (20.1 and 21.2 °C respectively) between ‘shaded’ and ‘non-shaded’ radiation inputs. Whilst the differences in canopy height and extent derived by the two methods are appreciable they only make small differences to water quality in the Thames. However such differences may prove more critical in smaller rivers. We highlight the importance of accurate estimation of shading in water quality modelling and recommend use of high resolution remotely sensed spatial data to characterise riparian canopies. Our paper illustrates how it is now possible to make better reach scale estimates of shade and make aggregations of these for use at river basin scale. This will allow provision of more effective guidance for riparian management programmes than currently possible. This is important to support adaptation to future warming and maintenance of water quality standards.

Introduction

The influence that riparian vegetation exerts on river water temperatures and light availability by intercepting incoming solar radiation has long been studied (Davies-Colley and Rutherford, 2005; Greenberg et al., 2012; Moore et al., 2005; Webb et al., 2008). Shading is a key parameter due to the control it exerts over the amount of direct radiation reaching the river surface making it an important consideration in water quality modelling and management. Solar radiation has direct effects on rates of primary production of both macrophytes and algae (Bowes et al., 2016, 2012b; Wood et al., 2012) which is important for river metabolic regime and is known to be influenced by riparian shade (Bernhardt et al., 2017). Water temperature also directly influences river fauna and dissolved oxygen concentrations. Therefore considerations of shading are of growing importance given the increasing stress on the water environment likely to arise under future climate. Effective and realistic riparian planting schemes to mitigate against these unwanted effects will become increasingly valuable and enhance water ecosystem services (Martin-Ortega et al., 2015). They will provide alternatives to traditional end-of-pipe solutions arising primarily from the EU Urban Wastewater Treatment Directive, which have been assessed through modelling (e.g. at large basin scale across Europe: Grizzetti et al., 2011).

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