سنجش از دور برای مدل سازی اثرات سایه درخت بر کیفیت آب
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سنجش از دور برای مدل سازی اثرات سایه درخت بر کیفیت آب

عنوان فارسی 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
مجله/کنفرانس: مجله مدیریت زیست محیطی - Journal of Environmental Management
رشته های تحصیلی مرتبط: مهندسی عمران
گرایش های تحصیلی مرتبط: نقشه برداری، سنجش از راه دور، سیستم های اطلاعات جغرافیایی
کلمات کلیدی فارسی: 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
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
نمایه: MedLine - Scopus - Master Journal List - JCR
شناسه دیجیتال (DOI): https://doi.org/10.1016/j.jenvman.2018.09.037
دانشگاه: Centre for Ecology & Hydrology - Maclean Building - Crowmarsh Gifford - Wallingford
ناشر: الزویر - Elsevier
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2019
ایمپکت فاکتور: 4/219 در سال 2017
شاخص H_index: 131 در سال 2019
شاخص SJR: 1/161 در سال 2017
شناسه ISSN: 0301-4797
شاخص Quartile (چارک): Q1 در سال 2017
فرمت مقاله انگلیسی: PDF
تعداد صفحات مقاله انگلیسی: 10
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: خیر
کد محصول: E10739
فهرست انگلیسی مطالب

Abstract


1- Introduction


2- Methodology


3- Results


4- Discussion


5- Conclusions


References

نمونه متن انگلیسی 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) (1.58–2.19 mg L−1 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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