Nitrogen Inversion Model in a Wetland Environment Based on the Canopy Reflectance of Emergent Plants

IF 2.1 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES
Dongli Wu, Dongliang Zhao, Yongchao Zhu, Chao Shen, Hongxi Xue
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引用次数: 1

Abstract

Reuse of reclaimed water in constructed wetlands is a promising way to conserve water resources and improve water quality, and it is playing a very important role in wetland restoration and reconstruction. This study utilized reflectance spectra of wetland vegetation to estimate nitrogen content in water in the Beijing Bai River constructed wetland, a typically constructed wetland that uses reclaimed water. Canopy reflectance spectra of two dominant plants in the wetland, including reed and cattail, were acquired using a spectrometer (350–2500 nm). Simultaneously, water samples were collected to measure water quality. To establish the appreciate relationship between total nitrogen content (TN) and reflectance spectra, both simple and multiple regression models, including simple ration spectral index (SR), normalized difference spectral index (ND), stepwise multiple linear regression (SMLR) model, and partial least squares regression (PLSR), were adopted in this study. The results showed that (1) compared with simple regression models (SR and ND), multiple regressions models (SMLR and PLSR) could provide a more accurate estimation of TN concentration in the wetland environment. Among these models, the PLSR model had the highest accuracy and was proven to be the most useful tool to reveal the relationship between the spectral reflectance of wetland plants and the total nitrogen consistency of wetland at the canopy scale. (2) The inversion effect of TN concentration in water is slightly better than that of wetland vegetation, and the reflection spectrum of the reed can predict TN concentration more accurately than that of cattail. The finding not only provides solid evidence for the potential application of remote sensing to detect water eutrophication but also enhances our understanding of the monitoring and management of water quality in urban wetlands using recycled water.
基于新生植物冠层反射率的湿地环境氮素反演模型
人工湿地中水回用是保护水资源、改善水质的一种很有前途的方式,在湿地恢复重建中发挥着非常重要的作用。本研究利用湿地植被的反射光谱来估算北京白河人工湿地(一个典型的利用再生水的人工湿地)水中的氮含量。湿地中两种优势植物(包括芦苇和香蒲)的冠层反射光谱是使用光谱仪(350–2500 nm)。同时,采集水样以测量水质。为了建立总氮含量(TN)与反射光谱之间的良好关系,本研究采用了简单比值光谱指数(SR)、归一化差分光谱指数(ND)、逐步多元线性回归(SMLR)模型和偏最小二乘回归(PLSR)等简单和多元回归模型。结果表明:(1)与简单回归模型(SR和ND)相比,多元回归模型(SMLR和PLSR)可以更准确地估计湿地环境中的TN浓度。在这些模型中,PLSR模型具有最高的精度,被证明是在冠层尺度上揭示湿地植物光谱反射率与湿地总氮浓度之间关系的最有用的工具。(2) 水中TN浓度的反演效果略好于湿地植被,芦苇的反射光谱比香蒲的反射光谱更准确地预测TN浓度。这一发现不仅为遥感技术在水体富营养化检测中的潜在应用提供了坚实的证据,而且增强了我们对使用再生水监测和管理城市湿地水质的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Advances in Meteorology
Advances in Meteorology 地学天文-气象与大气科学
CiteScore
5.30
自引率
3.40%
发文量
80
审稿时长
>12 weeks
期刊介绍: Advances in Meteorology is a peer-reviewed, Open Access journal that publishes original research articles as well as review articles in all areas of meteorology and climatology. Topics covered include, but are not limited to, forecasting techniques and applications, meteorological modeling, data analysis, atmospheric chemistry and physics, climate change, satellite meteorology, marine meteorology, and forest meteorology.
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