Estimation of evapotranspiration in constructed wetlands under diverse climatic conditions

Harne, Kailash; Joshi, Himanshu; Wankhade, Rajan L.

doi:10.1007/s10661-023-10928-0

Cited by 2 publications

(2 citation statements)

References 18 publications

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“…This ultimately confirms the spatiotemporal relationship between meteorological factors and the spatial distribution of natural wetlands during the wetland recovery period. During this period, the wetland area in the Northeast Plain of China increased by 37.76 × 10 3 km 2 , possibly due to the increased surface runoff replenishment caused by abundant precipitation and balanced temperature, and the reasonable transpiration promoted the energy cycle of the natural wetland aquatic ecosystem, triggering a new round of natural wetland self-ecological restoration [81][82][83]. From the perspective of topographic factors, the uneven distribution of elevation can lead to changes in surface water runoff direction, thereby affecting the spa- In addition, natural factors consisting of meteorological and topographic factors also have a certain driving effect on natural wetlands.…”

Section: Main Driving Force Of Natural Wetlandmentioning

confidence: 99%

Driving Force Analysis of Natural Wetland in Northeast Plain Based on SSA-XGBoost Model

Liu,

Lin,

Zhang

et al. 2023

Sensors

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Globally, natural wetlands have suffered severe ecological degradation (vegetation, soil, and biotic community) due to multiple factors. Understanding the spatiotemporal dynamics and driving forces of natural wetlands is the key to natural wetlands’ protection and regional restoration. In this study, we first investigated the spatiotemporal evolutionary trends and shifting characteristics of natural wetlands in the Northeast Plain of China from 1990 to 2020. A dataset of driving-force evaluation indicators was constructed with nine indirect (elevation, temperature, road network, etc.) and four direct influencing factors (dryland, paddy field, woodland, grassland). Finally, we built the driving force analysis model of natural wetlands changes to quantitatively refine the contribution of different driving factors for natural wetlands’ dynamic change by introducing the sparrow search algorithm (SSA) and extreme gradient boosting algorithm (XGBoost). The results showed that the total area of natural wetlands in the Northeast Plain of China increased by 32% from 1990 to 2020, mainly showing a first decline and then an increasing trend. Combined with the results of transfer intensity, we found that the substantial turn-out phenomenon of natural wetlands occurred in 2000–2005 and was mainly concentrated in the central and eastern parts of the Northeast Plain, while the substantial turn-in phenomenon of 2005–2010 was mainly located in the northeast of the study area. Compared with a traditional regression model, the SSA-XGBoost model not only weakened the multicollinearity of each driver but also significantly improved the generalization ability and interpretability of the model. The coefficient of determination (R2) of the SSA-XGBoost model exceeded 0.6 in both the natural wetland decline and rise cycles, which could effectively quantify the contribution of each driving factor. From the results of the model calculations, agricultural activities consisting of dryland and paddy fields during the entire cycle of natural wetland change were the main driving factors, with relative contributions of 18.59% and 15.40%, respectively. Both meteorological (temperature, precipitation) and topographic factors (elevation, slope) had a driving role in the spatiotemporal variation of natural wetlands. The gross domestic product (GDP) had the lowest contribution to natural wetlands’ variation. This study provides a new method of quantitative analysis based on machine learning theory for determining the causes of natural wetland changes; it can be applied to large spatial scale areas, which is essential for a rapid monitoring of natural wetlands’ resources and an accurate decision-making on the ecological environment’s security.

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Section: Main Driving Force Of Natural Wetlandmentioning

confidence: 99%

Driving Force Analysis of Natural Wetland in Northeast Plain Based on SSA-XGBoost Model

Liu,

Lin,

Zhang

et al. 2023

Sensors

View full text Add to dashboard Cite

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“…Air limbah rumah makan cenderung mengandung bahan organik dengan konsentrasi tinggi. Hal ini dapat dipahami bahwa proses produksi kegiatan rumah makan umumnya menggunakan bahan-bahan pendukung berupa bahan-bahan yang sebagaian besar mengandung nilai BOD dan TSS yang tinggi dan mengandung minyak lemak yang merupakan jenis senyawa kimia asam lemah [10]. Oleh karena itu, air limbah dari rumah makan sebaiknya diolah terlebih dahuu sebelum dibuang ke badan air peneruma.…”

Section: Pengaruh Ph Dan Suhu Pada Penyisihan Kadar Bod Dan Tssunclassified

Efektifitas Kombinasi Media dalam Penyisihan BOD dan TSS Limbah Cair Rumah Makan Menggunakan Constructed Wetland dengan Tanaman Cyperus Papyrus

Oktavia,

Hidayat,

Purnama

et al. 2023

Media Teknik Lingkungan

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The restaurant business can have an impact on increasing liquid waste which can contaminate the receiving water body. One of the treatment methods that can be applied as further treatment is a constructed wetland system with continuous flow. The aim of the research was to determine the amount of BOD and TSS removal and the effect of pH and temperature on the research. Preliminary tests conducted showed levels of BOD = 1,562 mg/L and TSS = 192 mg/L. The research reactor consisted of 3 units, filled with wastewater with a debit of 7 ml/minute and 5 Cyperus papyrus stems planted in a variety of planting media, the reactor containing clay growing media (R1), the reactor containing sand growing media (R2), and (R3). containing clay planting medium combined with sand media. The reactor used continuous flow for 4 days, starting with a 7-day acclimatization test. The parameters to be tested in this study are pH, temperature, BOD, and TSS. The results showed that constructed wetlands with Cyperus papyrus plants could remove the best BOD on day 1 in a reactor with clay media of 66%. In the constructed wetland test results with the Cyperus papyrus plant the best ability to remove TSS was achieved on day 2 in sand media (R2) which could remove TSS levels of 84.3%.

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Estimation of evapotranspiration in constructed wetlands under diverse climatic conditions

Cited by 2 publications

References 18 publications

Driving Force Analysis of Natural Wetland in Northeast Plain Based on SSA-XGBoost Model

Driving Force Analysis of Natural Wetland in Northeast Plain Based on SSA-XGBoost Model

Efektifitas Kombinasi Media dalam Penyisihan BOD dan TSS Limbah Cair Rumah Makan Menggunakan Constructed Wetland dengan Tanaman Cyperus Papyrus

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