A Review on Constructed Treatment Wetlands for Removal of Pollutants in the Agricultural Runoff

Constructed wetland (CW) is a popular sustainable best management practice for treating different wastewaters. While there are many articles on the removal of pollutants from different wastewaters, a comprehensive and critical review on the removal of pollutants other than nutrients that occur in agricultural field runoff and wastewater from animal facilities, including pesticides, insecticides, veterinary medicine, and antimicrobial-resistant genes are currently unavailable. Consequently, this paper summarized recent findings on the occurrence of such pollutants in the agricultural runoff water, their removal by different wetlands (surface flow, subsurface horizontal flow, subsurface vertical flow, and hybrid), and removal mechanisms, and analyzed the factors that affect the removal. The information is then used to highlight the current research gaps and needs for resilient and sustainable treatment systems. Factors, including contaminant property, aeration, type, and design of CWs, hydraulic parameters, substrate medium, and vegetation, impact the removal performance of the CWs. Hydraulic loading of 10–30 cm/d and hydraulic retention of 6–8 days were found to be optimal for the removal of agricultural pollutants from wetlands. The pollutants in agricultural wastewater, excluding nutrients and sediment, and their treatment utilizing different nature-based solutions, such as wetlands, are understudied, implying the need for more of such studies. This study reinforced the notion that wetlands are effective for treating agricultural wastewater (removal >90%) but several research questions remain unanswered. More long-term research in the actual field utilizing environmentally relevant concentrations to seek actual impacts of weather, plants, substrates, hydrology, and other design parameters, such as aeration and layout of wetland cells on the removal of pollutants, are needed.

COASTAL VEGETATION IMPACT ON STRUCTURAL INTEGRITY UNDER INUNDATION EVENTS

Recent work will be presented on the estimation of structural loads due to wave loading behind semi-separable vegetation. Numerical results treating vegetation as a variable will be utilized to quantify structural vulnerability using either readily available fragility curves or comparing the induced forces (demand) to the capacity of the structure. Out-of-plane failure is considered in the latter case. Results demonstrate that the protection offered by vegetation is substantial and can lead to a significant reduction in the vulnerability of the shielded structure.Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/3H2XhLI8sZA

SPACEBORNE GNSS-R RETRIEVING ON GLOBAL SOIL MOISTURE APPROACHED BY SUPPORT VECTOR MACHINE LEARNING

GNSS Reflectometry system is an excellent to sense soil moisture content. In recent, GNSS-R technique could be aided to detect soil moisture contents but still have many difficulities issues, most especially vegetation impact. Soil moisture observing is a major concept for enhancing the sustainability of the earth’s system and process. On retrieving soil moisture from spaceborne GNSS-R technology has been challenging to the system, retrieving model and geophysical parameters. In this research, we use the Support Vector Machine (SVM) method to retrieve global soil moisture, the TDS-1 Delay Doppler Map (DDM) and the AVHRR Normalized Difference Vegetation Index (NDVI) imagery as inputs and the Soil Moisture and Ocean Salinity (SMOS) soil moisture data as a reference to retrieve global SM daily basis. The results have shown that the squared correlation coefficient (R) values are much higher in TDS-1 fused with NDVI than using DDM alone, which indicates that vegetation impact has effectively weakened. The feasibility of this approach could provide the performance for spaceborne GNSS-R retrieving to soil moisture analysis.

L-Band Vegetation Optical Depth Estimation Using Transmitted GNSS Signals: Application to GNSS-Reflectometry and Positioning

At L-band (1–2 GHz), and particularly in microwave radiometry (1.413 GHz), vegetation has been traditionally modeled with the τ-ω model. This model has also been used to compensate for vegetation effects in Global Navigation Satellite Systems-Reflectometry (GNSS-R) with modest success. This manuscript presents an analysis of the vegetation impact on GPS L1 C/A (coarse acquisition code) signals in terms of attenuation and depolarization. A dual polarized instrument with commercial off-the-shelf (COTS) GPS receivers as back-ends was installed for more than a year under a beech forest collecting carrier-to-noise (C/N0) data. These data were compared to different ground-truth datasets (greenness, blueness, and redness indices, sky cover index, rain data, leaf area index or LAI, and normalized difference vegetation index (NDVI)). The highest correlation observed is between C/N0 and NDVI data, obtaining R2 coefficients larger than 0.85 independently from the elevation angle, suggesting that for beech forest, NDVI is a good descriptor of signal attenuation at L-band, which is known to be related to the vegetation optical depth (VOD). Depolarization effects were also studied, and were found to be significant at elevation angles as large as ~50°. Data were also fit to a simple τ-ω model to estimate a single scattering albedo parameter (ω) to try to compensate for vegetation scattering effects in soil moisture retrieval algorithms using GNSS-R. It is found that, even including dependence on the elevation angle (ω(θe)), at elevation angles smaller than ~67°, the ω(θe) model is not related to the NDVI. This limits the range of elevation angles that can be used for soil moisture retrievals using GNSS-R. Finally, errors of the GPS-derived position were computed over time to assess vegetation impact on the accuracy of the positioning.

Valuasi Ekonomi Kerusakan Lingkungan Akibat Kebakaran Gambut Di Desa Mak Teduh Provinsi Riau

Peat fires caused negative impact which link to the death of flora, soil damage and smoke disasters.The research proposed to know how big the danger at environment due to forest fire. Unfortunately has so way research found how much money last during burning which link to end damage. Field observation and soil samples were taken through purposive sampling. The result of research show that fire cause a total death of flora and fauna and subsidence of 10-20 cm. This study showed that land fires significantly affected organic C, bulk density, and total microorganisms, and significanlyt effecedt on pH and respiration parameters. Our results clearly demonstrate the severe enviromental destruction due to on peat fire as it fulfill. The order to know the significance of the vegetation impact of fire that we use PP 4/2004. The order to know the significant of the negative impact of fire the we use PP 4/2004 for soil pH, organic C, bulk density, porosity, water content, total microorganisms, and respiration with the economic valuation ofer, damage due to fire was reached Rp1.765.190.064,-.Keywords : enviromental damage, economic valution. peat fires, soil properties

Periurbanization and conservation pressures over remnants of native vegetation: impact on ecosystem services for a Latin-American capital city

Urban expansion in Latin-American cities is faster than urban planning. In order to implement sustainable planning the capacity of peri-urban areas to provide ecosystem services must be evaluated in the context of competing urbanization and conservation pressures. In this study we analyzed the effect of urban expansion on peri-urban vegetation of the Metropolitan Area of Santiago and what ecosystem services are provided by El Panul, land rich in biodiversity embedded in the fringe of the city. The city has lost vegetation while urbanized areas grow. Under this context, we evaluated the multi-functionality of El Panul through the quantification of three ecosystem services (ES): sense of place through the interviews of 60 residents, recreation via GIS analyses, and local climate regulation determined with air temperature measurements. El Panul increased the provision of urban green spaces, where inhabitants recognize and appreciate ES, and it plays a significant role in mitigating the urban heat island on summer nights. ES have emerged as a concept and framework for evaluating competing urban development alternatives.