Influence of land development on stormwater runoff from a mixed land use and land cover catchment

Paule-Mercado, M.A.,Lee, B.Y.,Memon, S.A.,Umer, S.R.,Salim, I.,Lee, C.-H. Elsevier BV 2017 Science of the Total Environment Vol.599 No.-

<P><B>Abstract</B></P> <P>Mitigating for the negative impacts of stormwater runoff is becoming a concern due to increased land development. Understanding how land development influences stormwater runoff is essential for sustainably managing water resources. In recent years, aggregate low impact development-best management practices (LID-BMPs) have been implemented to reduce the negative impacts of stormwater runoff on receiving water bodies. This study used an integrated approach to determine the influence of land development and assess the ecological benefits of four aggregate LID-BMPs in stormwater runoff from a mixed land use and land cover (LULC) catchment with ongoing land development. It used data from 2011 to 2015 that monitored 41 storm events and monthly LULC, and a Personalized Computer Storm Water Management Model (PCSWMM). The four aggregate LID-BMPs are: ecological (S1), utilizing pervious covers (S2), and multi-control (S3) and (S4). These LID-BMPs were designed and distributed in the study area based on catchment characteristics, cost, and effectiveness. PCSWMM was used to simulate the monitored storm events from 2014 (calibration: R<SUP>2</SUP> and NSE>0.5; RMSE <11) and 2015 (validation: R<SUP>2</SUP> and NSE>0.5; RMSE <12). For continuous simulation and analyzing LID-BMPs scenarios, the five-year (2011 to 2015) stormwater runoff data and LULC change patterns (only 2015 for LID-BMPs) were used. Results show that the expansion of bare land and impervious cover, soil alteration, and high amount of precipitation influenced the stormwater runoff variability during different phases of land development. The four aggregate LID-BMPs reduced runoff volume (34%–61%), peak flow (6%–19%), and pollutant concentrations (53%–83%). The results of this study, in addition to supporting local LULC planning and land development activities, also could be applied to input data for empirical modeling, and designing sustainable stormwater management guidelines and monitoring strategies.</P> <P><B>Highlights</B></P> <P> <UL> <LI> A long-term monitoring of stormwater runoff and LULC change was implemented. </LI> <LI> PCSWMM was used to assess the response of runoff on land development and LID-BMPs. </LI> <LI> Land use and rainfall pattern influenced the variability of stormwater runoff. </LI> <LI> LID-BMPs help to reduce the negative impacts of land development. </LI> <LI> LID-BMPs design depends on site characteristics, needs and community resources. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>

Monitoring and predicting the fecal indicator bacteria concentrations from agricultural, mixed land use and urban stormwater runoff

Paule-Mercado, M.A.,Ventura, J.S.,Memon, S.A.,Jahng, D.,Kang, J.-H.,Lee, C.-H. Elsevier 2016 Science of the Total Environment Vol.550 No.-

<P><B>Abstract</B></P> <P>While the urban runoff are increasingly being studied as a source of fecal indicator bacteria (FIB), less is known about the occurrence of FIB in watershed with mixed land use and ongoing land use and land cover (LULC) change. In this study, <I>Escherichia coli</I> (EC) and fecal streptococcus (FS) were monitored from 2012 to 2013 in agricultural, mixed and urban LULC and analyzed according to the most probable number (MPN). Pearson correlation was used to determine the relationship between FIB and environmental parameters (physicochemical and hydrometeorological). Multiple linear regressions (MLR) were used to identify the significant parameters that affect the FIB concentrations and to predict the response of FIB in LULC change. Overall, the FIB concentrations were higher in urban LULC (EC=3.33–7.39; FS=3.30–7.36log<SUB>10</SUB> MPN/100mL) possibly because of runoff from commercial market and 100% impervious cover (IC). Also, during early-summer season; this reflects a greater persistence and growth rate of FIB in a warmer environment. During intra-event, however, the FIB concentrations varied according to site condition. Anthropogenic activities and IC influenced the correlation between the FIB concentrations and environmental parameters. Stormwater temperature (TEMP), turbidity, and TSS positively correlated with the FIB concentrations (<I>p</I> >0.01), since IC increased, implying an accumulation of bacterial sources in urban activities. TEMP, BOD<SUB>5</SUB>, turbidity, TSS, and antecedent dry days (ADD) were the most significant explanatory variables for FIB as determined in MLR, possibly because they promoted the FIB growth and survival. The model confirmed the FIB concentrations: EC (R<SUP>2</SUP> =0.71–0.85; NSE=0.72–0.86) and FS (R<SUP>2</SUP> =0.65–0.83; NSE=0.66–0.84) are predicted to increase due to urbanization. Therefore, these findings will help in stormwater monitoring strategies, designing the best management practice for FIB removal and as input data for stormwater models.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Land use and anthropogenic activities influenced the FIB intra-event variability. </LI> <LI> Urban runoff had the highest levels of fecal contamination. </LI> <LI> Temperature, TSS and turbidity correlated significantly with FIB concentrations. </LI> <LI> MLR identified significant environmental parameter affects on FIB concentrations. </LI> <LI> The FIB concentrations were predicted to increase due to urbanization. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>

Efficient Markov Chain Monte Carlo for Bayesian Analysis of Neural Network Models

PaulE.Green,ChanghaHwang,SangbockLee 한국통계학회 2002 Journal of the Korean Statistical Society Vol.31 No.1

Monitoring and quantification of stormwater runoff from mixed land use and land cover catchment in response to land development

Paule-Mercado, Ma. Cristina A.,Salim, Imran,Lee, Bum-Yeon,Memon, Sheeraz,Sajjad, Raja Umer,Sukhbaatar, Chinzorig,Lee, Chang-Hee Elsevier 2018 Ecological Indicators Vol.93 No.-

<P><B>Abstract</B></P> <P>Understanding the influence of land use and land cover (LULC) change in stormwater runoff is important for watershed management. In this study, integration of 31 storm events, monthly monitoring of LULC change, Pearson’s correlation, multiple linear regression analysis (MLR) and Personalized Computer Storm Water Management Model (PCSWMM) were applied to quantify the influence of LULC change on stormwater quality from mixed LULC catchment with ongoing land development in Yongin, South Korea. Due to ongoing land development in the catchment, bare land and urban LULC were exponentially increased while agriculture, forest, grassland and water LULC decreased in spatial extent. The correlation analysis showed that stormwater quality was positively correlated to bare land (0.595; Cl – 0.891; TSS, <I>p</I> < 0.05) and urban (0.768; TN – 0.987; TSS, <I>p</I> < 0.05); negatively correlated to forest (−0.593; Cu – 0.532; BOD<SUB>5</SUB>, <I>p</I> < 0.05) and grassland (−0.587; TSS – 0.512; BOD<SUB>5</SUB>, <I>p</I> < 0.05) and; either positively or no correlation to agriculture (0.064; Cu – 0.871; TSS, <I>p</I> < 0.05) and water (−0.131; Cl – 0.221; TP, <I>p</I> < 0.05). Furthermore, the MLR analysis showed that combinations of different LULC were able to describe the overall stormwater quality of the catchment. Moreover, the LULC scenario analysis demonstrate that under dominant agriculture (S1), bare land (S2) and urban areas (S5), the average pollutant concentrations would increase by as much as 13.22% (Cl; S2; pre-) to 59.25% (TSS; S5; early-active); while under dominant forest (S3) and grassland (S4) the average pollutant concentration would decrease by as much as −53% (Pb; S3; late-active) to −3.22% (BOD<SUB>5</SUB>; S4; pre-). These findings explained that the variability of pollutant concentrations in different phase of land development was affected by expansion of bare land and urban spatial extent, increase of hydrological characteristics (total rainfall and average rainfall intensity) and massive soil activities (soil digging and soil transfer). Therefore, results of this study will provide scientific information to establish a cost-effective stormwater management, development of empirical model, and designing monitoring strategies and guidelines to minimize the negative impact of LULC change on stormwater runoff.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Long-term LULC and stormwater monitoring advanced the current watershed management. </LI> <LI> PCSWMM was used to evaluate the influence of land development on stormwater runoff. </LI> <LI> Land development influences the variability of pollutant concentration in runoff. </LI> <LI> Conversion of vegetation to bare land and urban is the major stormwater stressor. </LI> <LI> Expansion of vegetation cover was not enough to achieve the water quality criteria. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>

Fecal contamination in Yongin watershed: association to land use and land cover and stormwater quality

Paule, Ma. Cristina A.,Ventura, Jey-R S.,Memon, Sheeraz,Lee, Bum-Yeon,Jahng, Deokjin,Kang, Min-Ji,Lee, Chang-Hee Taylor Francis 2015 Desalination and Water Treatment Vol.53 No.11

The Impact of Real Exchange Rate Depreciation on Cameroon's Trade Balance: Is Devaluation a Remedy for Persistent Trade Deficits?

Laetitia Paule Sokeng Dongfack,Hongbing Ouyang 세종대학교 경제통합연구소 2019 Journal of Economic Integration Vol.34 No.1

Time series data from 1980 to 2016 were analyzed in this paper in order to estimate the impact of the local currency (CFA franc) devaluation on the Cameroon’s Trade Balance. The estimation of short-run and long-run relationships between the variables using Johansen Cointegration and Vector Error Correction Model (VECM) as a mean to examine whether the Marshall-Lerner Condition (MLC) and the J-Curve phenomenon hold in the case of Cameroon gives mitigated results: Although the MLC is not met for this country, as the sum of the elasticities of demand for exports and imports is not greater than unity, the empirical analysis results provide evidence of the correction in the long-run of a prior deterioration of the trade balance at an adjustment speed of 81.17%, thus supporting the existence of the J-curve pattern.

Forestry Education in Slovakia

( Ladislav Paule ),( L`ubomir Scheer ) 한국임학회 2005 Forest Science And Technology Vol.1 No.2

Urban Horticulture in Africa and Asia, an Efficient Corner Food Supplier

Moustier Paule 한국원예학회 2006 한국원예학회 기타간행물 Vol.- No.-

L'utilisation du Document Video Authentique dans la Classe de Langue.

( Marie-paule Gaube ) 한국외국어대학교 EU연구소 1997 EU연구 Vol.- No.3

PLAIDOYER POUR UNE EDUCATION BILINGUE-MULTILINGUE

Marie-Paule GAYBE 프랑스학회 1997 프랑스학연구 Vol.15 No.-