Pub Date : 2023-09-18DOI: 10.1080/15715124.2023.2260361
Pedro Henrique de Godoy Fernandes, Tatiana Acácio da Silva, Miqueias Lima Duarte, Jackson de Sousa, Francisco Antônio Dupas
Abstract:In this paper, we present an environmental vulnerability index (EVI) based on the fuzzy inference system. The factors used for the formulation of the EVI were forest factor (FF), hydrological factor (HF) and environmental factor (EF), and used the Itupararanga environmental protection area (EPA) as a case study. The results showed that for the years studied (2012 and 2019), most forest fragments were classified as having a very low FF. Almost half of the water bodies presented a very low HF in 2012, which was also the case in 2019. Most areas of the EPA were classified as having a medium EF in 2012, while in 2019 they were classified as low. From these indices, in the two years, it was observed that most areas were classified with a very low EVI. Despite the very low EVI, it was observed that fragments with areas smaller than 50 hectares were suppressed. Therefore, it is necessary to encourage the creation of public policies aimed at the conservation of areas subject to anthropogenic pressure and restoration of forests in suppressed areas.Keywords: Atlantic Forestforest fragmentsenvironmental fragilityfuzzy logicDisclaimerAs a service to authors and researchers we are providing this version of an accepted manuscript (AM). Copyediting, typesetting, and review of the resulting proofs will be undertaken on this manuscript before final publication of the Version of Record (VoR). During production and pre-press, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal relate to these versions also. Additional informationFundingThis study was supported by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brazil (CAPES) – Code Financing 001.
{"title":"Fuzzy inference system for environmental vulnerability assessment of protected areas: a case study of the Itupararanga environmental protection area in southeastern Brazil","authors":"Pedro Henrique de Godoy Fernandes, Tatiana Acácio da Silva, Miqueias Lima Duarte, Jackson de Sousa, Francisco Antônio Dupas","doi":"10.1080/15715124.2023.2260361","DOIUrl":"https://doi.org/10.1080/15715124.2023.2260361","url":null,"abstract":"Abstract:In this paper, we present an environmental vulnerability index (EVI) based on the fuzzy inference system. The factors used for the formulation of the EVI were forest factor (FF), hydrological factor (HF) and environmental factor (EF), and used the Itupararanga environmental protection area (EPA) as a case study. The results showed that for the years studied (2012 and 2019), most forest fragments were classified as having a very low FF. Almost half of the water bodies presented a very low HF in 2012, which was also the case in 2019. Most areas of the EPA were classified as having a medium EF in 2012, while in 2019 they were classified as low. From these indices, in the two years, it was observed that most areas were classified with a very low EVI. Despite the very low EVI, it was observed that fragments with areas smaller than 50 hectares were suppressed. Therefore, it is necessary to encourage the creation of public policies aimed at the conservation of areas subject to anthropogenic pressure and restoration of forests in suppressed areas.Keywords: Atlantic Forestforest fragmentsenvironmental fragilityfuzzy logicDisclaimerAs a service to authors and researchers we are providing this version of an accepted manuscript (AM). Copyediting, typesetting, and review of the resulting proofs will be undertaken on this manuscript before final publication of the Version of Record (VoR). During production and pre-press, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal relate to these versions also. Additional informationFundingThis study was supported by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brazil (CAPES) – Code Financing 001.","PeriodicalId":14344,"journal":{"name":"International Journal of River Basin Management","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135148887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-08DOI: 10.1080/15715124.2023.2249436
M. Behrouz, Saeed Alimohammadi
{"title":"Risk management and components’ coordination assessment in the design of a composite riverine flood defence system","authors":"M. Behrouz, Saeed Alimohammadi","doi":"10.1080/15715124.2023.2249436","DOIUrl":"https://doi.org/10.1080/15715124.2023.2249436","url":null,"abstract":"","PeriodicalId":14344,"journal":{"name":"International Journal of River Basin Management","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49427933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-15DOI: 10.1080/15715124.2023.2248488
M. Aredo, T. K. Lohani, A. Mohammed
{"title":"Assessment of river response to water abstractions in the Weyib Watershed, Ethiopia","authors":"M. Aredo, T. K. Lohani, A. Mohammed","doi":"10.1080/15715124.2023.2248488","DOIUrl":"https://doi.org/10.1080/15715124.2023.2248488","url":null,"abstract":"","PeriodicalId":14344,"journal":{"name":"International Journal of River Basin Management","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43493538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-08DOI: 10.1080/15715124.2023.2242830
Shella I. Talampas, S. Shrestha, S. Mohanasundaram, H. Loc
{"title":"Development of a watershed health assessment framework integrating ecological, social, cultural, economic and policy attributes","authors":"Shella I. Talampas, S. Shrestha, S. Mohanasundaram, H. Loc","doi":"10.1080/15715124.2023.2242830","DOIUrl":"https://doi.org/10.1080/15715124.2023.2242830","url":null,"abstract":"","PeriodicalId":14344,"journal":{"name":"International Journal of River Basin Management","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48367417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-07DOI: 10.1080/15715124.2023.2245809
M. Alipour
{"title":"Streamflow prediction in ungauged basins located within data-scarce areas using XGBoost: role of feature engineering and explainability","authors":"M. Alipour","doi":"10.1080/15715124.2023.2245809","DOIUrl":"https://doi.org/10.1080/15715124.2023.2245809","url":null,"abstract":"","PeriodicalId":14344,"journal":{"name":"International Journal of River Basin Management","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45276134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-03DOI: 10.1080/15715124.2022.2047711
Willian Leandro Henrique Pinto, Laura Maria Canno Ferreira Fais
ABSTRACT There is a great number of small dams around the world, usually built in private rural properties, for irrigation, animal watering or aquaculture; as they are getting old, the probability of a failure increases. In Brazil, the Brazilian National Policy of Dam Safety was approved, but it is intended only for large dams, unless it is classified with medium or high Associated Potential Damage. Usually, risk analysis methods are used to assess the safety of a dam, but this may be unfeasible for small dams, as it is costly and time-consuming, which is not affordable for small dams’ managers. This article proposed the Small Dams Safety Index (SDSI), which is a matrix with classification criteria to evaluate the safety of small dams. Besides providing a general level of the safety of a dam, it also helps to prioritize actions of maintenance, allowing the small dam’s manager to optimize time and financial resources.
{"title":"The Small Dams Safety Index (SDSI): a tool for small dams safety assessment","authors":"Willian Leandro Henrique Pinto, Laura Maria Canno Ferreira Fais","doi":"10.1080/15715124.2022.2047711","DOIUrl":"https://doi.org/10.1080/15715124.2022.2047711","url":null,"abstract":"ABSTRACT There is a great number of small dams around the world, usually built in private rural properties, for irrigation, animal watering or aquaculture; as they are getting old, the probability of a failure increases. In Brazil, the Brazilian National Policy of Dam Safety was approved, but it is intended only for large dams, unless it is classified with medium or high Associated Potential Damage. Usually, risk analysis methods are used to assess the safety of a dam, but this may be unfeasible for small dams, as it is costly and time-consuming, which is not affordable for small dams’ managers. This article proposed the Small Dams Safety Index (SDSI), which is a matrix with classification criteria to evaluate the safety of small dams. Besides providing a general level of the safety of a dam, it also helps to prioritize actions of maintenance, allowing the small dam’s manager to optimize time and financial resources.","PeriodicalId":14344,"journal":{"name":"International Journal of River Basin Management","volume":"21 1","pages":"551 - 558"},"PeriodicalIF":2.5,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"59981995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ABSTRACT River health assessments and threat analysis on the riparian corridors in Sub-Saharan Africa have received little or no attention, therefore this study assessed the healthiness of riparian corridors using the Rapid Appraisal of Riparian Condition (RARC) indices within a river catchment. The biogeography of the riparian corridor, factors responsible for the modification of riparian vegetation, and causes of riparian disturbance were examined. Twelve study sites were randomly selected from where reaches were identified. The riparian corridor extents were delimited from the bank of the river to the uppermost point within reaches. Species diversity indices were computed while bank height, width, and average depth were measured. Also, cross-sectional area and river discharge were derived along each riparian zone using standard measurement techniques. The ecological values and threat severity along each riparian zone were assessed following the RARC model. The ecological values and disturbance level revealed r as −0.7(p < 0.05). The variation in species composition along the river orders suggests that the first-order streams have the highest number of taxa. The level of ecological destruction is fairly low in the first-order streams and increases as order increases. This study concludes that higher-order rivers have low diversity, low ecological values, and consequently, relatively poor health, especially when under severe anthropogenic pressure.
{"title":"Riparian health conditions of headwater streams in Southwestern Nigeria","authors":"Olutoyin Adeola Fashae, Opeyemi Caleb Fatayo, Adeyemi Olusola","doi":"10.1080/15715124.2022.2047710","DOIUrl":"https://doi.org/10.1080/15715124.2022.2047710","url":null,"abstract":"ABSTRACT River health assessments and threat analysis on the riparian corridors in Sub-Saharan Africa have received little or no attention, therefore this study assessed the healthiness of riparian corridors using the Rapid Appraisal of Riparian Condition (RARC) indices within a river catchment. The biogeography of the riparian corridor, factors responsible for the modification of riparian vegetation, and causes of riparian disturbance were examined. Twelve study sites were randomly selected from where reaches were identified. The riparian corridor extents were delimited from the bank of the river to the uppermost point within reaches. Species diversity indices were computed while bank height, width, and average depth were measured. Also, cross-sectional area and river discharge were derived along each riparian zone using standard measurement techniques. The ecological values and threat severity along each riparian zone were assessed following the RARC model. The ecological values and disturbance level revealed r as −0.7(p < 0.05). The variation in species composition along the river orders suggests that the first-order streams have the highest number of taxa. The level of ecological destruction is fairly low in the first-order streams and increases as order increases. This study concludes that higher-order rivers have low diversity, low ecological values, and consequently, relatively poor health, especially when under severe anthropogenic pressure.","PeriodicalId":14344,"journal":{"name":"International Journal of River Basin Management","volume":"21 1","pages":"539 - 550"},"PeriodicalIF":2.5,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"59982233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-03DOI: 10.1080/15715124.2023.2229802
N. Grigg
{"title":"Colorado River Basin: conflict management under hydrologic stress and institutional gridlock","authors":"N. Grigg","doi":"10.1080/15715124.2023.2229802","DOIUrl":"https://doi.org/10.1080/15715124.2023.2229802","url":null,"abstract":"","PeriodicalId":14344,"journal":{"name":"International Journal of River Basin Management","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43769750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-15DOI: 10.1080/15715124.2023.2218094
Nibedita Samal, R. Ashwin, Qichun Yang, Ankit Singh, Sanjeev Kumar Jha, Q. J. Wang
Skilful precipitation ensemble forecasts are necessary to produce trustworthy hydrologic predictions. Raw quantitative precipitation forecasts (QPFs) from the numerical weather prediction (NWP) models are known to be error-prone. In this study, sub-basin averaged deterministic QPFs with five-day lead times from the European Centre for Medium-Range Weather Forecasts (ECMWF) are post-processed through the Seasonally Coherent Calibration (SCC) model for the Narmada and Godavari River basins of India. The SCC model incorporates seasonal climatology from long observations into forecasts and produces calibrated forecasts based on a joint probability model. The SCC model results are compared with the post-processed forecasts from the state-of-the-art Quantile Mapping (QM) method. The results suggest that the probabilistic ensemble forecasts generated from the SCC model have improved skill throughout five-day lead times. Further, the application of SCC-calibrated precipitation forecasts is demonstrated using the Soil & Water Assessment Tool (SWAT) to generate streamflow forecasts.
{"title":"Post-processing quantitative precipitation forecasts using the seasonally coherent calibration model","authors":"Nibedita Samal, R. Ashwin, Qichun Yang, Ankit Singh, Sanjeev Kumar Jha, Q. J. Wang","doi":"10.1080/15715124.2023.2218094","DOIUrl":"https://doi.org/10.1080/15715124.2023.2218094","url":null,"abstract":"Skilful precipitation ensemble forecasts are necessary to produce trustworthy hydrologic predictions. Raw quantitative precipitation forecasts (QPFs) from the numerical weather prediction (NWP) models are known to be error-prone. In this study, sub-basin averaged deterministic QPFs with five-day lead times from the European Centre for Medium-Range Weather Forecasts (ECMWF) are post-processed through the Seasonally Coherent Calibration (SCC) model for the Narmada and Godavari River basins of India. The SCC model incorporates seasonal climatology from long observations into forecasts and produces calibrated forecasts based on a joint probability model. The SCC model results are compared with the post-processed forecasts from the state-of-the-art Quantile Mapping (QM) method. The results suggest that the probabilistic ensemble forecasts generated from the SCC model have improved skill throughout five-day lead times. Further, the application of SCC-calibrated precipitation forecasts is demonstrated using the Soil & Water Assessment Tool (SWAT) to generate streamflow forecasts.","PeriodicalId":14344,"journal":{"name":"International Journal of River Basin Management","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134891950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-24DOI: 10.1080/15715124.2023.2216936
Beyza Atiye Cikmaz, Enes Yildirim, I. Demir
Floods affect over 2.2 billion people worldwide, and their frequency is increasing at an alarming rate compared to other natural disasters. Presidential disaster declarations have issued increasingly almost every year in Iowa for the past 30 years, indicating that the state is on the rise of flood risk. While significant scientific and technological advancement is becoming available for many flood mitigation activities, their on-the-ground consequences are hampered, among other things, by the lack of tools to quickly integrate the growing data into accessible and usable flood mitigation decisions. A multi-disciplinary approach is required, in which the underlying hydrologic processes that cause floods are closely linked with watershed-level socio-economic functions using effective collaboration tools to ensure community participation in the co-production of mitigation plans while paying attention to socio-environmental justice principles. Considering the existing limitations and needs, we conducted a flood risk assessment by utilizing geophysical and socio-economic datasets for a case study in Cedar Rapids, Iowa. Flood risk outputs are generated based on three main risk groups: geophysical-based flood risk, socioeconomic risk, and combined flood risk. Our results indicate that high- and very-high-risk flood susceptibility zones are primarily located in central urban areas with lower elevations. According to overall results, a large area of Cedar Rapids consists of a medium risk level according to the flood risk map combined with the fuzzy AHP method. The results show that high and very high-risk areas are 16% of the examined area, medium, low and very low-risk areas correspond to 84%. Besides, nearly 40% of the population lives in high to very high flood risk zones.
{"title":"Flood Susceptibility Mapping using Fuzzy Analytical Hierarchy Process for Cedar Rapids, Iowa","authors":"Beyza Atiye Cikmaz, Enes Yildirim, I. Demir","doi":"10.1080/15715124.2023.2216936","DOIUrl":"https://doi.org/10.1080/15715124.2023.2216936","url":null,"abstract":"Floods affect over 2.2 billion people worldwide, and their frequency is increasing at an alarming rate compared to other natural disasters. Presidential disaster declarations have issued increasingly almost every year in Iowa for the past 30 years, indicating that the state is on the rise of flood risk. While significant scientific and technological advancement is becoming available for many flood mitigation activities, their on-the-ground consequences are hampered, among other things, by the lack of tools to quickly integrate the growing data into accessible and usable flood mitigation decisions. A multi-disciplinary approach is required, in which the underlying hydrologic processes that cause floods are closely linked with watershed-level socio-economic functions using effective collaboration tools to ensure community participation in the co-production of mitigation plans while paying attention to socio-environmental justice principles. Considering the existing limitations and needs, we conducted a flood risk assessment by utilizing geophysical and socio-economic datasets for a case study in Cedar Rapids, Iowa. Flood risk outputs are generated based on three main risk groups: geophysical-based flood risk, socioeconomic risk, and combined flood risk. Our results indicate that high- and very-high-risk flood susceptibility zones are primarily located in central urban areas with lower elevations. According to overall results, a large area of Cedar Rapids consists of a medium risk level according to the flood risk map combined with the fuzzy AHP method. The results show that high and very high-risk areas are 16% of the examined area, medium, low and very low-risk areas correspond to 84%. Besides, nearly 40% of the population lives in high to very high flood risk zones.","PeriodicalId":14344,"journal":{"name":"International Journal of River Basin Management","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49248577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：