Search Results - "Stochastic environmental research and risk assessment"

A machine learning forecasting model for COVID-19 pandemic in India by Sujath, R., Chatterjee, Jyotir Moy, Hassanien, Aboul Ella

“…Coronavirus disease (COVID-19) is an inflammation disease from a new virus. The disease causes respiratory ailment (like influenza) with manifestations, for…”
Get full text

Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model by Barzegar, Rahim, Aalami, Mohammad Taghi, Adamowski, Jan

“…Water quality monitoring is an important component of water resources management. In order to predict two water quality variables, namely dissolved oxygen (DO;…”
Get full text

Application of an enhanced BP neural network model with water cycle algorithm on landslide prediction by Zhang, Yong-gang, Tang, Jun, Liao, Rao-ping, Zhang, Ming-fei, Zhang, Yan, Wang, Xiao-ming, Su, Zheng-yang

“…The landslide caused a huge disaster to the living environment and seriously threatened the lives and property safety of nearby residents. Assess or predict…”
Get full text

Monthly runoff forecasting based on LSTM–ALO model by Yuan, Xiaohui, Chen, Chen, Lei, Xiaohui, Yuan, Yanbin, Muhammad Adnan, Rana

“…Accurate runoff forecasting plays an important role in management and utilization of water resources. This paper investigates the accuracy of hybrid long…”
Get full text

Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms by Talukdar, Swapan, Ghose, Bonosri, Shahfahad, Salam, Roquia, Mahato, Susanta, Pham, Quoc Bao, Linh, Nguyen Thi Thuy, Costache, Romulus, Avand, Mohammadtaghi

“…The flooding in Bangladesh during monsoon season is very common and frequently happens. Consequently, people have been experiencing tremendous damage to…”
Get full text

Flood susceptibility analysis and its verification using a novel ensemble support vector machine and frequency ratio method by Tehrany, Mahyat Shafapour, Pradhan, Biswajeet, Jebur, Mustafa Neamah

“…Flood is one of the most commonly occurred natural hazards worldwide. Severe flood occurrences in Kelantan, Malaysia cause damage to both life and property…”
Get full text

Renewable energy, economic freedom and economic policy uncertainty: New evidence from a dynamic panel threshold analysis for the G-7 and BRIC countries by Işık, Cem, Simionescu, Mihaela, Ongan, Serdar, Radulescu, Magdalena, Yousaf, Zahid, Rehman, Abdul, Alvarado, Rafael, Ahmad, Munir

“…This study aims to demonstrate the impact of renewable energy consumption (REC) on environmental degradation using the EKC hypothesis testing for the BRIC and…”
Get full text

Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction by Malik, Anurag, Tikhamarine, Yazid, Souag-Gamane, Doudja, Kisi, Ozgur, Pham, Quoc Bao

“…Accurate and reliable prediction of streamflow is vital to the optimization of water resources management, reservoir flood operations, catchment, and urban…”
Get full text

Exposure and health: A progress update by evaluation and scientometric analysis by Kumar, Roshini Praveen, Perumpully, Steffi Joseph, Samuel, Cyril, Gautam, Sneha

“…Several hands are now working worldwide to reduce exposure to air pollution, especially in developing nations. Future steps should be determined and classified…”
Get full text

Review of landslide susceptibility assessment based on knowledge mapping by Yong, Chen, Jinlong, Dong, Fei, Guo, Bin, Tong, Tao, Zhou, Hao, Fang, Li, Wang, Qinghua, Zhan

“…Landslide susceptibility assessment is highly valuable for disaster prevention and mitigation. This study utilized the aspects of data and content to…”
Get full text

Stream water quality prediction using boosted regression tree and random forest models by Alnahit, Ali O., Mishra, Ashok K., Khan, Abdul A.

“…Reliable water quality prediction can improve environmental flow monitoring and the sustainability of the stream ecosystem. In this study, we compared two…”
Get full text

Projections of precipitation over China based on CMIP6 models by Tian, Jiaxi, Zhang, Zengxin, Ahmed, Zeeshan, Zhang, Leying, Su, Buda, Tao, Hui, Jiang, Tong

“…Precipitation fluctuations are continuously threatening the environment and may cause huge economic losses. In present study, the precipitation over China has…”
Get full text

A comparative study of mutual information-based input variable selection strategies for the displacement prediction of seepage-driven landslides using optimized support vector regression by Ma, Junwei, Wang, Yankun, Niu, Xiaoxu, Jiang, Sheng, Liu, Zhiyang

“…Artificial intelligence (AI) is becoming increasingly popular and useful for modeling landslide movement processes due to its advantages of providing excellent…”
Get full text

Non-crossing nonlinear regression quantiles by monotone composite quantile regression neural network, with application to rainfall extremes by Cannon, Alex J.

“…The goal of quantile regression is to estimate conditional quantiles for specified values of quantile probability using linear or nonlinear regression…”
Get full text

An improved long short-term memory network for streamflow forecasting in the upper Yangtze River by Zhu, Shuang, Luo, Xiangang, Yuan, Xiaohui, Xu, Zhanya

“…Characterized by essential complexity, dynamism, and dynamics, streamflow forecasting presents a great challenge to hydrologists. Long short-term memory (LSTM)…”
Get full text

Drought indicator analysis and forecasting using data driven models: case study in Jaisalmer, India by Elbeltagi, Ahmed, Kumar, Manish, Kushwaha, N. L., Pande, Chaitanya B., Ditthakit, Pakorn, Vishwakarma, Dinesh Kumar, Subeesh, A.

“…Agricultural droughts are a prime concern for economies worldwide as they negatively impact the productivity of rain-fed crops, employment, and income per…”
Get full text

Development of new machine learning model for streamflow prediction: case studies in Pakistan by Adnan, Rana Muhammad, Mostafa, Reham R., Elbeltagi, Ahmed, Yaseen, Zaher Mundher, Shahid, Shamsuddin, Kisi, Ozgur

“…For accurate estimation of streamflow of a mountainous river basin, a novel hybrid method is developed in this study, where gradient-based optimization (GBO)…”
Get full text

Sensitivity of normalized difference vegetation index (NDVI) to land surface temperature, soil moisture and precipitation over district Gautam Buddh Nagar, UP, India by Sharma, Manish, Bangotra, Pargin, Gautam, Alok Sagar, Gautam, Sneha

“…This study examines the trends in MODIS/TERRA derived Normalized Difference Vegetation Index (NDVI) and its correlation with Land Surface Temperature (LST),…”
Get full text

Investigating effect of climate change on drought propagation from meteorological to hydrological drought using multi-model ensemble projections by Jehanzaib, Muhammad, Sattar, Muhammad Nouman, Lee, Joo-Heon, Kim, Tae-Woong

“…Climate change is a main driving force that affects the hydrological cycle, leading to an increase in natural hazards. Among these natural hazards, drought is…”
Get full text

Flash-flood Potential Index mapping using weights of evidence, decision Trees models and their novel hybrid integration by Costache, Romulus

“…Flash-floods are among the natural risk phenomena that annually cause important material damages and losses of human lives worldwide. One of the main…”
Get full text