Computers in Earth and Environmental Sciences: Artificial Intelligence and Advanced Technologies in Hazards and Risk Management
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| Sprache: | English |
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Amsterdam ; Oxford ; Cambridge, MA
Elsevier
[2022]
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| Beschreibung: | xvii, 683 Seiten Illustrationen, Diagramme, Karten |
| ISBN: | 9780323898614 |
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| adam_text | Contents Contributors Acknowledgments xiii xvii 5. Conclusions References 5. Assessment of machine learning algorithms in land use classification 1. Predicting dissolved oxygen concentration in river using new advanced machines learning: Long-short term memory (LSTM) deep learning HASSAN KHAVARIAN NEHZAK, MARYAM AGHAEI, RAOOF MOSTAFAZADEH, AND HAMIDREZA RABIEI-DASTĮERDI SAUM HEDDAM, SUNGWON KIM, ALI DANANDEH MEHR, MOHAMMAD ZOUNEMAT-KERMANI, ANURAG MALIK, AHMED ELBELTAGI, AND OZGUR KISI 1. introduction 2. Materials and methods 3. Methodology 4. Results 5. Discussion 6. Conclusions References 1 3 4 10 15 18 18 21 22 26 29 35 35 MAHBOOBEH KIANI-HARCHEGANI, ALI TALEBİ, EBRAHIM ASGARİ, AND JESÚS RODRIGO-COMINO 1. Introduction 2. Terminology and definition of hillslope geometry 3. Three-dimensional hillslopes characteristics in hydrological models 4. Conclusion Acknowledgments References SAHA DAUJI AND TIRUMALESH KEESARI 37 38 47 52 53 53 53 53 117 118 119 124 125 125 8. Mapping the NDVI and monitoring of its changes using Google Earth Engine and Sentinel-2 images 4· Application of analytical hierarchy process (AHP) in landslide susceptibility mapping for Qazvin province, N Iran MAHDIS AMIRI AND HAMID REZA POURGHASEMI 1, Introduction 2, Doroudzan Dam Watershed 3, Methodology 4, Results 5, Discussion 6, Conclusion References EBRAHIM SHARIFI TESHNIZI, MOHSEN GOLIAN, SHAHRIAR SADEGHI, AND AHMAD RASTEGARNIA Introduction Study area Material and methods Results and discussion 105 106 107 109 112 113 7. Topographical features and soil erosion processes 3. A data-driven approach for
estimating contaminants in natural water 1. 2. 3. 4. 97 97 100 103 103 6. Evaluation of land use change predictions using CA-Markov model and management scenarios 1. Introduction 2. Definitions and background 3. Material and method 4. Results and discussion 5. Conclusion References MOJDEH MOHAMMAD1 KHOSHOUI AND MOHAMMAD REZA EKHTESASI 1. Introduction 2. Data and methods 3. Results and discussion 4. Conclusions Acknowledgments Conflict of interest Data availability References 1. Introduction 2. Material and method 3. Results 4. Conclusion References HASSAN KHAVARIAN NEHZAK, MARYAM AGHAEI, RAOOF MOSTAFAZADEH, AND HAMIDREZA RABIEI-DASTĮERDI 2. Fractal analysis of valley sections in geological formations of arid areas 1. Introduction 2. Materials and methods 3. Results 4. Discussion 5. Conclusion References 92 94 55 55 57 61 vii 127 128 128 129 133 134 135
viii Contents 9. Spatiotemporal urban sprawl and land resource assessment using Google Earth Engine platform in Lahore district, Pakistan 14. Analysis of social resilience of villagers in the face of drought using LPCIEA indicator case study: Downstream of Dorodzan dam ADEEL AHMAD, HAMMAD GUANI, SAFDAR AU SHIRAZI, HAMID REZA POURGHASEMI, AND IFRAH SHAUKAT PAYAM EBRAHIMI 1. Introduction 2. Study area 3. Methodology 4. Results and discussion 5. Conclusion References 137 139 140 141 148 149 1. Introduction 2. Methodology 3. Results 4· Discussion 5. Conclusion Acknowledgments References 199 200 207 217 217 217 217 10. Using OWA-AHP method to predict landslide-prone areas 15. Spatial and seasonal modeling of the land surface temperature using random forest MARZIEH MOKARRAM AND HAMID REZA POURGHASEMI SOHEILA POUYAN, SOROOR RAHMAN IAN, ATIYEH AMİNDİN, AND HAMID REZA POURGHASEMI 1. Introduction 2. Study area 3. Material and methods 4· Results and discussion 5. Conclusions Acknowledgments References 151 152 152 159 167 167 167 ARNOLD R, SALVACION 169 170 172 175 177 177 12. Selection of the best pixel-based algorithm for land cover mapping in Zagros forests of Iran using Sentinel-2A data: A case study in Khuzestan province SAEEDEH ESKANDARI, SAJJAD ALI MAHMOUDI SARAB, MEHDİ POURHASHEMI, AND FATEMEH AHMADLOO 1. Introduction 2. Material and methods 3. Results 4. Discussions 5. Conclusions References HAZHIR KARIMI, HOOSHYAR HOSSINI, AND ABDULFATTAH AHMAD AMIN 1. Introduction 2. Study area 3. Data and methods 4. Results and discussion 5. Conclusion Acknowledgments Conflict of interests
References 235 236 236 239 242 243 243 243 17. Predictive habitat suitability models for Teucrium poUum L. using boosted regression trees 181 182 185 188 189 189 13. Identify the important driving forces on gully erosion, Chaharmahal and Bakhtiari province, Iran MOHAMMAD NEKOOEIMEHR, SALEH YOUSEFI, AND SAYED NAEIM EMAMI 1. Introduction 2. Materials and methods 3. Methodology 4. Results and discussion 5. Conclusion Acknowledgment References 221 222 225 231 231 16. Municipal landfill site selection and environmental impacts assessment using spatial multicriteria decision ana!ysis: A case study 11. Multiscale drought hazard assessment in the Philippines 1. Introduction 2. Methodology 3. Results 4. Discussion 5. Conclusion References 1. Introduction 2. Methodology 3. Results and discussion 4. Conclusion References 191 192 192 193 196 196 197 SOROOR RAHMANIAN, SOHEILA POUYAN, SAHAR KARAMI, AND HAMID REZA POURGHASEMI 1. Introduction 2. Material and method 3. Results 4. Discussions 5. Conclusion Funding Conflict of interest References 245 246 248 249 252 252 252 253 18. Ecoengineering practices for soil degradation protection of vulnerable hill slopes R. GOB1NATH, G.P. GANAPATHY, E. GAYATHIRI, ASHWINI ARUN SALUNKHE, AND HAMID REZA POURGHASEMI 1. Introduction 2. Materials and method 3. Role of vegetation in slope stability 255 256 259
ІХ Contents 4. Soil reinforcement 5. Discussion 6. Conclusion References 261 266 267 267 19. Soft computing applications in rainfall-induced landslide analysis and protection—Recent trends, techniques, and opportunities Introduction Classification factor Landslide analysis Landslide monitoring Machine learning Recent trends Opportunities Importance and future Historical outline of rainfall-induced landslide monitoring and mapping 10. Conclusion Appendix A References 271 272 272 273 273 278 278 278 279 285 285 285 20. Remote sensing and machine learning techniques to monitor fluvial corridor evolution: The Aras River between Iran and Azerbaijan KHOSRO FAZELPOOR, VANESA MARTÍNEZ-FERNÁNDEZ, SALEH YOUSEF1, AND DIEGO GARCIA DE JALÓN 1. Introduction 2. Methodology 3. Result 4. Discussion 5. Conclusion References 289 290 292 295 295 296 ABRAR YOUSUF, ANIL BHARDWAJ, SUKHDEEP SINGH, AND VISHNU PRASAD 1. Introduction 2. Materials and methods 3. Results and discussion 4. Conclusions References MAJID NIAZKAR AND MOHAMMAD ZAKWAN 1. Introduction 2. Materials and methods 3. Results 4· Discussion 5. Conclusions References MAHDIS AMIRI AND HAMID REZA POURGHASEMI E. GAYATHIRI, R. GOBINATH, G.P. GANAPATHY, ASHWINI ARUN SALUNKHE, J. JAYANTHI, M.G. RAOUNATHAN, AND HAMID REZA POURGHASEMI 26. Pest-infected oak trees identify using remote sensing-based classification algorithms 22. IoT applications in landslide prediction and abatement—Trends, opportunities, and challenges U. SINTHUJA, S. THAVAMANI, SANDHYA MAKKAR, R GOBINATH, AND E GAYATHIRI 1. Overview 2. Technology landscape 319 320 337 338 343
345 345 349 25. Predicting areas affected by forest fire based on a machine learning algorithm 21. Studies on plant selection framework for soil bioengineering application 299 300 304 312 313 314 327 328 330 334 334 24. Parameter estimation of a new four-parameter Muskingum flood routing model 1. Introduction 2. Materials and methods 3. Results 4. Discussion 5. Conclusion References 1. Introduction 2. Materials and methods 3. Results and discussion 4. Discussion 5. Conclusion References 321 321 322 324 324 23. Application of WEPP model for runoff and sediment yield simulation from ungauged watershed in Shivalik foot-hills ASHWIHt ARUN SALUNKHE, R. GOBiNATH, AND SANDHYA MAKKAR 1. 2. 3. 4. 5. 6. 7. 8. 9. 3. General view of IoT system for landslide prediction and abatement 4. Discussion of traditional andtrending technologies 5. IoT device communication technique 6. Conclusion References 351 352 357 359 360 360 SALEH YOUSEFI, FARSHAD HAGHIGHIAN, MOJTABA NAGHDYZADEGAN-JAHROMI, AND HAMID REZA POURGHASEMI 1. Introduction 2. Materials and methods 3. Methodology 4. Image classification algorithms 5. Accuracy assessment 6. Statistical analysis 7. Results 8. Discussion 9. Conclusion Acknowledgments References 363 364 366 366 367 368 368 369 374 374 374
x Contents 27. The COVID 19 crisis and its consequences for global warming and climate change 4. Conclusion References ABDULLAH KAVIANI RAD, MEHDİ ZAREI, HAMID REZA POURGHASEMI, AND JOHN P. TIEFENBACHER 32. Soil erodibility and its influential factors in the Middle East 1. Introduction 2. Results and discussion 3. Conclusions Conflict of interest References 377 378 383 384 384 28. Earthquake ionospheric and atmospheric anomalies from GNSS TEC and other satellites MUNAWAR SHAH 1. Introduction 2. Data and method 3. Results 4֊ Discussions 5. Conclusion References 387 388 390 395 397 397 29. Landslide spatial modeling using a bivariate statistica! method in Kermanshah Province, Iran MOJGAN BORDBAR, SINA PARYANI, AND HAMID REZA POURGHASEMI 1. Introduction 2. Study area 3. Methodology 4. Result and discussion 5. Conclusion References 401 402 403 410 413 414 30. Normalized difference vegetation index analysis of forest cover change detection in Paro Dzongkhag, Bhutan SANGEY PASANG, RIGZIN NORBU, SUREN TIMSINA, TSHERING WANGCHUK, AND PETR KUBÍČEK 1. Introduction 2. Study area 3. Methodology 4. Results 5. Discussion 6. Condusion Acknowledgments Conflicts of interest References 417 418 418 422 423 424 424 424 424 YASER OSTOVARI, ALI AKBAR MOOSAVI, HASAN MOZAFFARI, RAÚL ROBERTO POPPIEL, MAHBOOBEH TAYEBI, AND JOSÉ A.M. DEMATTÊ 1. Introduction 2. Material and methods 3. Results and discussion 4. Conclusion Acknowledgment References 441 443 445 451 452 452 33. Non-carcinogenic health risk assessment of fluoride in groundwater of the River Yamuna flood plain, Delhi, India SHAKIR ALI,
SHASHANK SHEKHAR, AND TRUPTI CHANDRASEKHAR 1. Introduction 2. Study area 3. Material and methods 4. Results and discussion 5. Conclusions Acknowledgments References 455 455 456 459 462 465 465 34. Digital soil mapping of organic carbon at two depths in loess hilly region of Northern Iran SED1GHEH MALEK1, FARHAD KHORMALl, SONGCHAO CHEN, HAMID REZA POURGHASEMI, AND MOHSEN HOSSEINALIZADEH 1. Introduction 2. Materials and methods 3. Results and discussion 4· Conclusions References 467 468 470 473 473 35. Hydrochemistry and geogenie pollution assessment of groundwater in Akşehir (Konya/Turkey) using GIS ERHAN ŞENER, SİMGE VAROL, AND ŞEHNAZ ŞENER 1. Introduction 2. Materials and methods 3. Results and discussion 4. Conclusion References 477 478 482 488 489 36. Comparison of the frequency ratio, index of entropy, and artificial neural networks methods for landslide susceptibility mapping: A case study in Pınarbaşı/ Kastamonu (North of Turkey) 31. Rate of penetration prediction in drilling wells from the Hassi Messaoud oil field (SE Algeria): Use of artificial intelligence techniques and environmental implications ENES TAŞOGLU AND SOHAIB K.M. ABUJAYYAB OUAFI AMEUR-ZAIMECHE, RABAH KECHICHED, AND CHARAF-EDD1NE AOUAM 1. Introduction 2. Material and methods 3. Results and discussion 437 437 427 428 432 1. Introduction 2. Materials and methods 3. Results and discussion 4· Conclusions References 491 492 500 505 505
ХІ Contents 37. Remote sensing technology for postdisaster building damage assessment 41. Kernel-based granulometry of textural pattern measures on satellite imageries for fine-grain sparse woodiands mapping MOHAMMAD KAKOOEI, ARSALAN GHORBANIAN, YASSER BALEGHI, MEISAM AMANI, AND ANDREA NASCETTI 1. Introduction 2. Study area and data 3. Methodology 4. Results and discussion 5. Discussion 6. Conclusion References SEYED RASHID FALLAH SHAMSI, SARA ZAKERI-ANARAKI, AND MASOUD MASOUDI 509 510 512 513 517 519 519 38. Doing more with less: A comparative assessment between morphometric indices and machine learning models for automated gully pattern extraction (A case study: Dashtiari region, Sistan and Baluchestan Province) AIDING KORNEJADY, ABBAS GOLI JIRANDEH, HADI ALIZADEH, ALIREZA SARVARINEZHAD, ABDOLLAH BAMERI, LUIGI LOMBARDO, CHRISTIAN CONOSCENTI, AMIR ALIZADEH, MAHDI KARIMI, MAHMOOD SAMADI, AND ESMAEIL SILAKHORI 1. Introduction 2. Study area 3. Materials and methods 4. Results and discussion 5. Comparison, limitations, and future works 6. Conclusion Acknowledgment References 523 524 524 529 533 533 533 533 39. Identification of land subsidence prone areas and their mapping using machine learning algorithms ZEYNAB NAJAFI, HAMID REZA POURGHASEMI, GHOLAMABBAS GHANBARIAN, AND SEYED RASHID FALLAH SHAMSI 1. Introduction 2. Description of the study area 3. Materials and methods 4. Results and discussion 5. Conclusion References 535 535 536 540 543 544 40. Monitoring of spatiotemporal changes of soil salinity and alkalinity in eastern and central parts of Iran SEDIGHEH MALEKI, HASSAN
FATHIZAD, ALIREZA KARIMI, RUHOLLAH TAGHIZADEH-MEHR] ARDI, AND HAMID REZA POURGHASEMI 1. Introduction 2. Materials and methods 3. Results and discussion 4. Conclusion References 547 548 553 559 559 1. Introduction 2. Materials and methods 3. Results and discussion 4. Conclusions References 563 564 567 574 575 42. Badland erosion mapping and effective factors on its occurrence using random forest mode! MAJID MOHAMMADY, HAMID REZA POURGHASEMI, AND SALEH YOUSEFI 1. Introduction 2. Study area 3. Materials and methods 4. Results and discussion 5. Conclusions References 577 577 578 580 582 582 43. Application of machine learning algorithms in hydrology HAMIDREZA MOSAFFA, MOJTABA SADEGHI, IMAN MALLAKPOUR, MOJTABA NAGHDYZADEGAN JAHROMI, AND HAMID REZA POURGHASEMI 1. Introduction 2. Flood 3. Precipitation estimation (case study: PERSIANN family developments) 4. Water quality 5. Groundwater 6. ML issue and recommendation 7. Conclusion References 585 586 587 588 588 589 589 589 44. Digital soil mapping of soil bulk density in loess derived-soils with complex topography NARGES KARMINEJAD, MOHSEN HOSSEINALIZADEH, AND HAMID REZA POURGHASEMI 1. Introduction 2. Materials and methods 3. Results and discussion 4· Conclusions References 593 594 595 598 598 45. Landslide susceptibility mapping along the Thimphu-Phuentsholing highway using machine learning MANJU SARA DAHAL, ASHEER CHHETRI, HEMANT GHALLEY, SANGEY PASANG, AND MOUJHURI PATRA 1. Introduction 2. Study area 601 601
xii 3. Methodology 4. Result and discussion 5. Conclusion References Contents 602 613 616 617 3. Results 4. Discussion 5. Conclusions References 637 650 652 652 46. Drought assessment using the standardized precipitation index (SPI) in GIS environment in Greece 48. Multihazard risk analysis and governance across a provincial capital in northern Iran DEMETRIOS E. TSESMELIS, CONSTANTINA G. VASILAKOU, KLEOMENIS KALOGEROPOULOS, NIKOLAOS STATHOPOULOS, STAVROS G. ALEXANDRIS, EFTHIMIOS ZERVAS, PANAGIOTIS D. OIKONOMOU, AND CHRISTOS A. KARAV1TIS AIDING KORNEJADY, ELHAM KOUCHAKI, ALI BOUSTAN, HAMID REZA POURGHASEMI, MAJID SADEGHINIA, AND ANIS HEIDARI 1. Introduction 2. Materials and methods 3. Results 4. Discussion 5. Conclusions References 619 620 623 623 631 632 47. COVID-19: An analysis on official reports in Iran and the world along with some comparisons to other hazards SOHEILA POUYAN, MOJGAN BORDBAR, MOJDEH MOHAMMADI KHOSHOUI, SOROOR RAHMANIAN, ZAKARIYA FARAJZADEH, BAHRAM HEIDAR1, SEDIGHEH BABAEI, AND HAMID REZA POURGHASEMI 1. Introduction 2. Methodology 635 636 1. Introduction 2. Study area 3. Methods and materials 4. Results and discussion 5. Conclusion References Index 655 656 656 663 671 671 675
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Contents Contributors Acknowledgments xiii xvii 5. Conclusions References 5. Assessment of machine learning algorithms in land use classification 1. Predicting dissolved oxygen concentration in river using new advanced machines learning: Long-short term memory (LSTM) deep learning HASSAN KHAVARIAN NEHZAK, MARYAM AGHAEI, RAOOF MOSTAFAZADEH, AND HAMIDREZA RABIEI-DASTĮERDI SAUM HEDDAM, SUNGWON KIM, ALI DANANDEH MEHR, MOHAMMAD ZOUNEMAT-KERMANI, ANURAG MALIK, AHMED ELBELTAGI, AND OZGUR KISI 1. introduction 2. Materials and methods 3. Methodology 4. Results 5. Discussion 6. Conclusions References 1 3 4 10 15 18 18 21 22 26 29 35 35 MAHBOOBEH KIANI-HARCHEGANI, ALI TALEBİ, EBRAHIM ASGARİ, AND JESÚS RODRIGO-COMINO 1. Introduction 2. Terminology and definition of hillslope geometry 3. Three-dimensional hillslopes characteristics in hydrological models 4. Conclusion Acknowledgments References SAHA DAUJI AND TIRUMALESH KEESARI 37 38 47 52 53 53 53 53 117 118 119 124 125 125 8. Mapping the NDVI and monitoring of its changes using Google Earth Engine and Sentinel-2 images 4· Application of analytical hierarchy process (AHP) in landslide susceptibility mapping for Qazvin province, N Iran MAHDIS AMIRI AND HAMID REZA POURGHASEMI 1, Introduction 2, Doroudzan Dam Watershed 3, Methodology 4, Results 5, Discussion 6, Conclusion References EBRAHIM SHARIFI TESHNIZI, MOHSEN GOLIAN, SHAHRIAR SADEGHI, AND AHMAD RASTEGARNIA Introduction Study area Material and methods Results and discussion 105 106 107 109 112 113 7. Topographical features and soil erosion processes 3. A data-driven approach for
estimating contaminants in natural water 1. 2. 3. 4. 97 97 100 103 103 6. Evaluation of land use change predictions using CA-Markov model and management scenarios 1. Introduction 2. Definitions and background 3. Material and method 4. Results and discussion 5. Conclusion References MOJDEH MOHAMMAD1 KHOSHOUI AND MOHAMMAD REZA EKHTESASI 1. Introduction 2. Data and methods 3. Results and discussion 4. Conclusions Acknowledgments Conflict of interest Data availability References 1. Introduction 2. Material and method 3. Results 4. Conclusion References HASSAN KHAVARIAN NEHZAK, MARYAM AGHAEI, RAOOF MOSTAFAZADEH, AND HAMIDREZA RABIEI-DASTĮERDI 2. Fractal analysis of valley sections in geological formations of arid areas 1. Introduction 2. Materials and methods 3. Results 4. Discussion 5. Conclusion References 92 94 55 55 57 61 vii 127 128 128 129 133 134 135
viii Contents 9. Spatiotemporal urban sprawl and land resource assessment using Google Earth Engine platform in Lahore district, Pakistan 14. Analysis of social resilience of villagers in the face of drought using LPCIEA indicator case study: Downstream of Dorodzan dam ADEEL AHMAD, HAMMAD GUANI, SAFDAR AU SHIRAZI, HAMID REZA POURGHASEMI, AND IFRAH SHAUKAT PAYAM EBRAHIMI 1. Introduction 2. Study area 3. Methodology 4. Results and discussion 5. Conclusion References 137 139 140 141 148 149 1. Introduction 2. Methodology 3. Results 4· Discussion 5. Conclusion Acknowledgments References 199 200 207 217 217 217 217 10. Using OWA-AHP method to predict landslide-prone areas 15. Spatial and seasonal modeling of the land surface temperature using random forest MARZIEH MOKARRAM AND HAMID REZA POURGHASEMI SOHEILA POUYAN, SOROOR RAHMAN IAN, ATIYEH AMİNDİN, AND HAMID REZA POURGHASEMI 1. Introduction 2. Study area 3. Material and methods 4· Results and discussion 5. Conclusions Acknowledgments References 151 152 152 159 167 167 167 ARNOLD R, SALVACION 169 170 172 175 177 177 12. Selection of the best pixel-based algorithm for land cover mapping in Zagros forests of Iran using Sentinel-2A data: A case study in Khuzestan province SAEEDEH ESKANDARI, SAJJAD ALI MAHMOUDI SARAB, MEHDİ POURHASHEMI, AND FATEMEH AHMADLOO 1. Introduction 2. Material and methods 3. Results 4. Discussions 5. Conclusions References HAZHIR KARIMI, HOOSHYAR HOSSINI, AND ABDULFATTAH AHMAD AMIN 1. Introduction 2. Study area 3. Data and methods 4. Results and discussion 5. Conclusion Acknowledgments Conflict of interests
References 235 236 236 239 242 243 243 243 17. Predictive habitat suitability models for Teucrium poUum L. using boosted regression trees 181 182 185 188 189 189 13. Identify the important driving forces on gully erosion, Chaharmahal and Bakhtiari province, Iran MOHAMMAD NEKOOEIMEHR, SALEH YOUSEFI, AND SAYED NAEIM EMAMI 1. Introduction 2. Materials and methods 3. Methodology 4. Results and discussion 5. Conclusion Acknowledgment References 221 222 225 231 231 16. Municipal landfill site selection and environmental impacts assessment using spatial multicriteria decision ana!ysis: A case study 11. Multiscale drought hazard assessment in the Philippines 1. Introduction 2. Methodology 3. Results 4. Discussion 5. Conclusion References 1. Introduction 2. Methodology 3. Results and discussion 4. Conclusion References 191 192 192 193 196 196 197 SOROOR RAHMANIAN, SOHEILA POUYAN, SAHAR KARAMI, AND HAMID REZA POURGHASEMI 1. Introduction 2. Material and method 3. Results 4. Discussions 5. Conclusion Funding Conflict of interest References 245 246 248 249 252 252 252 253 18. Ecoengineering practices for soil degradation protection of vulnerable hill slopes R. GOB1NATH, G.P. GANAPATHY, E. GAYATHIRI, ASHWINI ARUN SALUNKHE, AND HAMID REZA POURGHASEMI 1. Introduction 2. Materials and method 3. Role of vegetation in slope stability 255 256 259
ІХ Contents 4. Soil reinforcement 5. Discussion 6. Conclusion References 261 266 267 267 19. Soft computing applications in rainfall-induced landslide analysis and protection—Recent trends, techniques, and opportunities Introduction Classification factor Landslide analysis Landslide monitoring Machine learning Recent trends Opportunities Importance and future Historical outline of rainfall-induced landslide monitoring and mapping 10. Conclusion Appendix A References 271 272 272 273 273 278 278 278 279 285 285 285 20. Remote sensing and machine learning techniques to monitor fluvial corridor evolution: The Aras River between Iran and Azerbaijan KHOSRO FAZELPOOR, VANESA MARTÍNEZ-FERNÁNDEZ, SALEH YOUSEF1, AND DIEGO GARCIA DE JALÓN 1. Introduction 2. Methodology 3. Result 4. Discussion 5. Conclusion References 289 290 292 295 295 296 ABRAR YOUSUF, ANIL BHARDWAJ, SUKHDEEP SINGH, AND VISHNU PRASAD 1. Introduction 2. Materials and methods 3. Results and discussion 4. Conclusions References MAJID NIAZKAR AND MOHAMMAD ZAKWAN 1. Introduction 2. Materials and methods 3. Results 4· Discussion 5. Conclusions References MAHDIS AMIRI AND HAMID REZA POURGHASEMI E. GAYATHIRI, R. GOBINATH, G.P. GANAPATHY, ASHWINI ARUN SALUNKHE, J. JAYANTHI, M.G. RAOUNATHAN, AND HAMID REZA POURGHASEMI 26. Pest-infected oak trees identify using remote sensing-based classification algorithms 22. IoT applications in landslide prediction and abatement—Trends, opportunities, and challenges U. SINTHUJA, S. THAVAMANI, SANDHYA MAKKAR, R GOBINATH, AND E GAYATHIRI 1. Overview 2. Technology landscape 319 320 337 338 343
345 345 349 25. Predicting areas affected by forest fire based on a machine learning algorithm 21. Studies on plant selection framework for soil bioengineering application 299 300 304 312 313 314 327 328 330 334 334 24. Parameter estimation of a new four-parameter Muskingum flood routing model 1. Introduction 2. Materials and methods 3. Results 4. Discussion 5. Conclusion References 1. Introduction 2. Materials and methods 3. Results and discussion 4. Discussion 5. Conclusion References 321 321 322 324 324 23. Application of WEPP model for runoff and sediment yield simulation from ungauged watershed in Shivalik foot-hills ASHWIHt ARUN SALUNKHE, R. GOBiNATH, AND SANDHYA MAKKAR 1. 2. 3. 4. 5. 6. 7. 8. 9. 3. General view of IoT system for landslide prediction and abatement 4. Discussion of traditional andtrending technologies 5. IoT device communication technique 6. Conclusion References 351 352 357 359 360 360 SALEH YOUSEFI, FARSHAD HAGHIGHIAN, MOJTABA NAGHDYZADEGAN-JAHROMI, AND HAMID REZA POURGHASEMI 1. Introduction 2. Materials and methods 3. Methodology 4. Image classification algorithms 5. Accuracy assessment 6. Statistical analysis 7. Results 8. Discussion 9. Conclusion Acknowledgments References 363 364 366 366 367 368 368 369 374 374 374
x Contents 27. The COVID'19 crisis and its consequences for global warming and climate change 4. Conclusion References ABDULLAH KAVIANI RAD, MEHDİ ZAREI, HAMID REZA POURGHASEMI, AND JOHN P. TIEFENBACHER 32. Soil erodibility and its influential factors in the Middle East 1. Introduction 2. Results and discussion 3. Conclusions Conflict of interest References 377 378 383 384 384 28. Earthquake ionospheric and atmospheric anomalies from GNSS TEC and other satellites MUNAWAR SHAH 1. Introduction 2. Data and method 3. Results 4֊ Discussions 5. Conclusion References 387 388 390 395 397 397 29. Landslide spatial modeling using a bivariate statistica! method in Kermanshah Province, Iran MOJGAN BORDBAR, SINA PARYANI, AND HAMID REZA POURGHASEMI 1. Introduction 2. Study area 3. Methodology 4. Result and discussion 5. Conclusion References 401 402 403 410 413 414 30. Normalized difference vegetation index analysis of forest cover change detection in Paro Dzongkhag, Bhutan SANGEY PASANG, RIGZIN NORBU, SUREN TIMSINA, TSHERING WANGCHUK, AND PETR KUBÍČEK 1. Introduction 2. Study area 3. Methodology 4. Results 5. Discussion 6. Condusion Acknowledgments Conflicts of interest References 417 418 418 422 423 424 424 424 424 YASER OSTOVARI, ALI AKBAR MOOSAVI, HASAN MOZAFFARI, RAÚL ROBERTO POPPIEL, MAHBOOBEH TAYEBI, AND JOSÉ A.M. DEMATTÊ 1. Introduction 2. Material and methods 3. Results and discussion 4. Conclusion Acknowledgment References 441 443 445 451 452 452 33. Non-carcinogenic health risk assessment of fluoride in groundwater of the River Yamuna flood plain, Delhi, India SHAKIR ALI,
SHASHANK SHEKHAR, AND TRUPTI CHANDRASEKHAR 1. Introduction 2. Study area 3. Material and methods 4. Results and discussion 5. Conclusions Acknowledgments References 455 455 456 459 462 465 465 34. Digital soil mapping of organic carbon at two depths in loess hilly region of Northern Iran SED1GHEH MALEK1, FARHAD KHORMALl, SONGCHAO CHEN, HAMID REZA POURGHASEMI, AND MOHSEN HOSSEINALIZADEH 1. Introduction 2. Materials and methods 3. Results and discussion 4· Conclusions References 467 468 470 473 473 35. Hydrochemistry and geogenie pollution assessment of groundwater in Akşehir (Konya/Turkey) using GIS ERHAN ŞENER, SİMGE VAROL, AND ŞEHNAZ ŞENER 1. Introduction 2. Materials and methods 3. Results and discussion 4. Conclusion References 477 478 482 488 489 36. Comparison of the frequency ratio, index of entropy, and artificial neural networks methods for landslide susceptibility mapping: A case study in Pınarbaşı/ Kastamonu (North of Turkey) 31. Rate of penetration prediction in drilling wells from the Hassi Messaoud oil field (SE Algeria): Use of artificial intelligence techniques and environmental implications ENES TAŞOGLU AND SOHAIB K.M. ABUJAYYAB OUAFI AMEUR-ZAIMECHE, RABAH KECHICHED, AND CHARAF-EDD1NE AOUAM 1. Introduction 2. Material and methods 3. Results and discussion 437 437 427 428 432 1. Introduction 2. Materials and methods 3. Results and discussion 4· Conclusions References 491 492 500 505 505
ХІ Contents 37. Remote sensing technology for postdisaster building damage assessment 41. Kernel-based granulometry of textural pattern measures on satellite imageries for fine-grain sparse woodiands mapping MOHAMMAD KAKOOEI, ARSALAN GHORBANIAN, YASSER BALEGHI, MEISAM AMANI, AND ANDREA NASCETTI 1. Introduction 2. Study area and data 3. Methodology 4. Results and discussion 5. Discussion 6. Conclusion References SEYED RASHID FALLAH SHAMSI, SARA ZAKERI-ANARAKI, AND MASOUD MASOUDI 509 510 512 513 517 519 519 38. Doing more with less: A comparative assessment between morphometric indices and machine learning models for automated gully pattern extraction (A case study: Dashtiari region, Sistan and Baluchestan Province) AIDING KORNEJADY, ABBAS GOLI JIRANDEH, HADI ALIZADEH, ALIREZA SARVARINEZHAD, ABDOLLAH BAMERI, LUIGI LOMBARDO, CHRISTIAN CONOSCENTI, AMIR ALIZADEH, MAHDI KARIMI, MAHMOOD SAMADI, AND ESMAEIL SILAKHORI 1. Introduction 2. Study area 3. Materials and methods 4. Results and discussion 5. Comparison, limitations, and future works 6. Conclusion Acknowledgment References 523 524 524 529 533 533 533 533 39. Identification of land subsidence prone areas and their mapping using machine learning algorithms ZEYNAB NAJAFI, HAMID REZA POURGHASEMI, GHOLAMABBAS GHANBARIAN, AND SEYED RASHID FALLAH SHAMSI 1. Introduction 2. Description of the study area 3. Materials and methods 4. Results and discussion 5. Conclusion References 535 535 536 540 543 544 40. Monitoring of spatiotemporal changes of soil salinity and alkalinity in eastern and central parts of Iran SEDIGHEH MALEKI, HASSAN
FATHIZAD, ALIREZA KARIMI, RUHOLLAH TAGHIZADEH-MEHR] ARDI, AND HAMID REZA POURGHASEMI 1. Introduction 2. Materials and methods 3. Results and discussion 4. Conclusion References 547 548 553 559 559 1. Introduction 2. Materials and methods 3. Results and discussion 4. Conclusions References 563 564 567 574 575 42. Badland erosion mapping and effective factors on its occurrence using random forest mode! MAJID MOHAMMADY, HAMID REZA POURGHASEMI, AND SALEH YOUSEFI 1. Introduction 2. Study area 3. Materials and methods 4. Results and discussion 5. Conclusions References 577 577 578 580 582 582 43. Application of machine learning algorithms in hydrology HAMIDREZA MOSAFFA, MOJTABA SADEGHI, IMAN MALLAKPOUR, MOJTABA NAGHDYZADEGAN JAHROMI, AND HAMID REZA POURGHASEMI 1. Introduction 2. Flood 3. Precipitation estimation (case study: PERSIANN family developments) 4. Water quality 5. Groundwater 6. ML issue and recommendation 7. Conclusion References 585 586 587 588 588 589 589 589 44. Digital soil mapping of soil bulk density in loess derived-soils with complex topography NARGES KARMINEJAD, MOHSEN HOSSEINALIZADEH, AND HAMID REZA POURGHASEMI 1. Introduction 2. Materials and methods 3. Results and discussion 4· Conclusions References 593 594 595 598 598 45. Landslide susceptibility mapping along the Thimphu-Phuentsholing highway using machine learning MANJU SARA DAHAL, ASHEER CHHETRI, HEMANT GHALLEY, SANGEY PASANG, AND MOUJHURI PATRA 1. Introduction 2. Study area 601 601
xii 3. Methodology 4. Result and discussion 5. Conclusion References Contents 602 613 616 617 3. Results 4. Discussion 5. Conclusions References 637 650 652 652 46. Drought assessment using the standardized precipitation index (SPI) in GIS environment in Greece 48. Multihazard risk analysis and governance across a provincial capital in northern Iran DEMETRIOS E. TSESMELIS, CONSTANTINA G. VASILAKOU, KLEOMENIS KALOGEROPOULOS, NIKOLAOS STATHOPOULOS, STAVROS G. ALEXANDRIS, EFTHIMIOS ZERVAS, PANAGIOTIS D. OIKONOMOU, AND CHRISTOS A. KARAV1TIS AIDING KORNEJADY, ELHAM KOUCHAKI, ALI BOUSTAN, HAMID REZA POURGHASEMI, MAJID SADEGHINIA, AND ANIS HEIDARI 1. Introduction 2. Materials and methods 3. Results 4. Discussion 5. Conclusions References 619 620 623 623 631 632 47. COVID-19: An analysis on official reports in Iran and the world along with some comparisons to other hazards SOHEILA POUYAN, MOJGAN BORDBAR, MOJDEH MOHAMMADI KHOSHOUI, SOROOR RAHMANIAN, ZAKARIYA FARAJZADEH, BAHRAM HEIDAR1, SEDIGHEH BABAEI, AND HAMID REZA POURGHASEMI 1. Introduction 2. Methodology 635 636 1. Introduction 2. Study area 3. Methods and materials 4. Results and discussion 5. Conclusion References Index 655 656 656 663 671 671 675 |
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| illustrated | Illustrated |
| index_date | 2024-07-03T18:39:48Z |
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| isbn | 9780323898614 |
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| spelling | Computers in Earth and Environmental Sciences Artificial Intelligence and Advanced Technologies in Hazards and Risk Management edited by Hamid Reza Pourghasemi Amsterdam ; Oxford ; Cambridge, MA Elsevier [2022] xvii, 683 Seiten Illustrationen, Diagramme, Karten txt rdacontent n rdamedia nc rdacarrier Naturkatastrophe (DE-588)4041387-1 gnd rswk-swf Geoinformatik (DE-588)7571300-7 gnd rswk-swf Risikomanagement (DE-588)4121590-4 gnd rswk-swf Datenverarbeitung (DE-588)4011152-0 gnd rswk-swf Geoinformatik (DE-588)7571300-7 s Datenverarbeitung (DE-588)4011152-0 s Risikomanagement (DE-588)4121590-4 s Naturkatastrophe (DE-588)4041387-1 s DE-604 Pourghasemi, Hamid Reza 1981- (DE-588)1188585436 edt Erscheint auch als Online-Ausgabe 978-0-323-88615-4 Digitalisierung UB Passau - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032995744&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Computers in Earth and Environmental Sciences Artificial Intelligence and Advanced Technologies in Hazards and Risk Management Naturkatastrophe (DE-588)4041387-1 gnd Geoinformatik (DE-588)7571300-7 gnd Risikomanagement (DE-588)4121590-4 gnd Datenverarbeitung (DE-588)4011152-0 gnd |
| subject_GND | (DE-588)4041387-1 (DE-588)7571300-7 (DE-588)4121590-4 (DE-588)4011152-0 |
| title | Computers in Earth and Environmental Sciences Artificial Intelligence and Advanced Technologies in Hazards and Risk Management |
| title_auth | Computers in Earth and Environmental Sciences Artificial Intelligence and Advanced Technologies in Hazards and Risk Management |
| title_exact_search | Computers in Earth and Environmental Sciences Artificial Intelligence and Advanced Technologies in Hazards and Risk Management |
| title_exact_search_txtP | Computers in Earth and Environmental Sciences Artificial Intelligence and Advanced Technologies in Hazards and Risk Management |
| title_full | Computers in Earth and Environmental Sciences Artificial Intelligence and Advanced Technologies in Hazards and Risk Management edited by Hamid Reza Pourghasemi |
| title_fullStr | Computers in Earth and Environmental Sciences Artificial Intelligence and Advanced Technologies in Hazards and Risk Management edited by Hamid Reza Pourghasemi |
| title_full_unstemmed | Computers in Earth and Environmental Sciences Artificial Intelligence and Advanced Technologies in Hazards and Risk Management edited by Hamid Reza Pourghasemi |
| title_short | Computers in Earth and Environmental Sciences |
| title_sort | computers in earth and environmental sciences artificial intelligence and advanced technologies in hazards and risk management |
| title_sub | Artificial Intelligence and Advanced Technologies in Hazards and Risk Management |
| topic | Naturkatastrophe (DE-588)4041387-1 gnd Geoinformatik (DE-588)7571300-7 gnd Risikomanagement (DE-588)4121590-4 gnd Datenverarbeitung (DE-588)4011152-0 gnd |
| topic_facet | Naturkatastrophe Geoinformatik Risikomanagement Datenverarbeitung |
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