A method, system, device and medium for judging river-lake connectivity

Abstract

The application discloses a kind of river and lake connectivity judging method, system, equipment and medium, including obtaining the section number of river and lake area to be evaluated and the species community composition of each section, according to section number and the species community composition of each section, the species niche breadth is calculated, the species diversity value and species evenness value of section are calculated, according to the species niche breadth and the species community composition of each section, section connectivity value is calculated, according to section connectivity value, species diversity value, species evenness value and pre-set grading score standard, comprehensive connectivity value is calculated, and according to comprehensive connectivity value and pre-set grading standard, the connectivity grade of river and lake area to be evaluated is judged, based on species niche theory, on the basis of quantifying specific species niche, the connectivity quantitative evaluation of entire river and lake network can also be carried out simultaneously Single section connectivity quantitative evaluation can be carried out, and the river and lake connectivity judging accuracy is improved.

Description

Technical Field

[0001] This invention relates to the field of river and lake connectivity technology, and in particular to a method, system, device and medium for determining river and lake connectivity. Background Technology

[0002] River and lake connectivity is a fundamental condition for maintaining the smooth flow of matter, energy, information, and species between rivers and lakes, and between river channels and floodplains within a watershed. The existence of water conservancy projects reduces the connectivity of river and lake systems, hindering the normal exchange of species, matter, energy, and information, leading to a decrease in species abundance and population size.

[0003] In river and lake ecological protection and restoration, a scientific and quantitative assessment of river and lake connectivity is crucial for evaluating the effectiveness of ecological restoration measures. Existing methods for judging river and lake connectivity are mostly based on graph theory connectivity theory and multi-index comprehensive evaluation frameworks. These methods can only provide an evaluation result for the entire water system and cannot provide quantitative evaluation results for specific cross-sections, or the connectivity evaluation results provided are theoretical and cannot be coupled with specific biological indicators. Summary of the Invention

[0004] This invention aims to at least solve the technical problems existing in the prior art. To this end, this invention proposes a method, system, device, and medium for judging river and lake connectivity. Based on species niche theory, it can quantitatively evaluate the connectivity of the entire river and lake network by quantifying the ecological niche of specific species, and it can also quantitatively evaluate the connectivity of a single cross section, thereby improving the accuracy of river and lake connectivity judgment.

[0005] In a first aspect, the present invention provides a method for determining river and lake connectivity, comprising the following steps:

[0006] Obtain the number of cross sections in the river and lake area to be evaluated and the species community composition of each cross section;

[0007] The species niche width is calculated based on the number of cross sections and the species community composition of each cross section;

[0008] Calculate the species diversity value and species evenness value of each cross section based on the species community composition of each cross section;

[0009] The cross-sectional connectivity value is calculated based on the species niche width and the species community composition of each cross-section;

[0010] The comprehensive connectivity value is calculated based on the cross-sectional connectivity value, the species diversity value, the species evenness value, and the pre-set grading and scoring criteria. The connectivity level of the river and lake area to be evaluated is then determined based on the comprehensive connectivity value and the pre-set grading criteria.

[0011] According to embodiments of the present invention, at least the following technical effects are achieved:

[0012] This method obtains the number of cross sections in the river and lake area to be evaluated and the species community composition of each cross section. It calculates the species niche width based on the number of cross sections and the species community composition of each cross section, and calculates the species diversity and species evenness values ​​of each cross section based on the species community composition of each cross section. It also calculates the cross section connectivity value based on the species niche width and the species community composition of each cross section. Finally, it calculates the comprehensive connectivity value based on the cross section connectivity value, species diversity value, species evenness value, and a pre-set grading standard. Finally, it determines the connectivity level of the river and lake area to be evaluated based on the comprehensive connectivity value and the pre-set grading standard. This method, based on species niche theory, enables quantitative evaluation of the connectivity of the entire river and lake network while also quantitatively evaluating the connectivity of individual cross sections, improving the accuracy of river and lake connectivity assessment.

[0013] According to some embodiments of the present invention, obtaining the number of cross-sections of the river and lake area to be evaluated includes:

[0014] The cross-sections of the river and lake area to be evaluated are set according to the pre-set locations to obtain the number of cross-sections of the river and lake area to be evaluated.

[0015] According to some embodiments of the present invention, obtaining the species community composition of each cross section of the river / lake area to be evaluated includes:

[0016] Aquatic organisms were sampled and species were identified at each cross section of the river and lake area to be evaluated, and species identification results were obtained.

[0017] Based on the species identification results, the data are processed to obtain the species community composition of each cross section of the river and lake area to be evaluated.

[0018] According to some embodiments of the present invention, the formula for calculating the species niche breadth based on the number of cross sections and the species community composition of each cross section is as follows:

[0019]

[0020] in, Let P be the species niche breadth of the i-th species in the river-lake region to be evaluated. ij Let N be the proportion of the number of individuals of the i-th species in the river and lake area to be evaluated to the number of individuals in the j-th cross section, and N be the total number of cross sections in the river and lake area to be evaluated.

[0021] According to some embodiments of the present invention, the calculation formulas for calculating the species diversity value and species evenness value of each cross-section based on the species community composition of each cross-section are as follows:

[0022] D = 1 - ∑P i 2

[0023] E=-∑P i lnP i / lnS

[0024] Where D represents the species diversity value of the river and lake section to be evaluated, and P i Let E be the proportion of the number of individuals of the i-th species in the cross section of the river / lake region to be evaluated to the total number of individuals in the cross section, and let S be the species evenness value of the cross section of the river / lake region to be evaluated.

[0025] According to some embodiments of the present invention, the calculation formula for calculating the cross-sectional connectivity value based on the species niche width and the species community composition of each cross-section is as follows:

[0026]

[0027] Where C is the cross-sectional connectivity value, X i Let be the number of species of the i-th species in the cross section, n be the total number of species appearing in the cross section, and S be the total number of species in the cross section.

[0028] According to some embodiments of the present invention, the calculation formula for calculating the comprehensive connectivity value based on the cross-sectional connectivity value, the species diversity value, the species evenness value, and the pre-set grading and scoring criteria is as follows:

[0029] Con_RL=0.6*C′+0.2*D'+0.2*E'

[0030] Wherein, Con_RL is the overall connectivity value, C' is the score of C obtained according to the pre-set hierarchical scoring standard, D' is the score of D obtained according to the pre-set hierarchical scoring standard, and E' is the score of E obtained according to the pre-set hierarchical scoring standard.

[0031] A second aspect of the present invention provides a river and lake connectivity determination system, the river and lake connectivity determination system comprising:

[0032] The data acquisition module is used to acquire the number of cross sections in the river and lake area to be evaluated and the species community composition of each cross section;

[0033] A species niche width calculation module is used to calculate the species niche width based on the number of cross sections and the species community composition of each cross section.

[0034] A diversity calculation module is used to calculate the species diversity value and species evenness value of each cross section based on the species community composition of each cross section.

[0035] The cross-sectional connectivity value calculation module is used to calculate the cross-sectional connectivity value based on the species niche width and the species community composition of each cross section.

[0036] The connectivity evaluation module is used to calculate a comprehensive connectivity value based on the cross-sectional connectivity value, the species diversity value, the species evenness value, and a pre-set grading and scoring standard, and to determine the connectivity level of the river and lake area to be evaluated based on the comprehensive connectivity value and the pre-set grading standard.

[0037] This system obtains the number of cross sections in the river and lake area to be evaluated and the species community composition of each cross section. Based on the number of cross sections and the species community composition of each cross section, it calculates the species niche width, species diversity and evenness values, and cross section connectivity values. Finally, it calculates the comprehensive connectivity value based on the cross section connectivity value, species diversity value, species evenness value, and pre-set grading standards. Based on the comprehensive connectivity value and pre-set grading standards, it determines the connectivity level of the river and lake area to be evaluated. This system, based on species niche theory, enables quantitative evaluation of the connectivity of the entire river and lake network while also quantitatively evaluating the connectivity of individual cross sections, improving the accuracy of river and lake connectivity assessment.

[0038] A third aspect of the present invention provides an electronic device for determining river and lake connectivity, comprising at least one control processor and a memory for communicatively connecting to the at least one control processor; the memory stores instructions executable by the at least one control processor, the instructions being executed by the at least one control processor to enable the at least one control processor to perform the above-described river and lake connectivity determination method.

[0039] In a fourth aspect, the present invention provides a computer-readable storage medium storing computer-executable instructions for causing a computer to perform the above-described method for determining river and lake connectivity.

[0040] It should be noted that the beneficial effects of the second to fourth aspects of the present invention compared with the prior art are the same as the beneficial effects of the above-described river and lake connectivity determination system compared with the prior art, and will not be described in detail here.

[0041] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0042] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which:

[0043] Figure 1 This is a flowchart of a method for determining river and lake connectivity according to an embodiment of the present invention;

[0044] Figure 2 This is a flowchart of a river and lake connectivity determination system according to an embodiment of the present invention. Detailed Implementation

[0045] Embodiments of the present invention are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention.

[0046] In the description of this invention, the use of terms such as "first," "second," etc., is for the purpose of distinguishing technical features only and should not be construed as indicating or implying relative importance, or implicitly indicating the number of technical features indicated, or implicitly indicating the order of the technical features indicated.

[0047] In the description of this invention, it should be understood that the orientation descriptions, such as up, down, etc., are based on the orientation or positional relationship shown in the drawings and are only for the convenience of describing this invention and simplifying the description, and are not intended to indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this invention.

[0048] In the description of this invention, it should be noted that, unless otherwise explicitly defined, terms such as "setting," "installation," and "connection" should be interpreted broadly, and those skilled in the art can reasonably determine the specific meaning of the above terms in this invention in conjunction with the specific content of the technical solution.

[0049] River and lake connectivity is a fundamental condition for maintaining the smooth flow of matter, energy, information, and species between rivers and lakes, and between river channels and floodplains within a watershed. The existence of water conservancy projects reduces the connectivity of river and lake systems, hindering the normal exchange of species, matter, energy, and information, leading to a decrease in species abundance and population size.

[0050] In river and lake ecological protection and restoration, a scientific and quantitative assessment of river and lake connectivity is crucial for evaluating the effectiveness of ecological restoration measures. Existing methods for judging river and lake connectivity are mostly based on graph theory connectivity theory and multi-index comprehensive evaluation frameworks. These methods can only provide an evaluation result for the entire water system and cannot provide quantitative evaluation results for specific cross-sections, or the connectivity evaluation results provided are theoretical and cannot be coupled with specific biological indicators.

[0051] To address the aforementioned technical deficiencies, referring to... Figure 1 The present invention also provides a method for determining river and lake connectivity, comprising:

[0052] Step S101: Obtain the number of cross sections in the river and lake area to be evaluated and the species community composition of each cross section;

[0053] Step S102: Calculate the species niche width based on the number of cross sections and the species community composition of each cross section;

[0054] Step S103: Calculate the species diversity value and species evenness value of each cross section based on the species community composition of each cross section.

[0055] Step S104: Calculate the cross-sectional connectivity value based on the species niche width and the species community composition of each cross-section;

[0056] Step S105: Calculate the comprehensive connectivity value based on the cross-sectional connectivity value, species diversity value, species evenness value, and the pre-set grading and scoring standards, and determine the connectivity level of the river and lake area to be evaluated based on the comprehensive connectivity value and the pre-set grading standards.

[0057] This method obtains the number of cross sections in the river and lake area to be evaluated and the species community composition of each cross section. It calculates the species niche width based on the number of cross sections and the species community composition of each cross section, and calculates the species diversity and species evenness values ​​of each cross section based on the species community composition of each cross section. It also calculates the cross section connectivity value based on the species niche width and the species community composition of each cross section. Finally, it calculates the comprehensive connectivity value based on the cross section connectivity value, species diversity value, species evenness value, and a pre-set grading standard. Finally, it determines the connectivity level of the river and lake area to be evaluated based on the comprehensive connectivity value and the pre-set grading standard. This method, based on species niche theory, enables quantitative evaluation of the connectivity of the entire river and lake network while also quantitatively evaluating the connectivity of individual cross sections, improving the accuracy of river and lake connectivity assessment.

[0058] In some embodiments, obtaining the number of cross sections of the river and lake area to be evaluated includes:

[0059] Based on the pre-set location, cross-sections are set for the river and lake area to be evaluated, resulting in the number of cross-sections for the river and lake area to be evaluated.

[0060] In some embodiments, obtaining the species community composition of each cross section of the river / lake area to be evaluated includes:

[0061] Aquatic organisms were sampled and species identified at each cross section of the river and lake area to be evaluated, and species identification results were obtained.

[0062] Based on the species identification results, the data were processed to obtain the species community composition of each section of the river and lake area to be evaluated.

[0063] In some embodiments, the formula for calculating the species niche breadth based on the number of cross sections and the species community composition of each cross section is as follows:

[0064]

[0065] in, Let P be the species niche breadth of the i-th species in the river-lake region to be evaluated. ij Let N be the proportion of the number of individuals of the i-th species in the river and lake area to be evaluated to the number of individuals in the j-th cross section, and N be the total number of cross sections in the river and lake area to be evaluated.

[0066] In some embodiments, the formulas for calculating the species diversity and species evenness values ​​of each cross section based on the species community composition are as follows:

[0067] D = 1 - ∑P i 2

[0068] E=-∑P i lnP i / lnS

[0069] Where D represents the species diversity value of the river and lake section to be evaluated, and P i Let E be the proportion of the number of individuals of the i-th species in the cross section of the river / lake region to be evaluated to the total number of individuals in the cross section, and let S be the species evenness value of the cross section of the river / lake region to be evaluated.

[0070] In some embodiments, the formula for calculating the cross-sectional connectivity value based on the species niche width and the species community composition of each cross-section is as follows:

[0071]

[0072] Where C is the cross-sectional connectivity value, X i Let be the number of species of the i-th species in the cross section, n be the total number of species appearing in the cross section, and S be the total number of species in the cross section.

[0073] In some embodiments, the formula for calculating the comprehensive connectivity value based on the cross-sectional connectivity value, species diversity value, species evenness value, and a pre-set grading and scoring standard is as follows:

[0074] Con_RL=0.6*C′+0.2*D'+0.2*E'

[0075] Wherein, Con_RL is the overall connectivity value, C' is the score of C obtained according to the pre-set hierarchical scoring standard, D' is the score of D obtained according to the pre-set hierarchical scoring standard, and E' is the score of E obtained according to the pre-set hierarchical scoring standard.

[0076] Specifically, in some embodiments, the pre-set scoring criteria for each biological index are as follows:

[0077] C 1-0.8 0.8-0.6 0.6-0.4 0.4-0.2 0.2-0 D 1-0.8 0.8-0.6 0.6-0.4 0.4-0.2 0.2-0 E 1-0.8 0.8-0.6 0.6-0.4 0.4-0.2 0.2-0 Assignment 5 4 3 2 1

[0078] The comprehensive biometric value is calculated using the formula Con_RL=0.6*C'+0.2*D'+0.2*E'. The pre-set grading standard is that the comprehensive connectivity value varies between 1 and 5, where "5-4" indicates excellent connectivity, "4-3" indicates good connectivity, "3-2" indicates medium connectivity, and "2-1" indicates poor connectivity.

[0079] Specifically, this invention is based on the niche theory: each sampling section in the river and lake network is represented as a resource point that can be used by all species in theory. All sections in the entire water system are regarded as a whole, and the niche width of each species can be represented as the size of the species' ability to occupy resources in the entire water system.

[0080] This invention is based on the neutral theory: dispersal constraints play a decisive role in community structure. Low connectivity in river and lake networks restricts species dispersal, while high connectivity allows each species the opportunity to spread to all available resource points (sections). Considering the entire river and lake network as a whole, the niche breadth of each species, based on niche theory, indirectly characterizes its potential dispersal capacity.

[0081] In a specific cross section, if the biological communities appearing in the cross section are all species collections with high niche widths, then the connectivity between the cross section and other cross sections is high, and the migration of species from the local species pool into the cross section is unimpeded; if the biological communities appearing in the cross section are all species collections with low niche widths, then the connectivity between the cross section and other cross sections is low, and the migration of species from the local species pool into the cross section is not smooth.

[0082] This invention introduces niche breadth into the river and lake connectivity evaluation system, and organically combines niche theory and neutral theory to conduct quantitative evaluation of the connectivity of specific cross-sections of river and lake networks.

[0083] To facilitate understanding by those skilled in the art, the following set of experimental data is provided.

[0084] Case 1: Assume that the water network studied has 10 stations, and 10 species appear at each station. The specific number of species is a random number between 1 and 100. Refer to Table 1 and Table 2. Table 1 shows the distribution of species appearing at each station in Case 1, and Table 2 shows the connectivity evaluation of each station in Case 1.

[0085] Table 1

[0086] Species site1 site2 site3 site4 site5 site6 site7 site8 site9 site10 sp1 5 15 33 75 30 16 23 51 92 89 sp2 54 41 8 15 84 45 32 57 36 84 SP3 58 71 45 29 32 47 49 49 3 72 sp4 93 89 89 18 63 73 76 61 44 29 SP5 38 13 1 41 78 92 90 24 5 7 sp6 87 30 22 75 49 70 53 59 95 66 SP7 84 30 15 32 35 59 2 68 55 31 SP8 10 96 43 82 37 1 92 64 32 18 SP9 59 34 30 25 63 70 6 75 3 5 sp10 62 46 3 98 32 15 83 17 16 64

[0087] Table 2

[0088]

[0089]

[0090] According to the calculation results, all 10 stations contained 10 species, although the specific number of species varied. Their connectivity scores were all above 0.9, indicating a very high level, and their Con_RL indices were also high, ranging from 4 to 5. The connectivity evaluation results for each station were excellent. In practical engineering, the desired outcome is that after the construction of the water network connectivity project, the connectivity of different cross-sections will be improved, thus greatly reducing the restrictions on species dispersal throughout the entire water network. Theoretically, each species in the local species pool has the opportunity to spread to every station. The specific expected model is as described above.

[0091] Case 2, refer to Tables 3 and 4. Table 3 shows the species distribution at each station in Case 2, and Table 4 shows the connectivity evaluation at each station in Case 2. Assuming that 10 stations were set up in the study water network, a total of 10 species were collected from all cross sections. Assuming that in the extreme case, only one species appears at each station, the connectivity of all stations is 0.

[0092] Table 3

[0093] Species site1 site2 site3 site4 site5 site6 site7 site8 site9 site10 sp1 5 0 0 0 0 0 0 0 0 0 sp2 0 41 0 0 0 0 0 0 0 0 SP3 0 0 45 0 0 0 0 0 0 0 sp4 0 0 0 18 0 0 0 0 0 0 SP5 0 0 0 0 78 0 0 0 0 0 sp6 0 0 0 0 0 70 0 0 0 0 SP7 0 0 0 0 0 0 2 0 0 0 SP8 0 0 0 0 0 0 0 64 0 0 SP9 0 0 0 0 0 0 0 0 3 0 sp10 0 0 0 0 0 0 0 0 0 64

[0094] Table 4

[0095]

[0096] Case 3, referring to Tables 5 to 9. Table 5 shows the connectivity degree C of each station in the upper reaches of the Jinsha River in different seasons. Table 6 shows the connectivity evaluation of each station in the Jinsha River system in spring. Table 7 shows the connectivity evaluation of each station in the Jinsha River system in summer. Table 8 shows the connectivity evaluation of each station in the Jinsha River system in autumn. Table 9 shows the connectivity evaluation of each station in the Jinsha River system in winter. The data comes from the field observation data of the "Investigation, Observation and Assessment of Benthic Animal Diversity in the Upper Reaches of the Jinsha River" project from 2019 to 2021. The study section is from Zhimenda in Yushu, Qinghai to Shigu in Yunnan.

[0097] Table 5

[0098] Position spring summer autumn winter S1 0.463 0.681 0.618 S2 0.379 0.597 0.584 S3 0.309 0.659 0.609 S4 0.558 0.589 0.627 S5 0.416 0.435 0.611 S6 0.601 0.474 0.494 S7 0.577 0.449 0.477 S8 0.396 0.492 0.462 S9 0.335 0.487 0.282 S11 0.141 0.528 0.632 0.333 S12 0.315 0.572 0.191 0.281 S13 0.483 0.496 0.316 0.265 S14 0.000 0.447 0.329 0.327 S15 0.000 0.231 0.479 0.403 S16 0.116 0.223 0.513 0.318 S17 0.537 0.401 0.023 0.204 S18 0.344 0.378 0.047 0.201 S19 0.233 0.347 0.345 S20 0.145 0.376 0.370 S21 0.147 0.347 0.345 average 0.325 0.460 0.418 0.291

[0099] Regarding the Jinsha River system, summer and autumn are the high-water seasons, with both water levels and flow rates being high, while winter and spring are the low-water seasons, with water levels and flow rates being relatively low. Based on the hydrological periods, it can be inferred that the connectivity of the upper reaches of the Jinsha River is better during the flood season than during the dry season. Our index shows that the values ​​in summer and autumn are significantly higher than those in winter and spring, with summer values ​​higher than autumn values ​​and spring values ​​higher than winter values, which is in line with expectations.

[0100] Table 6

[0101]

[0102]

[0103] Table 7

[0104] Position C D E C' D' E' Con_RL Evaluation results S1 0.681 0.580 0.856 4 3 5 4 good S2 0.597 0.574 0.734 3 3 4 3.2 middle S3 0.659 0.495 0.526 4 3 3 3.6 middle S4 0.589 0.328 0.609 3 2 4 3 good S5 0.435 0.838 0.706 3 5 4 3.6 good S6 0.474 0.828 0.771 3 5 4 3.6 excellent S7 0.449 0.770 0.757 3 4 4 3.4 good S8 0.492 0.719 0.782 3 4 4 3.4 middle S9 0.487 0.861 0.761 3 5 4 3.6 good S11 0.528 0.800 0.905 3 5 5 3.8 middle S12 0.572 0.617 0.789 3 4 4 3.4 middle S13 0.496 0.444 0.945 3 3 5 3.4 good S14 0.447 0.444 0.945 3 3 5 3.4 middle S15 0.231 0.000 1.000 2 1 5 2.4 Difference S16 0.223 0.444 0.945 2 3 5 2.8 middle S17 0.401 0.698 0.807 3 4 5 3.6 good S18 0.378 0.462 0.735 2 3 4 2.6 middle S19 0.347 0.714 0.495 2 4 3 2.6 middle S20 0.376 0.891 0.821 2 5 5 3.2 middle S21 0.347 0.824 0.778 2 5 4 3 middle average 0.460 0.576 0.833 3 4 4 3.4 good

[0105] Table 8

[0106]

[0107]

[0108] Table 9

[0109] Position C D E C' D' E' Con_RL Evaluation results S11 0.333 0.795 0.629 2 4 4 2.8 middle S12 0.281 0.808 0.637 2 5 4 3 good S13 0.265 0.665 0.997 2 4 5 3 good S14 0.327 0.771 0.927 2 4 5 3 good S15 0.403 0.444 0.945 3 3 5 3.4 good S16 0.318 0.781 0.957 2 4 5 3 good S17 0.204 0.762 0.573 2 4 3 2.6 middle S18 0.201 0.749 0.873 2 4 5 3 good average 0.291 0.701 0.855 2 4 5 3 good

[0110] In terms of different seasons, the overall connectivity of the Jinsha River system is significantly better in summer and autumn than in winter and spring, which is in line with expectations.

[0111] Case 4, referring to Tables 10 and 13. Table 10 shows the connectivity C of each station at the Ganjiang River tail end during different hydrological periods. Table 11 shows the connectivity evaluation of the Ganjiang River tail end during the high-water season. Table 12 shows the connectivity evaluation of the Ganjiang River tail end during the normal-water season. Table 13 shows the connectivity evaluation of the Ganjiang River tail end during the low-water season. The data comes from the 2018 field observation data of the Ganjiang River tail end in Jiangxi lakes. The study section is the Ganjiang River section in Nanchang and its several tributaries flowing into the lake.

[0112] Table 10

[0113] Position High water season Normal water period Dry season GAN01 0.522 0.349 0.516 GAN02 0.539 0.568 0.343 GAN03 0.462 0.559 0.312 GJBZ01 0.480 0.423 0.366 GJBZ02 0.445 0.352 0.460 GJBZ03 0.331 0.265 0.457 GJNZ01 0.459 0.395 0.524 GJNZ02 0.500 0.060 0.472 GJNZ03 0.457 0.628 0.495 GJNZ04 0.445 0.709 0.636 GJNZ05 0.349 0.256 0.498 GJNZ06 0.570 0.713 0.638 GJZU01 0.482 0.510 0.657 GJZU02 0.396 0.462 0.538 GJZU03 0.259 0.568 0.677 GJZU04 0.428 0.737 0.310 GJZU05 0.200 0.556 0.308 GJZU06 0.386 0.565 0.311 GJZU07 0.536 0.540 0.620 GJZU08 0.388 0.597 0.632 GJZZ01 0.538 0.492 0.482 GJZZ02 0.556 0.465 0.464 GJZZ03 0.383 0.000 0.370 GJZZ04 0.385 0.598 0.485 GJZZ05 0.456 0.560 average 0.438 0.477 0.482

[0114] Table 11

[0115]

[0116]

[0117] Table 12

[0118]

[0119]

[0120] Table 13

[0121] Position C D E C' D' E' Con_RL Evaluation results GAN01 0.516 0.722 0.548 3 4 3 3.2 good GAN02 0.343 0.851 0.980 2 5 5 3.2 good GAN03 0.312 0.016 0.177 2 1 1 1.6 Difference GJBZ01 0.366 0.656 0.841 2 4 5 3 good GJBZ02 0.460 0.778 0.952 3 4 5 3.6 good GJBZ03 0.457 0.810 0.831 3 5 5 3.8 good GJNZ01 0.524 0.772 0.562 3 4 3 3.2 good GJNZ02 0.472 0.531 0.492 3 3 3 3 good GJNZ03 0.495 0.667 1.000 3 4 5 3.6 good GJNZ04 0.636 0.328 0.498 4 2 3 3.4 good GJNZ05 0.498 0.673 0.329 3 4 2 3 good GJNZ06 0.638 0.443 0.356 4 3 2 3.4 good GJZU01 0.657 0.305 0.594 4 2 3 3.4 good GJZU02 0.538 0.584 0.519 3 3 3 3 good GJZU03 0.677 0.000 1.000 4 1 5 3.6 good GJZU04 0.310 0.000 1.000 2 1 5 2.4 middle GJZU05 0.308 0.054 0.385 2 1 2 1.8 Difference GJZU06 0.311 0.018 0.134 2 1 1 1.6 Difference GJZU07 0.620 0.446 0.606 4 3 4 3.8 good GJZU08 0.632 0.585 0.702 4 3 4 3.8 good GJZZ01 0.482 0.549 0.575 3 3 3 3 good GJZZ02 0.464 0.460 0.743 3 3 4 3.2 good GJZZ03 0.370 0.366 0.374 2 2 2 2 middle GJZZ04 0.485 0.722 0.945 3 4 5 3.6 good average 0.482 0.472 0.631 3 3 4 3.2 good

[0122] The evaluation results show that the connectivity of the Ganjiang River estuary during the high-water season is slightly better than that during the normal and low-water seasons. Specifically, all stations are in a medium to good condition during the high-water season, while some stations are in a poor condition during the normal and low-water seasons, which is in line with expectations.

[0123] Case 5, refer to Tables 14 to 18. Table 14 shows the connectivity C of each station in the Yangzhou water system in different seasons. Table 15 shows the connectivity evaluation of the Yangzhou water network in spring. Table 16 shows the connectivity evaluation of the Yangzhou water network in summer. Table 17 shows the connectivity evaluation of the Yangzhou water network in autumn. Table 18 shows the connectivity evaluation of the Yangzhou water network in winter.

[0124] Table 14

[0125]

[0126]

[0127] The above analysis shows that the connectivity of Yangzhou's water network is highest in autumn, followed by summer and spring, and lowest in winter, which is in line with expectations. Based on the hydrological conditions of Yangzhou's urban rivers, water levels and flows are higher in summer and autumn, leading to significant improvements in connectivity at various cross-sections. Therefore, the connectivity calculated based on benthic animal data can generally reflect the actual situation.

[0128] Table 15

[0129] Position C D E C' D' E' Con_RL Evaluation results 1. Yangzhou Gate 0.493 0.486 0.393 3 3 2 2.8 middle 2. Ancient Grand Canal 0.473 0.568 0.851 3 3 5 3.4 good 3. New City River 0.353 0.082 0.409 2 1 3 2 Difference 4. Party School Bridge 0.591 0.094 0.415 3 1 3 2.6 middle 5. Yichang River 0.412 0.000 1.000 3 1 5 3 good 6. Jianzhuang 0.243 0.580 0.856 2 3 5 2.8 middle 7. Zhaojiagou 0.296 0.432 0.317 2 3 2 2.2 middle 8. Tidal Bore River 0.413 0.000 1.000 3 1 5 3 good 9. Xinggou 0.582 0.123 0.234 3 1 2 2.4 middle 10. Yinjiaqiao 0.164 0.716 0.833 1 4 5 2.4 middle 11. Along the mountains and rivers 0.533 0.414 0.369 3 3 2 2.8 middle 12. Nian Sihe 0.408 0.188 0.700 3 1 4 2.8 middle 13. Moat 0.534 0.497 0.595 3 3 3 3 good 14. Caohe River 0.548 0.362 0.379 3 2 2 2.6 middle 15. Willow Lake 0.574 0.194 0.229 3 1 2 2.4 middle 16. Tongyang Bridge 0.212 0.722 0.821 2 4 5 3 good 17. Baodai River 0.335 0.777 0.812 2 4 5 3 good 18. Qinhuai River 0.159 0.555 0.348 1 3 2 1.6 Difference average 0.407 0.377 0.587 3 2 3 2.8 middle

[0130] Table 16

[0131]

[0132] Table 17

[0133]

[0134]

[0135] Table 18

[0136] Position C D E C' D' E' Con_RL Evaluation results 1. Yangzhou Gate 0.355 0.750 0.518 2 4 3 2.6 middle 2. Ancient Grand Canal 0.405 0.560 0.862 3 3 5 3.4 good 3. New City River 0.279 0.044 0.557 2 1 3 2 middle 4. Party School Bridge 0.573 0.348 0.590 3 2 3 2.8 middle 5. Yichang River 0.292 0.340 0.632 2 2 4 2.4 middle 6. Jianzhuang 0.280 0.000 1.000 2 1 5 2.4 middle 7. Zhaojiagou 0.268 0.253 0.352 2 2 2 2 middle 8. Tidal Bore River 0.385 0.000 1.000 2 1 5 2.4 middle 9. Xinggou 0.229 0.847 0.782 2 5 4 3 good 10. Yinjiaqiao 0.163 0.397 0.450 1 2 3 1.6 Difference 11. Along the mountains and rivers 0.068 0.135 0.333 1 1 2 1.2 Difference 13. Moat 0.469 0.677 0.765 3 4 4 3.4 good 14. Caohe River 0.363 0.544 0.611 2 3 4 2.6 middle 15. Willow Lake 0.583 0.278 0.785 3 2 4 3 good 16. Tongyang Bridge 0.442 0.711 0.812 3 4 5 3.6 good 17. Baodai River 0.273 0.311 0.474 2 2 3 2.2 middle 18. Qinhuai River 0.329 0.746 0.740 2 4 4 2.8 middle average 0.339 0.408 0.663 2 3 4 2.6 middle

[0137] Based on the comprehensive evaluation results, the connectivity of Yangzhou's water network is moderate in spring and winter, and good in summer and autumn. The connectivity in summer and autumn is better than that in spring and winter. From a hydrological perspective, the water level and flow rate in summer and autumn are higher than those in winter and spring, indicating that the evaluation results are in line with expectations.

[0138] Additionally, refer to Figure 2 One embodiment of the present invention provides a river and lake connectivity assessment system, including a data acquisition module 1100, a species niche width calculation module 1200, a diversity calculation module 1300, a cross-sectional connectivity value calculation module 1400, and a connectivity evaluation module 1500, wherein:

[0139] The data acquisition module 1100 is used to acquire the number of cross sections in the river and lake area to be evaluated and the species community composition of each cross section;

[0140] The species niche width calculation module 1200 is used to calculate the species niche width based on the number of cross sections and the species community composition of each cross section.

[0141] The diversity calculation module 1300 is used to calculate the species diversity value and species evenness value of each cross section based on the species community composition of each cross section.

[0142] The cross-sectional connectivity value calculation module 1400 is used to calculate the cross-sectional connectivity value based on the species niche width and the species community composition of each cross section.

[0143] The connectivity evaluation module 1500 is used to calculate the comprehensive connectivity value based on the cross-sectional connectivity value, species diversity value, species evenness value and the pre-set grading and scoring standards, and to determine the connectivity level of the river and lake area to be evaluated based on the comprehensive connectivity value and the pre-set grading standards.

[0144] This system obtains the number of cross sections in the river and lake area to be evaluated and the species community composition of each cross section. Based on the number of cross sections and the species community composition of each cross section, it calculates the species niche width, species diversity and evenness values, and cross section connectivity values. Finally, it calculates the comprehensive connectivity value based on the cross section connectivity value, species diversity value, species evenness value, and pre-set grading standards. Based on the comprehensive connectivity value and pre-set grading standards, it determines the connectivity level of the river and lake area to be evaluated. This system, based on species niche theory, enables quantitative evaluation of the connectivity of the entire river and lake network while also quantitatively evaluating the connectivity of individual cross sections, improving the accuracy of river and lake connectivity assessment.

[0145] It should be noted that this system embodiment is based on the same inventive concept as the above system embodiment. Therefore, the relevant content of the above method embodiment is also applicable to this system embodiment, and will not be repeated here.

[0146] This application also provides an electronic device for determining river and lake connectivity, including: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the river and lake connectivity determination method described above.

[0147] The processor and memory can be connected via a bus or other means.

[0148] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory may optionally include memory remotely located relative to the processor, and these remote memories can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0149] The non-transient software program and instructions required to implement the river-lake connectivity determination method in the above embodiments are stored in memory. When executed by a processor, the river-lake connectivity determination method in the above embodiments is executed, for example, the method described above is executed. Figure 1 The method steps S101 to S105.

[0150] This application also provides a computer-readable storage medium storing computer-executable instructions for executing, such as the river-lake connectivity determination method described above.

[0151] The computer-readable storage medium stores computer-executable instructions that are executed by a processor or controller, for example, by a processor in the above-described electronic device embodiment, causing the processor to perform the river-lake connectivity determination method in the above-described embodiment, for example, to perform the above-described... Figure 1 The method steps S101 to S105.

[0152] It will be understood by those skilled in the art that all or some of the steps and systems in the methods disclosed above can be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components can be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit. Such software can be distributed on a computer-readable medium, which can include computer storage media (or non-transitory media) and communication media (or transient media). As is known to those skilled in the art, the term computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program units, or other data). Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disc (DVD) or other optical disc storage, magnetic cartridges, magnetic tape, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and is accessible to a computer. Furthermore, as is known to those skilled in the art, communication media typically contain computer-readable instructions, data structures, program units, or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium.

[0153] The embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the present invention is not limited to the above embodiments. Within the scope of knowledge possessed by those skilled in the art, various changes can be made without departing from the spirit of the present invention.

Claims

1. A method for determining river and lake connectivity, characterized in that, The methods for determining river and lake connectivity include: Obtain the number of cross sections in the river and lake area to be evaluated and the species community composition of each cross section; The species niche width is calculated based on the number of cross sections and the species community composition of each cross section, wherein the calculation formula for calculating the species niche width based on the number of cross sections and the species community composition of each cross section is as follows: in, The first river and lake area to be evaluated Niche breadth of an individual species The first river and lake area to be evaluated The number of individuals of each species accounts for the [percentage missing]. The proportion of individuals in each cross section The total number of cross sections in the river and lake area to be evaluated; The species diversity value and species evenness value of each cross section are calculated based on the species community composition of each cross section, wherein the calculation formula for calculating the species diversity value and species evenness value of each cross section based on the species community composition of each cross section is as follows: in, The species diversity values ​​of the river and lake area sections to be evaluated. The first cross-section of the river and lake area to be evaluated The proportion of individuals of each species to the total number of individuals in the cross section. The value represents the species evenness of the cross-section in the river and lake area to be evaluated. This represents the total number of species in the cross-section of the river and lake area to be evaluated. The cross-sectional connectivity value is calculated based on the species niche width and the species community composition of each cross-section, wherein the calculation formula for calculating the cross-sectional connectivity value based on the species niche width and the species community composition of each cross-section is as follows: in, This represents the cross-sectional connectivity value. For the cross section Number of species in each species This represents the total number of all species appearing in the cross-section. This represents the total number of species in the cross-section. The comprehensive connectivity value is calculated based on the cross-sectional connectivity value, the species diversity value, the species evenness value, and the pre-set grading and scoring criteria. The connectivity level of the river and lake area to be evaluated is then determined based on the comprehensive connectivity value and the pre-set grading criteria.

2. The method for determining river and lake connectivity according to claim 1, characterized in that, The acquisition of the number of cross sections in the river and lake area to be evaluated includes: The cross-sections of the river and lake area to be evaluated are set according to the pre-set locations to obtain the number of cross-sections of the river and lake area to be evaluated.

3. The method for determining river and lake connectivity according to claim 2, characterized in that, The acquisition of species community composition for each cross section of the river and lake area to be evaluated includes: Aquatic organisms were sampled and species were identified at each cross section of the river and lake area to be evaluated, and species identification results were obtained. Based on the species identification results, the data are processed to obtain the species community composition of each cross section of the river and lake area to be evaluated.

4. The method for determining river and lake connectivity according to claim 3, characterized in that, The formula for calculating the comprehensive connectivity value based on the cross-sectional connectivity value, the species diversity value, the species evenness value, and the pre-set grading and scoring criteria is as follows: Con_RL=0.6* +0.2*D'+0.2*E' Wherein, Con_RL is the overall connectivity value, C' is the score of C obtained according to the pre-set hierarchical scoring standard, D' is the score of D obtained according to the pre-set hierarchical scoring standard, and E' is the score of E obtained according to the pre-set hierarchical scoring standard.

5. A river and lake connectivity determination system, characterized in that, The river and lake connectivity assessment system includes: The data acquisition module is used to acquire the number of cross sections in the river and lake area to be evaluated and the species community composition of each cross section; A species niche width calculation module is used to calculate the species niche width based on the number of cross sections and the species community composition of each cross section. The calculation formula for calculating the species niche width based on the number of cross sections and the species community composition of each cross section is as follows: in, The first river and lake area to be evaluated Niche breadth of an individual species The first river and lake area to be evaluated The number of individuals of each species accounts for the [percentage missing]. The proportion of individuals in each cross section The total number of cross sections in the river and lake area to be evaluated; The diversity calculation module is used to calculate the species diversity value and species evenness value of each cross-section based on the species community composition of each cross-section, wherein the calculation formula for calculating the species diversity value and species evenness value of each cross-section based on the species community composition of each cross-section is as follows: in, The species diversity values ​​of the river and lake area sections to be evaluated. The first cross-section of the river and lake area to be evaluated The proportion of individuals of each species to the total number of individuals in the cross section. The value represents the species evenness of the cross-section in the river and lake area to be evaluated. This represents the total number of species in the cross-section of the river and lake area to be evaluated. The cross-sectional connectivity value calculation module is used to calculate the cross-sectional connectivity value based on the species niche width and the species community composition of each cross-section, wherein the calculation formula for calculating the cross-sectional connectivity value based on the species niche width and the species community composition of each cross-section is as follows: in, This represents the cross-sectional connectivity value. For the cross section Number of species in each species This represents the total number of all species appearing in the cross-section. This represents the total number of species in the cross-section. The connectivity evaluation module is used to calculate a comprehensive connectivity value based on the cross-sectional connectivity value, the species diversity value, the species evenness value, and a pre-set grading and scoring standard, and to determine the connectivity level of the river and lake area to be evaluated based on the comprehensive connectivity value and the pre-set grading standard.

6. A device for determining river and lake connectivity, characterized in that, It includes at least one control processor and a memory for communicatively connecting to the at least one control processor; the memory stores instructions that can be executed by the at least one control processor to enable the at least one control processor to perform a river-lake connectivity determination method as described in any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions for causing a computer to perform a river and lake connectivity determination method as described in any one of claims 1 to 4.

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